Hsin-Ta Wu

9 total papers · 7.7k total citations
4 papers, 814 citations indexed

About

Hsin-Ta Wu is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Hsin-Ta Wu has authored 4 papers receiving a total of 814 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Genetics. Recurrent topics in Hsin-Ta Wu's work include Cancer Genomics and Diagnostics (3 papers), Genomics and Rare Diseases (2 papers) and Bioinformatics and Genomic Networks (2 papers). Hsin-Ta Wu is often cited by papers focused on Cancer Genomics and Diagnostics (3 papers), Genomics and Rare Diseases (2 papers) and Bioinformatics and Genomic Networks (2 papers). Hsin-Ta Wu collaborates with scholars based in United States, Spain and United Kingdom. Hsin-Ta Wu's co-authors include Benjamin J. Raphael, Fabio Vandin, Mark D.M. Leiserson, Younhun Kim, Beifang Niu, Michael S. Lawrence, Núria López-Bigas, Jason R. Dobson, Michael D. McLellan and Li Ding and has published in prestigious journals such as Nature Genetics, Bioinformatics and PLoS ONE.

In The Last Decade

Hsin-Ta Wu

4 papers receiving 807 citations

Hit Papers

Pan-cancer network analys... 2014 2026 2018 2022 2014 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Hsin-Ta Wu 659 322 129 83 77 4 814
Félix Sanchez-Garcia 703 1.1× 317 1.0× 95 0.7× 67 0.8× 129 1.7× 5 832
Joachim Baran 566 0.9× 227 0.7× 91 0.7× 62 0.7× 76 1.0× 7 720
Zack Sanborn 715 1.1× 299 0.9× 133 1.0× 108 1.3× 129 1.7× 19 939
Srikant Verma 581 0.9× 127 0.4× 101 0.8× 80 1.0× 42 0.5× 5 863
Iker Reyes-Salazar 579 0.9× 346 1.1× 124 1.0× 141 1.7× 152 2.0× 3 839
Lana X. Garmire 581 0.9× 156 0.5× 82 0.6× 85 1.0× 41 0.5× 5 787
Bozhi Shi 440 0.7× 275 0.9× 70 0.5× 98 1.2× 266 3.5× 7 761
Anders Riutta 577 0.9× 131 0.4× 70 0.5× 77 0.9× 72 0.9× 6 834
Erin L. Sausville 468 0.7× 137 0.4× 64 0.5× 90 1.1× 183 2.4× 6 965
Judit Jané‐Valbuena 692 1.1× 188 0.6× 101 0.8× 131 1.6× 223 2.9× 11 942

Countries citing papers authored by Hsin-Ta Wu

Since Specialization
Citations

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

Fields of papers citing papers by Hsin-Ta Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hsin-Ta Wu

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