San‐Pin Wu

58 papers and 2.1k indexed citations i.

About

San‐Pin Wu is a scholar working on Immunology, Molecular Biology and Genetics. According to data from OpenAlex, San‐Pin Wu has authored 58 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Immunology, 27 papers in Molecular Biology and 22 papers in Genetics. Recurrent topics in San‐Pin Wu’s work include Reproductive System and Pregnancy (34 papers), Endometriosis Research and Treatment (19 papers) and Estrogen and related hormone effects (19 papers). San‐Pin Wu is often cited by papers focused on Reproductive System and Pregnancy (34 papers), Endometriosis Research and Treatment (19 papers) and Estrogen and related hormone effects (19 papers). San‐Pin Wu collaborates with scholars based in United States, Taiwan and China. San‐Pin Wu's co-authors include Francesco J. DeMayo, Mark W. Majesky, Sophia Y. Tsai, Ming‐Jer Tsai, John P. Lydon, Tianyuan Wang, Jun Qin, Colin T. Maguire, Xiu Rong Dong and Rainer B. Lanz and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Co-authorship network of co-authors of San‐Pin Wu i

Fields of papers citing papers by San‐Pin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by San‐Pin Wu. 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 San‐Pin Wu. The network helps show where San‐Pin Wu may publish in the future.

Countries citing papers authored by San‐Pin Wu

Since Specialization
Citations

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