Min‐Huan Wu

31 total papers · 942 total citations
21 papers, 766 citations indexed

About

Min‐Huan Wu is a scholar working on Molecular Biology, Oncology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Min‐Huan Wu has authored 21 papers receiving a total of 766 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Oncology and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Min‐Huan Wu's work include Angiogenesis and VEGF in Cancer (4 papers), Cell Adhesion Molecules Research (4 papers) and Cytokine Signaling Pathways and Interactions (3 papers). Min‐Huan Wu is often cited by papers focused on Angiogenesis and VEGF in Cancer (4 papers), Cell Adhesion Molecules Research (4 papers) and Cytokine Signaling Pathways and Interactions (3 papers). Min‐Huan Wu collaborates with scholars based in Taiwan, United States and China. Min‐Huan Wu's co-authors include Henry E. Wiley, Sam T. Hwang, Wusi C. Maki, Chih‐Hsin Tang, Chun‐Hao Tsai, Yi‐Chin Fong, Yuan‐Li Huang, Shih‐Wei Wang, Jong‐Shyan Wang and Chih‐Chin Hsu and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, Scientific Reports and Journal of Applied Physiology.

In The Last Decade

Min‐Huan Wu

21 papers receiving 760 citations

Author Peers

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

Author						Papers	Cites
Min‐Huan Wu	341	256	204	107	101	21	766
Wei‐Hung Yang	258 0.8×	396 1.5×	156 0.8×	208 1.9×	74 0.7×	21	856
Duncan M. Morgan	235 0.7×	322 1.3×	369 1.8×	64 0.6×	163 1.6×	18	872
Olivier Robledo	355 1.0×	299 1.2×	278 1.4×	200 1.9×	39 0.4×	21	856
Ji‐Hyeon Ju	185 0.5×	209 0.8×	318 1.6×	79 0.7×	51 0.5×	23	727
Eric C. Cheon	306 0.9×	240 0.9×	441 2.2×	92 0.9×	57 0.6×	34	825
Fujio Nakazawa	130 0.4×	233 0.9×	207 1.0×	84 0.8×	88 0.9×	17	740
Ken Tawara	351 1.0×	289 1.1×	193 0.9×	153 1.4×	40 0.4×	16	733
Chih‐Hsin Tang	211 0.6×	330 1.3×	106 0.5×	178 1.7×	43 0.4×	18	715
Vinod S. Ramgolam	182 0.5×	234 0.9×	451 2.2×	58 0.5×	41 0.4×	16	822
Lidia Ibáñez	183 0.5×	534 2.1×	179 0.9×	84 0.8×	55 0.5×	18	797

Countries citing papers authored by Min‐Huan Wu

Since Specialization

Citations

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

Fields of papers citing papers by Min‐Huan Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min‐Huan 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 Min‐Huan Wu. The network helps show where Min‐Huan Wu may publish in the future.

Co-authorship network of co-authors of Min‐Huan Wu

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