Georgy A. Nevinsky

6.9k total citations
287 papers, 5.7k citations indexed

About

Georgy A. Nevinsky is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Georgy A. Nevinsky has authored 287 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 178 papers in Molecular Biology, 105 papers in Radiology, Nuclear Medicine and Imaging and 76 papers in Immunology. Recurrent topics in Georgy A. Nevinsky's work include Monoclonal and Polyclonal Antibodies Research (104 papers), DNA and Nucleic Acid Chemistry (43 papers) and Glycosylation and Glycoproteins Research (38 papers). Georgy A. Nevinsky is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (104 papers), DNA and Nucleic Acid Chemistry (43 papers) and Glycosylation and Glycoproteins Research (38 papers). Georgy A. Nevinsky collaborates with scholars based in Russia, France and Germany. Georgy A. Nevinsky's co-authors include Valentina N. Buneva, Tatyana Kanyshkova, Sergey E. Sedykh, Dmitry O. Zharkov, Anna M. Timofeeva, Dmitry V. Semenov, Б. М. Доронин, Svetlana V. Baranova, Pavel S. Dmitrenok and V. Ya. Prinz and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Georgy A. Nevinsky

278 papers receiving 5.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Georgy A. Nevinsky Russia 39 3.3k 2.1k 1.6k 668 536 287 5.7k
James M. McDonnell United Kingdom 31 3.7k 1.1× 1.0k 0.5× 1.5k 1.0× 193 0.3× 258 0.5× 81 6.2k
Keith K. Stanley Australia 43 3.4k 1.0× 440 0.2× 1.4k 0.9× 315 0.5× 678 1.3× 103 7.4k
L A Herzenberg United States 30 2.5k 0.8× 805 0.4× 2.4k 1.6× 176 0.3× 325 0.6× 45 5.7k
Licia Tomei Italy 44 3.9k 1.2× 940 0.4× 678 0.4× 96 0.1× 360 0.7× 92 7.9k
Gerrit Koopman Netherlands 27 3.0k 0.9× 476 0.2× 2.9k 1.9× 119 0.2× 287 0.5× 98 7.0k
Alan S. Rosenthal United States 39 2.1k 0.6× 884 0.4× 3.6k 2.3× 217 0.3× 506 0.9× 84 6.9k
Matthew B. Renfrow United States 34 2.9k 0.9× 602 0.3× 1.2k 0.8× 105 0.2× 325 0.6× 80 5.3k
Tatsuji Yasuda Japan 38 2.7k 0.8× 806 0.4× 1.7k 1.1× 174 0.3× 460 0.9× 174 5.5k
Brian C. Cunningham United States 33 4.4k 1.3× 1.5k 0.7× 936 0.6× 185 0.3× 871 1.6× 47 6.9k
Peter J. Bugelski United States 39 1.7k 0.5× 535 0.2× 1.6k 1.0× 91 0.1× 239 0.4× 137 5.2k

Countries citing papers authored by Georgy A. Nevinsky

Since Specialization
Citations

This map shows the geographic impact of Georgy A. Nevinsky'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 Georgy A. Nevinsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Georgy A. Nevinsky more than expected).

Fields of papers citing papers by Georgy A. Nevinsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Georgy A. Nevinsky. 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 Georgy A. Nevinsky. The network helps show where Georgy A. Nevinsky may publish in the future.

