Daniel P. Longman

22 papers receiving 324 citations

Peers

Daniel P. Longman
Comparison fields: 5 of 81
  • Orthopedics and Sports Medicine 69
  • Experimental and Cognitive Psychology 46
  • Cell Biology 47
  • Physiology 67
  • Genetics 70
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Brad Clark Australia
Heather C. M. Allaway United States
Alan P. Jung United States
Adrien Marck France
Richard S. Metcalfe United Kingdom
Charumathi Baskaran United States
Rudolf F. Vollman
Thomas Rostgaard Andersen Denmark
Fernanda Veruska Narciso Brazil
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Citations per year

Countries citing papers authored by Daniel P. Longman

Since Specialization
Citations

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

Fields of papers citing papers by Daniel P. Longman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel P. Longman. 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 Daniel P. Longman. The network helps show where Daniel P. Longman may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel P. Longman, 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 Daniel P. Longman Line = papers co-authored together Daniel P. Longman 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 201164
2 202236
3 201733
4 202029
5 201527
6 201725
7 201817
8 201915
9 202111
10 202311
11 201111
12 202110
13 20237
14 20206
15 20236
16 20226
17 20215
18 20143
19 20223
20 20252

About Daniel P. Longman

Daniel P. Longman is a scholar working on Physiology, Experimental and Cognitive Psychology, Genetics, Orthopedics and Sports Medicine and Health, Toxicology and Mutagenesis, having authored 24 papers that have together received 329 indexed citations. Recurring topics across this work include Evolutionary Psychology and Human Behavior (5 papers), Sports Performance and Training (5 papers), Urban Green Space and Health (4 papers), Muscle metabolism and nutrition (4 papers), Thermoregulation and physiological responses (4 papers), Adipose Tissue and Metabolism (4 papers), Genetics and Physical Performance (3 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (69 citations), Experimental and Cognitive Psychology (46 citations), Cell Biology (47 citations), Physiology (67 citations) and Genetics (70 citations). Daniel P. Longman has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Jay T. Stock, Jonathan C. K. Wells, Eimear Dolan, Meghan K. Shirley, Kirsty J. Elliott‐Sale, Craig Sale, Anthony C. Hackney, Ian D. Stephen, Michael P. Muehlenbein and Eric C. Shattuck. Their work appears in journals such as American Journal of Physical Anthropology, Scientific Reports, Evolutionary Human Sciences, Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology and Biological reviews/Biological reviews of the Cambridge Philosophical Society.

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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