Amrita Kumar
Impact in
- Health Informatics top 1%
- Virology top 5%
Papers in
- Immunology 21
- Immune Response and Inflammation 9
- interferon and immune responses 8
- Immune Cell Function and Interaction 7
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- Artificial Intelligence in Healthcare and Education 8
- Co-authors
- Andrew Scott Neish (9 shared papers)Brian E. Ellis (3 shared papers)Matam Vijay–Kumar (3 shared papers)Andrew T. Gewirtz (4 shared papers)Suryaprakash R. Sambhara (19 shared papers)Gregory Allen Sotzing (7 shared papers)Huixia Wu (2 shared papers)Lauren S. Collier-Hyams (3 shared papers)
- Journals
- Journal of Virology (7 papers)Journal of Bacteriology (4 papers)Scientific Reports (4 papers)Materials Science and Engineering C (2 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Amrita Kumar
74 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 138
- Health Informatics 129
- Virology 143
- Immunology 620
- Polymers and Plastics 339
- Infectious Diseases 324
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 | 374 | |
| 2 | 2007 | 236 | |
| 3 | 2011 | 147 | |
| 4 | 2017 | 130 | |
| 5 | 2001 | 126 | |
| 6 | 2008 | 107 | |
| 7 | 2009 | 107 | |
| 8 | 2005 | 104 | |
| 9 | 2023 | 104 | |
| 10 | 2013 | 83 | |
| 11 | 2017 | 73 | |
| 12 | 2014 | 71 | |
| 13 | 2003 | 64 | |
| 14 | 2011 | 60 | |
| 15 | 2011 | 56 | |
| 16 | 2016 | 55 | |
| 17 | 2008 | 52 | |
| 18 | 2009 | 51 | |
| 19 | 2014 | 50 | |
| 20 | 2016 | 49 |
About Amrita Kumar
Amrita Kumar is a scholar working on Immunology, Health Informatics, Epidemiology, Polymers and Plastics and Virology, having authored 76 papers that have together received 3.0k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (19 papers), Immune Response and Inflammation (9 papers), Transition Metal Oxide Nanomaterials (8 papers), Conducting polymers and applications (8 papers), Artificial Intelligence in Healthcare and Education (8 papers), interferon and immune responses (8 papers), Immune Cell Function and Interaction (7 papers) and Respiratory viral infections research (6 papers). The work is most often cited by research in Health Informatics (129 citations), Virology (143 citations), Immunology (620 citations), Polymers and Plastics (339 citations) and Infectious Diseases (324 citations). Amrita Kumar has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Andrew Scott Neish, Brian E. Ellis, Matam Vijay–Kumar, Andrew T. Gewirtz, Suryaprakash R. Sambhara, Gregory Allen Sotzing, Huixia Wu, Lauren S. Collier-Hyams, Jason M. Hansen and Shizuo Akira. Their work appears in journals such as Journal of Virology, Journal of Bacteriology, Scientific Reports, 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.