CNBR: publications
Data retrieved from SciVal platform (Scopus database) on September 30, 2020.
Publications are categorized in accordance with lists of Academic personnel for each particular year.
2018 1-16, S5
2019 17-40, S2
2020 41-63, S1,S3,S4,S6,S7
1. Xu, C., Li, Q., Efimova, O., He, L., Tatsumoto, S., Stepanova, V., Oishi, T., Udono, T., Yamaguchi, K., Shigenobu, S., Kakita, A., Nawa, H., Khaitovich, P., Go, Y.
(2018).Human-specific features of spatial gene expression and regulation in eight brain regions.
Genome Research,28(8) 1097-1110
DOI: 10.1101/gr.231357.117
Scopus: 2-s2.0-85050863625

2. Yu, Q., He, Z., Zubkov, D., Huang, S., Kurochkin, I., Yang, X., Halene, T., Willmitzer, L., Giavalisco, P., Akbarian, S., Khaitovich, P.
(2018).Lipidome alterations in human prefrontal cortex during development, aging, and cognitive disorders.
Molecular Psychiatry,
DOI: 10.1038/s41380-018-0200-8
Scopus: 2-s2.0-85052542830

3. Hu, H., Liu, J.-M., Hu, Z., Jiang, X., Yang, X., Li, J., Zhang, Y., Yu, H., Khaitovich, P.
(2018).Recently evolved tumor suppressor transcript tp73-as1 functions as sponge of human-specific mir-941.
Molecular Biology and Evolution,35(5) 1063-1077
DOI: 10.1093/molbev/msy022
Scopus: 2-s2.0-85052005286

4. Mazin, P.V., Shagimardanova, E., Kozlova, O., Cherkasov, A., Sutormin, R., Stepanova, V.V., Stupnikov, A., Logacheva, M., Penin, A., Sogame, Y., Cornette, R., Tokumoto, S., Miyata, Y., Kikawada, T., Gelfand, M.S., Gusev, O.
(2018).Cooption of heat shock regulatory system for anhydrobiosis in the sleeping chironomid Polypedilum vanderplanki.
Proceedings of the National Academy of Sciences of the United States of America,115(10) E2477-E2486
DOI: 10.1073/pnas.1719493115
Scopus: 2-s2.0-85042937312

5. Pimkin, A., Makarchuk, G., Kondratenko, V., Pisov, M., Krivov, E., Belyaev, M.
(2018).Ensembling Neural Networks for Digital Pathology Images Classification and Segmentation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),10882877-886
DOI: 10.1007/978-3-319-93000-8_100
Scopus: 2-s2.0-85049460351

6. Funikov, S.Y., Rezvykh, A.P., Mazin, P.V., Morozov, A.V., Maltsev, A.V., Chicheva, M.M., Vikhareva, E.A., Evgen'ev, M.B., Ustyugov, A.A.
(2018).FUS(1-359) transgenic mice as a model of ALS: pathophysiological and molecular aspects of the proteinopathy.
Neurogenetics,19(3) 189-204
DOI: 10.1007/s10048-018-0553-9
Scopus: 2-s2.0-85049578654

7. Xiong, J., Jiang, X., Ditsiou, A., Gao, Y., Sun, J., Lowenstein, E.D., Huang, S., Khaitovich, P.
(2018).Predominant patterns of splicing evolution on human, chimpanzee and macaque evolutionary lineages.
Human Molecular Genetics,27(8) 1474-1485
DOI: 10.1093/hmg/ddy058
Scopus: 2-s2.0-85045429168

8. Khrameeva, E., Kurochkin, I., Bozek, K., Giavalisco, P., Khaitovich, P.
(2018).Lipidome evolution in mammalian tissues.
Molecular Biology and Evolution,35(8) 1947-1957
DOI: 10.1093/molbev/msy097
Scopus: 2-s2.0-85052783094

9. Shmulev, Y., Belyaev, M.,
(2018).Predicting conversion of mild cognitive impairments to alzheimer's disease and exploring impact of neuroimaging.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),1104483-91
DOI: 10.1007/978-3-030-00689-1_9
Scopus: 2-s2.0-85054419130

10. Krivov, E., Pisov, M., Belyaev, M.
(2018).MRI augmentation via elastic registration for brain lesions segmentation.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),10670369-380
DOI: 10.1007/978-3-319-75238-9_32
Scopus: 2-s2.0-85042524513

