Peter V. Lidsky
Impact in
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- Viral Infections and Immunology Research
- Biophysics top 10%
Papers in
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- Nuclear Structure and Function 3
- RNA Research and Splicing 2
- Genetics 8
- Virus-based gene therapy research 4
- Evolution and Genetic Dynamics 3
- Co-authors
- Vadim I. Agol (6 shared papers)Frank J. M. van Kuppeveld (4 shared papers)Eugene V. Sheval (4 shared papers)Konstantin A. Lukyanov (3 shared papers)V. Yu. Polyakov (2 shared papers)Raul Andino (9 shared papers)Christian F. Lehner (3 shared papers)George A. Belov (2 shared papers)
- Journals
- Journal of Virology (5 papers)PLoS Pathogens (2 papers)Nature Communications (1 paper)Nature Microbiology (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesRussiaSwitzerland
In The Last Decade
Peter V. Lidsky
21 papers receiving 553 citations
Peers
Comparison fields: 5 of 76
- Cardiology and Cardiovascular Medicine 191
- Biophysics 42
- Infectious Diseases 121
- Animal Science and Zoology 64
- Molecular Biology 309
Countries citing papers authored by Peter V. Lidsky
This map shows the geographic impact of Peter V. Lidsky'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 Peter V. Lidsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter V. Lidsky more than expected).
Fields of papers citing papers by Peter V. Lidsky
This network shows the impact of papers produced by Peter V. Lidsky. 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 Peter V. Lidsky. The network helps show where Peter V. Lidsky may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter V. Lidsky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 95 | |
| 2 | 2006 | 91 | |
| 3 | 2009 | 54 | |
| 4 | 2015 | 54 | |
| 5 | 2009 | 37 | |
| 6 | 2021 | 30 | |
| 7 | 2004 | 28 | |
| 8 | 2018 | 27 | |
| 9 | 2013 | 26 | |
| 10 | 2014 | 25 | |
| 11 | 2018 | 22 | |
| 12 | 2023 | 16 | |
| 13 | 2020 | 9 | |
| 14 | 2022 | 8 | |
| 15 | 2022 | 7 | |
| 16 | 2022 | 7 | |
| 17 | 2009 | 7 | |
| 18 | 2017 | 6 | |
| 19 | 2024 | 5 | |
| 20 | 2025 | 1 |
About Peter V. Lidsky
Peter V. Lidsky is a scholar working on Molecular Biology, Genetics, Cardiology and Cardiovascular Medicine, Infectious Diseases and Aging, having authored 21 papers that have together received 556 indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (7 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Virus-based gene therapy research (4 papers), Viral gastroenteritis research and epidemiology (3 papers), Evolution and Genetic Dynamics (3 papers), Nuclear Structure and Function (3 papers), RNA Research and Splicing (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (191 citations), Biophysics (42 citations), Infectious Diseases (121 citations), Animal Science and Zoology (64 citations) and Molecular Biology (309 citations). Peter V. Lidsky has collaborated with scholars based in United States, Russia and Switzerland. Frequent co-authors include Vadim I. Agol, Frank J. M. van Kuppeveld, Eugene V. Sheval, Konstantin A. Lukyanov, V. Yu. Polyakov, Raul Andino, Christian F. Lehner, George A. Belov, Denise Egger and Kurt Bienz. Their work appears in journals such as Journal of Virology, PLoS Pathogens, Nature Communications, Nature Microbiology and PLoS ONE.
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.