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
-
- Cancer Genomics and Diagnostics 22
- Breast Cancer Treatment Studies 9
- Oncology 43
- HER2/EGFR in Cancer Research 11
- Cancer Cells and Metastasis 10
- Co-authors
- François‐Clément Bidard (42 shared papers)Jean‐Yves Pierga (28 shared papers)Charlotte Proudhon (13 shared papers)Nicolas Kiavué (10 shared papers)Delphine Loirat (13 shared papers)Emanuela Romano (4 shared papers)Ivan Bièche (12 shared papers)Olivier J Lantz (2 shared papers)
- Journals
- Annals of Oncology (8 papers)Oncogene (5 papers)ESMO Open (5 papers)British Journal of Cancer (5 papers)npj Breast Cancer (4 papers)
- Partner nations
- FranceUnited StatesSpain
In The Last Decade
Luc Cabel
90 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 98
- Cancer Research 1.2k
- Oncology 1.5k
- Pulmonary and Respiratory Medicine 679
- Pathology and Forensic Medicine 211
- Immunology 229
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 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 239 | |
| 2 | 2018 | 225 | |
| 3 | 2017 | 182 | |
| 4 | 2018 | 169 | |
| 5 | 2020 | 157 | |
| 6 | 2020 | 138 | |
| 7 | 2021 | 124 | |
| 8 | 2019 | 98 | |
| 9 | 2019 | 88 | |
| 10 | 2020 | 88 | |
| 11 | 2018 | 81 | |
| 12 | 2019 | 81 | |
| 13 | 2023 | 75 | |
| 14 | 2017 | 65 | |
| 15 | 2020 | 57 | |
| 16 | 2019 | 56 | |
| 17 | 2021 | 55 | |
| 18 | 2021 | 53 | |
| 19 | 2021 | 52 | |
| 20 | 2020 | 51 |
About Luc Cabel
Luc Cabel is a scholar working on Cancer Research, Oncology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine, having authored 94 papers that have together received 3.0k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (22 papers), Advanced Breast Cancer Therapies (14 papers), HER2/EGFR in Cancer Research (11 papers), Cancer Cells and Metastasis (10 papers), Breast Cancer Treatment Studies (9 papers), Lung Cancer Treatments and Mutations (8 papers), Genetic factors in colorectal cancer (6 papers) and Brain Metastases and Treatment (6 papers). The work is most often cited by research in Cancer Research (1.2k citations), Oncology (1.5k citations), Pulmonary and Respiratory Medicine (679 citations), Pathology and Forensic Medicine (211 citations) and Immunology (229 citations). Luc Cabel has collaborated with scholars based in France, United States and Spain. Frequent co-authors include François‐Clément Bidard, Jean‐Yves Pierga, Charlotte Proudhon, Nicolas Kiavué, Delphine Loirat, Emanuela Romano, Ivan Bièche, Olivier J Lantz, Antoine Vasseur and Marc-Henri Stern. Their work appears in journals such as Annals of Oncology, Oncogene, ESMO Open, British Journal of Cancer and npj Breast 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.