U.S. Kumta

50 papers and 592 indexed citations i.

About

U.S. Kumta is a scholar working on Cell Biology, Molecular Biology and Physiology. According to data from OpenAlex, U.S. Kumta has authored 50 papers receiving a total of 592 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cell Biology, 14 papers in Molecular Biology and 9 papers in Physiology. Recurrent topics in U.S. Kumta’s work include Muscle metabolism and nutrition (8 papers), Meat and Animal Product Quality (8 papers) and Hemoglobin structure and function (6 papers). U.S. Kumta is often cited by papers focused on Muscle metabolism and nutrition (8 papers), Meat and Animal Product Quality (8 papers) and Hemoglobin structure and function (6 papers). U.S. Kumta collaborates with scholars based in India and United States. U.S. Kumta's co-authors include Al L. Tappel, A.E. Harper, P.L. Sawant, S. Shibko, Alfred E. Harper, C.A. Elvehjem, A. Sreenivasan, V. Venugopal, Brij Bhushan and T. V. Ramakrishnan and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Journal of Agricultural and Food Chemistry.

In The Last Decade

Co-authorship network of co-authors of U.S. Kumta i

Fields of papers citing papers by U.S. Kumta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by U.S. Kumta. 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 U.S. Kumta. The network helps show where U.S. Kumta may publish in the future.

Countries citing papers authored by U.S. Kumta

Since Specialization
Citations

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