Guy de‐Thé

1.4k citations
28 papers · 1.2k · h-index 17

Impact in

  • Oncology top 5%
    • Viral-associated cancers and disorders
    • Polyomavirus and related diseases
    • Head and Neck Cancer Studies

Papers in

Guy de‐Thé

28 papers receiving 1.0k citations

Peers

Guy de‐Thé
Comparison fields: 5 of 94
  • Oncology 621
  • Otorhinolaryngology 72
  • Infectious Diseases 255
  • Pathology and Forensic Medicine 193
  • Immunology 207
Replace Chris Dawson with:
Chris Dawson United Kingdom
Lisa M. Petti United States
Julie Harriague France
Dorothy L. Buchhagen United States
C. Halbert United States
Stefan Imreh Sweden
H Romanczuk United States
Lucienne Ronco United States
Elizabeth Medcalf United Kingdom
Takashi Yugawa Japan
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Citations per field
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Citations per year

Countries citing papers authored by Guy de‐Thé

Since Specialization
Citations

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

Fields of papers citing papers by Guy de‐Thé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guy de‐Thé. 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 Guy de‐Thé. The network helps show where Guy de‐Thé may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990212
2 1964187
3 1982115
4 197789
5 196676
6 199171
7 197151
8 197640
9 198340
10 198439
11 197939
12 197324
13 196520
14 198518
15
Epstein-Barr virus behavior in different populations and implications for control of Epstein-Barr virus-associated tumors.
197618
16 197217
17 197317
18 197614
19 200913
20 196612

About Guy de‐Thé

Guy de‐Thé is a scholar working on Oncology, Pathology and Forensic Medicine, Infectious Diseases, Epidemiology and Immunology, having authored 28 papers that have together received 1.2k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (18 papers), Lymphoma Diagnosis and Treatment (11 papers), Parvovirus B19 Infection Studies (8 papers), Cytomegalovirus and herpesvirus research (4 papers), Herpesvirus Infections and Treatments (3 papers), Virus-based gene therapy research (3 papers), Head and Neck Cancer Studies (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Oncology (621 citations), Otorhinolaryngology (72 citations), Infectious Diseases (255 citations), Pathology and Forensic Medicine (193 citations) and Immunology (207 citations). Guy de‐Thé has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Timothy E. O’Connor, Nicholas Day, Anton Geser, Pei-Chung Wang, Virginia Lepage, Douglas F. Easton, Barbara McKnight, Malcolm J. Simons, Yi Zeng and Laurent Degos. Their work appears in journals such as International Journal of Cancer, JNCI Journal of the National Cancer Institute, Virology, The Journal of Cell Biology and Epidemiologic Reviews.

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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