11. Akkuratov, E.E., Gelfand, M.S., Khrameeva, E.E.
(2018).Neanderthal and Denisovan ancestry in Papuans: A functional study.
Journal of Bioinformatics and Computational Biology,16(2)
DOI: 10.1142/S0219720018400115
Scopus: 2-s2.0-85046850025

12. Mazin, P.V., Jiang, X., Fu, N., Han, D., Guo, M., Gelfand, M.S., Khaitovich, P.
(2018).Conservation, evolution, and regulation of splicing during prefrontal cortex development in humans, chimpanzees, and macaques.
RNA,24(4) 585-596
DOI: 10.1261/rna.064931.117
Scopus: 2-s2.0-85044961085

13. Krivov, E., Kostjuchenko, V., Dalechina, A., Shirokikh, B., Makarchuk, G., Denisenko, A., Golanov, A., Belyaev, M.
(2018).Tumor delineation for brain radiosurgery by a ConvNet and non-uniform patch generation.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),11075122-129
DOI: 10.1007/978-3-030-00500-9_14
Scopus: 2-s2.0-85054415914

14. Kostyukevich, Y., Bugrova, A., Chagovets, V., Brzhozovskiy, A., Indeykina, M., Vanyushkina, A., Zherebker, A., Mitina, A., Kononikhin, A., Popov, I., Khaitovich, P., Nikolaev, E.
(2018).Proteomic and lipidomic analysis of mammoth bone by high-resolution tandem mass spectrometry coupled with liquid chromatography.
European Journal of Mass Spectrometry,24(6) 411-419
DOI: 10.1177/1469066718813728
Scopus: 2-s2.0-85058313138

15. Pavlova, A.A., Vanyushkina, A., Ushina, E.A., Egorova, A.N., Petrova, D.А., Anikanov, N.А., Mazin, P.V.
(2018).Lipid composition of muscle and fat tissues of duroc pigs (Sus scrofa domesticus Erxleben, 1777) - features and correlations.
Sel'skokhozyaistvennaya Biologiya,53(6) 1262-1273
DOI: 10.15389/AGROBIOLOGY.2018.6.1262ENG
Scopus: 2-s2.0-85064626331

16. Belyaev, M., Dodonova, Y., Belyaeva, D., Krivov, E., Gutman, B., Faskowitz, J., Jahanshad, N., Thompson, P.
(2018).Using geometry of the set of symmetric positive semidefinite matrices to classify structural brain networks.
Springer Proceedings in Mathematics and Statistics,247257-267
DOI: 10.1007/978-3-319-96247-4_18
Scopus: 2-s2.0-85053916261

S5. Savin, I., Ershova, K., Kurdyumova, N.,Ershova, O., Khomenko, O., Danilov, G.,Shifrin, M., Zelman, V.
(2018) Healthcare-associated ventriculitis and meningitis in a neuro-ICU: Incidence and risk factors selected by machine learning approach
Journal of Critical Care, 2018, 45, 95-104
DOI: 10.1016/j.jcrc.2018.01.022
Scopus: 2-s2.0-85056164308
17. Kanton, S., Boyle, M.J., He, Z., Santel, M., Weigert, A., Sanchís-Calleja, F., Guijarro, P., Sidow, L., Fleck, J.S., Han, D., Qian, Z., Heide, M., Huttner, W.B., Khaitovich, P., Pääbo, S., Treutlein, B., Camp, J.G.
(2019).Organoid single-cell genomic atlas uncovers human-specific features of brain development.
Nature,574(7778) 418-422
DOI: 10.1038/s41586-019-1654-9
Scopus: 2-s2.0-85073480809

18. Cardoso-Moreira, M., Halbert, J., Valloton, D., Velten, B., Chen, C., Shao, Y., Liechti, A., Ascenção, K., Rummel, C., Ovchinnikova, S., Mazin, P.V., Xenarios, I., Harshman, K., Mort, M., Cooper, D.N., Sandi, C., Soares, M.J., Ferreira, P.G., Afonso, S., Carneiro, M., Turner, J.M.A., VandeBerg, J.L., Fallahshahroudi, A., Jensen, P., Behr, R., Lisgo, S., Lindsay, S., Khaitovich, P., Huber, W., Baker, J., Anders, S., Zhang, Y.E., Kaessmann, H.
(2019).Gene expression across mammalian organ development.
Nature,571(7766) 505-509
DOI: 10.1038/s41586-019-1338-5
Scopus: 2-s2.0-85065531911

