Thomas Kenyon

3.2k citations
46 papers · 1.9k · h-index 22

Impact in

Papers in

Thomas Kenyon

44 papers receiving 1.7k citations

Peers

Thomas Kenyon
Comparison fields: 5 of 141
  • Infectious Diseases 978
  • Modeling and Simulation 116
  • Microbiology 133
  • Epidemiology 563
  • Emergency Medical Services 104
Replace Damon P. Eisen with:
Damon P. Eisen Australia
Jeremiah Chakaya Kenya
William MacLeod United States
Vincenzo Puro Italy
Daniel R. Feikin United States
Donald M. Thea United States
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Citations per field
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Citations per year

Countries citing papers authored by Thomas Kenyon

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Kenyon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996286
2 2014186
3 2009183
4 2016154
5 2005129
6 199684
7 200575
8 200366
9 199764
10 199859
11 200157
12 200154
13
Risk factors for transmission of Mycobacterium tuberculosis from HIV-infected tuberculosis patients, Botswana.
200247
14 200136
15 201635
16 201133
17 200930
18 199628
19 200225
20 200425

About Thomas Kenyon

Thomas Kenyon is a scholar working on Infectious Diseases, Economics and Econometrics, Epidemiology, Accounting and Surgery, having authored 46 papers that have together received 1.9k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (13 papers), Taxation and Compliance Studies (4 papers), Mycobacterium research and diagnosis (4 papers), Fiscal Policy and Economic Growth (3 papers), Diagnosis and treatment of tuberculosis (3 papers), Corporate Taxation and Avoidance (3 papers), Bacterial Infections and Vaccines (2 papers) and Child Nutrition and Water Access (2 papers). The work is most often cited by research in Infectious Diseases (978 citations), Modeling and Simulation (116 citations), Microbiology (133 citations), Epidemiology (563 citations) and Emergency Medical Services (104 citations). Thomas Kenyon has collaborated with scholars based in United States, Botswana and Austria. Frequent co-authors include Ida M. Onorato, Jordan W. Tappero, Sarah E. Valway, Inger K. Damon, Stuart T. Nichol, Beth P. Bell, Walter Ihle, Kenneth G. Castro, Themba Moeti and Thomas R. Frieden. Their work appears in journals such as Clinical Infectious Diseases, PEDIATRICS, New England Journal of Medicine, Infection Control and Hospital Epidemiology and The Pediatric Infectious Disease Journal.

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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