Tin-Chun Chu

35 papers and 540 indexed citations i.

About

Tin-Chun Chu is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Epidemiology. According to data from OpenAlex, Tin-Chun Chu has authored 35 papers receiving a total of 540 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pathology and Forensic Medicine, 9 papers in Molecular Biology and 6 papers in Epidemiology. Recurrent topics in Tin-Chun Chu’s work include Tea Polyphenols and Effects (8 papers), Salivary Gland Disorders and Functions (4 papers) and Herpesvirus Infections and Treatments (4 papers). Tin-Chun Chu is often cited by papers focused on Tea Polyphenols and Effects (8 papers), Salivary Gland Disorders and Functions (4 papers) and Herpesvirus Infections and Treatments (4 papers). Tin-Chun Chu collaborates with scholars based in United States, China and Japan. Tin-Chun Chu's co-authors include Lee H. Lee, Aline Pereira de Oliveira, Sulie L. Chang, Jessica Cottrell, Stephen Hsu, Douglas Dickinson, Sean R. Murray, Chih‐Yu Lo, Shrameeta Shinde and Quinn Vega and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Life Sciences.

In The Last Decade

Co-authorship network of co-authors of Tin-Chun Chu i

Fields of papers citing papers by Tin-Chun Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tin-Chun Chu. 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 Tin-Chun Chu. The network helps show where Tin-Chun Chu may publish in the future.

Countries citing papers authored by Tin-Chun Chu

Since Specialization
Citations

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