Ping Chai

3.4k citations
106 papers · 1.8k · h-index 23

Impact in

Papers in

Ping Chai

101 papers receiving 1.8k citations

Peers

Ping Chai
Comparison fields: 5 of 115
  • Cardiology and Cardiovascular Medicine 648
  • Rheumatology 170
  • Endocrinology, Diabetes and Metabolism 188
  • Biotechnology 105
  • Radiology, Nuclear Medicine and Imaging 247
Replace Carlo Gaudio with:
Carlo Gaudio Italy
Mohamed Kanj United States
Mohammad Reza Movahed United States
Jason G. Andrade Canada
Jong‐Chan Youn South Korea
Fabio Miraldi Italy
Ciro Santoro Italy
Domenico Cianflone Italy
Kaoru Dohi Japan
Noriaki Iwahashi Japan
Ping Chai relative to Carlo Gaudio Italy Carlo Gaudio's profile →
Citations per field
00.5×
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 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012163
2 2006145
3 2015142
4 2014105
5 200583
6 200582
7 200980
8 202160
9 202159
10 202251
11 201348
12 202235
13 202230
14 202227
15 202127
16 202027
17 201325
18 202325
19 202223
20 201323

About Ping Chai

Ping Chai is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Pulmonary and Respiratory Medicine and Endocrinology, Diabetes and Metabolism, having authored 106 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (18 papers), Cardiovascular Function and Risk Factors (12 papers), Advanced MRI Techniques and Applications (9 papers), Diabetes Treatment and Management (8 papers), Heart Failure Treatment and Management (7 papers), Acute Myocardial Infarction Research (7 papers), Coronary Interventions and Diagnostics (6 papers) and Atrial Fibrillation Management and Outcomes (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (648 citations), Rheumatology (170 citations), Endocrinology, Diabetes and Metabolism (188 citations), Biotechnology (105 citations) and Radiology, Nuclear Medicine and Imaging (247 citations). Ping Chai has collaborated with scholars based in Singapore, United Kingdom and China. Frequent co-authors include Raad Mohiaddin, Raymond Wong, Adrian F. Low, Ching‐Hui Sia, Mark Y. Chan, Carolyn S.P. Lam, Fazlur Jaufeerally, David Sim, Lieng Hsi Ling and Hean Yee Ong. Their work appears in journals such as Journal of Cardiovascular Magnetic Resonance, Frontiers in Cardiovascular Medicine, American Journal of Cardiovascular Drugs, Journal of the American College of Cardiology and European Journal of Heart Failure.

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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