N A King

16 papers receiving 1.5k citations

Peers

N A King
Comparison fields: 5 of 76
  • Endocrine and Autonomic Systems 482
  • Physiology 582
  • Clinical Psychology 384
  • Public Health, Environmental and Occupational Health 405
  • Endocrinology, Diabetes and Metabolism 237
Replace Phillipa Caudwell with:
Phillipa Caudwell United Kingdom
Cátia Martins Norway
Paul Fuss United States
Radhika V. Seimon Australia
Todd Hagobian United States
J-P Després Canada
Cheryl H. Gilhooly United States
Katrina Purcell Australia
FX Pi-Sunyer United States
Elizabeth Delbridge Australia
N A King relative to Phillipa Caudwell United Kingdom Phillipa Caudwell's profile →
Citations per field
00.5×4.2×
Phillipa Caudwell · 1×
Citations per year

Countries citing papers authored by N A King

Since Specialization
Citations

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

Fields of papers citing papers by N A King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N A King. 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 N A King. The network helps show where N A King may publish in the future.

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 1999367
2 2010181
3 2011135
4 2002120
5 1998119
6 199898
7 200996
8
High-fat foods overcome the energy expenditure induced by high-intensity cycling or running.
199593
9
Effects of short-term exercise on appetite responses in unrestrained females.
199683
10 200666
11
The fat paradox: fat-induced satiety signals versus high fat overconsumption.
199557
12 201633
13 199819
14 200218
15 200215
16 20049

About N A King

N A King is a scholar working on Endocrine and Autonomic Systems, Public Health, Environmental and Occupational Health, Physiology, Clinical Psychology and Endocrinology, Diabetes and Metabolism, having authored 16 papers that have together received 1.5k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (5 papers), Obesity, Physical Activity, Diet (5 papers), Diet and metabolism studies (4 papers), Eating Disorders and Behaviors (3 papers), Diabetes Treatment and Management (2 papers), Muscle metabolism and nutrition (1 paper), Bariatric Surgery and Outcomes (1 paper) and Dietary Effects on Health (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (482 citations), Physiology (582 citations), Clinical Psychology (384 citations), Public Health, Environmental and Occupational Health (405 citations) and Endocrinology, Diabetes and Metabolism (237 citations). N A King has collaborated with scholars based in United Kingdom, Australia and Sweden. Frequent co-authors include John E. Blundell, Jens J. Holst, Erik Näslund, Britta Barkeling, R. James Stubbs, Cátia Martins, M. Gutniak, Per M. Hellström, S Rössner and Pascale Hubert. Their work appears in journals such as International Journal of Obesity, British Journal Of Nutrition, British Journal of Sports Medicine, European Journal of Clinical Nutrition and The Journal of Clinical Endocrinology & Metabolism.

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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