Kai‐Hung Cheng

1.4k citations
53 papers · 1.1k · h-index 17

Impact in

Papers in

Kai‐Hung Cheng

51 papers receiving 1.1k citations

Peers

Kai‐Hung Cheng
Comparison fields: 5 of 93
  • Nephrology 74
  • Cardiology and Cardiovascular Medicine 197
  • Surgery 296
  • Biomaterials 96
  • Clinical Biochemistry 45
Replace Toshihiko Yoshida with:
Toshihiko Yoshida Japan
Di Lu China
Jamie R. Privratsky United States
Zhenfei Fang China
Michele Torella Italy
Carmelo Erio Fiore Italy
Guoxian Qi China
Yuya Fujishima Japan
Ziwen Liang China
Wen‐Zhu Ma China
Kai‐Hung Cheng relative to Toshihiko Yoshida Japan Toshihiko Yoshida's profile →
Citations per field
00.5×1.5×2×2.4×
Toshihiko Yoshida · 1×
Citations per year

Countries citing papers authored by Kai‐Hung Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Kai‐Hung Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai‐Hung 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 Kai‐Hung Cheng. The network helps show where Kai‐Hung Cheng may publish in the future.

Co-authors

The 25 scholars most cited alongside Kai‐Hung Cheng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kai‐Hung Cheng Line = papers co-authored together Kai‐Hung Cheng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016223
2 2015173
3 2017136
4 201376
5 201560
6 201639
7 201235
8 201030
9 201730
10 201825
11 201222
12 201721
13 201821
14 200720
15 200420
16 199017
17 201317
18 201516
19 201714
20 201611

About Kai‐Hung Cheng

Kai‐Hung Cheng is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Surgery, Nephrology and Radiology, Nuclear Medicine and Imaging, having authored 53 papers that have together received 1.1k indexed citations. Recurring topics across this work include Chemotherapy-induced cardiotoxicity and mitigation (6 papers), Lipoproteins and Cardiovascular Health (4 papers), Hormonal and reproductive studies (4 papers), Cardiovascular Function and Risk Factors (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Cardiac Valve Diseases and Treatments (3 papers), Heart Failure Treatment and Management (3 papers) and Cardiac electrophysiology and arrhythmias (3 papers). The work is most often cited by research in Nephrology (74 citations), Cardiology and Cardiovascular Medicine (197 citations), Surgery (296 citations), Biomaterials (96 citations) and Clinical Biochemistry (45 citations). Kai‐Hung Cheng has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include Wen‐Ter Lai, Marielle Scherrer-Crosbie, Sheng‐Hsiung Sheu, Chih‐Sheng Chu, Kun‐Tai Lee, Tsung‐Hsien Lin, Godfrey Smith, Florian Weinberger, Simon Pecha and Hermann C. Reichenspurner. Their work appears in journals such as Andrology, The Journal of Sexual Medicine, Ultrasound in Medicine & Biology, International Journal of Cardiology and Journal of the American Society of Echocardiography.

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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