Devjani Chatterjee
Impact in
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- Viral gastroenteritis research and epidemiology
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- Virus-based gene therapy research
Papers in
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- RNA and protein synthesis mechanisms 3
- Biomedical Text Mining and Ontologies 2
- Machine Learning in Bioinformatics 1
- Co-authors
- Jacob V. Maizel (3 shared papers)Rhonda Bassel‐Duby (1 shared paper)Bernard N. Fields (1 shared paper)Nahum Sonenberg (1 shared paper)Irene T. Weber (1 shared paper)Robert W. Harrison (1 shared paper)Jack London (4 shared papers)Shu‐Yun Le (1 shared paper)
- Journals
- Computer applications in the biosciences (1 paper)Cancer Research (1 paper)Acta Neurologica Scandinavica (1 paper)Proteins Structure Function and Bioinformatics (1 paper)Nature (1 paper)
- Partner nations
- United StatesChinaIndia
In The Last Decade
Devjani Chatterjee
14 papers receiving 319 citations
Peers
Comparison fields: 5 of 79
- Infectious Diseases 91
- Genetics 94
- Virology 12
- Internal Medicine 9
- Cancer Research 32
Countries citing papers authored by Devjani Chatterjee
This map shows the geographic impact of Devjani 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 Devjani Chatterjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devjani Chatterjee more than expected).
Fields of papers citing papers by Devjani Chatterjee
This network shows the impact of papers produced by Devjani 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 Devjani Chatterjee. The network helps show where Devjani Chatterjee may publish in the future.
Co-authors
The 25 scholars most cited alongside Devjani 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 | 1985 | 106 | |
| 2 | 2013 | 51 | |
| 3 | 1995 | 39 | |
| 4 | 2005 | 30 | |
| 5 | 2009 | 25 | |
| 6 | 1989 | 22 | |
| 7 | 2013 | 14 | |
| 8 | 1999 | 13 | |
| 9 | 1988 | 11 | |
| 10 | 2010 | 4 | |
| 11 | 1979 | 3 | |
| 12 | 1996 | 3 | |
| 13 | 1988 | 2 | |
| 14 | 2011 | 2 |
About Devjani Chatterjee
Devjani Chatterjee is a scholar working on Molecular Biology, Infectious Diseases, Pathology and Forensic Medicine, Ecology and Artificial Intelligence, having authored 14 papers that have together received 325 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (3 papers), Bacteriophages and microbial interactions (2 papers), Biomedical Text Mining and Ontologies (2 papers), Multiple Sclerosis Research Studies (2 papers), HIV Research and Treatment (1 paper), Connective tissue disorders research (1 paper), Machine Learning in Bioinformatics (1 paper) and Osteoarthritis Treatment and Mechanisms (1 paper). The work is most often cited by research in Infectious Diseases (91 citations), Genetics (94 citations), Virology (12 citations), Internal Medicine (9 citations) and Cancer Research (32 citations). Devjani Chatterjee has collaborated with scholars based in United States, China and India. Frequent co-authors include Jacob V. Maizel, Rhonda Bassel‐Duby, Bernard N. Fields, Nahum Sonenberg, Irene T. Weber, Robert W. Harrison, Jack London, Shu‐Yun Le, Andrzej K. Konopka and Jih-H. Chen. Their work appears in journals such as Computer applications in the biosciences, Cancer Research, Acta Neurologica Scandinavica, Proteins Structure Function and Bioinformatics 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.