Benjamin T. Brown

46 papers receiving 644 citations

Peers

Benjamin T. Brown
Comparison fields: 5 of 89
  • Pharmacology 253
  • Medical Laboratory Technology 11
  • Occupational Therapy 24
  • Pathology and Forensic Medicine 68
  • Psychiatry and Mental health 41
Replace Alessandra N. Garcia with:
Alessandra N. Garcia United States
Dévan Rajendran United Kingdom
Eva Schönstein Australia
Nathan Hutting Netherlands
Adri T. Apeldoorn Netherlands
Amanda Ferland China
Sharanya Varatharajan Canada
Jacqueline H. Gracey United Kingdom
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Marco Campello United States
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Citations per year

Countries citing papers authored by Benjamin T. Brown

Since Specialization
Citations

This map shows the geographic impact of Benjamin T. 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 Benjamin T. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin T. Brown more than expected).

Fields of papers citing papers by Benjamin T. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin T. 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 Benjamin T. Brown. The network helps show where Benjamin T. Brown may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019133
2 2017125
3 202046
4 201134
5 201632
6 201527
7 201425
8 201420
9 202017
10 202117
11 202215
12 201715
13 201714
14 202014
15 201614
16 200510
17 20209
18 20109
19 20229
20 20199

About Benjamin T. Brown

Benjamin T. Brown is a scholar working on Pharmacology, Surgery, General Health Professions, Pathology and Forensic Medicine and Occupational Therapy, having authored 51 papers that have together received 675 indexed citations. Recurring topics across this work include Musculoskeletal pain and rehabilitation (14 papers), Scoliosis diagnosis and treatment (7 papers), Nursing Roles and Practices (4 papers), Spine and Intervertebral Disc Pathology (4 papers), Thyroid Disorders and Treatments (3 papers), Occupational Health and Performance (3 papers), Complementary and Alternative Medicine Studies (2 papers) and Meta-analysis and systematic reviews (2 papers). The work is most often cited by research in Pharmacology (253 citations), Medical Laboratory Technology (11 citations), Occupational Therapy (24 citations), Pathology and Forensic Medicine (68 citations) and Psychiatry and Mental health (41 citations). Benjamin T. Brown has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Mark J. Hancock, Christopher G. Maher, Tatiane da Silva, Kathryn Mills, Roger Engel, Reidar P. Lystad, Petra L. Graham, Rob Herbert, Tarcisio F de Campos and Natasha C Pocovi. Their work appears in journals such as Chiropractic & Manual Therapies, Journal of Manipulative and Physiological Therapeutics, The Spine Journal, BMC Medical Research Methodology and Journal of Chiropractic Medicine.

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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