Pooja Vir
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- Tuberculosis Research and Epidemiology
- Immunology top 10%
- Immunotherapy and Immune Responses
Papers in
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- vaccines and immunoinformatics approaches 3
- Cancer-related gene regulation 2
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- Tuberculosis Research and Epidemiology 6
- Co-authors
- Gajendra P. S. Raghava (4 shared papers)Sandeep Kumar Dhanda (3 shared papers)Sudheer Gupta (2 shared papers)Indu Verma (3 shared papers)Yuri Bushkin (4 shared papers)Maria Laura Gennaro (5 shared papers)Alfred Lardizabal (5 shared papers)Riccardo Arrigucci (4 shared papers)
- Journals
- Blood (3 papers)PLoS ONE (2 papers)Frontiers in Immunology (2 papers)Apmis (1 paper)Blood Purification (1 paper)
- Partner nations
- United StatesIndiaBelgium
In The Last Decade
Pooja Vir
20 papers receiving 1.1k citations
Pooja Vir's Hit Papers
Peers
Comparison fields: 5 of 73
- Infectious Diseases 292
- Immunology 292
- Molecular Biology 966
- Radiology, Nuclear Medicine and Imaging 283
- Biotechnology 94
Countries citing papers authored by Pooja Vir
This map shows the geographic impact of Pooja Vir'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 Pooja Vir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pooja Vir more than expected).
Fields of papers citing papers by Pooja Vir
This network shows the impact of papers produced by Pooja Vir. 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 Pooja Vir. The network helps show where Pooja Vir may publish in the future.
Co-authors
The 25 scholars most cited alongside Pooja Vir, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Designing of interferon-gamma inducing MHC class-II binders Hit paper breakdown → | 2013 | 620 |
| 2 | 2013 | 281 | |
| 3 | 2017 | 72 | |
| 4 | 2014 | 34 | |
| 5 | 2018 | 25 | |
| 6 | 2016 | 17 | |
| 7 | 2014 | 15 | |
| 8 | 2013 | 14 | |
| 9 | 2012 | 8 | |
| 10 | 2022 | 7 | |
| 11 | 2015 | 7 | |
| 12 | 2024 | 5 | |
| 13 | 2007 | 5 | |
| 14 | 2019 | 3 | |
| 15 | 2017 | 2 | |
| 16 | 2023 | 2 | |
| 17 | 2019 | 1 | |
| 18 | 2018 | 1 | |
| 19 | 2019 | 1 | |
| 20 | 2015 | 1 |
About Pooja Vir
Pooja Vir is a scholar working on Molecular Biology, Infectious Diseases, Hematology, Epidemiology and Immunology, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hemophilia Treatment and Research (6 papers), Tuberculosis Research and Epidemiology (6 papers), Mycobacterium research and diagnosis (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Platelet Disorders and Treatments (3 papers), vaccines and immunoinformatics approaches (3 papers), Cancer-related gene regulation (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Infectious Diseases (292 citations), Immunology (292 citations), Molecular Biology (966 citations), Radiology, Nuclear Medicine and Imaging (283 citations) and Biotechnology (94 citations). Pooja Vir has collaborated with scholars based in United States, India and Belgium. Frequent co-authors include Gajendra P. S. Raghava, Sandeep Kumar Dhanda, Sudheer Gupta, Indu Verma, Yuri Bushkin, Maria Laura Gennaro, Alfred Lardizabal, Riccardo Arrigucci, Sanjay Tyagi and Dheeraj Gupta. Their work appears in journals such as Blood, PLoS ONE, Frontiers in Immunology, Apmis and Blood Purification.
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.