Michael Dinh

2.9k citations
136 papers · 1.9k · h-index 24

Impact in

Papers in

Michael Dinh

124 papers receiving 1.9k citations

Peers

Michael Dinh
Comparison fields: 5 of 115
  • Emergency Medicine 738
  • Critical Care and Intensive Care Medicine 96
  • Health Information Management 47
  • General Health Professions 235
  • Clinical Psychology 161
Replace Jeffrey M. Caterino with:
Jeffrey M. Caterino United States
Jonathan P. Duff Canada
Dana Zive United States
León D. Sánchez United States
Nicholas M. Mohr United States
Terri L. Byczkowski United States
Kate Curtis Australia
Gregory W. Hendey United States
Stefan Beckers Germany
Yiqun Lin Canada
Michael Dinh relative to Jeffrey M. Caterino United States Jeffrey M. Caterino's profile →
Citations per field
00.5×4.3×
Jeffrey M. Caterino · 1×
Citations per year

Countries citing papers authored by Michael Dinh

Since Specialization
Citations

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

Fields of papers citing papers by Michael Dinh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 136 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012110
2 2015105
3 2018100
4 201269
5 201561
6 200953
7 201648
8 201836
9 201336
10 201235
11 201633
12 201633
13 201833
14 201033
15 201831
16 201629
17 201228
18 201428
19 201927
20 201427

About Michael Dinh

Michael Dinh is a scholar working on Emergency Medicine, Public Health, Environmental and Occupational Health, Surgery, General Health Professions and Clinical Psychology, having authored 136 papers that have together received 1.9k indexed citations. Recurring topics across this work include Emergency and Acute Care Studies (35 papers), Trauma and Emergency Care Studies (33 papers), Injury Epidemiology and Prevention (5 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (4 papers), Healthcare Decision-Making and Restraints (3 papers), Trauma Management and Diagnosis (3 papers), Substance Abuse Treatment and Outcomes (2 papers) and Electronic Health Records Systems (2 papers). The work is most often cited by research in Emergency Medicine (738 citations), Critical Care and Intensive Care Medicine (96 citations), Health Information Management (47 citations), General Health Professions (235 citations) and Clinical Psychology (161 citations). Michael Dinh has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Kendall J Bein, Rebecca Ivers, Saartje Berendsen Russell, David Muscatello, Matthew Chu, Dane Chalkley, Jeffrey Petchell, Christopher M. Byrne, Kate Curtis and Timothy Wand. Their work appears in journals such as Emergency Medicine Australasia, Injury, Emergency Medicine Journal, BMJ Open and The Medical Journal of Australia.

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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