Guillaume Bataillon

2.5k citations
42 papers · 1.0k · h-index 13

Impact in

    • Cancer Genomics and Diagnostics
    • Breast Cancer Treatment Studies
    • Systemic Lupus Erythematosus Research

Papers in

Guillaume Bataillon

41 papers receiving 1.0k citations

Peers

Guillaume Bataillon
Comparison fields: 5 of 73
  • Cancer Research 187
  • Rheumatology 183
  • Health Informatics 17
  • Oncology 276
  • Neurology 149
Replace Siew‐Kee Low with:
Siew‐Kee Low Japan
Davide Nicoli Italy
Nora Joseph United States
Inge H. Briaire‐de Bruijn Netherlands
In Hye Song South Korea
H. Moch Switzerland
Cinzia Lavarino Spain
Hans‐Ulrich Schildhaus Germany
Andreas Burchert Germany
Chih‐Yi Hsu Taiwan
Guillaume Bataillon relative to Siew‐Kee Low Japan Siew‐Kee Low's profile →
Citations per field
00.5×4.0×
Siew‐Kee Low · 1×
Citations per year

Countries citing papers authored by Guillaume Bataillon

Since Specialization
Citations

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

Fields of papers citing papers by Guillaume Bataillon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014248
2 2013187
3 2019161
4 201976
5 202274
6 202055
7 201836
8 202236
9 201924
10 201917
11 202013
12 202112
13 201812
14 202212
15 20147
16 20216
17 20246
18 20196
19 20215
20 20235

About Guillaume Bataillon

Guillaume Bataillon is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Cancer Research, Pathology and Forensic Medicine and Obstetrics and Gynecology, having authored 42 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (7 papers), Ovarian cancer diagnosis and treatment (6 papers), Endometrial and Cervical Cancer Treatments (6 papers), Sarcoma Diagnosis and Treatment (5 papers), BRCA gene mutations in cancer (5 papers), AI in cancer detection (5 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Breast Lesions and Carcinomas (4 papers). The work is most often cited by research in Cancer Research (187 citations), Rheumatology (183 citations), Health Informatics (17 citations), Oncology (276 citations) and Neurology (149 citations). Guillaume Bataillon has collaborated with scholars based in France, Italy and Belgium. Frequent co-authors include Danielle Seilhean, Anne Vincent‐Salomon, Marie‐Agnès Dragon‐Durey, Gérard Friedlander, Christophe Legendre, Frank Bienaimé, Renaud Snanoudj, Fanny Tabarin, Fabiola Terzi and Lise Halbwachs‐Mecarelli. Their work appears in journals such as International Journal of Gynecological Cancer, Cancers, Annals of Oncology, Journal of Clinical Oncology and Oncogene.

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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