Luc Cabel

3.8k citations
81 papers · 1.9k indexed · h-index 24

Impact in

    • Cancer Genomics and Diagnostics
  • Oncology top 2%
    • Cancer Immunotherapy and Biomarkers
    • Cancer Cells and Metastasis

Papers in

    • Cancer Immunotherapy and Biomarkers 13
    • Cancer Cells and Metastasis 11
    • HER2/EGFR in Cancer Research 11
    • Cancer Treatment and Pharmacology 8
    • Advanced Breast Cancer Therapies 21

Luc Cabel

70 papers receiving 1.9k citations

Peers

Luc Cabel
Comparison fields: 5 of 96
  • Cancer Research 924
  • Oncology 1.2k
  • Pulmonary and Respiratory Medicine 599
  • Pathology and Forensic Medicine 213
  • Immunology 236
Replace Naoki Niikura with:
Naoki Niikura Japan
Leticia De Mattos‐Arruda Spain
Adrian G. Sacher Canada
Jinming Yu China
Paula R. Pohlmann United States
Pasquale Pisapia Italy
Eleni Andreopoulou United States
Maria Schwaederlé United States
J. Doyen France
Luc Cabel relative to Naoki Niikura Japan Naoki Niikura's profile →
Citations per field
00.5×1.5×
Naoki Niikura · 1×
Citations per year

Countries citing papers authored by Luc Cabel

Since Specialization
Citations

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

Fields of papers citing papers by Luc Cabel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017224
2 2017167
3 2018151
4 2020141
5 2021104
6 202080
7 201974
8 201974
9 201865
10 201759
11 202358
12 202053
13 202147
14 202147
15 201946
16 201744
17 202042
18 202141
19 201733
20 202328

About Luc Cabel

Luc Cabel is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Cancer Research, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 81 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (24 papers), Advanced Breast Cancer Therapies (21 papers), Cancer Immunotherapy and Biomarkers (13 papers), Breast Cancer Treatment Studies (12 papers), Cancer Cells and Metastasis (11 papers), HER2/EGFR in Cancer Research (11 papers), Cancer Treatment and Pharmacology (8 papers) and Genetic factors in colorectal cancer (7 papers). The work is most often cited by research in Cancer Research (924 citations), Oncology (1.2k citations), Pulmonary and Respiratory Medicine (599 citations), Pathology and Forensic Medicine (213 citations) and Immunology (236 citations). Luc Cabel has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include François‐Clément Bidard, Jean‐Yves Pierga, Charlotte Proudhon, Nicolas Kiavué, Delphine Loirat, Emanuela Romano, Ivan Bièche, Olivier Lantz, Antoine Vasseur and Marc‐Henri Stern. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, Cancer Research, British Journal of Cancer 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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