Gaëtan MacGrogan
- Cancer Research top 0.2%
- Oncology top 0.5%
- Pathology and Forensic Medicine top 0.5%
- Molecular Biology top 5%
- Pulmonary and Respiratory Medicine top 2%
- Co-authors
- Marc DebledL. MauriacHervé BonnefoiVéronique BrousteSimone Mathoulin‐PélissierM. DurandIsabelle de MascarelDavid Cameron
- Topics
- Breast Cancer Treatment Studies (64 papers)Breast Lesions and Carcinomas (44 papers)HER2/EGFR in Cancer Research (33 papers)
- 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
- Molecular Biology 1.6k
- Pulmonary and Respiratory Medicine 887
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 of co-authors of Gaëtan MacGrogan
This figure shows the co-authorship network connecting the top 25 collaborators of Gaëtan MacGrogan. A scholar is included among the top collaborators of Gaëtan MacGrogan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gaëtan MacGrogan. Gaëtan MacGrogan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 8 | |
| 3 | 23 | |
| 4 | 0 | |
| 5 | 45 | |
| 6 | 15 | |
| 7 | 13 | |
| 8 | 19 | |
| 9 | 28 | |
| 10 | 69 | |
| 11 | 34 | |
| 12 | 9 | |
| 13 | 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 | 3 |
| 15 | Exemestane as neoadjuvant hormonotherapy for locally advanced breast cancer: results of a phase II trial. | 17 |
| 16 | 9 | |
| 17 | 133 | |
| 18 | 83 | |
| 19 | 93 | |
| 20 | 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) and HER2/EGFR in Cancer Research (33 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.