Luc Cabel
Impact in
- Cancer Research top 2%
- Cancer Genomics and Diagnostics
- Oncology top 2%
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Advanced Breast Cancer Therapies 19
- Oncology 38
- Cancer Cells and Metastasis 9
- HER2/EGFR in Cancer Research 8
- Cancer Immunotherapy and Biomarkers 6
- Co-authors
- François‐Clément Bidard (48 shared papers)Jean‐Yves Pierga (34 shared papers)Charlotte Proudhon (14 shared papers)Nicolas Kiavué (11 shared papers)Delphine Loirat (16 shared papers)Emanuela Romano (5 shared papers)Ivan Bièche (16 shared papers)Olivier Lantz (2 shared papers)
- Journals
- Journal of Clinical Oncology (9 papers)Annals of Oncology (6 papers)Cancer Research (5 papers)Oncogene (4 papers)British Journal of Cancer (4 papers)
- Partner nations
- FranceUnited StatesBelgium
In The Last Decade
Luc Cabel
75 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 93
- Cancer Research 802
- Oncology 1.0k
- Pulmonary and Respiratory Medicine 475
- Immunology 209
- Pathology and Forensic Medicine 157
Countries citing papers authored by Luc Cabel
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
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.
All Works
Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 225 | |
| 2 | 2017 | 178 | |
| 3 | 2018 | 154 | |
| 4 | 2020 | 148 | |
| 5 | 2021 | 110 | |
| 6 | 2020 | 80 | |
| 7 | 2019 | 77 | |
| 8 | 2019 | 77 | |
| 9 | 2018 | 69 | |
| 10 | 2023 | 68 | |
| 11 | 2017 | 62 | |
| 12 | 2020 | 55 | |
| 13 | 2021 | 50 | |
| 14 | 2019 | 49 | |
| 15 | 2021 | 48 | |
| 16 | 2021 | 46 | |
| 17 | 2017 | 44 | |
| 18 | 2020 | 44 | |
| 19 | 2017 | 33 | |
| 20 | 2023 | 32 |
About Luc Cabel
Luc Cabel is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Cancer Research, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine, having authored 81 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (20 papers), Advanced Breast Cancer Therapies (19 papers), Breast Cancer Treatment Studies (10 papers), Cancer Cells and Metastasis (9 papers), HER2/EGFR in Cancer Research (8 papers), Genetic factors in colorectal cancer (7 papers), Cancer Immunotherapy and Biomarkers (6 papers) and Colorectal and Anal Carcinomas (5 papers). The work is most often cited by research in Cancer Research (802 citations), Oncology (1.0k citations), Pulmonary and Respiratory Medicine (475 citations), Immunology (209 citations) and Pathology and Forensic Medicine (157 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, Oncogene and British Journal of Cancer.
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.