Arnaud Bayle

928 citations
25 papers · 187 · h-index 8

Impact in

Papers in

    • Cancer Cells and Metastasis 2
    • Colorectal Cancer Treatments and Studies 2
    • COVID-19 and healthcare impacts 2
    • Cancer Genomics and Diagnostics 9

Arnaud Bayle

21 papers receiving 184 citations

Peers

Arnaud Bayle
Comparison fields: 5 of 41
  • Cancer Research 57
  • Pulmonary and Respiratory Medicine 55
  • Oncology 46
  • Geriatrics and Gerontology 5
  • Pathology and Forensic Medicine 17
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Citations per field
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Citations per year

Countries citing papers authored by Arnaud Bayle

Since Specialization
Citations

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

Fields of papers citing papers by Arnaud Bayle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202354
2 202427
3
Cooperation between general practitioners and diabetologists and clinical audit improve the management of type 2 diabetic patients.
199922
4 202314
5 202314
6 202011
7 202310
8 20217
9 20236
10 20215
11 20204
12 20232
13
Outcome of older cancer patients infected with Covid19 at Gustave Roussy Cancer Center
20202
14 20232
15 20231
16 20231
17 20221
18 20231
19 20231
20 20201

About Arnaud Bayle

Arnaud Bayle is a scholar working on Oncology, Cancer Research, Pulmonary and Respiratory Medicine, Surgery and Molecular Biology, having authored 25 papers that have together received 187 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (9 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Lung Cancer Treatments and Mutations (3 papers), Cancer Cells and Metastasis (2 papers), Colorectal Cancer Treatments and Studies (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), COVID-19 and healthcare impacts (2 papers) and Biomedical Ethics and Regulation (2 papers). The work is most often cited by research in Cancer Research (57 citations), Pulmonary and Respiratory Medicine (55 citations), Oncology (46 citations), Geriatrics and Gerontology (5 citations) and Pathology and Forensic Medicine (17 citations). Arnaud Bayle has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Benjamin Besse, Étienne Rouleau, Julia Bonastre, Dan Chaltiel, Gracemarie Bricalli, R. Giuliani, Solange Peters, N.J. Latino, Antoîne Italiano and Paul Hofman. Their work appears in journals such as Journal of Clinical Oncology, European Journal of Cancer, Annals of Oncology, Cancer Research and ESMO Open.

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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