C. C. Chow

1.4k citations
32 papers · 870 · h-index 16

Impact in

Papers in

C. C. Chow

31 papers receiving 830 citations

Peers

C. C. Chow
Comparison fields: 5 of 82
  • Endocrinology, Diabetes and Metabolism 246
  • Reproductive Medicine 117
  • Nephrology 49
  • Cardiology and Cardiovascular Medicine 121
  • Sensory Systems 26
Replace Sinem Kucuksarac Kiyici with:
Sinem Kucuksarac Kiyici Türkiye
Masahiro Adachi Japan
V.T.F. Yeung Hong Kong
Shayan Moazeni United States
Daniel Lorber United States
Carla Musso Argentina
Ling Ge United States
K. G. Taylor United Kingdom
GIORGIO L. NICOLIS United States
C. C. Chow relative to Sinem Kucuksarac Kiyici Türkiye Sinem Kucuksarac Kiyici's profile →
Citations per field
00.5×2×3.0×
Sinem Kucuksarac Kiyici · 1×
Citations per year

Countries citing papers authored by C. C. Chow

Since Specialization
Citations

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

Fields of papers citing papers by C. C. Chow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside C. C. Chow, 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 C. C. Chow Line = papers co-authored together C. C. Chow 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 1996124
2 200894
3 200476
4 200869
5 200658
6 199646
7 200639
8 200639
9 201037
10 199534
11 200029
12 201028
13
Polycystic ovarian syndrome in Hong Kong Chinese women: patient characteristics and diagnostic criteria.
200525
14 201224
15 200624
16 200318
17 200815
18 201411
19 199611
20 199310

About C. C. Chow

C. C. Chow is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Nephrology, Molecular Biology and Hepatology, having authored 32 papers that have together received 870 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Thyroid Disorders and Treatments (5 papers), Ion channel regulation and function (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Diabetes and associated disorders (2 papers), Chronic Kidney Disease and Diabetes (2 papers), Hormonal Regulation and Hypertension (2 papers) and Hepatitis C virus research (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (246 citations), Reproductive Medicine (117 citations), Nephrology (49 citations), Cardiology and Cardiovascular Medicine (121 citations) and Sensory Systems (26 citations). C. C. Chow has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include Clive Stewart Cockram, J T S Chan, P. C. Y. Tong, Wing‐Yee So, J. K. Y. Li, V.T.F. Yeung, Gang-Jee Ko, Alice P.S. Kong, Henry H. Chan and Wing Yee So. Their work appears in journals such as Diabetes Research and Clinical Practice, Kidney International, Nephrology Dialysis Transplantation, Diabetic Medicine and Journal of the Royal Society of Medicine.

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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