Deepyan Chatterjee
Impact in
- Immunology top 10%
- Immune cells in cancer
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Phagocytosis and Immune Regulation
- Virology top 10%
Papers in
-
- Immunotherapy and Immune Responses 3
- Complement system in diseases 2
- T-cell and B-cell Immunology 2
-
- vaccines and immunoinformatics approaches 3
- Co-authors
- Javed N. Agrewala (6 shared papers)Nargis Khan (2 shared papers)Manoj Kumar Tewari (2 shared papers)Tapan Agnihotri (2 shared papers)Aurobind Vidyarthi (2 shared papers)Shikha Negi (3 shared papers)Sanpreet Singh (2 shared papers)Mohammad Aqdas (2 shared papers)
- Journals
- Frontiers in Immunology (2 papers)Scientific Reports (1 paper)Journal of Proteome Research (1 paper)Cell Host & Microbe (1 paper)Cell Reports (1 paper)
- Partner nations
- IndiaAustraliaUnited States
In The Last Decade
Deepyan Chatterjee
11 papers receiving 424 citations
Peers
Comparison fields: 5 of 74
- Immunology 273
- Virology 33
- Genetics 49
- Neurology 23
- Oncology 68
Countries citing papers authored by Deepyan Chatterjee
This map shows the geographic impact of Deepyan 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 Deepyan Chatterjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepyan Chatterjee more than expected).
Fields of papers citing papers by Deepyan Chatterjee
This network shows the impact of papers produced by Deepyan 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 Deepyan Chatterjee. The network helps show where Deepyan Chatterjee may publish in the future.
Co-authors
The 25 scholars most cited alongside Deepyan 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
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 126 | |
| 2 | 2019 | 108 | |
| 3 | 2020 | 74 | |
| 4 | 2017 | 24 | |
| 5 | 2017 | 23 | |
| 6 | 1984 | 22 | |
| 7 | 2021 | 21 | |
| 8 | 2021 | 14 | |
| 9 | 2024 | 10 | |
| 10 | 2020 | 4 | |
| 11 | 2019 | 2 |
About Deepyan Chatterjee
Deepyan Chatterjee is a scholar working on Immunology, Molecular Biology, Public Health, Environmental and Occupational Health, Virology and Oncology, having authored 11 papers that have together received 428 indexed citations. Recurring topics across this work include Malaria Research and Control (3 papers), Immunotherapy and Immune Responses (3 papers), vaccines and immunoinformatics approaches (3 papers), Mosquito-borne diseases and control (3 papers), HIV Research and Treatment (2 papers), Complement system in diseases (2 papers), T-cell and B-cell Immunology (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Immunology (273 citations), Virology (33 citations), Genetics (49 citations), Neurology (23 citations) and Oncology (68 citations). Deepyan Chatterjee has collaborated with scholars based in India, Australia and United States. Frequent co-authors include Javed N. Agrewala, Nargis Khan, Manoj Kumar Tewari, Tapan Agnihotri, Aurobind Vidyarthi, Shikha Negi, Sanpreet Singh, Mohammad Aqdas, Ian A. Cockburn and Bishan Radotra. Their work appears in journals such as Frontiers in Immunology, Scientific Reports, Journal of Proteome Research, Cell Host & Microbe and Cell Reports.
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.