Colin Sumners

281 papers receiving 10.2k citations

Peers

Colin Sumners
Comparison fields: 5 of 132
  • Cardiology and Cardiovascular Medicine 5.1k
  • Behavioral Neuroscience 528
  • Endocrine and Autonomic Systems 803
  • Endocrinology, Diabetes and Metabolism 1.9k
  • Cellular and Molecular Neuroscience 2.1k
Replace Joseph W. Harding with:
Joseph W. Harding United States
Juan M. Saavedra United States
Robin L. Davisson United States
Natália Alenina Germany
Andrew M. Allen Australia
Robert C. Speth United States
Sue P. Duckles United States
Siew Yeen Chai Australia
Samuel H.H. Chan Taiwan
Kiyoshi Matsumura Japan
Colin Sumners relative to Joseph W. Harding United States Joseph W. Harding's profile →
Citations per field
00.5×4.7×
Joseph W. Harding · 1×
Citations per year

Countries citing papers authored by Colin Sumners

Since Specialization
Citations

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

Fields of papers citing papers by Colin Sumners

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 281 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010320
2 1991215
3 1998208
4 1993181
5 1991172
6 1996162
7 2011157
8 2009147
9 2000139
10 1994117
11 1997115
12 2013111
13 2002110
14 2019108
15 1995107
16 1993104
17 200599
18 201993
19 198490
20 201488

About Colin Sumners

Colin Sumners is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism and Physiology, having authored 281 papers that have together received 10.4k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (133 papers), Renin-Angiotensin System Studies (132 papers), Hormonal Regulation and Hypertension (36 papers), Neuropeptides and Animal Physiology (35 papers), Neuroendocrine regulation and behavior (26 papers), Neuroscience and Neuropharmacology Research (25 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (22 papers) and Ion channel regulation and function (20 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (5.1k citations), Behavioral Neuroscience (528 citations), Endocrine and Autonomic Systems (803 citations), Endocrinology, Diabetes and Metabolism (1.9k citations) and Cellular and Molecular Neuroscience (2.1k citations). Colin Sumners has collaborated with scholars based in United States, Denmark and China. Frequent co-authors include Mohan K. Raizada, Elaine M. Richards, Philip Posner, M. Ian Phillips, Craig H. Gelband, Fulton T. Crews, Michael J. Katovich, U. Muscha Steckelings, L. Judson Chandler and Jian Kang. Their work appears in journals such as Hypertension, American Journal of Physiology-Cell Physiology, Journal of Neurochemistry, Brain Research and The FASEB Journal.

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.

Explore authors with similar magnitude of impact