Daniel A. Traylor

29 papers receiving 657 citations

Peers

Daniel A. Traylor
Comparison fields: 5 of 72
  • Orthopedics and Sports Medicine 295
  • Complementary and alternative medicine 227
  • Cell Biology 259
  • Physiology 286
  • Rehabilitation 53
Replace Amadeo F. Salvador with:
Amadeo F. Salvador United States
Erica J. Roelofs United States
Sara Y. Oikawa Canada
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Citations per year

Countries citing papers authored by Daniel A. Traylor

Since Specialization
Citations

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

Fields of papers citing papers by Daniel A. Traylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018166
2 2018103
3 201355
4 201346
5 201240
6 201232
7 201224
8 201224
9 201422
10 201321
11 201320
12 201218
13
A multicenter study to evaluate a novel assay for quantitation of soluble interleukin 2 receptor in renal transplant recipients.
199215
14 201214
15 201813
16 201212
17 201210
18 20138
19 20217
20 20135

About Daniel A. Traylor

Daniel A. Traylor is a scholar working on Orthopedics and Sports Medicine, Complementary and alternative medicine, Cell Biology, Biomedical Engineering and Rehabilitation, having authored 31 papers that have together received 682 indexed citations. Recurring topics across this work include Sports Performance and Training (19 papers), Cardiovascular and exercise physiology (14 papers), Muscle metabolism and nutrition (12 papers), Muscle activation and electromyography studies (9 papers), Exercise and Physiological Responses (8 papers), Sports injuries and prevention (3 papers), Diet and metabolism studies (3 papers) and Liver Diseases and Immunity (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (295 citations), Complementary and alternative medicine (227 citations), Cell Biology (259 citations), Physiology (286 citations) and Rehabilitation (53 citations). Daniel A. Traylor has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Stuart M. Phillips, Stefan H. M. Gorissen, Haley C. Bergstrom, Glen O. Johnson, Terry J. Housh, Jorge M. Zuñiga, Clayton L. Camic, Richard J. Schmidt, Peter J.M. Weijs and Robert W. Morton. Their work appears in journals such as Applied Physiology Nutrition and Metabolism, The Journal of Strength and Conditioning Research, Journal of Electromyography and Kinesiology, Nutrients and Journal of the International Society of Sports Nutrition.

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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