Sumita Chakrabarti

30 papers and 1.1k indexed citations i.

About

Sumita Chakrabarti is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Sumita Chakrabarti has authored 30 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cellular and Molecular Neuroscience, 25 papers in Molecular Biology and 13 papers in Physiology. Recurrent topics in Sumita Chakrabarti’s work include Neuropeptides and Animal Physiology (26 papers), Receptor Mechanisms and Signaling (19 papers) and Pain Mechanisms and Treatments (12 papers). Sumita Chakrabarti is often cited by papers focused on Neuropeptides and Animal Physiology (26 papers), Receptor Mechanisms and Signaling (19 papers) and Pain Mechanisms and Treatments (12 papers). Sumita Chakrabarti collaborates with scholars based in United States, Germany and India. Sumita Chakrabarti's co-authors include Alan R. Gintzler, Ping‐Yee Law, Nai‐Jiang Liu, Horace H. Loh, Horace H. Loh, Wei‐Jen Tang, Annette L. Regec, Lin Wang, Martin Oppermann and Paul L. Prather and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Brain Research.

In The Last Decade

Co-authorship network of co-authors of Sumita Chakrabarti i

Fields of papers citing papers by Sumita Chakrabarti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sumita Chakrabarti

Since Specialization
Citations

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