Sergey A. Kozin

2.7k total citations
104 papers, 2.1k citations indexed

About

Sergey A. Kozin is a scholar working on Physiology, Molecular Biology and Nutrition and Dietetics. According to data from OpenAlex, Sergey A. Kozin has authored 104 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Physiology, 55 papers in Molecular Biology and 25 papers in Nutrition and Dietetics. Recurrent topics in Sergey A. Kozin's work include Alzheimer's disease research and treatments (72 papers), Trace Elements in Health (25 papers) and Computational Drug Discovery Methods (22 papers). Sergey A. Kozin is often cited by papers focused on Alzheimer's disease research and treatments (72 papers), Trace Elements in Health (25 papers) and Computational Drug Discovery Methods (22 papers). Sergey A. Kozin collaborates with scholars based in Russia, France and United Kingdom. Sergey A. Kozin's co-authors include Alexander Makarov, Pascale Debey, Séverine Zirah, Vladimir A. Mitkevich, Sylvie Rebuffat, Alexandra A. Kulikova, Philipp O. Tsvetkov, Alexander I. Archakov, Igor Popov and Alexey K. Mazur and has published in prestigious journals such as Journal of Biological Chemistry, Angewandte Chemie International Edition and Journal of Molecular Biology.

In The Last Decade

Sergey A. Kozin

103 papers receiving 2.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sergey A. Kozin Russia 26 1.4k 1.0k 484 459 381 104 2.1k
Deborah J. Tew Australia 26 1.8k 1.3× 1.0k 1.0× 517 1.1× 380 0.8× 426 1.1× 35 2.6k
Vello Tõugu Estonia 21 800 0.6× 638 0.6× 424 0.9× 244 0.5× 297 0.8× 48 1.6k
Marc d. Paradis United States 8 1.4k 1.0× 722 0.7× 735 1.5× 225 0.5× 270 0.7× 10 2.1k
Hyuck Jin Lee South Korea 22 1.2k 0.9× 603 0.6× 208 0.4× 465 1.0× 646 1.7× 45 2.1k
Keyla Perez Australia 21 1.5k 1.0× 789 0.8× 394 0.8× 304 0.7× 319 0.8× 40 2.1k
Lars Hesse Germany 17 1.2k 0.8× 941 0.9× 537 1.1× 133 0.3× 275 0.7× 21 2.1k
Fedá E. Ali Australia 12 1.1k 0.8× 512 0.5× 329 0.7× 172 0.4× 223 0.6× 15 1.5k
Philipp O. Tsvetkov Russia 23 753 0.5× 1.0k 1.0× 209 0.4× 233 0.5× 188 0.5× 55 1.7k
Alaina S. DeToma United States 13 779 0.5× 345 0.3× 165 0.3× 292 0.6× 320 0.8× 16 1.2k
Kanchan Garai India 23 1.2k 0.8× 1.3k 1.2× 132 0.3× 254 0.6× 177 0.5× 46 2.3k

Countries citing papers authored by Sergey A. Kozin

Since Specialization
Citations

This map shows the geographic impact of Sergey A. Kozin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sergey A. Kozin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergey A. Kozin more than expected).

Fields of papers citing papers by Sergey A. Kozin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sergey A. Kozin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sergey A. Kozin. The network helps show where Sergey A. Kozin may publish in the future.

