Philippe Thuillier

67 papers receiving 1.5k citations

Peers

Philippe Thuillier
Comparison fields: 5 of 109
  • Biochemistry 155
  • Cancer Research 178
  • Molecular Biology 767
  • Nutrition and Dietetics 157
  • Clinical Biochemistry 65
Replace Sujoy Bhattacharya with:
Sujoy Bhattacharya United States
Karl Johan Tronstad Norway
Xuemei Zhang China
Min Wen China
Federica Gilardi Switzerland
Satoshi Akiba Japan
Gabriela Orasanu United States
Modar Kassan United States
Kerstin K. Landrock United States
Dipanjan Chanda South Korea
Philippe Thuillier relative to Sujoy Bhattacharya United States Sujoy Bhattacharya's profile →
Citations per field
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Sujoy Bhattacharya · 1×
Citations per year

Countries citing papers authored by Philippe Thuillier

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Thuillier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001137
2 2015104
3 1999100
4 200196
5 199296
6 200783
7 202270
8 200064
9 201064
10
8S-lipoxygenase products activate peroxisome proliferator-activated receptor alpha and induce differentiation in murine keratinocytes.
200061
11 200250
12 201246
13 201139
14 199839
15 200636
16 202132
17 200431
18 202030
19 201829
20 200228

About Philippe Thuillier

Philippe Thuillier is a scholar working on Molecular Biology, Oncology, Endocrinology, Diabetes and Metabolism, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 70 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (13 papers), Peroxisome Proliferator-Activated Receptors (12 papers), Medical Imaging Techniques and Applications (10 papers), Lung Cancer Research Studies (7 papers), Thyroid Cancer Diagnosis and Treatment (7 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Neuroblastoma Research and Treatments (6 papers) and Cancer, Lipids, and Metabolism (5 papers). The work is most often cited by research in Biochemistry (155 citations), Cancer Research (178 citations), Molecular Biology (767 citations), Nutrition and Dietetics (157 citations) and Clinical Biochemistry (65 citations). Philippe Thuillier has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Susan M. Fischer, James P. Kehrer, Rebecca Baillie, Steven D. Clarke, Shyam Biswal, Kaushik Datta, Eunhye La, John P. Vanden Heuvel, Stephanie J. Muga and Jackilen Shannon. Their work appears in journals such as Frontiers in Medicine, Scientific Reports, Biochemical Journal, EJNMMI Physics and Diabetes & Metabolism.

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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