Uma Gaur

48 papers and 1.5k indexed citations i.

About

Uma Gaur is a scholar working on Molecular Biology, Aging and Genetics. According to data from OpenAlex, Uma Gaur has authored 48 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 11 papers in Aging and 9 papers in Genetics. Recurrent topics in Uma Gaur’s work include Genetics, Aging, and Longevity in Model Organisms (11 papers), Invertebrate Immune Response Mechanisms (5 papers) and Livestock and Poultry Management (4 papers). Uma Gaur is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (11 papers), Invertebrate Immune Response Mechanisms (5 papers) and Livestock and Poultry Management (4 papers). Uma Gaur collaborates with scholars based in China, Macao and Australia. Uma Gaur's co-authors include Mingyao Yang, Wenhua Zheng, Haitao Wang, Jiangping Xu, Peter J. Little, Diyan Li, Mohd Farhan, Xiaolan Fan, Nan Wu and Yongfang Yao and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

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

Fields of papers citing papers by Uma Gaur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Uma Gaur

Since Specialization
Citations

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