Co-authorship network of co-authors of Sergey A. Kozin

This figure shows the co-authorship network connecting the top 25 collaborators of Sergey A. Kozin. A scholar is included among the top collaborators of Sergey A. Kozin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sergey A. Kozin. Sergey A. Kozin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kozin, Sergey A., et al.. (2023). A Thermodynamic Model of the Formation of Protein Aggregates on a Matrix. BIOPHYSICS. 68(6). 934–944. 1 indexed citations
2.
3.
Zolotarev, Yu. A., Vladimir A. Mitkevich, С. И. Шрам, et al.. (2021). Pharmacokinetics and Molecular Modeling Indicate nAChRα4-Derived Peptide HAEE Goes through the Blood–Brain Barrier. Biomolecules. 11(6). 909–909. 9 indexed citations
4.
Barykin, Evgeny P., Anastasia A. Anashkina, Alexei A. Adzhubei, et al.. (2020). Tetrapeptide Ac-HAEE-NH2 Protects α4β2 nAChR from Inhibition by Aβ. International Journal of Molecular Sciences. 21(17). 6272–6272. 13 indexed citations
5.
Radko, Sergey P., et al.. (2019). Влияние мутаций H6R и D7H на модулирование цинк-индуцированной агрегации амилоида-β гепарином. Молекулярная биология. 53(6). 1049–1056. 1 indexed citations
6.
Kozin, Sergey A. & Alexander А. Makarov. (2019). Конвергенция концепций патогенеза болезни Альцгеймера. Молекулярная биология. 53(6). 1020–1028. 12 indexed citations
7.
8.
Polshakov, Vladimir I., Alexey B. Mantsyzov, Sergey A. Kozin, et al.. (2017). A Binuclear Zinc Interaction Fold Discovered in the Homodimer of Alzheimer's Amyloid‐β Fragment with Taiwanese Mutation D7H. Angewandte Chemie International Edition. 56(39). 11734–11739. 26 indexed citations
9.
Polshakov, Vladimir I., Alexey B. Mantsyzov, Sergey A. Kozin, et al.. (2017). A Binuclear Zinc Interaction Fold Discovered in the Homodimer of Alzheimer's Amyloid‐β Fragment with Taiwanese Mutation D7H. Angewandte Chemie. 129(39). 11896–11901. 4 indexed citations
10.
11.
Kulikova, Alexandra A., et al.. (2016). Intracerebral Injection of Metal-Binding Domain of Aβ Comprising the Isomerized Asp7 Increases the Amyloid Burden in Transgenic Mice. Neurotoxicity Research. 29(4). 551–557. 25 indexed citations
12.
Radko, Sergey P., Svetlana A. Khmeleva, Elena V. Suprun, et al.. (2015). Physico-chemical methods for studying amyloid-β aggregation. Biochemistry (Moscow) Supplement Series B Biomedical Chemistry. 9(3). 258–274. 11 indexed citations
13.
14.
Kozin, Sergey A., et al.. (2015). New biomarkers and drug targets for diagnosis and therapy of Alzheimer’s disease (molecular determinants of zinc-dependent oligomerization of β-amyloid). S S Korsakov Journal of Neurology and Psychiatry. 115(1). 5–5. 5 indexed citations
15.
Kulikova, Alexandra A., Philipp O. Tsvetkov, Maria I. Indeykina, et al.. (2014). Phosphorylation of Ser8 promotes zinc-induced dimerization of the amyloid-β metal-binding domain. Molecular BioSystems. 10(10). 2590–2596. 46 indexed citations
16.
Medvedev, A. E., О.А. Бунеева, Arthur T. Kopylov, et al.. (2014). The Effects of Endogenous Non-Peptide Molecule Isatin and Hydrogen Peroxide on Proteomic Profiling of Rat Brain Amyloid-β Binding Proteins: Relevance to Alzheimer’s Disease?. International Journal of Molecular Sciences. 16(1). 476–495. 28 indexed citations
17.
Kozin, Sergey A., Yuri V. Mezentsev, Alexandra A. Kulikova, et al.. (2011). Zinc-induced dimerization of the amyloid-β metal-binding domain 1–16 is mediated by residues 11–14. Molecular BioSystems. 7(4). 1053–1055. 65 indexed citations
18.
Tsvetkov, Philipp O., Alexandra A. Kulikova, Andrey V. Golovin, et al.. (2010). Minimal Zn2+ Binding Site of Amyloid-β. Biophysical Journal. 99(10). L84–L86. 103 indexed citations
19.
Zirah, Séverine, Sergey A. Kozin, Alexey K. Mazur, et al.. (2005). Structural Changes of Region 1-16 of the Alzheimer Disease Amyloid β-Peptide upon Zinc Binding and in Vitro Aging. Journal of Biological Chemistry. 281(4). 2151–2161. 263 indexed citations
20.
Jung, Christiane, Sergey A. Kozin, B. Canny, J. C. Chervin, & Gaston Hui Bon Hoa. (2003). Compressibility and uncoupling of cytochrome P450cam: high pressure FTIR and activity studies. Biochemical and Biophysical Research Communications. 312(1). 197–203. 8 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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