Chin-Chen Wu

31 total papers · 455 total citations
24 papers, 363 citations indexed

About

Chin-Chen Wu is a scholar working on Physiology, Cardiology and Cardiovascular Medicine and Molecular Biology. According to data from OpenAlex, Chin-Chen Wu has authored 24 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Physiology, 5 papers in Cardiology and Cardiovascular Medicine and 4 papers in Molecular Biology. Recurrent topics in Chin-Chen Wu's work include Nitric Oxide and Endothelin Effects (7 papers), Ion channel regulation and function (4 papers) and Thermoregulation and physiological responses (3 papers). Chin-Chen Wu is often cited by papers focused on Nitric Oxide and Endothelin Effects (7 papers), Ion channel regulation and function (4 papers) and Thermoregulation and physiological responses (3 papers). Chin-Chen Wu collaborates with scholars based in Taiwan, India and Canada. Chin-Chen Wu's co-authors include Chih‐Chin Shih, Mao‐Hsiung Yen, Shiu‐Jen Chen, Mei‐Hui Liao, Wen‐Fei Chiou, Wen‐Hsin Huang, Shiu-Jen Chen, An‐Rong Lee, Ren‐Yeong Huang and Feng‐Cheng Liu and has published in prestigious journals such as PLoS ONE, Scientific Reports and Life Sciences.

In The Last Decade

Chin-Chen Wu

24 papers receiving 354 citations

Author Peers

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

Author						Papers	Cites
Chin-Chen Wu	106	99	64	56	49	24	363
Maria Elisa Lopes Pires	105 1.0×	37 0.4×	62 1.0×	58 1.0×	58 1.2×	22	400
Shen Zhang	131 1.2×	38 0.4×	38 0.6×	60 1.1×	27 0.6×	22	376
Jesper Skov Neergaard	56 0.5×	87 0.9×	38 0.6×	26 0.5×	29 0.6×	18	400
Francesca Leone	102 1.0×	24 0.2×	37 0.6×	119 2.1×	14 0.3×	30	400
Nalini Devarajan	143 1.3×	62 0.6×	14 0.2×	77 1.4×	65 1.3×	20	401
Xin Sui	144 1.4×	31 0.3×	45 0.7×	24 0.4×	37 0.8×	31	335
Vânia Cláudia Olivon	113 1.1×	68 0.7×	19 0.3×	32 0.6×	26 0.5×	21	316
Haoyue Deng	163 1.5×	64 0.6×	11 0.2×	92 1.6×	23 0.5×	35	402
Colette Franssen	79 0.7×	46 0.5×	17 0.3×	28 0.5×	10 0.2×	22	377
Margarita L. Alexandrova	91 0.9×	65 0.7×	21 0.3×	70 1.3×	27 0.6×	25	356

Countries citing papers authored by Chin-Chen Wu

Since Specialization

Citations

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

Fields of papers citing papers by Chin-Chen Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chin-Chen Wu

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