Fai Tang

44 papers and 1.1k indexed citations i.

About

Fai Tang is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Fai Tang has authored 44 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Cellular and Molecular Neuroscience, 24 papers in Molecular Biology and 11 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Fai Tang’s work include Neuropeptides and Animal Physiology (37 papers), Receptor Mechanisms and Signaling (23 papers) and Neuroendocrine regulation and behavior (10 papers). Fai Tang is often cited by papers focused on Neuropeptides and Animal Physiology (37 papers), Receptor Mechanisms and Signaling (23 papers) and Neuroendocrine regulation and behavior (10 papers). Fai Tang collaborates with scholars based in Hong Kong, Australia and China. Fai Tang's co-authors include O Wai‐Sum, Bernard M.Y. Cheung, Victoria Gonzales, Donald L. Price, Guilian Xu, Alena Savonenko, Alicja L. Markowska, Tatiana Melnikova, David Borchelt and Shiu Fun Pang and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Endocrinology.

In The Last Decade

Co-authorship network of co-authors of Fai Tang i

Fields of papers citing papers by Fai Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fai Tang

Since Specialization
Citations

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