Kuang‐Hsing Chiang

40 total papers · 434 total citations
25 papers, 354 citations indexed

About

Kuang‐Hsing Chiang is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Kuang‐Hsing Chiang has authored 25 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 4 papers in Molecular Biology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Kuang‐Hsing Chiang's work include Cardiovascular Health and Disease Prevention (3 papers), Atherosclerosis and Cardiovascular Diseases (3 papers) and Angiogenesis and VEGF in Cancer (2 papers). Kuang‐Hsing Chiang is often cited by papers focused on Cardiovascular Health and Disease Prevention (3 papers), Atherosclerosis and Cardiovascular Diseases (3 papers) and Angiogenesis and VEGF in Cancer (2 papers). Kuang‐Hsing Chiang collaborates with scholars based in Taiwan, United States and Brazil. Kuang‐Hsing Chiang's co-authors include Shao‐Sung Huang, Po‐Hsun Huang, Shing‐Jong Lin, Jaw‐Wen Chen, Feng‐Yen Lin, Chun‐Yao Huang, Yung‐Ta Kao, Yung‐Hsiang Chen, Nai-Wen Tsao and Chun‐Ming Shih and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Kuang‐Hsing Chiang

24 papers receiving 347 citations

Author Peers

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

Author Last Decade Papers Cites
Kuang‐Hsing Chiang 125 124 57 55 48 25 354
Fenghe Du 93 0.7× 115 0.9× 47 0.8× 60 1.1× 58 1.2× 28 378
Aydın Güçlü 80 0.6× 101 0.8× 48 0.8× 91 1.7× 73 1.5× 23 400
Gourg Atteya 93 0.7× 127 1.0× 40 0.7× 32 0.6× 74 1.5× 16 368
Hengdao Liu 62 0.5× 182 1.5× 35 0.6× 68 1.2× 72 1.5× 26 389
Qianwei Cui 66 0.5× 89 0.7× 61 1.1× 40 0.7× 29 0.6× 25 334
Jiang Shi-sen 84 0.7× 140 1.1× 31 0.5× 77 1.4× 59 1.2× 29 360
Kazutoshi Mawatari 121 1.0× 107 0.9× 37 0.6× 44 0.8× 43 0.9× 22 346
Lin Liao 57 0.5× 80 0.6× 67 1.2× 57 1.0× 36 0.8× 22 310
Qiaoqing Zhong 64 0.5× 113 0.9× 40 0.7× 38 0.7× 52 1.1× 19 298
Qingqiao Song 102 0.8× 153 1.2× 33 0.6× 36 0.7× 40 0.8× 27 371

Countries citing papers authored by Kuang‐Hsing Chiang

Since Specialization
Citations

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

Fields of papers citing papers by Kuang‐Hsing Chiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuang‐Hsing Chiang. 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 Kuang‐Hsing Chiang. The network helps show where Kuang‐Hsing Chiang may publish in the future.

Co-authorship network of co-authors of Kuang‐Hsing Chiang

This figure shows the co-authorship network connecting the top 25 collaborators of Kuang‐Hsing Chiang. A scholar is included among the top collaborators of Kuang‐Hsing Chiang 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 Kuang‐Hsing Chiang. Kuang‐Hsing Chiang 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