19. Kuijf, H.J., Casamitjana, A., Collins, D.L., Dadar, M., Georgiou, A., Ghafoorian, M., Jin, D., Khademi, A., Knight, J., Li, H., Lladó, X., Biesbroek, J.M., Luna, M., Mahmood, Q., Mckinley, R., Mehrtash, A., Ourselin, S., Park, B.-Y., Park, H., Park, S.H., Pezold, S., Puybareau, E., De Bresser, J., Rittner, L., Sudre, C.H., Valverde, S., Vilaplana, V., Wiest, R., Xu, Y., Xu, Z., Zeng, G., Zhang, J., Zheng, G., Heinen, R., Chen, C., Van Der Flier, W., Barkhof, F., Viergever, M.A., Biessels, G.J., Andermatt, S., Bento, M., Berseth, M., Belyaev, M., Cardoso, M.J.
(2019).Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge.
IEEE Transactions on Medical Imaging,38(11) 2556-2568
DOI: 10.1109/TMI.2019.2905770
Scopus: 2-s2.0-85074378885

20. Chugunova, A., Loseva, E., Mazin, P., Mitina, A., Navalayeu, T., Bilan, D., Vishnyakova, P., Marey, M., Golovina, A., Serebryakova, M., Pletnev, P., Rubtsova, M., Mair, W., Vanyushkina, A., Khaitovich, P., Belousov, V., Vysokikh, M., Sergiev, P., Dontsova, O.
(2019).LINC00116 codes for a mitochondrial peptide linking respiration and lipid metabolism.
Proceedings of the National Academy of Sciences of the United States of America,116(11) 4940-4945
DOI: 10.1073/pnas.1809105116
Scopus: 2-s2.0-85062832170

21. Tyshkovskiy, A., Bozaykut, P., Borodinova, A.A., Gerashchenko, M.V., Ables, G.P., Garratt, M., Khaitovich, P., Clish, C.B., Miller, R.A., Gladyshev, V.N.
(2019).Identification and Application of Gene Expression Signatures Associated with Lifespan Extension.
Cell Metabolism,30(3) 573-593.e8
DOI: 10.1016/j.cmet.2019.06.018
Scopus: 2-s2.0-85071304011

22. Goryunov, D.V., Anisimova, I.N., Gavrilova, V.A., Chernova, A.I., Sotnikova, E.A., Martynova, E.U., Boldyrev, S.V., Ayupova, A.F., Gubaev, R.F., Mazin, P.V., Gurchenko, E.A., Shumskiy, A.A., Petrova, D.A., Garkusha, S.V., Mukhina, Z.M., Benko, N.I., Demurin, Y.N., Khaitovich, P.E., Goryunova, S.V.
(2019).Association mapping of fertility restorer gene for CMS PET1 in sunflower.
Agronomy,9(2)
DOI: 10.3390/agronomy9020049
Scopus: 2-s2.0-85060817283

23. Kurochkin, I., Khrameeva, E., Tkachev, A., Stepanova, V., Vanyushkina, A., Stekolshchikova, E., Li, Q., Zubkov, D., Shichkova, P., Halene, T., Willmitzer, L., Giavalisco, P., Akbarian, S., Khaitovich, P.
(2019).Metabolome signature of autism in the human prefrontal cortex.
Communications Biology,2(1)
DOI: 10.1038/s42003-019-0485-4
Scopus: 2-s2.0-85071176251

24. Swire, M., Kotelevtsev, Y., Webb, D.J., Lyons, D.A., Ffrench-Constant, C.
(2019).Endothelin signalling mediates experience-dependent myelination in the CNS.
eLife,8
DOI: 10.7554/eLife.49493
Scopus: 2-s2.0-85074619777

25. Tyurina, Y.Y., Tyurin, V.A., Anthonymuthu, T., Amoscato, A.A., Sparvero, L.J., Nesterova, A.M., Baynard, M.L., Sun, W., He, R., Khaitovich, P., Vladimirov, Y.A., Gabrilovich, D.I., Bayır, H., Kagan, V.E.
(2019)."Redox lipidomics technology: Looking for a needle in a haystack".
Chemistry and Physics of Lipids,22193-107
DOI: 10.1016/j.chemphyslip.2019.03.012
Scopus: 2-s2.0-85063753439

