Wen-Bin Hsu

15 total papers · 816 total citations
11 papers, 606 citations indexed

About

Wen-Bin Hsu is a scholar working on Molecular Biology, Cell Biology and Endocrinology. According to data from OpenAlex, Wen-Bin Hsu has authored 11 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Cell Biology and 5 papers in Endocrinology. Recurrent topics in Wen-Bin Hsu's work include Microtubule and mitosis dynamics (5 papers), Escherichia coli research studies (5 papers) and Viral gastroenteritis research and epidemiology (3 papers). Wen-Bin Hsu is often cited by papers focused on Microtubule and mitosis dynamics (5 papers), Escherichia coli research studies (5 papers) and Viral gastroenteritis research and epidemiology (3 papers). Wen-Bin Hsu collaborates with scholars based in Taiwan, Australia and United States. Wen-Bin Hsu's co-authors include Ching-Wen Chang, Tang K. Tang, Chieh-Ju C. Tang, Yi‐Nan Lin, Yu‐Chih Lin, Chien-Ting Wu, Kuo-Sheng Wu, Jiann‐Hwa Chen, Chien‐Shun Chiou and Jiahua Liu and has published in prestigious journals such as The Journal of Cell Biology, The EMBO Journal and Scientific Reports.

In The Last Decade

Wen-Bin Hsu

11 papers receiving 590 citations

Author Peers

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

Author Last Decade Papers Cites
Wen-Bin Hsu 467 427 212 119 61 11 606
Barbara D. Tzschaschel 268 0.6× 309 0.7× 82 0.4× 19 0.2× 95 1.6× 9 570
Florian Settele 273 0.6× 368 0.9× 104 0.5× 52 0.4× 18 0.3× 9 497
Timothy Jinks 84 0.2× 388 0.9× 91 0.4× 33 0.3× 61 1.0× 11 529
A R Redfield 153 0.3× 478 1.1× 220 1.0× 33 0.3× 10 0.2× 7 649
Gerard Mazón 105 0.2× 608 1.4× 185 0.9× 105 0.9× 15 0.2× 26 694
Kendra Walton 115 0.2× 395 0.9× 143 0.7× 181 1.5× 7 0.1× 7 596
Théodora Niault 241 0.5× 428 1.0× 48 0.2× 48 0.4× 26 0.4× 9 693
Dorothée Müller 63 0.1× 259 0.6× 119 0.6× 46 0.4× 114 1.9× 18 534
Heather R. Panek 229 0.5× 430 1.0× 43 0.2× 123 1.0× 10 0.2× 9 588
Pamela L. Connerly 201 0.4× 352 0.8× 70 0.3× 44 0.4× 119 2.0× 10 561

Countries citing papers authored by Wen-Bin Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Wen-Bin Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wen-Bin Hsu. 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 Wen-Bin Hsu. The network helps show where Wen-Bin Hsu may publish in the future.

Co-authorship network of co-authors of Wen-Bin Hsu

This figure shows the co-authorship network connecting the top 25 collaborators of Wen-Bin Hsu. A scholar is included among the top collaborators of Wen-Bin Hsu 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 Wen-Bin Hsu. Wen-Bin Hsu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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