John S.D. Chan

6.0k citations
134 papers · 5.2k · h-index 41

Impact in

Papers in

John S.D. Chan

134 papers receiving 5.0k citations

Peers

John S.D. Chan
Comparison fields: 5 of 114
  • Nephrology 670
  • Endocrinology, Diabetes and Metabolism 1.1k
  • Cardiology and Cardiovascular Medicine 885
  • Clinical Biochemistry 231
  • Behavioral Neuroscience 93
Replace Atsuo Goto with:
Atsuo Goto Japan
Boye Lagerbon Jensen Denmark
Johannes Loffing Switzerland
Jo G. R. De Mey Netherlands
Renato Lauro Italy
Toru Aizawa Japan
François Alhenc‐Gelas France
Boris Draznin United States
Carlos F. Sánchez‐Ferrer Spain
Volkmar Groß Germany
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Citations per field
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Citations per year

Countries citing papers authored by John S.D. Chan

Since Specialization
Citations

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

Fields of papers citing papers by John S.D. Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John S.D. Chan. 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 John S.D. Chan. The network helps show where John S.D. Chan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 134 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012378
2 1996286
3 2002165
4 2002150
5 2007148
6 2007144
7 2001117
8 2006116
9 2013113
10 1999107
11 2017104
12 1976103
13 201094
14 200890
15 200186
16 200385
17 200083
18 201482
19 197881
20 201077

About John S.D. Chan

John S.D. Chan is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology, Cardiology and Cardiovascular Medicine, Molecular Biology and Endocrine and Autonomic Systems, having authored 134 papers that have together received 5.2k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (34 papers), Hormonal Regulation and Hypertension (25 papers), Chronic Kidney Disease and Diabetes (17 papers), Growth Hormone and Insulin-like Growth Factors (16 papers), Receptor Mechanisms and Signaling (15 papers), Regulation of Appetite and Obesity (10 papers), Renal and related cancers (9 papers) and Pancreatic function and diabetes (8 papers). The work is most often cited by research in Nephrology (670 citations), Endocrinology, Diabetes and Metabolism (1.1k citations), Cardiology and Cardiovascular Medicine (885 citations), Clinical Biochemistry (231 citations) and Behavioral Neuroscience (93 citations). John S.D. Chan has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include János G. Filep, Julie R. Ingelfinger, Shao-Ling Zhang, Isabelle Chénier, Henry G. Friesen, Michel Chrétien, Hamish A. Robertson, Shiow‐Shih Tang, Nabil Georges Seidah and Chao‐Sheng Lo. Their work appears in journals such as Kidney International, Endocrinology, Journal of the American Society of Nephrology, Diabetes and The Journal of Clinical Endocrinology & Metabolism.

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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