26. Xu, C., Li, Q., Efimova, O., Jiang, X., Petrova, M., Vinarskaya, A.K., Kolosov, P., Aseyev, N., Koshkareva, K., Ierusalimsky, V.N., Balaban, P.M., Khaitovich, P.
(2019).Identification of immediate early genes in the nervous system of snail helix lucorum.
eNeuro,6(3)
DOI: 10.1523/ENEURO.0416-18.2019
Scopus: 2-s2.0-85066455988

27. Tkachev, A., Stepanova, V., Zhang, L., Khrameeva, E., Zubkov, D., Giavalisco, P., Khaitovich, P.
(2019).Differences in lipidome and metabolome organization of prefrontal cortex among human populations.
Scientific Reports,9(1)
DOI: 10.1038/s41598-019-53762-6
Scopus: 2-s2.0-85075994476

28. Chernova, A., Gubaev, R., Mazin, P., Goryunova, S., Demurin, Y., Gorlova, L., Vanushkina, A., Mair, W., Anikanov, N., Martynova, E., Goryunov, D., Garkusha, S., Mukhina, Z., Khaytovich, P.
(2019).UPLC–MS triglyceride profiling in sunflower and rapeseed seeds.
Biomolecules,9(1)
DOI: 10.3390/biom9010009
Scopus: 2-s2.0-85059222973

29. Chernova, A., Mazin, P., Goryunova, S., Goryunov, D., Demurin, Y., Gorlova, L., Vanyushkina, A., Mair, W., Anikanov, N., Yushina, E., Pavlova, A., Martynova, E., Garkusha, S., Mukhina, Z., Savenko, E., Khaitovich, P.
(2019).Ultra-performance liquid chromatography-mass spectrometry for precise fatty acid profiling of oilseed crops.
PeerJ,2019(3)
DOI: 10.7717/peerj.6547
Scopus: 2-s2.0-85063578230

30. Andreichenko, I.N., Tsitrina, A.A., Fokin, A.V., Gabdulkhakova, A.I., Maltsev, D.I., Perelman, G.S., Bulgakova, E.V., Kulikov, A.M., Mikaelyan, A.S., Kotelevtsev, Y.V.
(2019).4-methylumbelliferone prevents liver fibrosis by affecting hyaluronan deposition, FSTL1 expression and cell localization.
International Journal of Molecular Sciences,20(24)
DOI: 10.3390/ijms20246301
Scopus: 2-s2.0-85076824956

31. Turan, Z.G., Parvizi, P., Dönertaş, H.M., Tung, J., Khaitovich, P., Somel, M.
(2019).Molecular footprint of Medawar's mutation accumulation process in mammalian aging.
Aging Cell,18(4)
DOI: 10.1111/acel.12965
Scopus: 2-s2.0-85068754310

32. Kostyukevich, Y., Vladimirov, G., Stekolschikova, E., Ivanov, D., Yablokov, A., Zherebker, A., Sosnin, S., Orlov, A., Fedorov, M., Khaitovich, P., Nikolaev, E.
(2019).Hydrogen/Deuterium Exchange Aiding Compound Identification for LC-MS and MALDI Imaging Lipidomics.
Analytical Chemistry,91(21) 13465-13474
DOI: 10.1021/acs.analchem.9b02461
Scopus: 2-s2.0-85073376693

33. Pires, C.F., Rosa, F.F., Kurochkin, I., Pereira, C.-F.
(2019).Understanding and Modulating Immunity With Cell Reprogramming.
Frontiers in Immunology,10
DOI: 10.3389/fimmu.2019.02809
Scopus: 2-s2.0-85077260284

34. Pletnev, P.I., Nesterchuk, M.V., Rubtsova, M.P., Serebryakova, M.V., Dmitrieva, K., Osterman, I.A., Bogdanov, A.A., Sergiev, P.V.
(2019).Oligoglutamylation of E. coli ribosomal protein S6 is under growth phase control.
Biochimie,16761-67
DOI: 10.1016/j.biochi.2019.09.008
Scopus: 2-s2.0-85072230378

35. Pisov, M., Goncharov, M., Kurochkina, N., Morozov, S., Gombolevsky, V., Chernina, V., Vladzymyrskyy, A., Zamyatina, K., Cheskova, A., Pronin, I., Shifrin, M., Belyaev, M.
(2019).Incorporating task-specific structural knowledge into CNNs for brain midline shift detection.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),1179730-38
DOI: 10.1007/978-3-030-33850-3_4
Scopus: 2-s2.0-85076210167

