Arnaud Guillé

1.9k citations
43 papers · 887 · h-index 15

Impact in

    • Cancer Genomics and Diagnostics
    • Cancer, Lipids, and Metabolism
    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
  • Oncology top 10%
    • Cancer Cells and Metastasis
    • HER2/EGFR in Cancer Research

Papers in

Arnaud Guillé

41 papers receiving 883 citations

Peers

Arnaud Guillé
Comparison fields: 5 of 67
  • Cancer Research 308
  • Oncology 265
  • Genetics 71
  • Molecular Biology 401
  • Pulmonary and Respiratory Medicine 127
Replace Nadia Coltella with:
Nadia Coltella Italy
Irina Kalatskaya Canada
Susan Koujak United States
Aizhen Xiao United States
Analía Azaro Spain
Catherine Richon France
Luigi Manenti United States
María D. Corte‐Torres Spain
Alexandra Florin Germany
Kristina von Boguslawski Finland
Arnaud Guillé relative to Nadia Coltella Italy Nadia Coltella's profile →
Citations per field
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Citations per year

Countries citing papers authored by Arnaud Guillé

Since Specialization
Citations

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

Fields of papers citing papers by Arnaud Guillé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011130
2 2012125
3 201495
4 201666
5 201453
6 202248
7 201441
8 201434
9 201329
10 202228
11 201328
12 201927
13 201925
14 201723
15 201914
16 202213
17 202013
18 20227
19 20227
20 20237

About Arnaud Guillé

Arnaud Guillé is a scholar working on Cancer Research, Molecular Biology, Oncology, Genetics and Pulmonary and Respiratory Medicine, having authored 43 papers that have together received 887 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (14 papers), DNA Repair Mechanisms (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), BRCA gene mutations in cancer (4 papers), PARP inhibition in cancer therapy (4 papers), Ovarian cancer diagnosis and treatment (3 papers), Cancer Cells and Metastasis (3 papers) and Endometrial and Cervical Cancer Treatments (3 papers). The work is most often cited by research in Cancer Research (308 citations), Oncology (265 citations), Genetics (71 citations), Molecular Biology (401 citations) and Pulmonary and Respiratory Medicine (127 citations). Arnaud Guillé has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Daniel Birnbaum, Max Chaffanet, François Bertucci, Pascal Finetti, José Adélaı̈de, Patrice Viens, Renaud Sabatier, Emmanuelle Charafe‐Jauffret, Nadine Carbuccia and Sèverine Garnier. Their work appears in journals such as Molecular Oncology, Journal of Translational Medicine, Frontiers in Oncology, JCO Precision Oncology and PLoS ONE.

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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