Uma Kavita

19 papers and 1.2k indexed citations i.

About

Uma Kavita is a scholar working on Immunology, Epidemiology and Molecular Biology. According to data from OpenAlex, Uma Kavita has authored 19 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Immunology, 10 papers in Epidemiology and 6 papers in Molecular Biology. Recurrent topics in Uma Kavita’s work include Influenza Virus Research Studies (7 papers), Immune Response and Inflammation (7 papers) and Respiratory viral infections research (7 papers). Uma Kavita is often cited by papers focused on Influenza Virus Research Studies (7 papers), Immune Response and Inflammation (7 papers) and Respiratory viral infections research (7 papers). Uma Kavita collaborates with scholars based in United States, Sweden and Denmark. Uma Kavita's co-authors include Lynda Tussey, Alan Shaw, David N. Taylor, Casey Johnson, Albert Bendelac, Se‐Ho Park, Jessica H. Roark, Michele Shannon, Steven B. Mizel and Richard Rupp and has published in prestigious journals such as Journal of Biological Chemistry, Blood and The Journal of Immunology.

In The Last Decade

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

Fields of papers citing papers by Uma Kavita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Uma Kavita

Since Specialization
Citations

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