Keith Burling

61 papers receiving 1.6k citations

Peers

Keith Burling
Comparison fields: 5 of 121
  • Endocrine and Autonomic Systems 119
  • Physiology 416
  • Orthopedics and Sports Medicine 117
  • Epidemiology 391
  • Endocrinology, Diabetes and Metabolism 184
Replace Anthony R. J. Phillips with:
Anthony R. J. Phillips New Zealand
Michael Horn Germany
Yoshihisa Yamada Japan
Angelo Minucci Italy
Rene Costello United States
Clinton H. Joiner United States
Rowan Hardy United Kingdom
H Abe Japan
Barbara Altieri Germany
Makoto Hosono Japan
Keith Burling relative to Anthony R. J. Phillips New Zealand Anthony R. J. Phillips's profile →
Citations per field
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Anthony R. J. Phillips · 1×
Citations per year

Countries citing papers authored by Keith Burling

Since Specialization
Citations

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

Fields of papers citing papers by Keith Burling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007175
2 201494
3 201887
4 200784
5 200671
6 202170
7 200569
8 200868
9 201664
10 200863
11 201754
12 201846
13 201244
14 201244
15 201742
16 200840
17 201735
18 201234
19 201531
20 200828

About Keith Burling

Keith Burling is a scholar working on Surgery, Molecular Biology, Physiology, Endocrinology, Diabetes and Metabolism and Epidemiology, having authored 65 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (9 papers), Adipokines, Inflammation, and Metabolic Diseases (8 papers), Adipose Tissue and Metabolism (8 papers), Diabetes and associated disorders (7 papers), Diabetes Management and Research (6 papers), HIV/AIDS drug development and treatment (5 papers), Retinoids in leukemia and cellular processes (4 papers) and Prostate Cancer Treatment and Research (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (119 citations), Physiology (416 citations), Orthopedics and Sports Medicine (117 citations), Epidemiology (391 citations) and Endocrinology, Diabetes and Metabolism (184 citations). Keith Burling has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Tim D. Spector, J. Brent Richards, Ursula Perks, Ana M. Valdes, Stephen O’Rahilly, Robert K. Semple, Maria A. Soos, Antonio Vidal‐Puig, Phillip Görden and Elaine Cochran. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes, Diabetic Medicine, Diabetes Care and Antiviral Therapy.

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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