Pin‐Chi Tang

103 total papers · 1.5k total citations
70 papers, 1.1k citations indexed

About

Pin‐Chi Tang is a scholar working on Molecular Biology, Genetics and Animal Science and Zoology. According to data from OpenAlex, Pin‐Chi Tang has authored 70 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 23 papers in Genetics and 20 papers in Animal Science and Zoology. Recurrent topics in Pin‐Chi Tang's work include Reproductive Biology and Fertility (18 papers), Sperm and Testicular Function (12 papers) and Animal Nutrition and Physiology (10 papers). Pin‐Chi Tang is often cited by papers focused on Reproductive Biology and Fertility (18 papers), Sperm and Testicular Function (12 papers) and Animal Nutrition and Physiology (10 papers). Pin‐Chi Tang collaborates with scholars based in Taiwan, Thailand and United States. Pin‐Chi Tang's co-authors include Chih‐Feng Chen, Yen‐Pai Lee, San‐Yuan Huang, Cheng‐Ming Chuong, Jyh-Cherng Ju, Chun-Ting Lin, Jung‐Kai Tseng, Chih-Feng Chen, Shuen‐Ei Chen and Yow‐Ling Shiue and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Journal of Molecular Biology.

In The Last Decade

Pin‐Chi Tang

65 papers receiving 1.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Pin‐Chi Tang 399 334 247 165 149 70 1.1k
Andrea Verini Supplizi 357 0.9× 294 0.9× 325 1.3× 173 1.0× 138 0.9× 56 1.2k
Yunlei Li 380 1.0× 371 1.1× 342 1.4× 203 1.2× 218 1.5× 94 1.3k
Hehe Liu 632 1.6× 407 1.2× 446 1.8× 75 0.5× 77 0.5× 185 1.5k
Pengjia Bao 553 1.4× 190 0.6× 524 2.1× 77 0.5× 45 0.3× 164 1.3k
Zhengxing Lian 605 1.5× 59 0.2× 323 1.3× 150 0.9× 131 0.9× 82 1.3k
Elisabeth Jonas 378 0.9× 269 0.8× 715 2.9× 43 0.3× 55 0.4× 47 1.3k
Scott L. Pratt 633 1.6× 165 0.5× 433 1.8× 117 0.7× 218 1.5× 64 1.4k
E.M. PANTELOURIS 354 0.9× 92 0.3× 220 0.9× 76 0.5× 114 0.8× 61 1.4k
Chunnian Liang 532 1.3× 182 0.5× 560 2.3× 54 0.3× 50 0.3× 145 1.2k
E. Redondo 160 0.4× 107 0.3× 143 0.6× 144 0.9× 372 2.5× 89 1.1k

Countries citing papers authored by Pin‐Chi Tang

Since Specialization
Citations

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

Fields of papers citing papers by Pin‐Chi Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pin‐Chi Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Pin‐Chi Tang. A scholar is included among the top collaborators of Pin‐Chi Tang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pin‐Chi Tang. Pin‐Chi Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026