36. Safaryan, S.M., Borzenkova, O.V., Kusov, P., Kosolobov, S.S., Kotelevtsev, Y.V., Drachev, V.P.
(2019).Biosensors based on plasmonic nanostructures for the visible and deep UV range.
Optics InfoBase Conference Papers,2019
DOI: 10.1364/OMP.2019.OT3D.5
Scopus: 2-s2.0-85085922472

37. Goryunova, S.V., Goryunov, D.V., Chernova, A.I., Martynova, E.U., Dmitriev, A.E., Boldyrev, S.V., Ayupova, A.F., Mazin, P.V., Gurchenko, E.A., Pavlova, A.S., Petrova, D.A., Chebanova, Y.V., Gorlova, L.A., Garkusha, S.V., Mukhina, Z.M., Savenko, E.G., Demurin, Y.N.
(2019).Genetic and Phenotypic Diversity of the Sunflower Collection of the Pustovoit All-Russia Research Institute of Oil Crops (VNIIMK).
Helia,42(70) 45-60
DOI: 10.1515/helia-2018-0021
Scopus: 2-s2.0-85063196953

38. Safaryan, S.M., Borzenkova, O.V., Kusov, P., Kosolobov, S.S., Kotelevtsev, Y.V., Drachev, V.P.
(2019).Biosensors based on plasmonic nanostructures for the visible and deep UV range.
Optical Molecular Probes, Imaging and Drug Delivery - Proceedings Biophotonics Congress: Optics in the Life Sciences Congress 2019 (BODA, BRAIN, NTM, OMA, OMP),
Scopus: 2-s2.0-85086287412

39. Kondratenko, V., Denisenko, D., Pimkin, A., Belyaev, M.
(2019).Segmentation of thoracic organs at risk in CT images using localization and organ-specific CNN.
CEUR Workshop Proceedings,2349
Scopus: 2-s2.0-85064807081

40. Bozek, K., Khrameeva, E.E., Reznick, J., Omerbašić, D., Bennett, N.C., Lewin, G.R., Azpurua, J., Gorbunova, V., Seluanov, A., Regnard, P., Wanert, F., Marchal, J., Pifferi, F., Aujard, F., Liu, Z., Shi, P., Pääbo, S., Schroeder, F., Willmitzer, L., Giavalisco, P., Khaitovich, P.
(2019).Publisher Correction: Lipidome determinants of maximal lifespan in mammals (Scientific Reports, (2017), 7, 1, (5), 10.1038/s41598-017-00037-7).
Scientific Reports,9(1)
DOI: 10.1038/s41598-019-43122-9
Scopus: 2-s2.0-85065162507

S2. Shashkova T., Martynova E., Ayupova A., Shumskiy A, Ogurtsova P., Kostyunina O, Khaitovich P., Mazin P., Zinovieva N.
(2019). Development of a low-density panel for genomic selection of pigs in Russia.
Translational Animal Science, Volume 4, Issue 1.
DOI: 10.1093/tas/txz182
WOS: C6MKK1Krlk9MUb3swGg
41. Thompson, P.M., Jahanshad, N., Ching, C.R.K.,(...) Wilde, E.A., Zarei, M., Zelman, V.,
(2020).ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries.
Translational Psychiatry,10(1)
DOI: 10.1038/s41398-020-0705-1
Scopus: 2-s2.0-85082148270

42. Muslimov, A.R., Timin, A.S., Bichaykina, V.R., Peltek, O.O., Karpov, T.E., Dubavik, A., Nominé, A., Ghanbaja, J., Sukhorukov, G.B., Zyuzin, M.V.
(2020).Biomimetic drug delivery platforms based on mesenchymal stem cells impregnated with light-responsive submicron sized carriers.
Biomaterials Science,8(4) 1137-1147
DOI: 10.1039/c9bm00926d
Scopus: 2-s2.0-85078692334

43. Zhao, X., Jin, L., Shi, H., Tong, W., Gorin, D., Kotelevtsev, Y., Mao, Z.
(2020).Recent advances of designing dynamic surfaces to regulate cell adhesion.
Colloids and Interface Science Communications,35
DOI: 10.1016/j.colcom.2020.100249
Scopus: 2-s2.0-85079677833

