Rashmi Rawat

23 papers and 1.4k indexed citations i.

About

Rashmi Rawat is a scholar working on Molecular Biology, Epidemiology and Oncology. According to data from OpenAlex, Rashmi Rawat has authored 23 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 4 papers in Epidemiology and 4 papers in Oncology. Recurrent topics in Rashmi Rawat’s work include Muscle Physiology and Disorders (10 papers), Inflammatory Myopathies and Dermatomyositis (4 papers) and Cytokine Signaling Pathways and Interactions (3 papers). Rashmi Rawat is often cited by papers focused on Muscle Physiology and Disorders (10 papers), Inflammatory Myopathies and Dermatomyositis (4 papers) and Cytokine Signaling Pathways and Interactions (3 papers). Rashmi Rawat collaborates with scholars based in United States, India and Sweden. Rashmi Rawat's co-authors include Kanneboyina Nagaraju, Eric P. Hoffman, Paul H. Plötz, Marina Bakay, Rongye Shi, Nina Raben, Rachana Thapliyal, Antony Rosen, Ingrid E. Lundberg and Beryl Ampong and has published in prestigious journals such as Blood, The Journal of Immunology and PLoS ONE.

In The Last Decade

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

Fields of papers citing papers by Rashmi Rawat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Rashmi Rawat

Since Specialization
Citations

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