Tom Abbott

13.0k citations
61 papers · 1.8k · 1 hit paper · h-index 22

Impact in

Papers in

    • Cardiac, Anesthesia and Surgical Outcomes 19
    • Heart rate and cardiovascular health 3
    • Heart Rate Variability and Autonomic Control 3
    • Hemodynamic Monitoring and Therapy 5
    • Surgical site infection prevention 3

Tom Abbott

56 papers receiving 1.7k citations

Tom Abbott's Hit Papers

Age of patients undergoing surgery 2019 · 229 citations
2290+2+4Years since publication50100150200

Peers

Tom Abbott
Comparison fields: 5 of 146
  • Library and Information Sciences 52
  • Cardiology and Cardiovascular Medicine 462
  • Geriatrics and Gerontology 62
  • Critical Care and Intensive Care Medicine 74
  • Anesthesiology and Pain Medicine 59
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Citations per field
00.5×10×13×
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Citations per year

Countries citing papers authored by Tom Abbott

Since Specialization
Citations

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

Fields of papers citing papers by Tom Abbott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003348
2
Age of patients undergoing surgery
Hit paper breakdown →
2019229
3 2017154
4 2017133
5
Standards for Libraries in Higher Education
201190
6 201860
7 201849
8 202148
9 201847
10 201644
11 201141
12 201538
13 201737
14 202134
15 201234
16 202031
17 202226
18 201826
19 201626
20 202122

About Tom Abbott

Tom Abbott is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Oncology, Epidemiology and Molecular Biology, having authored 61 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cardiac, Anesthesia and Surgical Outcomes (19 papers), Hemodynamic Monitoring and Therapy (5 papers), COVID-19 and healthcare impacts (4 papers), Heart rate and cardiovascular health (3 papers), Sepsis Diagnosis and Treatment (3 papers), Surgical site infection prevention (3 papers), Heart Rate Variability and Autonomic Control (3 papers) and Advanced Proteomics Techniques and Applications (2 papers). The work is most often cited by research in Library and Information Sciences (52 citations), Cardiology and Cardiovascular Medicine (462 citations), Geriatrics and Gerontology (62 citations), Critical Care and Intensive Care Medicine (74 citations) and Anesthesiology and Pain Medicine (59 citations). Tom Abbott has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Rupert M. Pearse, Alexander J. Fowler, John R. Prowle, Gareth L. Ackland, Kenneth R. Williams, David C. Ward, Walter J. McMurray, David A. Fishman, Kathryn L. Stone and Gil Mor. Their work appears in journals such as British Journal of Anaesthesia, PLoS ONE, Anaesthesia, European Journal of Anaesthesiology and British journal of surgery.

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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