Gregory M. Sutton

3.0k citations
26 papers · 2.5k · h-index 20

Impact in

Papers in

Gregory M. Sutton

26 papers receiving 2.5k citations

Peers

Gregory M. Sutton
Comparison fields: 5 of 88
  • Endocrine and Autonomic Systems 1.5k
  • Nutrition and Dietetics 779
  • Physiology 1.1k
  • Aging 33
  • Behavioral Neuroscience 51
Replace Daisuke Kohno with:
Daisuke Kohno Japan
Syann Lee United States
Elana Henning United Kingdom
Kate L. J. Ellacott United Kingdom
Tamara R. Castañeda United States
Clémence Blouet United Kingdom
Karl J. Kaiyala United States
Bernadette E. Grayson United States
Stephan J. Guyenet United States
Virginie Tolle France
Gregory M. Sutton relative to Daisuke Kohno Japan Daisuke Kohno's profile →
Citations per field
00.5×1.5×
Daisuke Kohno · 1×
Citations per year

Countries citing papers authored by Gregory M. Sutton

Since Specialization
Citations

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

Fields of papers citing papers by Gregory M. Sutton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory M. Sutton. 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 Gregory M. Sutton. The network helps show where Gregory M. Sutton may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008406
2 2006349
3 2007342
4 2007189
5 2005126
6 2006124
7 2008112
8 2006108
9 2005104
10 200892
11 200791
12 200982
13 200474
14 201064
15 200942
16 200742
17 201036
18 200934
19 201124
20 200721

About Gregory M. Sutton

Gregory M. Sutton is a scholar working on Endocrine and Autonomic Systems, Nutrition and Dietetics, Physiology, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 26 papers that have together received 2.5k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (15 papers), Biochemical Analysis and Sensing Techniques (11 papers), Circadian rhythm and melatonin (7 papers), Dietary Effects on Health (5 papers), Adipose Tissue and Metabolism (4 papers), Sleep and Wakefulness Research (4 papers), Diet and metabolism studies (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.5k citations), Nutrition and Dietetics (779 citations), Physiology (1.1k citations), Aging (33 citations) and Behavioral Neuroscience (51 citations). Gregory M. Sutton has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Andrew A. Butler, Laurel M. Patterson, Hans-Rudolf Berthoud, Huiyuan Zheng, James L. Trevaskis, Jeffrey M. Gimble, Daniel D. Lam, Lora K. Heisler, Michael D. Culler and Heather A. Halem. Their work appears in journals such as Endocrinology, Journal of Neuroscience, Peptides, Cell Metabolism and Physiology & Behavior.

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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