Tom Yates

984 citations
53 papers · 693 · h-index 14

Impact in

Papers in

    • Tuberculosis Research and Epidemiology 31
    • HIV/AIDS Research and Interventions 2
    • Migration, Racism, and Human Rights 3

Tom Yates

44 papers receiving 682 citations

Peers

Tom Yates
Comparison fields: 5 of 73
  • Infectious Diseases 426
  • Pulmonary and Respiratory Medicine 99
  • Applied Microbiology and Biotechnology 7
  • Statistics and Probability 30
  • Family Practice 4
Replace Anna Crepet with:
Anna Crepet United Kingdom
Alexis Sentís Spain
Christopher Akolo United States
Franziska Schoeni‐Affolter Switzerland
Peter D O Davies United Kingdom
Kamila Romanowski Canada
Núria Nadal Spain
I. D. Rusen United States
Eileen T. Nelson United States
Madeleine Oliver United Kingdom
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Citations per field
00.5×2×4×6×8.7×
Anna Crepet · 1×
Citations per year

Countries citing papers authored by Tom Yates

Since Specialization
Citations

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

Fields of papers citing papers by Tom Yates

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016151
2 201865
3 201464
4 201748
5 202342
6 202031
7 201525
8 201721
9 201921
10 201620
11 202117
12 202415
13 201714
14 201814
15 202314
16 202213
17 202112
18 202011
19 202111
20 202211

About Tom Yates

Tom Yates is a scholar working on Infectious Diseases, Health, Pharmacology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 53 papers that have together received 693 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (31 papers), Infection Control and Ventilation (4 papers), Migration, Racism, and Human Rights (3 papers), Pharmaceutical industry and healthcare (3 papers), Cytomegalovirus and herpesvirus research (2 papers), HIV/AIDS Research and Interventions (2 papers), Genetic Associations and Epidemiology (2 papers) and Healthcare Operations and Scheduling Optimization (1 paper). The work is most often cited by research in Infectious Diseases (426 citations), Pulmonary and Respiratory Medicine (99 citations), Applied Microbiology and Biotechnology (7 citations), Statistics and Probability (30 citations) and Family Practice (4 citations). Tom Yates has collaborated with scholars based in United Kingdom, South Africa and United States. Frequent co-authors include Ibrahim Abubakar, Richard Guy White, David Moore, Palwasha Yousafzai Khan, Jonathon Taylor, Marc C.I. Lipman, Finbarr P. Leacy, Sian Floyd, Ted Cohen and Timothy Daniel McHugh. Their work appears in journals such as The Lancet Infectious Diseases, The International Journal of Tuberculosis and Lung Disease, The Journal of Infectious Diseases, QJM and BMJ.

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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