Ivan Théate

59 papers receiving 4.2k citations

Hit Papers

Evidence for a tumoral immune resistance mechanism based on tryptophan degradation by indoleamine 2,3-dioxygenase 2003 · 1.8k citations
1.8k200320262010201850010001.5k

Peers

Ivan Théate
Comparison fields: 5 of 116
  • Biological Psychiatry 1.0k
  • Behavioral Neuroscience 332
  • Immunology 1.8k
  • Oncology 1.4k
  • Pharmaceutical Science 254
Replace Didier Colau with:
Didier Colau Belgium
Xiufen Zheng Canada
Jing Qin China
Claudio Mauro United Kingdom
Jiang Li China
Włodzimierz Maśliński Poland
Dong‐Sup Lee South Korea
Jian‐Chuan Xia China
Paola Contini Italy
Ivan Théate relative to Didier Colau Belgium Didier Colau's profile →
Citations per field
00.5×11.5×
Didier Colau · 1×
Citations per year

Countries citing papers authored by Ivan Théate

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Théate

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Evidence for a tumoral immune resistance mechanism based on tryptophan degradation by indoleamine 2,3-dioxygenase
Hit paper breakdown →
20031807
2 2014284
3 2007261
4 2007247
5 2012204
6 2005191
7 2010180
8 2007161
9 2005117
10 200976
11 201273
12 201266
13 200662
14 200041
15 200738
16 201637
17 201935
18 200930
19 200528
20 201127

About Ivan Théate

Ivan Théate is a scholar working on Genetics, Pathology and Forensic Medicine, Biological Psychiatry, Dermatology and Immunology, having authored 61 papers that have together received 4.3k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (18 papers), Chronic Lymphocytic Leukemia Research (12 papers), Viral-associated cancers and disorders (7 papers), Immunotherapy and Immune Responses (6 papers), Cutaneous Melanoma Detection and Management (5 papers), Immune Cell Function and Interaction (5 papers), Cutaneous lymphoproliferative disorders research (4 papers) and Tryptophan and brain disorders (3 papers). The work is most often cited by research in Biological Psychiatry (1.0k citations), Behavioral Neuroscience (332 citations), Immunology (1.8k citations), Oncology (1.4k citations) and Pharmaceutical Science (254 citations). Ivan Théate has collaborated with scholars based in Belgium, France and United States. Frequent co-authors include Benoı̂t J. Van den Eynde, Thierry Boon, Luc Pilotte, Vincent Stroobant, Didier Colau, Nicolas Parmentier, Catherine Uyttenhove, Nicolas van Baren, Anne des Rieux and Yves‐Jacques Schneider. Their work appears in journals such as British Journal of Haematology, European Journal Of Haematology, Annals of Oncology, Genes Chromosomes and Cancer and Blood.

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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