Gilbert Moatshe

7.7k citations
168 papers · 4.7k indexed · h-index 39

Gilbert Moatshe

156 papers receiving 4.5k citations

Peers

Gilbert Moatshe
Comparison fields: 5 of 118
  • Orthopedics and Sports Medicine 1.8k
  • Surgery 4.2k
  • Rheumatology 487
  • Health Informatics 43
  • Urology 123
Replace Eun Kyoo Song with:
Eun Kyoo Song South Korea
Morgan H. Jones United States
James H. Lubowitz United States
Philippe Beaufils France
Seth L. Sherman United States
Michael Hantes Greece
Riccardo D’Ambrosi Italy
Elvire Servıen France
Annunziato Amendola United States
Padhraig F. O’Loughlin United States
Gilbert Moatshe relative to Eun Kyoo Song South Korea Eun Kyoo Song's profile →
Citations per field
00.5×3.9×
Eun Kyoo Song · 1×
Citations per year

Countries citing papers authored by Gilbert Moatshe

Since Specialization
Citations

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

Fields of papers citing papers by Gilbert Moatshe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
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15 20228
16 202137
17 20202
18 202014
19 20179
20 201760

About Gilbert Moatshe

Gilbert Moatshe is a scholar working on Orthopedics and Sports Medicine, Surgery, Health Informatics, Rheumatology and Rehabilitation, having authored 168 papers that have together received 4.7k indexed citations. Recurring topics across this work include Knee injuries and reconstruction techniques (126 papers), Total Knee Arthroplasty Outcomes (99 papers), Shoulder Injury and Treatment (61 papers), Sports injuries and prevention (57 papers), Lower Extremity Biomechanics and Pathologies (26 papers), Tendon Structure and Treatment (19 papers), Shoulder and Clavicle Injuries (15 papers) and Orthopedic Surgery and Rehabilitation (14 papers). The work is most often cited by research in Orthopedics and Sports Medicine (1.8k citations), Surgery (4.2k citations), Rheumatology (487 citations), Health Informatics (43 citations) and Urology (123 citations). Gilbert Moatshe has collaborated with scholars based in United States, Norway and Canada. Frequent co-authors include Robert F. LaPrade, Jorge Chahla, Mark E. Cinque, Lars Engebretsen, Grant J. Dornan, Nicholas N. DePhillipo, Chase S. Dean, Jonathan A. Godin, Alex W. Brady and Zachary S. Aman. Their work appears in journals such as The American Journal of Sports Medicine, Orthopaedic Journal of Sports Medicine, Arthroscopy The Journal of Arthroscopic and Related Surgery, Knee Surgery Sports Traumatology Arthroscopy and Operative Techniques in Sports 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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