Cher‐Rin Chong

1.4k citations
32 papers · 717 · h-index 13

Impact in

Papers in

Cher‐Rin Chong

32 papers receiving 710 citations

Peers

Cher‐Rin Chong
Comparison fields: 5 of 88
  • Cardiology and Cardiovascular Medicine 278
  • Endocrinology, Diabetes and Metabolism 126
  • Physiology 172
  • Clinical Biochemistry 26
  • Aging 6
Replace Julie K. Freed with:
Julie K. Freed United States
Tomofumi Takaya Japan
Julia Adrogue United States
Svetlana Reilly United Kingdom
Lawrence Nair United States
Tariq Altamimi Canada
Andrea Schrepper Germany
Salva R. Yurista United States
Wei Ou China
Michaela Scheuermann‐Freestone United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Cher‐Rin Chong

Since Specialization
Citations

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

Fields of papers citing papers by Cher‐Rin Chong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cher‐Rin Chong. 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 Cher‐Rin Chong. The network helps show where Cher‐Rin Chong may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021162
2 2017114
3 201476
4 201369
5 201239
6 201332
7 201424
8 201624
9 201818
10 201716
11 202316
12 201215
13 201413
14 202012
15 201612
16 201512
17 201510
18 20138
19 19878
20 20158

About Cher‐Rin Chong

Cher‐Rin Chong is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Radiology, Nuclear Medicine and Imaging, Physiology and Molecular Biology, having authored 32 papers that have together received 717 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (7 papers), Takotsubo Cardiomyopathy and Associated Phenomena (7 papers), Cardiac Imaging and Diagnostics (4 papers), Diet and metabolism studies (3 papers), Cardiac electrophysiology and arrhythmias (3 papers), Metabolism and Genetic Disorders (3 papers), Adipose Tissue and Metabolism (3 papers) and Diet, Metabolism, and Disease (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (278 citations), Endocrinology, Diabetes and Metabolism (126 citations), Physiology (172 citations), Clinical Biochemistry (26 citations) and Aging (6 citations). Cher‐Rin Chong has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include John D. Horowitz, Kieran Clarke, Eylem Levelt, Thanh H. Nguyen, Rudolf A. de Boer, Salva R. Yurista, Juan J. Badimón, B. Daan Westenbrink, Daniel P. Kelly and Christopher Neil. Their work appears in journals such as Cardiovascular Drugs and Therapy, ESC Heart Failure, Thrombosis Research, Interactive Cardiovascular and Thoracic Surgery and Expert Opinion on Emerging 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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