Philippe Bertheau

4.2k citations
86 papers · 3.4k · h-index 28

Impact in

  • Oncology top 2%
    • Cancer-related Molecular Pathways
    • Cancer Immunotherapy and Biomarkers
    • Cancer Cells and Metastasis
    • HER2/EGFR in Cancer Research
    • Cancer Genomics and Diagnostics
    • Breast Cancer Treatment Studies

Papers in

    • Cancer-related Molecular Pathways 9
    • Cancer Cells and Metastasis 6
    • HER2/EGFR in Cancer Research 4
    • Cancer Genomics and Diagnostics 8
    • Breast Cancer Treatment Studies 4

Philippe Bertheau

84 papers receiving 3.3k citations

Peers

Philippe Bertheau
Comparison fields: 5 of 125
  • Oncology 1.2k
  • Cancer Research 618
  • Immunology 714
  • Hematology 261
  • Gastroenterology 103
Replace Dhanpat Jain with:
Dhanpat Jain United States
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Jed G. Nuchtern United States
Soo‐Yong Tan Singapore
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Parisa Momtaz United States
Michael T. Sheaff United Kingdom
Periklis G. Foukas Greece
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Citations per field
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Dhanpat Jain · 1×
Citations per year

Countries citing papers authored by Philippe Bertheau

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Bertheau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013261
2 2018207
3 2002201
4 2000171
5 2010165
6 2013163
7 1998156
8 2007138
9 2017126
10 2010113
11 2013108
12 201295
13 200892
14 201089
15 201677
16 200476
17 200473
18 200266
19 201765
20 201164

About Philippe Bertheau

Philippe Bertheau is a scholar working on Oncology, Cancer Research, Radiology, Nuclear Medicine and Imaging, Epidemiology and Biophysics, having authored 86 papers that have together received 3.4k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (9 papers), AI in cancer detection (9 papers), Cancer Genomics and Diagnostics (8 papers), Cancer Cells and Metastasis (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Breast Cancer Treatment Studies (4 papers), HER2/EGFR in Cancer Research (4 papers) and Cell Image Analysis Techniques (4 papers). The work is most often cited by research in Oncology (1.2k citations), Cancer Research (618 citations), Immunology (714 citations), Hematology (261 citations) and Gastroenterology (103 citations). Philippe Bertheau has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Anne Janin, Marc Espié, Louis‐François Plassa, Mariana Varna, Hugues de Thé, jacqueline Lehmann-Che, Elisabeth Turpin, Patricia de Crémoux, Anne de Roquancourt and Matthieu Allez. Their work appears in journals such as Oncotarget, Melanoma Research, Diagnostic Pathology, International Journal of 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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