Uma Sinha-Datta
Impact in
- Agronomy and Crop Science top 5%
- Animal Disease Management and Epidemiology
- Immunology top 10%
- T-cell and Retrovirus Studies
Papers in
- Immunology 10
- T-cell and Retrovirus Studies 9
- Biosimilars and Bioanalytical Methods 1
-
- Vector-Borne Animal Diseases 7
- Co-authors
- Christophe Nicot (9 shared papers)Abhik Datta (4 shared papers)Megan Brown (3 shared papers)Marcia Bellon (3 shared papers)Sofiane Ghorbel (2 shared papers)Ali Bazarbachi (1 shared paper)Yves Lepelletier (1 shared paper)Thomas A. Waldmann (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Blood (3 papers)APOPTOSIS (1 paper)Retrovirology (1 paper)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- United StatesIndiaLebanon
In The Last Decade
Uma Sinha-Datta
11 papers receiving 436 citations
Peers
Comparison fields: 5 of 53
- Agronomy and Crop Science 207
- Immunology 310
- Ecology, Evolution, Behavior and Systematics 206
- Physiology 77
- Molecular Biology 130
Countries citing papers authored by Uma Sinha-Datta
This map shows the geographic impact of Uma Sinha-Datta'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 Uma Sinha-Datta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uma Sinha-Datta more than expected).
Fields of papers citing papers by Uma Sinha-Datta
This network shows the impact of papers produced by Uma Sinha-Datta. 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 Uma Sinha-Datta. The network helps show where Uma Sinha-Datta may publish in the future.
Co-authors
The 25 scholars most cited alongside Uma Sinha-Datta, 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 | 2006 | 111 | |
| 2 | 2004 | 103 | |
| 3 | 2006 | 54 | |
| 4 | 2007 | 41 | |
| 5 | 2011 | 41 | |
| 6 | 2006 | 31 | |
| 7 | 2007 | 21 | |
| 8 | 2012 | 16 | |
| 9 | 2005 | 15 | |
| 10 | 2015 | 4 | |
| 11 | 2011 | 3 |
About Uma Sinha-Datta
Uma Sinha-Datta is a scholar working on Immunology, Ecology, Evolution, Behavior and Systematics, Agronomy and Crop Science, Molecular Biology and Genetics, having authored 11 papers that have together received 440 indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (9 papers), Vector-Borne Animal Diseases (7 papers), Animal Disease Management and Epidemiology (6 papers), Virus-based gene therapy research (2 papers), Biosimilars and Bioanalytical Methods (1 paper), Protein purification and stability (1 paper), Animal Virus Infections Studies (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). The work is most often cited by research in Agronomy and Crop Science (207 citations), Immunology (310 citations), Ecology, Evolution, Behavior and Systematics (206 citations), Physiology (77 citations) and Molecular Biology (130 citations). Uma Sinha-Datta has collaborated with scholars based in United States, India and Lebanon. Frequent co-authors include Christophe Nicot, Abhik Datta, Megan Brown, Marcia Bellon, Sofiane Ghorbel, Ali Bazarbachi, Yves Lepelletier, Thomas A. Waldmann, Olivier Hermine and Shilpa Buch. Their work appears in journals such as Journal of Biological Chemistry, Blood, APOPTOSIS, Retrovirology and Biochemical and Biophysical Research Communications.
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.