Daniel Thomas

91 papers receiving 2.1k citations

Peers

Daniel Thomas
Comparison fields: 5 of 154
  • Parasitology 251
  • Microbiology 220
  • Infectious Diseases 461
  • Health, Toxicology and Mutagenesis 235
  • Applied Microbiology and Biotechnology 26
Replace Cheryl Waldner with:
Cheryl Waldner Canada
Gerard J.B. Sonder Netherlands
Ruth Ann Jajosky United States
Olaf Berke Canada
Jenny Kremastinou Greece
Jacob Simonsen Denmark
Norman Noah United Kingdom
Preben Aavitsland Norway
Michael H. Kramer United States
Motoi Suzuki Japan
Daniel Thomas relative to Cheryl Waldner Canada Cheryl Waldner's profile →
Citations per field
00.5×1.5×
Cheryl Waldner · 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 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012351
2 2005165
3 2016115
4 199387
5 200361
6 201858
7 201157
8 199557
9 199955
10 201452
11 199452
12 201448
13 201246
14 200845
15 200641
16 200740
17 200438
18 199338
19 200537
20 201035

About Daniel Thomas

Daniel Thomas is a scholar working on Infectious Diseases, Epidemiology, Public Health, Environmental and Occupational Health, Parasitology and General Health Professions, having authored 92 papers that have together received 2.2k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (7 papers), COVID-19 epidemiological studies (6 papers), Viral gastroenteritis research and epidemiology (6 papers), Syphilis Diagnosis and Treatment (6 papers), Salmonella and Campylobacter epidemiology (6 papers), Reproductive tract infections research (6 papers), Parasitic Infections and Diagnostics (4 papers) and Vector-borne infectious diseases (4 papers). The work is most often cited by research in Parasitology (251 citations), Microbiology (220 citations), Infectious Diseases (461 citations), Health, Toxicology and Mutagenesis (235 citations) and Applied Microbiology and Biotechnology (26 citations). Daniel Thomas has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include R Salmon, David Kay, Kimberley Cann, A. P. Wyn-Jones, 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, Frontiers in Public Health and International Journal for Population Data Science.

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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