Tom Quinn

8.7k citations
175 papers · 3.8k indexed · 2 hit papers · h-index 33

Tom Quinn

163 papers receiving 3.7k citations

Hit Papers

No Surgical Innovation Without Evaluation2302014202620182022100200300

Peers

Tom Quinn
Comparison fields: 5 of 169
  • Emergency Medicine 1.2k
  • Instrumentation 404
  • Astronomy and Astrophysics 1.0k
  • Health Information Management 119
  • Internal Medicine 96
Replace David H. Berger with:
David H. Berger United States
Thomas Rimmelé United States
Michael Taylor United States
Anthony J. Dean United States
Andrew M. Smith United Kingdom
J. P. McMullin United States
Teresa A. Williams Australia
P. Choi United Kingdom
F. Lefèvre United States
Alexandru Burlacu Romania
Tom Quinn relative to David H. Berger United States David H. Berger's profile →
Citations per field
00.5×4.4×
David H. Berger · 1×
Citations per year

Countries citing papers authored by Tom Quinn

Since Specialization
Citations

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

Fields of papers citing papers by Tom Quinn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20252
3 20251
4 20242
5 20236
6 202310
7 20225
8 20228
9 20218
10 201934
11 201811
12 20182
13 20173
14 20177
15 20179
16 201751
17 2014165
18
Developing an education framework for stroke.
20136
19
Acute cardiac care : a practical guide for nurses
20106
20
Acute Myocardial Infarction. A core dataset for monitoring standards of care
19996

About Tom Quinn

Tom Quinn is a scholar working on Emergency Medicine, Cardiology and Cardiovascular Medicine, Instrumentation, Critical Care and Intensive Care Medicine and Internal Medicine, having authored 175 papers that have together received 3.8k indexed citations. Recurring topics across this work include Cardiac Arrest and Resuscitation (65 papers), Acute Myocardial Infarction Research (34 papers), Emergency and Acute Care Studies (29 papers), Trauma and Emergency Care Studies (23 papers), Acute Ischemic Stroke Management (17 papers), Cardiac, Anesthesia and Surgical Outcomes (14 papers), Mechanical Circulatory Support Devices (13 papers) and Galaxies: Formation, Evolution, Phenomena (12 papers). The work is most often cited by research in Emergency Medicine (1.2k citations), Instrumentation (404 citations), Astronomy and Astrophysics (1.0k citations), Health Information Management (119 citations) and Internal Medicine (96 citations). Tom Quinn has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Fabio Governato, Gavin D. Perkins, Alyson Brooks, Charles D. Deakin, Simon Gates, Adi Zolotov, Beth Willman, Ranjit Lall, Juan B Cabello and Amanda Burls. Their work appears in journals such as Emergency Medicine Journal, Resuscitation, The Astrophysical Journal, BMJ Open and Intensive and Critical Care Nursing.

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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