Sergey Suchkov

987 total citations
48 papers, 600 citations indexed

About

Sergey Suchkov is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Genetics. According to data from OpenAlex, Sergey Suchkov has authored 48 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 16 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Genetics. Recurrent topics in Sergey Suchkov's work include Monoclonal and Polyclonal Antibodies Research (15 papers), Diabetes and associated disorders (7 papers) and Immunotherapy and Immune Responses (5 papers). Sergey Suchkov is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (15 papers), Diabetes and associated disorders (7 papers) and Immunotherapy and Immune Responses (5 papers). Sergey Suchkov collaborates with scholars based in Russia, United States and Japan. Sergey Suchkov's co-authors include Alexander G. Gabibov, Н. А. Пономаренко, Alexey A. Belogurov, Herbert C. Morse, I. N. Kurkova, Alain Friboulet, Daniel Thomas, М А Пальцев, Bérangère Avalle and Lidia P. Sashchenko and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Sergey Suchkov

37 papers receiving 584 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 Suchkov Russia 10 269 254 243 89 72 48 600
Françoise Phan-Dinh-Tuy France 10 95 0.4× 198 0.8× 194 0.8× 81 0.9× 23 0.3× 16 492
Anne-Sophie Govaerts Belgium 17 64 0.2× 172 0.7× 225 0.9× 101 1.1× 38 0.5× 54 708
Amy Dressen United States 10 101 0.4× 247 1.0× 167 0.7× 12 0.1× 34 0.5× 18 673
R. Schwab United States 16 135 0.5× 140 0.6× 737 3.0× 35 0.4× 54 0.8× 21 1.0k
James E. Swierkosz United States 12 190 0.7× 170 0.7× 518 2.1× 83 0.9× 28 0.4× 16 758
K A Brown United Kingdom 14 49 0.2× 146 0.6× 212 0.9× 75 0.8× 66 0.9× 35 572
Martin Diebold Germany 16 45 0.2× 240 0.9× 242 1.0× 200 2.2× 48 0.7× 39 708
T. A. McPherson Canada 15 132 0.5× 265 1.0× 212 0.9× 95 1.1× 16 0.2× 56 623
Andrew Abdulahad United Kingdom 7 117 0.4× 98 0.4× 161 0.7× 72 0.8× 41 0.6× 9 413
Beatrix Pollok‐Kopp Germany 13 215 0.8× 236 0.9× 385 1.6× 14 0.2× 36 0.5× 20 792

Countries citing papers authored by Sergey Suchkov

Since Specialization
Citations

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

Fields of papers citing papers by Sergey Suchkov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sergey Suchkov. 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 Suchkov. The network helps show where Sergey Suchkov may publish in the future.

Co-authorship network of co-authors of Sergey Suchkov

This figure shows the co-authorship network connecting the top 25 collaborators of Sergey Suchkov. A scholar is included among the top collaborators of Sergey Suchkov 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 Suchkov. Sergey Suchkov 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
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Ревишвили, А. Ш., et al.. (2023). Analysis of monocyte subpopulations with cardiovascular, burn and other pathologies (2010 classification). Meditsinskiy sovet = Medical Council. 154–163.
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Hendrikx, Marc, et al.. (2020). How to Stimulate Myocardial Regeneration in Adult Mammalian Heart: Existing Views and New Approaches. BioMed Research International. 2020(1). 7874109–7874109. 10 indexed citations
6.
Suchkov, Sergey, Abner Louis Notkins, & Trevor G Marshall. (2018). Personalized & translational medicine as a tandem of the new philosophy, updated mentality and technological platforms. Meta Gene. 17. S1–S2.
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Suchkov, Sergey, et al.. (2018). Antibody-proteases as highly informative biomarkers and efficient targets of the newest generation. Meta Gene. 17. S18–S19. 1 indexed citations
8.
Golubnitschaja, Olga, Hiroyuki Abe, Harry W. Schroeder, et al.. (2014). PPPM (Predictive, Preventive and Personalized Medicine) as a New Model of the National and International Healthcare Services and Thus a Promising Strategy to Prevent a Disease: From Basics to Practice. International Journal of Clinical Medicine. 5(14). 855–870. 8 indexed citations
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Suchkov, Sergey, et al.. (2014). ADVANCES AND PERSPECTIVES OF CLINICAL ABZYMOLOGY. Medical Immunology (Russia). 8(1). 23–23.
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Duncan, Melinda K., et al.. (2013). β1 integrin as the integrating component in cell-cell cooperation for maintenance of lens transparency. Doklady Biochemistry and Biophysics. 453(1). 297–299. 3 indexed citations
11.
Suchkov, Sergey, et al.. (2013). PROTEOMICS AS A FUNDAMENTAL TOOL FOR SUBCLINICAL SCREENING, TESTS VERIFICATION AND ASSESSMENT OF APPLIED THERAPY. Annals of the Russian academy of medical sciences. 68(1). 65–71. 9 indexed citations
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Kostyushev, Dmitry, Shimon Slavin, Mariia Bocharova, et al.. (2012). Introduction into PPPM as a new paradigm of public health service: an integrative view. The EPMA Journal. 3(1). 16–16. 20 indexed citations
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Matsuura, Eiji, Kazuko Kobayashi, Nanhu Quan, et al.. (2009). Autoimmunity, Infectious Immunity, and Atherosclerosis. Journal of Clinical Immunology. 29(6). 714–721. 33 indexed citations
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Shogenov, Zaur, et al.. (2007). Postinfectious immunodeficiency and autoimmunity: pathogenic and clinical values and implications. Expert Review of Clinical Immunology. 3(3). 323–331. 2 indexed citations
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Пономаренко, Н. А., I. I. Vorobiev, Alexey A. Belogurov, et al.. (2005). Catalytic activity of autoantibodies toward myelin basic protein correlates with the scores on the multiple sclerosis expanded disability status scale. Immunology Letters. 103(1). 45–50. 38 indexed citations
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Kozyr, A. V., Lidia P. Sashchenko, A. V. Kolesnikov, et al.. (2002). Anti-DNA autoantibodies reveal toxicity to tumor cell lines. Immunology Letters. 80(1). 41–47. 39 indexed citations
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Sashchenko, Lidia P., С. В. Хайдуков, A. V. Kozyr, et al.. (2001). Caspase-Dependent Cytotoxicity of Anti-DNA Autoantibodies. Doklady Biochemistry and Biophysics. 380(1-6). 313–315. 5 indexed citations
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Suchkov, Sergey. (2001). Comparative Study of Catalytic (DNA-Hydrolyzing) and Cytotoxic Properties of Anti-DNA Autoantibodies. Bulletin of Experimental Biology and Medicine. 131(4). 353–355. 4 indexed citations
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Suchkov, Sergey. (2001). Mechanisms Underlying Cytotoxicity of Anti-DNA Antibodies. Bulletin of Experimental Biology and Medicine. 131(5). 475–478. 2 indexed citations
20.
Kozyr, A. V., A. V. Kolesnikov, Lidia P. Sashchenko, et al.. (1998). Novel functional activities of anti-dna autoantibodies from sera of patients with lymphoproliferative and autoimmune diseases. Applied Biochemistry and Biotechnology. 75(1). 45–61. 97 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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