Sergei Gulnik
- Molecular Biology top 10%
- Infectious Diseases top 1%
- Virology top 0.5%
- Computational Theory and Mathematics top 2%
- Public Health, Environmental and Occupational Health top 5%
- Co-authors
- John W. EricksonTalapady N. BhatBetty YuEric T. BaldwinHiroaki MitsuyaElena GustchinaJack CollinsLeonid I. Suvorov
- Topics
- HIV/AIDS drug development and treatment (25 papers)HIV Research and Treatment (17 papers)Pneumocystis jirovecii pneumonia detection and treatment (6 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Molecular Biology
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Sergei Gulnik
48 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 96
- Molecular Biology 1.1k
- Infectious Diseases 1.1k
- Virology 1.0k
- Computational Theory and Mathematics 336
- Public Health, Environmental and Occupational Health 324
Countries citing papers authored by Sergei Gulnik
This map shows the geographic impact of Sergei Gulnik'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 Sergei Gulnik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergei Gulnik more than expected).
Fields of papers citing papers by Sergei Gulnik
This network shows the impact of papers produced by Sergei Gulnik. 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 Sergei Gulnik. The network helps show where Sergei Gulnik may publish in the future.
Co-authorship network of co-authors of Sergei Gulnik
This figure shows the co-authorship network connecting the top 25 collaborators of Sergei Gulnik. A scholar is included among the top collaborators of Sergei Gulnik 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 Sergei Gulnik. Sergei Gulnik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 36 | |
| 3 | 2 | |
| 4 | 12 | |
| 5 | 65 | |
| 6 | 305 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 46 | |
| 10 | 44 | |
| 11 | 95 | |
| 12 | 1 | |
| 13 | 42 | |
| 14 | 36 | |
| 15 | 31 | |
| 16 | 6 | |
| 17 | 6 | |
| 18 | 127 | |
| 19 | 6 | |
| 20 | 6 |
About Sergei Gulnik
Sergei Gulnik is a scholar working on Virology, Infectious Diseases and Molecular Biology, having authored 49 papers that have together received 2.5k indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (25 papers), HIV Research and Treatment (17 papers) and Pneumocystis jirovecii pneumonia detection and treatment (6 papers). The work is most often cited by research in Virology (1.0k citations), Infectious Diseases (1.1k citations) and Computational Theory and Mathematics (336 citations). Sergei Gulnik has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include John W. Erickson, Talapady N. Bhat, Betty Yu, Eric T. Baldwin, Hiroaki Mitsuya, Elena Gustchina, Jack Collins, Leonid I. Suvorov, Angela Lee and Dong Xie. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Molecular Biology.
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.