44. Zhang, J., Sun, R., Desouza-Edwards, A.O., Frueh, J., Sukhorukov, G.B.
(2020).Microchamber arrays made of biodegradable polymers for enzymatic release of small hydrophilic cargos.
Soft Matter,16(9) 2266-2275
DOI: 10.1039/c9sm01856e
Scopus: 2-s2.0-85081146700

45. Kurochkin, M.A., Sindeeva, O.A., Brodovskaya, E.P., Gai, M., Frueh, J., Su, L., Sapelkin, A., Tuchin, V.V., Sukhorukov, G.B.
(2020).Laser-triggered drug release from polymeric 3-D micro-structured films via optical fibers.
Materials Science and Engineering C,110
DOI: 10.1016/j.msec.2020.110664
Scopus: 2-s2.0-85078196934

46. Svenskaya, Y.I., Talnikova, E.E., Parakhonskiy, B.V., Tuchin, V.V., Sukhorukov, G.B., Gorin, D.A., Utz, S.R.
(2020).Enhanced topical psoralen–ultraviolet A therapy via targeting to hair follicles.
British Journal of Dermatology,182(6) 1479-1481
DOI: 10.1111/bjd.18800
Scopus: 2-s2.0-85077391008

47. Sindeeva, O.A., Verkhovskii, R.A., Abdurashitov, A.S., Voronin, D.V., Gusliakova, O.I., Kozlova, A.A., Mayorova, O.A., Ermakov, A.V., Lengert, E.V., Navolokin, N.A., Tuchin, V.V., Gorin, D.A., Sukhorukov, G.B., Bratashov, D.N.
(2020).Effect of Systemic Polyelectrolyte Microcapsule Administration on the Blood Flow Dynamics of Vital Organs.
ACS Biomaterials Science and Engineering,6(1) 389-397
DOI: 10.1021/acsbiomaterials.9b01669
Scopus: 2-s2.0-85076948918

48. Gao, Y., Yu, G., Xing, K., Gorin, D., Kotelevtsev, Y., Tong, W., Mao, Z.
(2020).Finely tuned Prussian blue-based nanoparticles and their application in disease treatment. Journal of materials chemistry. B,8(32) 7121-7134
DOI: 10.1039/d0tb01248c
Scopus: 2-s2.0-85089712663

49. Mayorova, O.A., Sindeeva, O.A., Lomova, M.V., Gusliakova, O.I., Tarakanchikova, Y.V., Tyutyaev, E.V., Pinyaev, S.I., Kulikov, O.A., German, S.V., Pyataev, N.A., Gorin, D.A., Sukhorukov, G.B.
(2020).Endovascular addressing improves the effectiveness of magnetic targeting of drug carrier. Comparison with the conventional administration method.
Nanomedicine: Nanotechnology, Biology, and Medicine,28
DOI: 10.1016/j.nano.2020.102184
Scopus: 2-s2.0-85085621870

50. Abashev, M., Stekolshchikova, E., Stavrianidi, A.
(2020).Quantitative aspects of the hydrolysis of ginseng saponins: Application in HPLC-MS analysis of herbal products.
Journal of Ginseng Research,
DOI: 10.1016/j.jgr.2020.07.001
Scopus: 2-s2.0-85088118226

51. Li, J., Li, T., Gorin, D., Kotelevtsev, Y., Mao, Z., Tong, W.
(2020).Construction and characterization of magnetic cascade metal-organic framework/enzyme hybrid nanoreactors with enhanced effect on killing cancer cells.
Colloids and Surfaces A: Physicochemical and Engineering Aspects,601
DOI: 10.1016/j.colsurfa.2020.124990
Scopus: 2-s2.0-85085727268

52. Mitina, A., Mazin, P., Vanyushkina, A., Anikanov, N., Mair, W., Guo, S., Khaitovich, P.
(2020).Lipidome analysis of milk composition in humans, monkeys, bovids, and pigs.
BMC Evolutionary Biology,20(1)
DOI: 10.1186/s12862-020-01637-0
Scopus: 2-s2.0-85086754154

53. Zhang, J., Gai, M., Ignatov, A.V., Dyakov, S.A., Wang, J., Gippius, N.A., Frueh, J., Sukhorukov, G.B.
(2020).Stimuli-Responsive Microarray Films for Real-Time Sensing of Surrounding Media, Temperature, and Solution Properties via Diffraction Patterns.
ACS Applied Materials and Interfaces,12(16) 19080-19091
DOI: 10.1021/acsami.0c05349
Scopus: 2-s2.0-85084026881

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