Gabriel S. Trajano

3.4k citations
81 papers · 2.1k indexed · 2 hit papers · h-index 26

Gabriel S. Trajano

76 papers receiving 2.1k citations

Hit Papers

Resistance Training Load Effects on Muscle Hypertrophy an...1742018202620202023100200300

Peers

Gabriel S. Trajano
Comparison fields: 5 of 94
  • Orthopedics and Sports Medicine 1.3k
  • Complementary and alternative medicine 292
  • Rehabilitation 186
  • Physical Therapy, Sports Therapy and Rehabilitation 97
  • Biomedical Engineering 925
Replace Trent J. Herda with:
Trent J. Herda United States
Marc Jubeau France
Vesa Linnamo Finland
Jakob Škarabot United Kingdom
Neale A. Tillin United Kingdom
Saied Jalal Aboodarda Canada
Nicola A. Maffiuletti Switzerland
David W. Russ United States
Duane C. Button Canada
Arnaud Guével France
Gabriel S. Trajano relative to Trent J. Herda United States Trent J. Herda's profile →
Citations per field
00.5×
Trent J. Herda · 1×
Citations per year

Countries citing papers authored by Gabriel S. Trajano

Since Specialization
Citations

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

Fields of papers citing papers by Gabriel S. Trajano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gabriel S. Trajano. 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 Gabriel S. Trajano. The network helps show where Gabriel S. Trajano may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20244
2 20241
3 202347
4 202326
5 20231
6 202228
7 20229
8 202220
9 202216
10 20217
11 20214
12 20218
13 202140
14 202135
15 20213
16 202113
17
Resistance Training Load Effects on Muscle Hypertrophy and Strength Gain: Systematic Review and Network Meta-analysisbreakdown →
2020174
18 20201
19 202027
20 20202

About Gabriel S. Trajano

Gabriel S. Trajano is a scholar working on Orthopedics and Sports Medicine, Neurology and Rehabilitation, having authored 81 papers that have together received 2.1k indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (45 papers), Sports injuries and prevention (42 papers), Sports Performance and Training (29 papers), Transcranial Magnetic Stimulation Studies (11 papers), Musculoskeletal pain and rehabilitation (8 papers), Cardiovascular and exercise physiology (7 papers), Spinal Cord Injury Research (7 papers) and Motor Control and Adaptation (6 papers). The work is most often cited by research in Orthopedics and Sports Medicine (1.3k citations), Complementary and alternative medicine (292 citations) and Rehabilitation (186 citations). Gabriel S. Trajano has collaborated with scholars based in Australia, Brazil and United States. Frequent co-authors include Anthony J. Blazevich, Laurent B. Seitz, Kazunori Nosaka, Lucas B. R. Orssatto, Taian Vieira, Israel Halperin, Andrew D. Vigotsky, Gregory J Lehman, Anthony Shield and Belmiro Freitas de Salles. Their work appears in journals such as PLoS ONE, The Journal of Physiology and Journal of Neurophysiology.

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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