Chin-Chang Cheng

70 total papers · 704 total citations
33 papers, 307 citations indexed

About

Chin-Chang Cheng is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Chin-Chang Cheng has authored 33 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cardiology and Cardiovascular Medicine, 11 papers in Surgery and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Chin-Chang Cheng's work include Pulmonary Hypertension Research and Treatments (8 papers), Acute Myocardial Infarction Research (7 papers) and Cardiac Imaging and Diagnostics (4 papers). Chin-Chang Cheng is often cited by papers focused on Pulmonary Hypertension Research and Treatments (8 papers), Acute Myocardial Infarction Research (7 papers) and Cardiac Imaging and Diagnostics (4 papers). Chin-Chang Cheng collaborates with scholars based in Taiwan, United States and China. Chin-Chang Cheng's co-authors include Wei‐Chun Huang, Yen‐Mou Lu, Nathaniel R. Ordway, Xingkai Zhang, Amir H. Fayyazi, Chun‐Peng Liu, Guang-Yuan Mar, Pei‐Ling Chi, Shue–Ren Wann and Pei‐Ling Tang and has published in prestigious journals such as Journal of the American College of Cardiology, Spine and International Journal of Molecular Sciences.

In The Last Decade

Chin-Chang Cheng

31 papers receiving 305 citations

Author Peers

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

Author Last Decade Papers Cites
Chin-Chang Cheng 112 77 76 59 41 33 307
Keiji Ataka 133 1.2× 49 0.6× 114 1.5× 129 2.2× 32 0.8× 31 321
F. Grauso 76 0.7× 20 0.3× 90 1.2× 45 0.8× 38 0.9× 27 334
Takashin Nakayama 62 0.6× 27 0.4× 43 0.6× 53 0.9× 39 1.0× 52 272
A. Bouman 62 0.6× 31 0.4× 24 0.3× 89 1.5× 43 1.0× 24 321
Bekir Sıtkı Cebeci 62 0.6× 34 0.4× 158 2.1× 36 0.6× 37 0.9× 36 312
Mayumi Inaba 100 0.9× 25 0.3× 127 1.7× 76 1.3× 33 0.8× 32 335
Arjen‐Kars Boer 102 0.9× 49 0.6× 56 0.7× 25 0.4× 38 0.9× 36 362
John D’Souza 73 0.7× 26 0.3× 66 0.9× 46 0.8× 24 0.6× 35 274
Lubomı́r Elbl 47 0.4× 23 0.3× 157 2.1× 51 0.9× 31 0.8× 39 330
Anna Criniti 71 0.6× 61 0.8× 85 1.1× 15 0.3× 49 1.2× 19 312

Countries citing papers authored by Chin-Chang Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Chin-Chang Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chin-Chang Cheng

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