Stephen H.M. Brown

8.9k citations
189 papers · 6.9k · h-index 43

Impact in

Papers in

Stephen H.M. Brown

184 papers receiving 6.7k citations

Peers

Stephen H.M. Brown
Comparison fields: 5 of 169
  • Biotechnology 1.5k
  • Pharmacology 1.7k
  • Orthopedics and Sports Medicine 836
  • Physical Therapy, Sports Therapy and Rehabilitation 309
  • Plant Science 1.9k
Replace Toshiaki Nakajima with:
Toshiaki Nakajima Japan
Seung Bum Park South Korea
James A. Miller United States
Masayoshi Yamaguchi Japan
Savita Khanna United States
Michael Vogt Germany
Yuki Fujita Japan
Jian Xiao China
Shufang Wang China
Masahiro Kaneko Japan
Stephen H.M. Brown relative to Toshiaki Nakajima Japan Toshiaki Nakajima's profile →
Citations per field
00.5×10×20×27.9×
Toshiaki Nakajima · 1×
Citations per year

Countries citing papers authored by Stephen H.M. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Stephen H.M. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen H.M. Brown. 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 Stephen H.M. Brown. The network helps show where Stephen H.M. Brown may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 189 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996468
2 2005360
3 1998274
4 1996273
5 1998218
6 1997203
7 2003170
8 2000166
9 2006164
10 2013163
11 1999159
12 1990140
13 1996132
14 1993132
15 1999123
16 2006122
17 2000121
18 1990103
19 199386
20 200685

About Stephen H.M. Brown

Stephen H.M. Brown is a scholar working on Pharmacology, Biomedical Engineering, Orthopedics and Sports Medicine, Molecular Biology and Cognitive Neuroscience, having authored 189 papers that have together received 6.9k indexed citations. Recurring topics across this work include Musculoskeletal pain and rehabilitation (86 papers), Muscle activation and electromyography studies (47 papers), Motor Control and Adaptation (30 papers), Balance, Gait, and Falls Prevention (23 papers), Spine and Intervertebral Disc Pathology (20 papers), Sports injuries and prevention (18 papers), Myofascial pain diagnosis and treatment (18 papers) and Scoliosis diagnosis and treatment (15 papers). The work is most often cited by research in Biotechnology (1.5k citations), Pharmacology (1.7k citations), Orthopedics and Sports Medicine (836 citations), Physical Therapy, Sports Therapy and Rehabilitation (309 citations) and Plant Science (1.9k citations). Stephen H.M. Brown has collaborated with scholars based in Canada, United States and Denmark. Frequent co-authors include Stuart M. McGill, Robert M. Kelly, Jim R. Potvin, Shahriar Mobashery, Rafael Fridman, Feng Xu, Edward I. Solomon, Jill A. Wahleithner, Debbie Yaver and Francisco J. Vera-García. Their work appears in journals such as Journal of Biomechanics, Journal of Electromyography and Kinesiology, Human Movement Science, Spine and Applied and Environmental Microbiology.

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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