Pi-Yun Chang

9 total papers · 559 total citations
8 papers, 451 citations indexed

About

Pi-Yun Chang is a scholar working on Molecular Biology, Physiology and Surgery. According to data from OpenAlex, Pi-Yun Chang has authored 8 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Physiology and 2 papers in Surgery. Recurrent topics in Pi-Yun Chang's work include Metabolism, Diabetes, and Cancer (3 papers), Adipose Tissue and Metabolism (3 papers) and Pancreatic function and diabetes (2 papers). Pi-Yun Chang is often cited by papers focused on Metabolism, Diabetes, and Cancer (3 papers), Adipose Tissue and Metabolism (3 papers) and Pancreatic function and diabetes (2 papers). Pi-Yun Chang collaborates with scholars based in United States, Taiwan and France. Pi-Yun Chang's co-authors include David E. Moller, Laurie J. Goodyear, Scott D. Dufresne, Y. Le Marchand‐Brustel, Heike Benecke, Jørgen Jensen, Daryl K. Granner, Richard L. Printz, John L. Ivy and Lynn Cheatham and has published in prestigious journals such as Journal of Biological Chemistry, Endocrinology and American Journal of Physiology-Endocrinology and Metabolism.

In The Last Decade

Pi-Yun Chang

8 papers receiving 444 citations

Author Peers

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

Author Last Decade Papers Cites
Pi-Yun Chang 296 184 135 69 68 8 451
Reza Halse 262 0.9× 147 0.8× 79 0.6× 53 0.8× 37 0.5× 10 413
Kim Cheng 192 0.6× 110 0.6× 141 1.0× 53 0.8× 91 1.3× 12 498
Ann-Marie Richard 254 0.9× 246 1.3× 169 1.3× 63 0.9× 42 0.6× 11 534
Carlo M. Malabanan 248 0.8× 235 1.3× 110 0.8× 68 1.0× 25 0.4× 10 435
Nicholas A. Ryan 157 0.5× 189 1.0× 109 0.8× 71 1.0× 34 0.5× 9 467
Samuel B. Sereda 286 1.0× 262 1.4× 184 1.4× 44 0.6× 54 0.8× 6 482
Amy Knapp 159 0.5× 196 1.1× 42 0.3× 51 0.7× 62 0.9× 10 442
Gabriela Moreira 291 1.0× 224 1.2× 88 0.7× 61 0.9× 23 0.3× 12 543
Xiao-Xia Han 278 0.9× 246 1.3× 53 0.4× 104 1.5× 63 0.9× 10 500
Uxía Gurriarán‐Rodríguez 341 1.2× 226 1.2× 104 0.8× 45 0.7× 32 0.5× 14 507

Countries citing papers authored by Pi-Yun Chang

Since Specialization
Citations

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

Fields of papers citing papers by Pi-Yun Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pi-Yun Chang. 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 Pi-Yun Chang. The network helps show where Pi-Yun Chang may publish in the future.

Co-authorship network of co-authors of Pi-Yun Chang

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