Co-authorship network of co-authors of Georgy A. Nevinsky

This figure shows the co-authorship network connecting the top 25 collaborators of Georgy A. Nevinsky. A scholar is included among the top collaborators of Georgy A. Nevinsky 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 Georgy A. Nevinsky. Georgy A. Nevinsky 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.
2.
Timofeeva, Anna M., et al.. (2025). Antibodies Specific to Rheumatologic and Neurologic Pathologies Found in Patient with Long COVID. SHILAP Revista de lepidopterología. 5(1). 1–1. 2 indexed citations
3.
Sedykh, Sergey E., et al.. (2024). Catalase Activity of IgG and κκ-IgG, λλ-IgG, and κλ-IgG Subfractions in HIV-Infected Patients and Healthy Donors. Frontiers in Bioscience-Landmark. 29(5). 191–191.
4.
Nevinsky, Georgy A., et al.. (2024). Autoantibodies-Abzymes with Phosphatase Activity in Experimental Autoimmune Encephalomyelitis Mice. Molecules. 29(6). 1382–1382. 1 indexed citations
5.
Buneva, Valentina N., et al.. (2024). Biochemical, Hematological, Inflammatory, and Gut Permeability Biomarkers in Patients with Alcohol Withdrawal Syndrome with and without Delirium Tremens. Journal of Clinical Medicine. 13(10). 2776–2776. 3 indexed citations
6.
7.
Dmitrenok, Pavel S., et al.. (2023). EAE of Mice: Enzymatic Cross Site-Specific Hydrolysis of H2A Histone by IgGs against H2A, H1, H2B, H3, and H4 Histones and Myelin Basic Protein. International Journal of Molecular Sciences. 24(10). 8636–8636. 1 indexed citations
8.
Sedykh, Sergey E., et al.. (2021). Secretory immunoglobulin A from human milk hydrolyzes 5 histones and myelin basic protein. Journal of Dairy Science. 105(2). 950–964. 1 indexed citations
9.
Ermakov, Evgeny A., et al.. (2020). Secretory immunoglobulin A from human milk hydrolyzes microRNA. Journal of Dairy Science. 103(8). 6782–6797. 9 indexed citations
10.
Ermakov, Evgeny A., et al.. (2020). IgGs from Human Milk Hydrolyze microRNAs. Molecules. 25(10). 2366–2366. 6 indexed citations
11.
Ermakov, Evgeny A., et al.. (2020). Natural Catalytic IgGs Hydrolyzing Histones in Schizophrenia: Are They the Link between Humoral Immunity and Inflammation?. International Journal of Molecular Sciences. 21(19). 7238–7238. 10 indexed citations
12.
Baranova, Svetlana V., et al.. (2019). Antibodies from the Sera of Multiple Sclerosis Patients Efficiently Hydrolyze Five Histones. Biomolecules. 9(11). 741–741. 17 indexed citations
13.
Baranova, Svetlana V., et al.. (2017). Antibodies to H2a and H2b histones from the sera of HIV-infected patients catalyze site-specific degradation of these histones. Molecular BioSystems. 13(6). 1090–1101. 21 indexed citations
14.
Buneva, Valentina N., et al.. (2010). DNA-hydrolyzing activity of IgG antibodies from the sera of patients with tick-borne encephalitis. Biochimie. 92(5). 545–554. 32 indexed citations
15.
Malygin, Alexey A., et al.. (2008). Interactions of human ribosomal protein S3 with intact and damaged DNA. Molecular Biology. 42(2). 277–284. 5 indexed citations
16.
Lesbats, Paul, Mathieu Métifiot, Christina Calmels, et al.. (2008). In vitro initial attachment of HIV-1 integrase to viral ends: control of the DNA specific interaction by the oligomerization state. Nucleic Acids Research. 36(22). 7043–7058. 29 indexed citations
17.
Тузиков, Ф. В., et al.. (2004). Characteristics of Lipids Imbalance in Patients with Tick‐Borne Encephalitis. Nucleosides Nucleotides & Nucleic Acids. 23(6-7). 1003–1007. 1 indexed citations
18.
Dubrovskaya, Viktoriya, М. А. Тихонова, Е. Р. Черных, et al.. (2002). Hematopoietic progenitor colony formation in the immunopathogenesis of the autoimmune disorder in MRL/MpJ-lpr mice.. PubMed. 7(3). 245–50. 3 indexed citations
19.
Bugreev, Dmitry V., Elena Vasyutina, V. A. Ryabinin, et al.. (2001). Inhibition of Human DNA Topoisomerase I by New DNA Minor Groove Ligands: Derivatives of Oligo-1,3-Thiazolecarboxamides. Antisense and Nucleic Acid Drug Development. 11(3). 137–147. 5 indexed citations
20.
Baranovsky, Alexander V., et al.. (1997). DNA- and RNA-hydrolyzing antibodies from the blood of patients with various forms of viral hepatitis. SPIRE - Sciences Po Institutional REpository. 12 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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