Amrita Kumar
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Virology top 5%
Papers in
-
- Artificial Intelligence in Healthcare and Education 10
- Epidemiology 21
- Influenza Virus Research Studies 20
- Co-authors
- Andrew Scott Neish (9 shared papers)Brian E. Ellis (3 shared papers)Suryaprakash R. Sambhara (19 shared papers)Matam Vijay–Kumar (3 shared papers)Andrew T. Gewirtz (4 shared papers)Lauren S. Collier-Hyams (3 shared papers)Huixia Wu (2 shared papers)Jason M. Hansen (3 shared papers)
- Journals
- Journal of Virology (7 papers)Scientific Reports (4 papers)Journal of Bacteriology (4 papers)Materials Science and Engineering C (2 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesUnited KingdomIreland
In The Last Decade
Amrita Kumar
73 papers receiving 2.9k citations
Amrita Kumar's Hit Papers
Peers
Comparison fields: 5 of 125
- Health Informatics 161
- Virology 136
- Immunology 410
- Polymers and Plastics 260
- Molecular Biology 877
Countries citing papers authored by Amrita Kumar
This map shows the geographic impact of Amrita 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 Amrita Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amrita Kumar more than expected).
Fields of papers citing papers by Amrita Kumar
This network shows the impact of papers produced by Amrita 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 Amrita Kumar. The network helps show where Amrita Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Amrita 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 372 | |
| 2 | 2007 | 237 | |
| 3 | 2011 | 147 | |
| 4 | 2017 | 131 | |
| 5 | 2001 | 126 | |
| 6 | Antiviral Approaches against Influenza Virus Hit paper breakdown → | 2023 | 109 |
| 7 | 2009 | 107 | |
| 8 | 2008 | 106 | |
| 9 | 2013 | 84 | |
| 10 | 2017 | 73 | |
| 11 | 2014 | 70 | |
| 12 | 2003 | 64 | |
| 13 | 2011 | 60 | |
| 14 | 2011 | 56 | |
| 15 | 2016 | 56 | |
| 16 | 2008 | 52 | |
| 17 | 2009 | 51 | |
| 18 | 2014 | 50 | |
| 19 | 2016 | 50 | |
| 20 | 2014 | 48 |
About Amrita Kumar
Amrita Kumar is a scholar working on Health Informatics, Epidemiology, Polymers and Plastics, Virology and Immunology, having authored 76 papers that have together received 3k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (20 papers), Artificial Intelligence in Healthcare and Education (10 papers), Conducting polymers and applications (6 papers), Gut microbiota and health (4 papers), Bacterial Genetics and Biotechnology (4 papers), interferon and immune responses (3 papers), Poxvirus research and outbreaks (3 papers) and Plant Gene Expression Analysis (3 papers). The work is most often cited by research in Health Informatics (161 citations), Virology (136 citations), Immunology (410 citations), Polymers and Plastics (260 citations) and Molecular Biology (877 citations). Amrita Kumar has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include Andrew Scott Neish, Brian E. Ellis, Suryaprakash R. Sambhara, Matam Vijay–Kumar, Andrew T. Gewirtz, Lauren S. Collier-Hyams, Huixia Wu, Jason M. Hansen, Shizuo Akira and Satoshi Uematsu. Their work appears in journals such as Journal of Virology, Scientific Reports, Journal of Bacteriology, Materials Science and Engineering C and PLoS ONE.
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.