Debasis Panda
Impact in
- Infectious Diseases top 5%
- Viral Infections and Vectors
- Viral gastroenteritis research and epidemiology
- Virology top 5%
Papers in
- Genetics 10
- Virus-based gene therapy research 10
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- Viral Infections and Vectors 6
- Viral gastroenteritis research and epidemiology 3
- Co-authors
- Asit K. Pattnaik (10 shared papers)Sara Cherry (8 shared papers)Phat X. Dinh (6 shared papers)Anshuman Das (5 shared papers)Kaycie C. Hopkins (5 shared papers)Debasis Nayak (3 shared papers)Lalit K. Beura (3 shared papers)Ramesh Chandra Patra (2 shared papers)
- Journals
- Journal of Virology (8 papers)Proceedings of the National Academy of Sciences (5 papers)Genes & Development (1 paper)Frontiers in Immunology (1 paper)mBio (1 paper)
- Partner nations
- United StatesIndiaCzechia
In The Last Decade
Debasis Panda
31 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 94
- Infectious Diseases 325
- Virology 79
- Immunology 285
- Animal Science and Zoology 97
- Epidemiology 243
Countries citing papers authored by Debasis Panda
This map shows the geographic impact of Debasis Panda'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 Debasis Panda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debasis Panda more than expected).
Fields of papers citing papers by Debasis Panda
This network shows the impact of papers produced by Debasis Panda. 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 Debasis Panda. The network helps show where Debasis Panda may publish in the future.
Co-authors
The 25 scholars most cited alongside Debasis Panda, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 94 | |
| 2 | 2013 | 83 | |
| 3 | 2011 | 77 | |
| 4 | 2013 | 77 | |
| 5 | 2019 | 76 | |
| 6 | 2008 | 71 | |
| 7 | 2018 | 57 | |
| 8 | 2012 | 55 | |
| 9 | 2013 | 55 | |
| 10 | 2009 | 48 | |
| 11 | 2015 | 48 | |
| 12 | 2015 | 44 | |
| 13 | 2018 | 38 | |
| 14 | 2014 | 38 | |
| 15 | 2012 | 38 | |
| 16 | 2018 | 34 | |
| 17 | 2011 | 33 | |
| 18 | 2017 | 27 | |
| 19 | 2008 | 26 | |
| 20 | 2009 | 21 |
About Debasis Panda
Debasis Panda is a scholar working on Genetics, Infectious Diseases, Epidemiology, Molecular Biology and Animal Science and Zoology, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Virus-based gene therapy research (10 papers), Virology and Viral Diseases (6 papers), Viral Infections and Vectors (6 papers), Animal Virus Infections Studies (5 papers), interferon and immune responses (4 papers), Viral gastroenteritis research and epidemiology (3 papers), Mosquito-borne diseases and control (3 papers) and Vector-Borne Animal Diseases (2 papers). The work is most often cited by research in Infectious Diseases (325 citations), Virology (79 citations), Immunology (285 citations), Animal Science and Zoology (97 citations) and Epidemiology (243 citations). Debasis Panda has collaborated with scholars based in United States, India and Czechia. Frequent co-authors include Asit K. Pattnaik, Sara Cherry, Phat X. Dinh, Anshuman Das, Kaycie C. Hopkins, Debasis Nayak, Lalit K. Beura, Ramesh Chandra Patra, D. Swarup and Subash C. Das. Their work appears in journals such as Journal of Virology, Proceedings of the National Academy of Sciences, Genes & Development, Frontiers in Immunology and mBio.
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.