В. М. Писарев

115 total papers · 3.0k total citations
73 papers, 2.3k citations indexed

About

В. М. Писарев is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, В. М. Писарев has authored 73 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Immunology, 26 papers in Molecular Biology and 16 papers in Epidemiology. Recurrent topics in В. М. Писарев's work include Immunotherapy and Immune Responses (15 papers), Immune Cell Function and Interaction (11 papers) and Immune Response and Inflammation (9 papers). В. М. Писарев is often cited by papers focused on Immunotherapy and Immune Responses (15 papers), Immune Cell Function and Interaction (11 papers) and Immune Response and Inflammation (9 papers). В. М. Писарев collaborates with scholars based in Russia, United States and Germany. В. М. Писарев's co-authors include Simon Sherman, Dmitry I. Gabrilovich, Leo Kinarsky, Srinivas Nagaraj, Kapil Gupta, Loveleen Kang, Jonathan P. Schneck, Donna L. Herber, R. Lee Mosley and James E. Talmadge and has published in prestigious journals such as Journal of Clinical Investigation, Nature Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

В. М. Писарев

65 papers receiving 2.3k citations

Hit Papers

Altered recognition of an... 2007 2026 2013 2019 2007 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
В. М. Писарев 1.4k 714 670 250 216 73 2.3k
Robert H. Swanborg 1.7k 1.2× 460 0.6× 618 0.9× 287 1.1× 113 0.5× 87 2.7k
Мikhail Pashenkov 975 0.7× 316 0.4× 384 0.6× 245 1.0× 171 0.8× 70 1.8k
Denise Fitzgerald 1.7k 1.2× 420 0.6× 542 0.8× 589 2.4× 149 0.7× 47 2.8k
Mitsugu Fujita 1.3k 0.9× 995 1.4× 1.2k 1.7× 229 0.9× 152 0.7× 114 3.2k
Yoshihiro Fujimori 804 0.6× 428 0.6× 1.1k 1.6× 362 1.4× 156 0.7× 99 3.1k
Anders Etzerodt 1.1k 0.8× 502 0.7× 780 1.2× 181 0.7× 162 0.8× 46 2.6k
Gabriella Palmieri 1.3k 0.9× 464 0.6× 363 0.5× 181 0.7× 67 0.3× 73 1.9k
Hiroko Nakatsukasa 1.5k 1.1× 511 0.7× 660 1.0× 336 1.3× 59 0.3× 37 2.6k
Shinji Oki 1.2k 0.8× 232 0.3× 598 0.9× 124 0.5× 107 0.5× 49 2.0k
Brian R. Lawson 1.7k 1.2× 756 1.1× 916 1.4× 186 0.7× 51 0.2× 54 3.1k

Countries citing papers authored by В. М. Писарев

Since Specialization
Citations

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

Fields of papers citing papers by В. М. Писарев

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by В. М. Писарев. 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 В. М. Писарев. The network helps show where В. М. Писарев may publish in the future.

Co-authorship network of co-authors of В. М. Писарев

This figure shows the co-authorship network connecting the top 25 collaborators of В. М. Писарев. A scholar is included among the top collaborators of В. М. Писарев 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 В. М. Писарев. В. М. Писарев is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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