Uma D. Vempati

18 papers and 548 indexed citations i.

About

Uma D. Vempati is a scholar working on Molecular Biology, Computational Theory and Mathematics and Clinical Biochemistry. According to data from OpenAlex, Uma D. Vempati has authored 18 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 7 papers in Computational Theory and Mathematics and 2 papers in Clinical Biochemistry. Recurrent topics in Uma D. Vempati’s work include Computational Drug Discovery Methods (7 papers), Biomedical Text Mining and Ontologies (5 papers) and Bioinformatics and Genomic Networks (5 papers). Uma D. Vempati is often cited by papers focused on Computational Drug Discovery Methods (7 papers), Biomedical Text Mining and Ontologies (5 papers) and Bioinformatics and Genomic Networks (5 papers). Uma D. Vempati collaborates with scholars based in United States, India and United Kingdom. Uma D. Vempati's co-authors include Carlos T. Moraes, Stephan C. Schürer, Vance Lemmon, Robin P. Smith, Ubbo Visser, Xianlin Han, Alessandra Torraco, Francisca Díaz, Kimberly L. Mowry and Mary Lou King and has published in prestigious journals such as Journal of Biological Chemistry, Bioinformatics and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Uma D. Vempati i

Fields of papers citing papers by Uma D. Vempati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Uma D. Vempati

Since Specialization
Citations

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