Scott Standfield

30 papers receiving 1.2k citations

Peers

Scott Standfield
Comparison fields: 5 of 87
  • Endocrine and Autonomic Systems 212
  • Endocrinology, Diabetes and Metabolism 433
  • Physiology 582
  • Geriatrics and Gerontology 69
  • Gastroenterology 86
Replace Katie C. Coate with:
Katie C. Coate United States
Koji Komiya Japan
David D’Alessio United States
Jibran A. Wali Australia
S. Lambert-Porcheron France
Anne‐Marie Lundsgaard Denmark
Silke Hornemann Germany
Zdzisław Kochan Poland
Fanchao Yi United States
Pawel Namsolleck Germany
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Citations per field
00.5×10×14.3×
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Citations per year

Countries citing papers authored by Scott Standfield

Since Specialization
Citations

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

Fields of papers citing papers by Scott Standfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012110
2 2015102
3 201492
4 201476
5 201375
6 201374
7 201561
8 200259
9 201756
10 201253
11 201349
12 201544
13 201444
14 201541
15 201540
16 201832
17 199228
18 201327
19 199527
20 200425

About Scott Standfield

Scott Standfield is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology and Clinical Psychology, having authored 30 papers that have together received 1.2k indexed citations. Recurring topics across this work include Diet and metabolism studies (17 papers), Diabetes Treatment and Management (13 papers), Diabetes Management and Research (6 papers), Eating Disorders and Behaviors (5 papers), Pancreatic function and diabetes (3 papers), Diet, Metabolism, and Disease (3 papers), Bariatric Surgery and Outcomes (3 papers) and Muscle metabolism and nutrition (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (212 citations), Endocrinology, Diabetes and Metabolism (433 citations), Physiology (582 citations), Geriatrics and Gerontology (69 citations) and Gastroenterology (86 citations). Scott Standfield has collaborated with scholars based in Australia, Norway and Germany. Frequent co-authors include Michael Horowitz, Karen L. Jones, Christopher K. Rayner, Christine Feinle‐Bisset, Tongzhi Wu, Michelle J. Bound, Natalie D. Luscombe‐Marsh, Tanya J. Little, Judith M. Wishart and Keryn A. Williams. Their work appears in journals such as American Journal of Clinical Nutrition, The Journal of Clinical Endocrinology & Metabolism, Diabetes Obesity and Metabolism, Clinical & Experimental Immunology 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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