John R. Speakman

622 papers receiving 29.6k citations

Hit Papers

Risk of metabolic abnormalities in osteoarthritis: a new perspective to understand its pathological mechanisms 2023 · 85 citations
852004202620112018200400600

Peers

John R. Speakman
Comparison fields: 5 of 209
  • Aging 2.2k
  • Endocrine and Autonomic Systems 3.8k
  • Ecology, Evolution, Behavior and Systematics 8.9k
  • Ecology 10.9k
  • Physiology 10.3k
Replace David Raubenheimer with:
David Raubenheimer Australia
Stephen J. Simpson Australia
Serge Daan Netherlands
Pat Monaghan United Kingdom
Theodore Garland United States
Mark J. Daly United States
Robert M. Sapolsky United States
Gonçalo R. Abecasis United States
Neil B. Metcalfe United Kingdom
Randy J. Nelson United States
John R. Speakman relative to David Raubenheimer Australia David Raubenheimer's profile →
Citations per field
00.5×4.0×
David Raubenheimer · 1×
Citations per year

Countries citing papers authored by John R. Speakman

Since Specialization
Citations

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

Fields of papers citing papers by John R. Speakman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John R. Speakman. 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 John R. Speakman. The network helps show where John R. Speakman may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202411
3 202426
4 20233
5 202216
6 20218
7 202112
8 20217
9 20218
10 20205
11 20209
12 201873
13 201733
14 201635
15 201472
16 2013187
17 201084
18 200830
19
Energetics of biosonar in stationary insectivorous bats
20002
20
How should we calculate CO2 production in doubly labelled water studies of animals
199390

About John R. Speakman

John R. Speakman is a scholar working on Aging, Endocrine and Autonomic Systems, Physiology, Ecology, Evolution, Behavior and Systematics and Ecology, having authored 635 papers that have together received 30.6k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (167 papers), Bat Biology and Ecology Studies (134 papers), Physiological and biochemical adaptations (132 papers), Diet and metabolism studies (78 papers), Regulation of Appetite and Obesity (75 papers), Animal Behavior and Reproduction (58 papers), Dietary Effects on Health (48 papers) and Avian ecology and behavior (47 papers). The work is most often cited by research in Aging (2.2k citations), Endocrine and Autonomic Systems (3.8k citations), Ecology, Evolution, Behavior and Systematics (8.9k citations), Ecology (10.9k citations) and Physiology (10.3k citations). John R. Speakman has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Elżbieta Król, Colin Selman, Paul A. Racey, Sharon E. Mitchell, Catherine Hambly, Maria S. Johnson, P. I. Webb, Jane S. McLaren, Donald W. Thomas and Murray M. Humphries. Their work appears in journals such as Journal of Experimental Biology, Functional Ecology, Journal of Zoology, Journal of Comparative Physiology B and 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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