Sachin Kumar
Impact in
- Animal Science and Zoology top 0.5%
- Animal Virus Infections Studies
- Agronomy and Crop Science top 2%
- Animal Disease Management and Epidemiology
Papers in
- Epidemiology 74
- Virology and Viral Diseases 54
-
- Animal Virus Infections Studies 50
- Co-authors
- Siba K. Samal (18 shared papers)Ketan A. Ganar (4 shared papers)Moushumee Das (5 shared papers)Sudhir Morla (15 shared papers)Peter L. Collins (13 shared papers)Anandan Paldurai (9 shared papers)Parameswar Krishnan Iyer (8 shared papers)Baibaswata Nayak (7 shared papers)
- Journals
- Virus Research (12 papers)ACS Applied Bio Materials (6 papers)Vaccine (6 papers)Microbial Pathogenesis (5 papers)Acta Tropica (5 papers)
- Partner nations
- IndiaUnited StatesSaudi Arabia
In The Last Decade
Sachin Kumar
183 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 136
- Animal Science and Zoology 796
- Agronomy and Crop Science 410
- Epidemiology 1.3k
- Microbiology 229
- Infectious Diseases 644
Countries citing papers authored by Sachin Kumar
This map shows the geographic impact of Sachin Kumar'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 Sachin Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sachin Kumar more than expected).
Fields of papers citing papers by Sachin Kumar
This network shows the impact of papers produced by Sachin Kumar. 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 Sachin Kumar. The network helps show where Sachin Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Sachin Kumar, 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 201 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 292 | |
| 2 | 2018 | 113 | |
| 3 | 2016 | 82 | |
| 4 | 2018 | 77 | |
| 5 | 2009 | 62 | |
| 6 | 2021 | 59 | |
| 7 | 2013 | 57 | |
| 8 | 2009 | 56 | |
| 9 | 2015 | 52 | |
| 10 | 2011 | 46 | |
| 11 | 2008 | 45 | |
| 12 | 2020 | 44 | |
| 13 | 2014 | 44 | |
| 14 | 2019 | 44 | |
| 15 | 2020 | 41 | |
| 16 | 2020 | 39 | |
| 17 | 2018 | 38 | |
| 18 | 2008 | 38 | |
| 19 | 2018 | 38 | |
| 20 | 2010 | 35 |
About Sachin Kumar
Sachin Kumar is a scholar working on Epidemiology, Animal Science and Zoology, Molecular Biology, Infectious Diseases and Agronomy and Crop Science, having authored 201 papers that have together received 2.9k indexed citations. Recurring topics across this work include Virology and Viral Diseases (54 papers), Animal Virus Infections Studies (50 papers), Animal Disease Management and Epidemiology (26 papers), Viral Infections and Immunology Research (17 papers), Mosquito-borne diseases and control (14 papers), Virus-based gene therapy research (14 papers), Alzheimer's disease research and treatments (13 papers) and Viral Infections and Vectors (13 papers). The work is most often cited by research in Animal Science and Zoology (796 citations), Agronomy and Crop Science (410 citations), Epidemiology (1.3k citations), Microbiology (229 citations) and Infectious Diseases (644 citations). Sachin Kumar has collaborated with scholars based in India, United States and Saudi Arabia. Frequent co-authors include Siba K. Samal, Ketan A. Ganar, Moushumee Das, Sudhir Morla, Peter L. Collins, Anandan Paldurai, Parameswar Krishnan Iyer, Baibaswata Nayak, Vishnu Kumar and Niranjan Meher. Their work appears in journals such as Virus Research, ACS Applied Bio Materials, Vaccine, Microbial Pathogenesis and Acta Tropica.
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.