Uma Kanga

62 papers and 640 indexed citations i.

About

Uma Kanga is a scholar working on Immunology, Genetics and Hematology. According to data from OpenAlex, Uma Kanga has authored 62 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Immunology, 13 papers in Genetics and 9 papers in Hematology. Recurrent topics in Uma Kanga’s work include T-cell and B-cell Immunology (40 papers), Immune Cell Function and Interaction (35 papers) and Immunotherapy and Immune Responses (22 papers). Uma Kanga is often cited by papers focused on T-cell and B-cell Immunology (40 papers), Immune Cell Function and Interaction (35 papers) and Immunotherapy and Immune Responses (22 papers). Uma Kanga collaborates with scholars based in India, Japan and Australia. Uma Kanga's co-authors include Narinder K. Mehra, Gurvinder Kaur, Carlos López‐Larrea, Nikhil Tandon, Orlando Domı́nguez, Eliécer Coto, P Chiewsilp, Fernando Setién, Severino González-Roces and Neeraj Kumar and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Virology and Annals of the New York Academy of Sciences.

In The Last Decade

Co-authorship network of co-authors of Uma Kanga i

Fields of papers citing papers by Uma Kanga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Uma Kanga. 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 Kanga. The network helps show where Uma Kanga may publish in the future.

Countries citing papers authored by Uma Kanga

Since Specialization
Citations

This map shows the geographic impact of Uma Kanga'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 Kanga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uma Kanga 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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2025