Bithi Chatterjee
Impact in
- Immunology top 1%
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Psoriasis: Treatment and Pathogenesis
- Microbiology top 1%
- Antimicrobial Peptides and Activities
Papers in
- Immunology 13
- Immune Cell Function and Interaction 10
- Immunotherapy and Immune Responses 6
- T-cell and B-cell Immunology 5
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- Lymphoma Diagnosis and Treatment 5
- Co-authors
- Ira Mellman (5 shared papers)Roberto Lande (1 shared paper)Yui-Hsi Wang (1 shared paper)Valeria Facchinetti (1 shared paper)Yi-Hong Wang (1 shared paper)Jens‐Michael Schröder (1 shared paper)Michel Gilliet (1 shared paper)Wei Cao (1 shared paper)
- Journals
- PLoS Pathogens (3 papers)Blood (2 papers)European Journal of Immunology (2 papers)Eukaryotic Cell (1 paper)Nature (1 paper)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Bithi Chatterjee
15 papers receiving 2.5k citations
Bithi Chatterjee's Hit Papers
Peers
Comparison fields: 5 of 85
- Immunology 1.9k
- Microbiology 318
- Dermatology 332
- Oncology 414
- Rheumatology 173
Countries citing papers authored by Bithi Chatterjee
This map shows the geographic impact of Bithi 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 Bithi Chatterjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bithi Chatterjee more than expected).
Fields of papers citing papers by Bithi Chatterjee
This network shows the impact of papers produced by Bithi 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 Bithi Chatterjee. The network helps show where Bithi Chatterjee may publish in the future.
Co-authors
The 25 scholars most cited alongside Bithi 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 | Plasmacytoid dendritic cells sense self-DNA coupled with antimicrobial peptide Hit paper breakdown → | 2007 | 1518 |
| 2 | 2008 | 230 | |
| 3 | 2013 | 163 | |
| 4 | 2012 | 160 | |
| 5 | 2020 | 81 | |
| 6 | 2012 | 72 | |
| 7 | 2005 | 68 | |
| 8 | 2019 | 60 | |
| 9 | 2014 | 59 | |
| 10 | 2004 | 53 | |
| 11 | 2013 | 40 | |
| 12 | 2021 | 32 | |
| 13 | 2014 | 27 | |
| 14 | 2015 | 23 | |
| 15 | 2024 | 9 | |
| 16 | 2026 | 0 |
About Bithi Chatterjee
Bithi Chatterjee is a scholar working on Immunology, Pathology and Forensic Medicine, Oncology, Epidemiology and Molecular Biology, having authored 16 papers that have together received 2.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), Immunotherapy and Immune Responses (6 papers), T-cell and B-cell Immunology (5 papers), Lymphoma Diagnosis and Treatment (5 papers), Viral-associated cancers and disorders (5 papers), Trypanosoma species research and implications (1 paper), Toxoplasma gondii Research Studies (1 paper) and Wound Healing and Treatments (1 paper). The work is most often cited by research in Immunology (1.9k citations), Microbiology (318 citations), Dermatology (332 citations), Oncology (414 citations) and Rheumatology (173 citations). Bithi Chatterjee has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Ira Mellman, Roberto Lande, Yui-Hsi Wang, Valeria Facchinetti, Yi-Hong Wang, Jens‐Michael Schröder, Michel Gilliet, Wei Cao, Tomasz Żal and Josh Gregorio. Their work appears in journals such as PLoS Pathogens, Blood, European Journal of Immunology, Eukaryotic Cell and Nature.
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.