Chun‐Hsiung Wu

22 total papers · 538 total citations
20 papers, 438 citations indexed

About

Chun‐Hsiung Wu is a scholar working on Molecular Biology, Organic Chemistry and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Chun‐Hsiung Wu has authored 20 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Organic Chemistry and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Chun‐Hsiung Wu's work include Receptor Mechanisms and Signaling (4 papers), Cardiac electrophysiology and arrhythmias (3 papers) and Chemical synthesis and pharmacological studies (3 papers). Chun‐Hsiung Wu is often cited by papers focused on Receptor Mechanisms and Signaling (4 papers), Cardiac electrophysiology and arrhythmias (3 papers) and Chemical synthesis and pharmacological studies (3 papers). Chun‐Hsiung Wu collaborates with scholars based in Taiwan, Japan and United States. Chun‐Hsiung Wu's co-authors include Hong‐Zin Lee, Shih-Lan Hsu, Wen‐chang Lin, Katsumi Ishii, Hideo Nakamura, Sheng‐Chu Kuo, Shang-Yuan Tsai, Chun‐Nan Lin, Kuo‐Hsiung Lee and Anthony B. Mauger and has published in prestigious journals such as Journal of Medicinal Chemistry, International Journal of Cancer and Life Sciences.

In The Last Decade

Chun‐Hsiung Wu

17 papers receiving 417 citations

Author Peers

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

Author						Papers	Cites
Chun‐Hsiung Wu	199	157	107	74	72	20	438
Meng-Liang Lin	130 0.7×	255 1.6×	73 0.7×	58 0.8×	47 0.7×	17	452
Ming-Jen Fan	121 0.6×	248 1.6×	74 0.7×	59 0.8×	23 0.3×	14	492
Ching‐Lung Liao	101 0.5×	291 1.9×	54 0.5×	52 0.7×	43 0.6×	17	458
Shuw-Yuan Lin	159 0.8×	151 1.0×	55 0.5×	43 0.6×	24 0.3×	9	420
Beena Joy	146 0.7×	161 1.0×	47 0.4×	31 0.4×	52 0.7×	22	481
Fu Shun Yu	82 0.4×	211 1.3×	74 0.7×	139 1.9×	38 0.5×	15	409
Sunin Jung	182 0.9×	179 1.1×	25 0.2×	95 1.3×	88 1.2×	14	453
Song‐Chwan Fang	125 0.6×	299 1.9×	34 0.3×	88 1.2×	50 0.7×	14	458
Sung Ok Lee	115 0.6×	162 1.0×	32 0.3×	65 0.9×	34 0.5×	13	398
Kenzo OKADA	134 0.7×	212 1.4×	28 0.3×	30 0.4×	37 0.5×	15	440

Countries citing papers authored by Chun‐Hsiung Wu

Since Specialization

Citations

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

Fields of papers citing papers by Chun‐Hsiung Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chun‐Hsiung Wu

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