Pao‐Yun Cheng

49 total papers · 1.1k total citations
44 papers, 916 citations indexed

About

Pao‐Yun Cheng is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Pao‐Yun Cheng has authored 44 papers receiving a total of 916 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 15 papers in Physiology and 9 papers in Epidemiology. Recurrent topics in Pao‐Yun Cheng's work include Adipokines, Inflammation, and Metabolic Diseases (8 papers), Adipose Tissue and Metabolism (8 papers) and Heat shock proteins research (5 papers). Pao‐Yun Cheng is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (8 papers), Adipose Tissue and Metabolism (8 papers) and Heat shock proteins research (5 papers). Pao‐Yun Cheng collaborates with scholars based in Taiwan, United States and Japan. Pao‐Yun Cheng's co-authors include Yen‐Mei Lee, Mao‐Hsiung Yen, Kwok‐Keung Lam, Yung-Chieh Tsai, Hsin‐Hsueh Shen, Yi‐Jen Peng, Shuying Chen, Chih‐Hsiung Hsu, Neng‐Lang Shih and Yuansheng Wu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Agricultural and Food Chemistry.

In The Last Decade

Pao‐Yun Cheng

43 papers receiving 897 citations

Author Peers

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

Author Last Decade Papers Cites
Pao‐Yun Cheng 387 258 145 95 86 44 916
Younghoon Go 508 1.3× 341 1.3× 179 1.2× 76 0.8× 109 1.3× 49 1.2k
Tao Song 432 1.1× 304 1.2× 128 0.9× 129 1.4× 67 0.8× 70 1.1k
Pawan Krishan 295 0.8× 219 0.8× 111 0.8× 88 0.9× 123 1.4× 71 1.1k
Chi Dae Kim 303 0.8× 223 0.9× 100 0.7× 101 1.1× 86 1.0× 28 801
Ilenia Cirilli 440 1.1× 180 0.7× 122 0.8× 54 0.6× 57 0.7× 42 968
Wei Wang 460 1.2× 217 0.8× 97 0.7× 175 1.8× 79 0.9× 53 1.2k
Li Lu 617 1.6× 170 0.7× 138 1.0× 78 0.8× 83 1.0× 56 1.1k
Wenpeng Dong 492 1.3× 148 0.6× 108 0.7× 77 0.8× 70 0.8× 33 995
Byung Yong Rhim 421 1.1× 329 1.3× 141 1.0× 104 1.1× 137 1.6× 37 1.2k
Wei-Wen Kuo 504 1.3× 219 0.8× 173 1.2× 72 0.8× 60 0.7× 46 1.1k

Countries citing papers authored by Pao‐Yun Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Pao‐Yun Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pao‐Yun Cheng. 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 Pao‐Yun Cheng. The network helps show where Pao‐Yun Cheng may publish in the future.

Co-authorship network of co-authors of Pao‐Yun Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Pao‐Yun Cheng. A scholar is included among the top collaborators of Pao‐Yun Cheng 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 Pao‐Yun Cheng. Pao‐Yun Cheng 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