John C. Chambers

80.5k citations
79 papers · 2.8k · h-index 26

Impact in

Papers in

John C. Chambers

71 papers receiving 2.8k citations

Peers

John C. Chambers
Comparison fields: 5 of 148
  • Cardiology and Cardiovascular Medicine 547
  • Endocrine and Autonomic Systems 138
  • Genetics 535
  • Rheumatology 262
  • Endocrinology, Diabetes and Metabolism 226
Replace Dipender Gill with:
Dipender Gill United Kingdom
Yu Yang China
Haim Bitterman Israel
Wenquan Niu China
Naser Elkum Saudi Arabia
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Citations per field
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Citations per year

Countries citing papers authored by John C. Chambers

Since Specialization
Citations

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

Fields of papers citing papers by John C. Chambers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008357
2 2008238
3 2015231
4 2000207
5 2010193
6 2009187
7 2001151
8 201992
9 200978
10 201269
11 201766
12 201263
13 201962
14 200961
15 202356
16 199948
17 201047
18 198046
19 201937
20 201836

About John C. Chambers

John C. Chambers is a scholar working on Genetics, Cardiology and Cardiovascular Medicine, Molecular Biology, Physiology and Endocrinology, Diabetes and Metabolism, having authored 79 papers that have together received 2.8k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (14 papers), Epigenetics and DNA Methylation (7 papers), Nutrition, Genetics, and Disease (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Cardiovascular Health and Disease Prevention (3 papers), Physical Activity and Health (3 papers), Folate and B Vitamins Research (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (547 citations), Endocrine and Autonomic Systems (138 citations), Genetics (535 citations), Rheumatology (262 citations) and Endocrinology, Diabetes and Metabolism (226 citations). John C. Chambers has collaborated with scholars based in United Kingdom, Singapore and United States. Frequent co-authors include Jaspal S. Kooner, Paul Elliott, Delilah Zabaneh, William J. McKenna, Srijita Sen‐Chowdhry, Jaspal S. Kooner, Dorian O. Haskard, David J. Balding, Marie Loh and Robert D. Morgan. Their work appears in journals such as Heart, PLoS ONE, International Journal of Epidemiology, Nature Genetics and International Journal of Obesity.

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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