Urmila Rawat

13 papers and 972 indexed citations i.

About

Urmila Rawat is a scholar working on Molecular Biology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Urmila Rawat has authored 13 papers receiving a total of 972 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Surgery and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Urmila Rawat’s work include Pancreatic Islet Dysfunction and Regeneration (4 papers), RNA and protein synthesis mechanisms (4 papers) and RNA modifications and cancer (4 papers). Urmila Rawat is often cited by papers focused on Pancreatic Islet Dysfunction and Regeneration (4 papers), RNA and protein synthesis mechanisms (4 papers) and RNA modifications and cancer (4 papers). Urmila Rawat collaborates with scholars based in India, United States and Sweden. Urmila Rawat's co-authors include Måns Ehrenberg, Joachim Frank, Andrey V. Zavialov, Mikel Valle, Jayati Sengupta, Mala Rao, Bente Vestergaard, Robert A. Grassucci, Richard Gursky and Haixiao Gao and has published in prestigious journals such as Nature, Cell and Journal of Biological Chemistry.

In The Last Decade

Co-authorship network of co-authors of Urmila Rawat i

Fields of papers citing papers by Urmila Rawat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Urmila Rawat

Since Specialization
Citations

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