Wen Hao Wu

34 total papers · 961 total citations
23 papers, 624 citations indexed

About

Wen Hao Wu is a scholar working on Molecular Biology, Dermatology and Physiology. According to data from OpenAlex, Wen Hao Wu has authored 23 papers receiving a total of 624 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Dermatology and 4 papers in Physiology. Recurrent topics in Wen Hao Wu's work include Dermatology and Skin Diseases (7 papers), Asthma and respiratory diseases (4 papers) and Porphyrin Metabolism and Disorders (2 papers). Wen Hao Wu is often cited by papers focused on Dermatology and Skin Diseases (7 papers), Asthma and respiratory diseases (4 papers) and Porphyrin Metabolism and Disorders (2 papers). Wen Hao Wu collaborates with scholars based in South Korea, United States and China. Wen Hao Wu's co-authors include David R. Morris, Min‐Geol Lee, Sang Ho Oh, Chang Ook Park, Dong Won Lee, Tae‐Gyun Kim, David Shemin, Robley C. Williams, Kenneth Richards and Ji Yeon Noh and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Annals of the New York Academy of Sciences.

In The Last Decade

Wen Hao Wu

22 papers receiving 583 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 Hao Wu 307 186 117 110 102 23 624
Martine Bouclier 310 1.0× 206 1.1× 82 0.7× 144 1.3× 13 0.1× 31 633
Denis Khnykin 312 1.0× 158 0.8× 28 0.2× 131 1.2× 47 0.5× 26 652
David I. Wilkinson 195 0.6× 187 1.0× 45 0.4× 265 2.4× 25 0.2× 35 720
Luisa Benassi 282 0.9× 159 0.9× 10 0.1× 136 1.2× 15 0.1× 36 740
Yoram Soroka 176 0.6× 244 1.3× 9 0.1× 110 1.0× 23 0.2× 36 735
Eui Dong Son 181 0.6× 262 1.4× 12 0.1× 97 0.9× 45 0.4× 25 654
Thomas Mammone 189 0.6× 379 2.0× 12 0.1× 68 0.6× 31 0.3× 22 730
Mireille Serres 281 0.9× 75 0.4× 8 0.1× 104 0.9× 64 0.6× 25 647
K. Ikai 293 1.0× 81 0.4× 64 0.5× 135 1.2× 38 0.4× 33 677
Taras Ardan 263 0.9× 136 0.7× 26 0.2× 31 0.3× 15 0.1× 35 753

Countries citing papers authored by Wen Hao Wu

Since Specialization
Citations

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

Fields of papers citing papers by Wen Hao Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wen Hao 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 Wen Hao Wu. The network helps show where Wen Hao Wu may publish in the future.

Co-authorship network of co-authors of Wen Hao Wu

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