Theo deVos

20 papers receiving 1.9k citations

Peers

Theo deVos
Comparison fields: 5 of 87
  • Cancer Research 525
  • Pathology and Forensic Medicine 396
  • Oncology 571
  • Molecular Biology 950
  • Parasitology 88
Replace Daniel C. Edelman with:
Daniel C. Edelman United States
Kui Yang China
Gary K. Koski United States
Vincent O’Brien United Kingdom
Souhila Medjkane France
Bhavin S. Parekh United States
R. H. Whitehead Australia
Michael K. Kießling Switzerland
Brigitte Quatannens France
Sara Abdelrahman Egypt
Theo deVos relative to Daniel C. Edelman United States Daniel C. Edelman's profile →
Citations per field
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Daniel C. Edelman · 1×
Citations per year

Countries citing papers authored by Theo deVos

Since Specialization
Citations

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

Fields of papers citing papers by Theo deVos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009451
2 2007423
3 2008328
4 1999198
5 2014187
6 200099
7 201642
8 199542
9 199235
10 202133
11 200031
12 199428
13 199219
14 199018
15 199214
16 198913
17 19939
18 19938
19 20176
20 19952

About Theo deVos

Theo deVos is a scholar working on Aging, Infectious Diseases, Epidemiology, Public Health, Environmental and Occupational Health and Molecular Biology, having authored 22 papers that have together received 2.0k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (5 papers), Parasitic Diseases Research and Treatment (5 papers), Trypanosoma species research and implications (5 papers), Research on Leishmaniasis Studies (4 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Parasite Biology and Host Interactions (2 papers), Colorectal Cancer Screening and Detection (2 papers) and Insect Resistance and Genetics (2 papers). The work is most often cited by research in Cancer Research (525 citations), Pathology and Forensic Medicine (396 citations), Oncology (571 citations), Molecular Biology (950 citations) and Parasitology (88 citations). Theo deVos has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Andrew Sledziewski, Christian P. Pilarsky, Robert Grützmann, Fabian Model, Catherine Lofton–Day, Matthias Schuster, Reimo Tetzner, Bela Akos Molnar, Volker Liebenberg and Jens Karsten Habermann. Their work appears in journals such as Experimental Parasitology, BMC Gastroenterology, Journal of Parasitology, Molecular and Biochemical Parasitology and Clinical Chemistry.

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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