Padma Nair

16 papers and 364 indexed citations i.

About

Padma Nair is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Padma Nair has authored 16 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cellular and Molecular Neuroscience, 9 papers in Molecular Biology and 4 papers in Organic Chemistry. Recurrent topics in Padma Nair’s work include Neuropeptides and Animal Physiology (11 papers), Receptor Mechanisms and Signaling (8 papers) and Chemical Synthesis and Analysis (7 papers). Padma Nair is often cited by papers focused on Neuropeptides and Animal Physiology (11 papers), Receptor Mechanisms and Signaling (8 papers) and Chemical Synthesis and Analysis (7 papers). Padma Nair collaborates with scholars based in United States, India and Japan. Padma Nair's co-authors include Takashi Yamamoto, Victor J. Hruby, Josephine Lai, Shou-wu Ma, Peg Davis, Frank Porreca, Henry I. Yamamura, Todd W. Vanderah, Edita Navratilova and Nigam P. Rath and has published in prestigious journals such as Journal of Medicinal Chemistry, British Journal of Pharmacology and Tetrahedron Letters.

In The Last Decade

Co-authorship network of co-authors of Padma Nair i

Fields of papers citing papers by Padma Nair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Padma Nair

Since Specialization
Citations

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