Uma Sinha-Datta

10 papers and 427 indexed citations i.

About

Uma Sinha-Datta is a scholar working on Immunology, Ecology, Evolution, Behavior and Systematics and Agronomy and Crop Science. According to data from OpenAlex, Uma Sinha-Datta has authored 10 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 7 papers in Ecology, Evolution, Behavior and Systematics and 6 papers in Agronomy and Crop Science. Recurrent topics in Uma Sinha-Datta’s work include T-cell and Retrovirus Studies (9 papers), Vector-Borne Animal Diseases (7 papers) and Animal Disease Management and Epidemiology (6 papers). Uma Sinha-Datta is often cited by papers focused on T-cell and Retrovirus Studies (9 papers), Vector-Borne Animal Diseases (7 papers) and Animal Disease Management and Epidemiology (6 papers). Uma Sinha-Datta collaborates with scholars based in United States, France and Burundi. Uma Sinha-Datta's co-authors include Christophe Nicot, Abhik Datta, Megan Brown, Marcia Bellon, Sofiane Ghorbel, Thomas A. Waldmann, Yves Lepelletier, Ali Bazarbachi, Olivier Hermine and J. Carl Barrett and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Journal of Virology.

In The Last Decade

Co-authorship network of co-authors of Uma Sinha-Datta i

Fields of papers citing papers by Uma Sinha-Datta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Uma Sinha-Datta

Since Specialization
Citations

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).

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.

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