Kovalev Gi
Impact in
Papers in
-
- Neuroscience and Neuropharmacology Research 7
- Co-authors
- Lishan Su (20 shared papers)Chad Torrice (2 shared papers)Khalid Al-Regaiey (2 shared papers)Norman E. Sharpless (2 shared papers)Janakiraman Krishnamurthy (2 shared papers)Matthew R. Ramsey (2 shared papers)Liguo Zhang (6 shared papers)Virginia Godfrey (4 shared papers)
- Journals
- Blood (3 papers)The Journal of Immunology (2 papers)PLoS ONE (2 papers)Journal of Clinical Investigation (2 papers)Gastroenterology (1 paper)
- Partner nations
- United StatesGermanyRussia
In The Last Decade
Kovalev Gi
37 papers receiving 2.7k citations
Kovalev Gi's Hit Papers
Peers
Comparison fields: 5 of 112
- Aging 220
- Virology 199
- Immunology 602
- Physiology 712
- Hepatology 190
Countries citing papers authored by Kovalev Gi
This map shows the geographic impact of Kovalev Gi'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 Kovalev Gi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kovalev Gi more than expected).
Fields of papers citing papers by Kovalev Gi
This network shows the impact of papers produced by Kovalev Gi. 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 Kovalev Gi. The network helps show where Kovalev Gi may publish in the future.
Co-authors
The 25 scholars most cited alongside Kovalev Gi, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Ink4a/Arf expression is a biomarker of aging Hit paper breakdown → | 2004 | 1226 |
| 2 | 1998 | 340 | |
| 3 | A Humanized Mouse Model to Study Hepatitis C Virus Infection, Immune Response, and Liver Disease Hit paper breakdown → | 2011 | 234 |
| 4 | 2006 | 126 | |
| 5 | 2003 | 118 | |
| 6 | 2004 | 107 | |
| 7 | 2008 | 90 | |
| 8 | 2020 | 75 | |
| 9 | 2012 | 64 | |
| 10 | 2008 | 50 | |
| 11 | 2001 | 47 | |
| 12 | 2022 | 40 | |
| 13 | 2011 | 39 | |
| 14 | 1999 | 23 | |
| 15 | 2001 | 21 | |
| 16 | 2013 | 20 | |
| 17 | 2018 | 18 | |
| 18 | Efficient infection, activation, and impairment of pDCs in the BM and peripheral lymphoid organs during early HIV-1 infection in humanized rag2(-/-)gamma C-/- mice in vivo | 2011 | 14 |
| 19 | 2023 | 11 | |
| 20 | 2010 | 6 |
About Kovalev Gi
Kovalev Gi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Immunology, Physiology and Virology, having authored 43 papers that have together received 2.7k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (7 papers), Immune Cell Function and Interaction (7 papers), HIV Research and Treatment (6 papers), Diet and metabolism studies (5 papers), Metabolism and Genetic Disorders (5 papers), T-cell and B-cell Immunology (4 papers), Cancer-related Molecular Pathways (4 papers) and Hepatitis C virus research (3 papers). The work is most often cited by research in Aging (220 citations), Virology (199 citations), Immunology (602 citations), Physiology (712 citations) and Hepatology (190 citations). Kovalev Gi has collaborated with scholars based in United States, Germany and Russia. Frequent co-authors include Lishan Su, Chad Torrice, Khalid Al-Regaiey, Norman E. Sharpless, Janakiraman Krishnamurthy, Matthew R. Ramsey, Liguo Zhang, Virginia Godfrey, David S. Franklin and Yue Xiong. Their work appears in journals such as Blood, The Journal of Immunology, PLoS ONE, Journal of Clinical Investigation and Gastroenterology.
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.