Ming-Fong Chen

3.2k citations
98 papers · 2.7k · h-index 30

Impact in

Papers in

Ming-Fong Chen

97 papers receiving 2.6k citations

Peers

Ming-Fong Chen
Comparison fields: 5 of 108
  • Cardiology and Cardiovascular Medicine 997
  • Endocrinology, Diabetes and Metabolism 207
  • Epidemiology 371
  • Surgery 471
  • Family Practice 21
Replace Giovańni Ciuffetti with:
Giovańni Ciuffetti Italy
David A. Mendelow United Kingdom
Jyh-Hong Chen Taiwan
Maria E. Marketou Greece
Jean‐Louis David Belgium
Berthold Höfling Germany
Robert J. MacFadyen United Kingdom
Chang Gyu Park South Korea
Adrian Doroszko Poland
Robert J. Henning United States
Ming-Fong Chen relative to Giovańni Ciuffetti Italy Giovańni Ciuffetti's profile →
Citations per field
00.5×2×4×6×7.4×
Giovańni Ciuffetti · 1×
Citations per year

Countries citing papers authored by Ming-Fong Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Fong Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ming-Fong Chen, 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 Ming-Fong Chen Line = papers co-authored together Ming-Fong Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014172
2 2013143
3 2008128
4 200890
5 199384
6 201484
7 201584
8 200876
9 200164
10 201260
11 200959
12 201258
13 199855
14 201654
15 201050
16 201750
17 201448
18 200845
19 200942
20 201042

About Ming-Fong Chen

Ming-Fong Chen is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 98 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (11 papers), Cardiovascular Function and Risk Factors (9 papers), Cardiac Valve Diseases and Treatments (7 papers), Blood Pressure and Hypertension Studies (7 papers), Atrial Fibrillation Management and Outcomes (7 papers), Lipoproteins and Cardiovascular Health (6 papers), Heart Rate Variability and Autonomic Control (6 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (997 citations), Endocrinology, Diabetes and Metabolism (207 citations), Epidemiology (371 citations), Surgery (471 citations) and Family Practice (21 citations). Ming-Fong Chen has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Yuan‐Teh Lee, Hsiu‐Ching Hsu, Kuo‐Liong Chien, Ta‐Chen Su, Chih‐Yuan Wang, Chih‐Jen Chang, Horng‐Yih Ou, Chiau‐Suong Liau, Yi‐Lwun Ho and Wen‐Jone Chen. Their work appears in journals such as The American Journal of Cardiology, Cardiology, International Journal of Cardiology, Journal of Gastroenterology and Hepatology and Cardiovascular Drugs and Therapy.

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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