Po-Yen Wu

30 total papers · 1.3k total citations
23 papers, 552 citations indexed

About

Po-Yen Wu is a scholar working on Molecular Biology, Cancer Research and Health Information Management. According to data from OpenAlex, Po-Yen Wu has authored 23 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 8 papers in Cancer Research and 3 papers in Health Information Management. Recurrent topics in Po-Yen Wu's work include Genomics and Phylogenetic Studies (12 papers), Molecular Biology Techniques and Applications (10 papers) and RNA modifications and cancer (7 papers). Po-Yen Wu is often cited by papers focused on Genomics and Phylogenetic Studies (12 papers), Molecular Biology Techniques and Applications (10 papers) and RNA modifications and cancer (7 papers). Po-Yen Wu collaborates with scholars based in United States, China and British Virgin Islands. Po-Yen Wu's co-authors include May D. Wang, Chih‐Wen Cheng, Chanchala Kaddi, John H. Phan, Ryan Hoffman, Janani Venugopalan, Konstantia Zarkogianni, Vikas Jain, Eleni Litsa and Raghu Chandramohan and has published in prestigious journals such as Nature Biotechnology, IEEE Transactions on Biomedical Engineering and BMC Bioinformatics.

In The Last Decade

Po-Yen Wu

22 papers receiving 531 citations

Author Peers

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

Author Last Decade Papers Cites
Po-Yen Wu 246 106 95 88 50 23 552
Chanchala Kaddi 174 0.7× 100 0.9× 95 1.0× 32 0.4× 41 0.8× 33 541
Gamage Upeksha Ganegoda 161 0.7× 100 0.9× 61 0.6× 59 0.7× 14 0.3× 43 483
Hojin Moon 156 0.6× 193 1.8× 19 0.2× 71 0.8× 16 0.3× 34 601
Safdar Ali 184 0.7× 150 1.4× 38 0.4× 26 0.3× 24 0.5× 37 607
Swaleha Zubair 131 0.5× 89 0.8× 61 0.6× 25 0.3× 19 0.4× 24 595
Wolfgang Kuchinke 197 0.8× 100 0.9× 177 1.9× 14 0.2× 27 0.5× 35 579
Ming‐Chin Lin 80 0.3× 108 1.0× 59 0.6× 18 0.2× 20 0.4× 47 605
Lingyun Liu 241 1.0× 69 0.7× 77 0.8× 174 2.0× 21 0.4× 31 543
Min Wu 141 0.6× 101 1.0× 90 0.9× 44 0.5× 8 0.2× 23 494
Juxiang Yuan 58 0.2× 40 0.4× 36 0.4× 20 0.2× 28 0.6× 34 454

Countries citing papers authored by Po-Yen Wu

Since Specialization
Citations

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

Fields of papers citing papers by Po-Yen Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Po-Yen 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 Po-Yen Wu. The network helps show where Po-Yen Wu may publish in the future.

Co-authorship network of co-authors of Po-Yen Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Po-Yen Wu. A scholar is included among the top collaborators of Po-Yen Wu 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 Po-Yen Wu. Po-Yen Wu 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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