Mamta Chawla‐Sarkar
- Infectious Diseases top 0.5%
- Molecular Biology top 5%
- Immunology top 2%
- Epidemiology top 5%
- Cardiology and Cardiovascular Medicine top 2%
- Co-authors
- Ernest C. BordenDouglas W. LeamanAnupam MukherjeeBarbara JacobsShiladitya ChattopadhyayNobumichi KobayashiParikshit BagchiRahul Bhowmick
- Topics
- Viral gastroenteritis research and epidemiology (80 papers)Animal Virus Infections Studies (37 papers)Viral Infections and Immunology Research (36 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- IndiaJapanUnited States
In The Last Decade
Mamta Chawla‐Sarkar
129 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Infectious Diseases 1.9k
- Molecular Biology 1.6k
- Immunology 1.1k
- Epidemiology 920
- Cardiology and Cardiovascular Medicine 893
Countries citing papers authored by Mamta Chawla‐Sarkar
This map shows the geographic impact of Mamta Chawla‐Sarkar'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 Mamta Chawla‐Sarkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mamta Chawla‐Sarkar more than expected).
Fields of papers citing papers by Mamta Chawla‐Sarkar
This network shows the impact of papers produced by Mamta Chawla‐Sarkar. 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 Mamta Chawla‐Sarkar. The network helps show where Mamta Chawla‐Sarkar may publish in the future.
Co-authorship network of co-authors of Mamta Chawla‐Sarkar
This figure shows the co-authorship network connecting the top 25 collaborators of Mamta Chawla‐Sarkar. A scholar is included among the top collaborators of Mamta Chawla‐Sarkar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mamta Chawla‐Sarkar. Mamta Chawla‐Sarkar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 10 | |
| 7 | 16 | |
| 8 | 21 | |
| 9 | 87 | |
| 10 | 18 | |
| 11 | Antiviral drug profile of human influenza A & B viruses circulating in India: 2004-2011 | 7 |
| 12 | 4 | |
| 13 | 25 | |
| 14 | 5 | |
| 15 | 56 | |
| 16 | 23 | |
| 17 | 16 | |
| 18 | 51 | |
| 19 | 105 | |
| 20 | 21 |
About Mamta Chawla‐Sarkar
Mamta Chawla‐Sarkar is a scholar working on Infectious Diseases, Animal Science and Zoology and Hepatology, having authored 131 papers that have together received 4.7k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (80 papers), Animal Virus Infections Studies (37 papers) and Viral Infections and Immunology Research (36 papers). The work is most often cited by research in Infectious Diseases (1.9k citations), Animal Science and Zoology (725 citations) and Immunology (1.1k citations). Mamta Chawla‐Sarkar has collaborated with scholars based in India, Japan and United States. Frequent co-authors include Ernest C. Borden, Douglas W. Leaman, Anupam Mukherjee, Barbara Jacobs, Shiladitya Chattopadhyay, Nobumichi Kobayashi, Parikshit Bagchi, Rahul Bhowmick, Mukti Kant Nayak and Daniel J. Lindner. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.