Gaëtan MacGrogan
- Cancer Research top 0.2%
- Breast Cancer Treatment Studies 64
- Cancer Genomics and Diagnostics 11
- Oncology top 0.5%
- HER2/EGFR in Cancer Research 33
- Cancer Cells and Metastasis 14
- Pathology and Forensic Medicine top 0.5%
- Breast Lesions and Carcinomas 44
- Dermatology top 0.5%
- Cancer and Skin Lesions 20
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- Terahertz technology and applications 14
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- Advanced Breast Cancer Therapies 12
- Co-authors
- Marc DebledL. MauriacHervé BonnefoiVéronique BrousteSimone Mathoulin‐PélissierM. DurandIsabelle de MascarelDavid Cameron
- Partner nations
- FranceUnited StatesSwitzerland
In The Last Decade
Gaëtan MacGrogan
150 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Cancer Research 3.1k
- Oncology 3.0k
- Pathology and Forensic Medicine 1.8k
- Dermatology 515
- Radiology, Nuclear Medicine and Imaging 731
Countries citing papers authored by Gaëtan MacGrogan
This map shows the geographic impact of Gaëtan MacGrogan'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 Gaëtan MacGrogan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaëtan MacGrogan more than expected).
Fields of papers citing papers by Gaëtan MacGrogan
This network shows the impact of papers produced by Gaëtan MacGrogan. 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 Gaëtan MacGrogan. The network helps show where Gaëtan MacGrogan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gaëtan MacGrogan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2022 | 8 | |
| 3 | 2021 | 23 | |
| 4 | 2021 | 0 | |
| 5 | 2020 | 45 | |
| 6 | 2019 | 15 | |
| 7 | 2019 | 13 | |
| 8 | 2018 | 19 | |
| 9 | 2016 | 28 | |
| 10 | 2013 | 69 | |
| 11 | 2013 | 34 | |
| 12 | 2013 | 9 | |
| 13 | 2010 | 29 | |
| 14 | Prognostic and predictive value of centrally reviewed Ki-67 labeling index in postmenopausal women with endocrine-responsive breast cancer: results from trial BIG 1-98 comparing adjuvant endocrine therapy with tamoxifen versus letrozole | 2008 | 3 |
| 15 | Exemestane as neoadjuvant hormonotherapy for locally advanced breast cancer: results of a phase II trial. | 2007 | 17 |
| 16 | 2007 | 9 | |
| 17 | 2007 | 133 | |
| 18 | 2003 | 83 | |
| 19 | 2003 | 93 | |
| 20 | 2002 | 23 |
About Gaëtan MacGrogan
Gaëtan MacGrogan is a scholar working on Cancer Research, Pathology and Forensic Medicine and Oncology, having authored 159 papers that have together received 6.3k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (64 papers), Breast Lesions and Carcinomas (44 papers), HER2/EGFR in Cancer Research (33 papers), Cancer and Skin Lesions (20 papers), Cancer Cells and Metastasis (14 papers), Terahertz technology and applications (14 papers), Advanced Breast Cancer Therapies (12 papers) and Cancer Genomics and Diagnostics (11 papers). The work is most often cited by research in Cancer Research (3.1k citations), Oncology (3.0k citations) and Pathology and Forensic Medicine (1.8k citations). Gaëtan MacGrogan has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Marc Debled, L. Mauriac, Hervé Bonnefoi, Véronique Brouste, Simone Mathoulin‐Pélissier, M. Durand, Isabelle de Mascarel, David Cameron, F. Bonichon and Richard Iggo. Their work appears in journals such as Nature Medicine, Journal of Clinical Oncology and PLoS ONE.
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.