Ping Chai

3.5k citations
131 papers · 2.6k · h-index 25

Impact in

Papers in

Ping Chai

120 papers receiving 2.5k citations

Peers

Ping Chai
Comparison fields: 5 of 131
  • Cardiology and Cardiovascular Medicine 969
  • Endocrinology, Diabetes and Metabolism 253
  • Rheumatology 193
  • Radiology, Nuclear Medicine and Imaging 283
  • Biotechnology 106
Replace Carlo Gaudio with:
Carlo Gaudio Italy
Nobuaki Kobayashi Japan
Volodymyr Kovalenko Ukraine
Tian Xu China
Luis Martínez‐Dolz Spain
Wei‐Chuan Tsai Taiwan
Peter M. George New Zealand
Bernard Citron France
Yoshihiro Fukumoto Japan
Estelle Gandjbakhch France
Ping Chai relative to Carlo Gaudio Italy Carlo Gaudio's profile →
Citations per field
00.5×2×4×6.2×
Carlo Gaudio · 1×
Citations per year

Countries citing papers authored by Ping Chai

Since Specialization
Citations

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

Fields of papers citing papers by Ping Chai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ping Chai. 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 Ping Chai. The network helps show where Ping Chai may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012174
2 2015163
3 2015151
4 2006146
5 2014111
6 201993
7 200586
8 200985
9 200584
10 201981
11 202170
12 202167
13 201365
14 202255
15 202446
16 202240
17 202333
18 202231
19 202230
20 202030

About Ping Chai

Ping Chai is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism, Surgery and Pulmonary and Respiratory Medicine, having authored 131 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (20 papers), Cardiovascular Function and Risk Factors (15 papers), Heart Failure Treatment and Management (11 papers), Acute Myocardial Infarction Research (10 papers), Advanced MRI Techniques and Applications (9 papers), Diabetes Treatment and Management (9 papers), Coronary Interventions and Diagnostics (7 papers) and Pulmonary Hypertension Research and Treatments (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (969 citations), Endocrinology, Diabetes and Metabolism (253 citations), Rheumatology (193 citations), Radiology, Nuclear Medicine and Imaging (283 citations) and Biotechnology (106 citations). Ping Chai has collaborated with scholars based in Singapore, United Kingdom and China. Frequent co-authors include Raad Hashem Mohiaddin, Raymond Ching-Chiew Wong, Adrian Fatt-Hoe Low, Ching-Hui Sia, Yan Yee Mark Chan, Carolyn S.P. Lam, David Sim, Fazlur Rehman Jaufeerally, Lieng Hsi Ling and Mark Richards. Their work appears in journals such as Frontiers in Cardiovascular Medicine, Journal of Cardiovascular Magnetic Resonance, European Journal of Heart Failure, Journal of the American College of Cardiology and American Journal of Cardiovascular Drugs.

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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