Debashree Chatterjee
Impact in
- Endocrinology top 2%
- Vibrio bacteria research studies
- Microbiology top 2%
- Bacterial Infections and Vaccines
Papers in
-
- SARS-CoV-2 and COVID-19 Research 6
- COVID-19 Clinical Research Studies 4
- Immunology 10
- Immune Cell Function and Interaction 7
- T-cell and B-cell Immunology 3
- Co-authors
- К. Ray Chaudhuri (3 shared papers)Holger Sondermann (4 shared papers)George A. O’Toole (4 shared papers)Chelsea D. Boyd (3 shared papers)Stewart Shuman (3 shared papers)Peter D. Newell (1 shared paper)M.V.A.S. Navarro (1 shared paper)Petya V. Krasteva (1 shared paper)
- Journals
- Viruses (3 papers)Cell Reports (2 papers)Journal of Bacteriology (2 papers)mBio (2 papers)Nucleic Acids Research (1 paper)
- Partner nations
- United StatesCanadaIndia
In The Last Decade
Debashree Chatterjee
28 papers receiving 889 citations
Peers
Comparison fields: 5 of 100
- Endocrinology 174
- Microbiology 164
- Virology 58
- Infectious Diseases 201
- Molecular Medicine 50
Countries citing papers authored by Debashree Chatterjee
This map shows the geographic impact of Debashree Chatterjee'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 Debashree Chatterjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debashree Chatterjee more than expected).
Fields of papers citing papers by Debashree Chatterjee
This network shows the impact of papers produced by Debashree Chatterjee. 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 Debashree Chatterjee. The network helps show where Debashree Chatterjee may publish in the future.
Co-authors
The 25 scholars most cited alongside Debashree Chatterjee, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 149 | |
| 2 | 2011 | 127 | |
| 3 | 2012 | 78 | |
| 4 | 2016 | 53 | |
| 5 | 2012 | 52 | |
| 6 | 2021 | 47 | |
| 7 | 2012 | 47 | |
| 8 | 2012 | 45 | |
| 9 | 2016 | 45 | |
| 10 | 2014 | 43 | |
| 11 | 2021 | 34 | |
| 12 | 2017 | 27 | |
| 13 | 2021 | 25 | |
| 14 | 2008 | 16 | |
| 15 | 2012 | 14 | |
| 16 | 2010 | 13 | |
| 17 | 2020 | 12 | |
| 18 | 2023 | 11 | |
| 19 | 2021 | 11 | |
| 20 | 2020 | 10 |
About Debashree Chatterjee
Debashree Chatterjee is a scholar working on Infectious Diseases, Immunology, Molecular Biology, Virology and Epidemiology, having authored 30 papers that have together received 897 indexed citations. Recurring topics across this work include HIV Research and Treatment (7 papers), Immune Cell Function and Interaction (7 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Bacterial biofilms and quorum sensing (4 papers), Bacterial Genetics and Biotechnology (4 papers), COVID-19 Clinical Research Studies (4 papers), T-cell and B-cell Immunology (3 papers) and Animal Virus Infections Studies (2 papers). The work is most often cited by research in Endocrinology (174 citations), Microbiology (164 citations), Virology (58 citations), Infectious Diseases (201 citations) and Molecular Medicine (50 citations). Debashree Chatterjee has collaborated with scholars based in United States, Canada and India. Frequent co-authors include К. Ray Chaudhuri, Holger Sondermann, George A. O’Toole, Chelsea D. Boyd, Stewart Shuman, Peter D. Newell, M.V.A.S. Navarro, Petya V. Krasteva, Dean R. Madden and Ana M. Sánchez. Their work appears in journals such as Viruses, Cell Reports, Journal of Bacteriology, mBio and Nucleic Acids Research.
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.