V. R. Kogan

37 total papers · 732 total citations
15 papers, 462 citations indexed

About

V. R. Kogan is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Computational Mechanics. According to data from OpenAlex, V. R. Kogan has authored 15 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Atomic and Molecular Physics, and Optics and 3 papers in Computational Mechanics. Recurrent topics in V. R. Kogan's work include Quantum chaos and dynamical systems (2 papers), Quantum and electron transport phenomena (2 papers) and Advanced Mathematical Modeling in Engineering (2 papers). V. R. Kogan is often cited by papers focused on Quantum chaos and dynamical systems (2 papers), Quantum and electron transport phenomena (2 papers) and Advanced Mathematical Modeling in Engineering (2 papers). V. R. Kogan collaborates with scholars based in Russia, United States and Israel. V. R. Kogan's co-authors include Andrei V. Gudkov, Marina P. Antoch, Taketo Taguchi, Matthew Simon, Marco De Cecco, Michael Van Meter, Raul S. González, Stephen L. Helfand, Julia Ablaeva and Katerina I. Leonova and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical review. B, Condensed matter and PLoS ONE.

In The Last Decade

V. R. Kogan

14 papers receiving 454 citations

Hit Papers

LINE1 Derepression in Age... 2019 2026 2021 2023 2019 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
V. R. Kogan 271 101 98 91 78 15 462
Eui Seung Lee 314 1.2× 72 0.7× 86 0.9× 21 0.2× 124 1.6× 12 531
Jin‐Na Min 423 1.6× 43 0.4× 17 0.2× 161 1.8× 67 0.9× 11 520
Anne E. Dodson 461 1.7× 20 0.2× 71 0.7× 28 0.3× 116 1.5× 16 534
Ulrike Gausmann 254 0.9× 113 1.1× 16 0.2× 40 0.4× 27 0.3× 13 482
Y. Liu 272 1.0× 18 0.2× 137 1.4× 50 0.5× 15 0.2× 17 527
Subramaniam Ponnappan 176 0.6× 136 1.3× 12 0.1× 54 0.6× 27 0.3× 13 428
Deborah J. Frank 298 1.1× 31 0.3× 27 0.3× 27 0.3× 46 0.6× 15 430
Matthias Ziehm 209 0.8× 52 0.5× 11 0.1× 73 0.8× 198 2.5× 19 533
Natalie Romanov 404 1.5× 26 0.3× 29 0.3× 40 0.4× 28 0.4× 19 544
Elisa Coluzzi 219 0.8× 10 0.1× 27 0.3× 229 2.5× 57 0.7× 14 500

Countries citing papers authored by V. R. Kogan

Since Specialization
Citations

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

Fields of papers citing papers by V. R. Kogan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V. R. Kogan. 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 V. R. Kogan. The network helps show where V. R. Kogan may publish in the future.

Co-authorship network of co-authors of V. R. Kogan

This figure shows the co-authorship network connecting the top 25 collaborators of V. R. Kogan. A scholar is included among the top collaborators of V. R. Kogan 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 V. R. Kogan. V. R. Kogan 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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