Hsin-Ta Wu

7.8k total citations · 1 hit paper
4 papers, 817 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 817 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, United Kingdom and Spain. Hsin-Ta Wu's co-authors include Benjamin J. Raphael, Mark D.M. Leiserson, Fabio Vandin, Abel González-Pérez, Yu‐Wei Cheng, Beifang Niu, Alexandra Papoutsaki, Jason R. Dobson, David Tamborero and Núria López-Bigas and has published in prestigious journals such as Nature Genetics, Bioinformatics and PLoS ONE.

In The Last Decade

Hsin-Ta Wu

4 papers receiving 810 citations

Hit Papers

Pan-cancer network analysis identifies combinations of ra... 2014 2026 2018 2022 2014 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hsin-Ta Wu United States 4 663 322 129 84 77 4 817
Zack Sanborn United States 10 716 1.1× 300 0.9× 132 1.0× 109 1.3× 130 1.7× 19 941
Félix Sanchez-Garcia United States 5 704 1.1× 319 1.0× 95 0.7× 67 0.8× 129 1.7× 5 834
Gregory Ryslik United States 7 556 0.8× 226 0.7× 91 0.7× 52 0.6× 46 0.6× 8 664
Joachim Baran United Kingdom 6 569 0.9× 227 0.7× 92 0.7× 63 0.8× 77 1.0× 7 724
Lee Sam United States 10 787 1.2× 311 1.0× 125 1.0× 198 2.4× 57 0.7× 13 1.1k
Jinfeng Zou Canada 16 646 1.0× 336 1.0× 118 0.9× 154 1.8× 165 2.1× 45 986
Emanuel Gonçalves United Kingdom 17 757 1.1× 179 0.6× 87 0.7× 56 0.7× 131 1.7× 31 940
Salim A. Chowdhury United States 13 321 0.5× 200 0.6× 87 0.7× 46 0.5× 79 1.0× 15 471
Younhun Kim United States 3 505 0.8× 206 0.6× 81 0.6× 52 0.6× 44 0.6× 4 622
Eduard Porta‐Pardo Spain 12 714 1.1× 315 1.0× 154 1.2× 67 0.8× 62 0.8× 19 907

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

4 of 4 papers shown
1.
Elyanow, Rebecca, Hsin-Ta Wu, & Benjamin J. Raphael. (2017). Identifying structural variants using linked-read sequencing data. Bioinformatics. 34(2). 353–360. 51 indexed citations
2.
Leiserson, Mark D.M., Hsin-Ta Wu, Fabio Vandin, & Benjamin J. Raphael. (2015). CoMEt: a statistical approach to identify combinations of mutually exclusive alterations in cancer. Genome biology. 16(1). 160–160. 126 indexed citations
3.
Brodsky, Alexander S., Andrew Fischer, Daniel Miller, et al.. (2014). Expression Profiling of Primary and Metastatic Ovarian Tumors Reveals Differences Indicative of Aggressive Disease. PLoS ONE. 9(4). e94476–e94476. 52 indexed citations
4.
Leiserson, Mark D.M., Fabio Vandin, Hsin-Ta Wu, et al.. (2014). Pan-cancer network analysis identifies combinations of rare somatic mutations across pathways and protein complexes. Nature Genetics. 47(2). 106–114. 588 indexed citations breakdown →

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026