Mei Tang

20 papers and 605 indexed citations i.

About

Mei Tang is a scholar working on Oncology, Genetics and Surgery. According to data from OpenAlex, Mei Tang has authored 20 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 6 papers in Genetics and 4 papers in Surgery. Recurrent topics in Mei Tang’s work include Cancer Risks and Factors (4 papers), Estrogen and related hormone effects (4 papers) and Acute Ischemic Stroke Management (3 papers). Mei Tang is often cited by papers focused on Cancer Risks and Factors (4 papers), Estrogen and related hormone effects (4 papers) and Acute Ischemic Stroke Management (3 papers). Mei Tang collaborates with scholars based in United States, China and Japan. Mei Tang's co-authors include Kathleen E. Malone, Peggy L. Porter, Christopher I. Li, Noel S. Weiss, Janet R. Daling, Janet R. Daling, Elisabeth F. Beaber, Yuanqing Lu, Sihong Song and Clive Wasserfall and has published in prestigious journals such as JAMA, Journal of Clinical Oncology and Cancer Research.

In The Last Decade

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

Fields of papers citing papers by Mei Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mei Tang

Since Specialization
Citations

This map shows the geographic impact of Mei 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 Mei Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei 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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2025