Gregory M. Sutton

2.9k citations
24 papers · 1.7k indexed · h-index 18

Impact in

Papers in

Gregory M. Sutton

23 papers receiving 1.7k citations

Peers

Gregory M. Sutton
Comparison fields: 5 of 85
  • Endocrine and Autonomic Systems 1.0k
  • Nutrition and Dietetics 569
  • Physiology 789
  • Aging 31
  • Cognitive Neuroscience 180
Replace Cláudia R. Vianna with:
Cláudia R. Vianna United States
Anne Lorsignol France
Elana Henning United Kingdom
Jennifer A. Gillette United States
A. Christine Könner Germany
Clémence Blouet United Kingdom
L.A.W. Verhagen Netherlands
Tamara R. Castañeda United States
April D. Strader United States
Ruth Janoschek Germany
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Citations per field
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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 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008382
2 2007177
3 2005121
4 2006115
5 2008109
6 2006102
7 200599
8 200788
9 200884
10 200972
11 200471
12 201062
13 200941
14 200740
15 200932
16 201032
17 201123
18 200718
19 200917
20 201116

About Gregory M. Sutton

Gregory M. Sutton is a scholar working on Endocrine and Autonomic Systems, Nutrition and Dietetics, Aging, Physiology and Behavioral Neuroscience, having authored 24 papers that have together received 1.7k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (14 papers), Biochemical Analysis and Sensing Techniques (9 papers), Circadian rhythm and melatonin (8 papers), Dietary Effects on Health (6 papers), Adipose Tissue and Metabolism (5 papers), Sleep and Wakefulness Research (4 papers), Diet and metabolism studies (3 papers) and Neuroscience of respiration and sleep (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.0k citations), Nutrition and Dietetics (569 citations), Physiology (789 citations), Aging (31 citations) and Cognitive Neuroscience (180 citations). Gregory M. Sutton has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Andrew A. Butler, Hans‐Rudolf Berthoud, Laurel M. Patterson, Huiyuan Zheng, James L. Trevaskis, Jeffrey M. Gimble, Lora K. Heisler, Daniel D. Lam, Michael D. Culler and Pamela M. Rogers. Their work appears in journals such as Endocrinology, Journal of Neuroscience, Cell Metabolism, Peptides 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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