Amarendra Pegu
Impact in
- Virology top 0.5%
- HIV Research and Treatment
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
- Virology 23
- HIV Research and Treatment 23
- Immunology 19
- Immune Cell Function and Interaction 15
- T-cell and B-cell Immunology 3
- Co-authors
- John R. Mascola (23 shared papers)Todd A. Reinhart (4 shared papers)Stephen D. Schmidt (7 shared papers)Xuejun Chen (10 shared papers)Nancy L. Haigwood (3 shared papers)Martha Nason (3 shared papers)JoAnne L. Flynn (2 shared papers)Ann J. Hessell (2 shared papers)
- Journals
- Journal of Virology (5 papers)PLoS Pathogens (4 papers)mAbs (3 papers)The Journal of Immunology (3 papers)Nature Communications (2 papers)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Amarendra Pegu
31 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 79
- Virology 857
- Immunology 678
- Infectious Diseases 518
- Radiology, Nuclear Medicine and Imaging 289
- Epidemiology 390
Countries citing papers authored by Amarendra Pegu
This map shows the geographic impact of Amarendra Pegu'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 Amarendra Pegu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amarendra Pegu more than expected).
Fields of papers citing papers by Amarendra Pegu
This network shows the impact of papers produced by Amarendra Pegu. 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 Amarendra Pegu. The network helps show where Amarendra Pegu may publish in the future.
Co-authors
The 25 scholars most cited alongside Amarendra Pegu, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 219 | |
| 2 | 2006 | 178 | |
| 3 | 2014 | 169 | |
| 4 | 2008 | 106 | |
| 5 | 2008 | 90 | |
| 6 | 2017 | 90 | |
| 7 | 2015 | 75 | |
| 8 | 2015 | 71 | |
| 9 | 2015 | 58 | |
| 10 | 2019 | 56 | |
| 11 | 2018 | 43 | |
| 12 | 2017 | 37 | |
| 13 | 2017 | 36 | |
| 14 | 2021 | 34 | |
| 15 | 2019 | 26 | |
| 16 | 2007 | 20 | |
| 17 | 2018 | 19 | |
| 18 | 2018 | 17 | |
| 19 | 2020 | 15 | |
| 20 | 2018 | 15 |
About Amarendra Pegu
Amarendra Pegu is a scholar working on Virology, Immunology, Epidemiology, Radiology, Nuclear Medicine and Imaging and Infectious Diseases, having authored 31 papers that have together received 1.4k indexed citations. Recurring topics across this work include HIV Research and Treatment (23 papers), Immune Cell Function and Interaction (15 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Cytomegalovirus and herpesvirus research (6 papers), Herpesvirus Infections and Treatments (6 papers), HIV/AIDS drug development and treatment (6 papers), Glycosylation and Glycoproteins Research (3 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Virology (857 citations), Immunology (678 citations), Infectious Diseases (518 citations), Radiology, Nuclear Medicine and Imaging (289 citations) and Epidemiology (390 citations). Amarendra Pegu has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include John R. Mascola, Todd A. Reinhart, Stephen D. Schmidt, Xuejun Chen, Nancy L. Haigwood, Martha Nason, JoAnne L. Flynn, Ann J. Hessell, Keyun Wang and Srinivas S. Rao. Their work appears in journals such as Journal of Virology, PLoS Pathogens, mAbs, The Journal of Immunology and Nature Communications.
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.