Tom Jefferson

1.4k citations
34 papers · 979 · h-index 13

Impact in

    • COVID-19 epidemiological studies
    • Influenza Virus Research Studies
    • Respiratory viral infections research
    • Pneumonia and Respiratory Infections

Papers in

Tom Jefferson

33 papers receiving 928 citations

Peers

Tom Jefferson
Comparison fields: 5 of 133
  • Modeling and Simulation 121
  • Epidemiology 495
  • Health 103
  • Infectious Diseases 138
  • Emergency Medical Services 40
Replace B. H. Heng with:
B. H. Heng Singapore
Meileen Acosta United States
Devan Hawkins United States
Michael Fasher Australia
Edoardo Colzani Sweden
Effie Gournis Canada
Brian M. Davis United States
Sreekumaran Nair India
Rachael M. Porter United States
Atul Kotwal India
Tom Jefferson relative to B. H. Heng Singapore B. H. Heng's profile →
Citations per field
00.5×3.4×
B. H. Heng · 1×
Citations per year

Countries citing papers authored by Tom Jefferson

Since Specialization
Citations

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

Fields of papers citing papers by Tom Jefferson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007222
2 2000167
3 2005149
4 2000104
5
Elementary Economic Evaluation in Health Care
200072
6 201762
7 199636
8 199934
9 200618
10 202217
11 200914
12 200513
13 201212
14 19898
15 20057
16 19996
17 20055
18
[Evidence-based emergency pathways for patients with acute coronary syndrome].
20055
19 20093
20 19993

About Tom Jefferson

Tom Jefferson is a scholar working on Epidemiology, General Health Professions, Infectious Diseases, Occupational Therapy and Health, having authored 34 papers that have together received 979 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (9 papers), Respiratory viral infections research (6 papers), Pneumonia and Respiratory Infections (4 papers), Occupational Health and Performance (3 papers), Vaccine Coverage and Hesitancy (3 papers), Emergency and Acute Care Studies (2 papers), Health and Conflict Studies (2 papers) and Asthma and respiratory diseases (2 papers). The work is most often cited by research in Modeling and Simulation (121 citations), Epidemiology (495 citations), Health (103 citations), Infectious Diseases (138 citations) and Emergency Medical Services (40 citations). Tom Jefferson has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Vittorio Demicheli, Hershel Jick, Pavel Napalkov, Miranda Mugford, Christoph Meier, Alessandro Rivetti, Eliana Ferroni, Carlo Di Pietrantonj, Stephanie Smith and BH Rowe. Their work appears in journals such as The Lancet, JAMA, Australasian Journal of Paramedicine, Cochrane Database of Systematic Reviews and BMJ Open.

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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