Mark T. Dillon

1.6k citations
44 papers · 1.1k indexed · h-index 18

Mark T. Dillon

40 papers receiving 1.1k citations

Peers

Mark T. Dillon
Comparison fields: 5 of 60
  • Surgery 1.1k
  • Internal Medicine 70
  • Epidemiology 569
  • Rehabilitation 101
  • Anesthesiology and Pain Medicine 39
Replace Philipp R. Heuberer with:
Philipp R. Heuberer Austria
Mitchell R. Klement United States
Derek J. Cuff United States
Patrick Henry Canada
Ángel Antonio Martı́nez Spain
Jason E. Hsu United States
Mark J. Gage United States
Sarah E. Greenberg United States
Molly A. Moor United States
Cesar S. Molina United States
Mark T. Dillon relative to Philipp R. Heuberer Austria Philipp R. Heuberer's profile →
Citations per field
00.5×5.6×
Philipp R. Heuberer · 1×
Citations per year

Countries citing papers authored by Mark T. Dillon

Since Specialization
Citations

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

Fields of papers citing papers by Mark T. Dillon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20231
3 20212
4 20217
5 20217
6 20215
7 202024
8 20191
9 201975
10 201923
11 20193
12 201948
13 201863
14 201757
15 201474
16 201412
17 2014167
18 201381
19 201043
20 20094

About Mark T. Dillon

Mark T. Dillon is a scholar working on Surgery, Rehabilitation, Epidemiology, Internal Medicine and Anesthesiology and Pain Medicine, having authored 44 papers that have together received 1.1k indexed citations. Recurring topics across this work include Shoulder Injury and Treatment (32 papers), Shoulder and Clavicle Injuries (22 papers), Orthopedic Surgery and Rehabilitation (13 papers), Elbow and Forearm Trauma Treatment (6 papers), Nerve Injury and Rehabilitation (5 papers), Cardiac Valve Diseases and Treatments (4 papers), Orthopedic Infections and Treatments (4 papers) and Surgical site infection prevention (3 papers). The work is most often cited by research in Surgery (1.1k citations), Internal Medicine (70 citations), Epidemiology (569 citations), Rehabilitation (101 citations) and Anesthesiology and Pain Medicine (39 citations). Mark T. Dillon has collaborated with scholars based in United States, Australia and Afghanistan. Frequent co-authors include Ronald A. Navarro, Edward H. Yian, Anshuman Singh, Maria C. Inacio, Priscilla H. Chan, Heather A. Prentice, Elizabeth W. Paxton, Michael Beckett, Jeffrey C. King and Matthew Bollier. Their work appears in journals such as Journal of Shoulder and Elbow Surgery, Hand, Journal of the American Academy of Orthopaedic Surgeons, Journal of Pediatric Orthopaedics and Clinical Orthopaedics and Related Research.

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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