Daniel Thomas

90 papers receiving 2.0k citations

Peers

Daniel Thomas
Comparison fields: 5 of 163
  • Microbiology 255
  • Parasitology 246
  • Infectious Diseases 564
  • Modeling and Simulation 104
  • Health, Toxicology and Mutagenesis 250
Replace Olaf Berke with:
Olaf Berke Canada
Ruth Ann Jajosky United States
Cheryl Waldner Canada
Gerard J.B. Sonder Netherlands
Jenny Kremastinou Greece
Marie‐Josée J. Mangen Netherlands
Motoi Suzuki Japan
Deborah A. Adams United States
Paweł Stefanoff Poland
Vicki Krause Australia
Daniel Thomas relative to Olaf Berke Canada Olaf Berke's profile →
Citations per field
00.5×1.7×
Olaf Berke · 1×
Citations per year

Countries citing papers authored by Daniel Thomas

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012305
2 2005157
3 2016114
4 199382
5 200358
6 199556
7 201855
8 201154
9 199952
10 201451
11 199450
12 201447
13 201246
14 200842
15 199338
16 200638
17 200437
18 200735
19 200533
20 201032

About Daniel Thomas

Daniel Thomas is a scholar working on Infectious Diseases, Epidemiology, Public Health, Environmental and Occupational Health, General Health Professions and Physiology, having authored 91 papers that have together received 2.1k indexed citations. Recurring topics across this work include Syphilis Diagnosis and Treatment (12 papers), Viral gastroenteritis research and epidemiology (10 papers), COVID-19 epidemiological studies (10 papers), Influenza Virus Research Studies (8 papers), Reproductive tract infections research (8 papers), Salmonella and Campylobacter epidemiology (6 papers), COVID-19 and healthcare impacts (6 papers) and Vaccine Coverage and Hesitancy (6 papers). The work is most often cited by research in Microbiology (255 citations), Parasitology (246 citations), Infectious Diseases (564 citations), Modeling and Simulation (104 citations) and Health, Toxicology and Mutagenesis (250 citations). Daniel Thomas has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include R Salmon, A. P. Wyn-Jones, Kimberley Cann, David Kay, Hal Morgenstern, Ian Simms, M.R. Evans, Rachel M. Chalmers, T J Coleman and P Morgan-Capner. Their work appears in journals such as Epidemiology and Infection, Eurosurveillance, Sexually Transmitted Infections, Environmental Health Perspectives and Frontiers in Public Health.

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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