Dan Ogborn

3.0k citations
22 papers · 2.0k · 3 hit papers · h-index 14

Impact in

Papers in

Dan Ogborn

20 papers receiving 2.0k citations

Dan Ogborn's Hit Papers

Strength and Hypertrophy Adaptations Between Low- vs. High-Load Resistance Training: A Systematic Review and Meta-analysis 2017 · 520 citations
5200+3+7Years since publication100200300400500

Peers

Dan Ogborn
Comparison fields: 5 of 98
  • Orthopedics and Sports Medicine 1.3k
  • Complementary and alternative medicine 612
  • Rehabilitation 199
  • Cell Biology 369
  • Physiology 398
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Ilias Smilios Greece
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Citations per year

Countries citing papers authored by Dan Ogborn

Since Specialization
Citations

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

Fields of papers citing papers by Dan Ogborn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Strength and Hypertrophy Adaptations Between Low- vs. High-Load Resistance Training: A Systematic Review and Meta-analysis
Hit paper breakdown →
2017520
2
Dose-response relationship between weekly resistance training volume and increases in muscle mass: A systematic review and meta-analysis
Hit paper breakdown →
2016444
3
Effects of Low- vs. High-Load Resistance Training on Muscle Strength and Hypertrophy in Well-Trained Men
Hit paper breakdown →
2015306
4 2016202
5 2013121
6 2015111
7 201777
8 201437
9 201536
10 202130
11 202127
12 201626
13 201418
14 201614
15 20237
16 20225
17 20215
18 20234
19 20202
20 20241

About Dan Ogborn

Dan Ogborn is a scholar working on Orthopedics and Sports Medicine, Surgery, Complementary and alternative medicine, Biomedical Engineering and Cell Biology, having authored 22 papers that have together received 2.0k indexed citations. Recurring topics across this work include Sports injuries and prevention (12 papers), Sports Performance and Training (10 papers), Cardiovascular and exercise physiology (7 papers), Muscle activation and electromyography studies (5 papers), Knee injuries and reconstruction techniques (4 papers), Muscle metabolism and nutrition (3 papers), Tendon Structure and Treatment (2 papers) and Cardiovascular Effects of Exercise (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (1.3k citations), Complementary and alternative medicine (612 citations), Rehabilitation (199 citations), Cell Biology (369 citations) and Physiology (398 citations). Dan Ogborn has collaborated with scholars based in Canada, United States and New Zealand. Frequent co-authors include Brad J. Schöenfeld, JAMES KRIEGER, Jozo Grgić, Bret Contreras, Mark D. Peterson, Gül Sönmez, Andrew D. Vigotsky, Mark A. Tarnopolsky, Lauren MacNeil and Martino V. Franchi. Their work appears in journals such as The Journal of Strength and Conditioning Research, Knee Surgery Sports Traumatology Arthroscopy, Sports Medicine, Strength and conditioning journal and Aging Cell.

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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