Cheng-Hsuan Wu

44 total papers · 1.2k total citations
31 papers, 602 citations indexed

About

Cheng-Hsuan Wu is a scholar working on Reproductive Medicine, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Cheng-Hsuan Wu has authored 31 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Reproductive Medicine, 9 papers in Pediatrics, Perinatology and Child Health and 8 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Cheng-Hsuan Wu's work include Ovarian function and disorders (8 papers), Reproductive Biology and Fertility (6 papers) and Assisted Reproductive Technology and Twin Pregnancy (5 papers). Cheng-Hsuan Wu is often cited by papers focused on Ovarian function and disorders (8 papers), Reproductive Biology and Fertility (6 papers) and Assisted Reproductive Technology and Twin Pregnancy (5 papers). Cheng-Hsuan Wu collaborates with scholars based in Taiwan, United States and India. Cheng-Hsuan Wu's co-authors include Pieter C. Dorrestein, Horng‐Der Tsai, Brendan M. Duggan, Vanessa V. Phelan, Wilna J. Moree, Dale S. Cornett, Nuno Bandeira, Yu‐Ching Chen, Yu‐Jun Chang and Tsung‐Hsien Lee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Sensors.

In The Last Decade

Cheng-Hsuan Wu

28 papers receiving 593 citations

Author Peers

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

Author Last Decade Papers Cites
Cheng-Hsuan Wu 219 182 169 103 73 31 602
Frank N. Syner 130 0.6× 158 0.9× 256 1.5× 79 0.8× 81 1.1× 27 628
Ana‐Paula Teixeira‐Gomes 193 0.9× 218 1.2× 308 1.8× 26 0.3× 68 0.9× 28 596
C. J. Thompson 92 0.4× 48 0.3× 43 0.3× 74 0.7× 48 0.7× 29 697
F. Ectors 109 0.5× 199 1.1× 150 0.9× 36 0.3× 26 0.4× 53 674
Stefan Dieterle 143 0.7× 118 0.6× 225 1.3× 36 0.3× 87 1.2× 39 645
Adolfo Rosado 116 0.5× 239 1.3× 301 1.8× 67 0.7× 27 0.4× 25 672
Joachim Höchel 59 0.3× 91 0.5× 56 0.3× 46 0.4× 28 0.4× 36 589
John Coley 234 1.1× 109 0.6× 99 0.6× 12 0.1× 40 0.5× 24 602
Adam Lepczyński 163 0.7× 95 0.5× 87 0.5× 19 0.2× 34 0.5× 62 647
Stephen Lincoln 118 0.5× 136 0.7× 228 1.3× 83 0.8× 108 1.5× 25 591

Countries citing papers authored by Cheng-Hsuan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Cheng-Hsuan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng-Hsuan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng-Hsuan Wu. A scholar is included among the top collaborators of Cheng-Hsuan 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 Cheng-Hsuan Wu. Cheng-Hsuan 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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2026