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
-
- 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)Olivier Hermine (1 shared paper)Thomas A. Waldmann (1 shared paper)Yves Lepelletier (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Blood (3 papers)Journal of Virology (1 paper)APOPTOSIS (1 paper)Retrovirology (1 paper)
- Partner nations
- United StatesFranceIndia
In The Last Decade
Uma Sinha-Datta
11 papers receiving 451 citations
Peers
Comparison fields: 5 of 53
- Agronomy and Crop Science 189
- Immunology 309
- Ecology, Evolution, Behavior and Systematics 182
- Physiology 80
- Molecular Biology 123
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 | 116 | |
| 2 | 2004 | 108 | |
| 3 | 2006 | 54 | |
| 4 | 2011 | 42 | |
| 5 | 2007 | 41 | |
| 6 | 2006 | 32 | |
| 7 | 2007 | 22 | |
| 8 | 2012 | 18 | |
| 9 | 2005 | 16 | |
| 10 | 2015 | 5 | |
| 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 457 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), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Protein purification and stability (1 paper), Nuclear Receptors and Signaling (1 paper) and Telomeres, Telomerase, and Senescence (1 paper). The work is most often cited by research in Agronomy and Crop Science (189 citations), Immunology (309 citations), Ecology, Evolution, Behavior and Systematics (182 citations), Physiology (80 citations) and Molecular Biology (123 citations). Uma Sinha-Datta has collaborated with scholars based in United States, France and India. Frequent co-authors include Christophe Nicot, Abhik Datta, Megan Brown, Marcia Bellon, Sofiane Ghorbel, Olivier Hermine, Thomas A. Waldmann, Yves Lepelletier, Ali Bazarbachi and Mirdad Kazanji. Their work appears in journals such as Journal of Biological Chemistry, Blood, Journal of Virology, APOPTOSIS and Retrovirology.
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.