Uma Sekar

52 papers and 1.0k indexed citations i.

About

Uma Sekar is a scholar working on Molecular Medicine, Endocrinology and Molecular Biology. According to data from OpenAlex, Uma Sekar has authored 52 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Medicine, 16 papers in Endocrinology and 15 papers in Molecular Biology. Recurrent topics in Uma Sekar’s work include Antibiotic Resistance in Bacteria (30 papers), Bacterial biofilms and quorum sensing (14 papers) and Vibrio bacteria research studies (10 papers). Uma Sekar is often cited by papers focused on Antibiotic Resistance in Bacteria (30 papers), Bacterial biofilms and quorum sensing (14 papers) and Vibrio bacteria research studies (10 papers). Uma Sekar collaborates with scholars based in India, United States and France. Uma Sekar's co-authors include Shanthi Mariappan, B Sekar, Amudhan Murugesan, Jayshree Nellore, Rama Vaidyanathan, Venil N. Sumantran, Arun Kumar, Mark A. Toleman, Timothy R. Walsh and Sangeeta Joshi and has published in prestigious journals such as Antimicrobial Agents and Chemotherapy, Frontiers in Microbiology and ACS Omega.

In The Last Decade

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

Fields of papers citing papers by Uma Sekar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Uma Sekar

Since Specialization
Citations

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