Yolande Berthois
- Molecular Biology top 10%
- Genetics top 2%
- Oncology top 5%
- Cancer Research top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Benita S. KatzenellenbogenJohn A. KatzenellenbogenKari KendraPierre MartinPierre‐Marie MartinP.M. MartinG. MillotPierre-Marie Martin
- Topics
- HER2/EGFR in Cancer Research (14 papers)Estrogen and related hormone effects (12 papers)Cancer Cells and Metastasis (8 papers)
- Cited by
- GeneticsOncologyCancer Research
- Partner nations
- FranceUnited StatesSwitzerland
In The Last Decade
Yolande Berthois
54 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Molecular Biology 1.2k
- Genetics 1.2k
- Oncology 737
- Cancer Research 366
- Endocrinology, Diabetes and Metabolism 238
Countries citing papers authored by Yolande Berthois
This map shows the geographic impact of Yolande Berthois'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 Yolande Berthois with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yolande Berthois more than expected).
Fields of papers citing papers by Yolande Berthois
This network shows the impact of papers produced by Yolande Berthois. 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 Yolande Berthois. The network helps show where Yolande Berthois may publish in the future.
Co-authorship network of co-authors of Yolande Berthois
This figure shows the co-authorship network connecting the top 25 collaborators of Yolande Berthois. A scholar is included among the top collaborators of Yolande Berthois 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 Yolande Berthois. Yolande Berthois is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 1 | |
| 3 | 29 | |
| 4 | 68 | |
| 5 | Invasion et angiogenèse dans les gliomes : rôle de l’adrénomédulline | 5 |
| 6 | 20 | |
| 7 | 20 | |
| 8 | 1 | |
| 9 | 48 | |
| 10 | 25 | |
| 11 | 1 | |
| 12 | 24 | |
| 13 | 3 | |
| 14 | 99 | |
| 15 | 23 | |
| 16 | 25 | |
| 17 | Estradiol dependence of the specific mammary tissue targeting of polyoma virus oncogenicity in nude mice. | 8 |
| 18 | 38 | |
| 19 | 11 | |
| 20 | 64 |
About Yolande Berthois
Yolande Berthois is a scholar working on Oncology, Cancer Research and Genetics, having authored 54 papers that have together received 2.5k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (14 papers), Estrogen and related hormone effects (12 papers) and Cancer Cells and Metastasis (8 papers). The work is most often cited by research in Genetics (1.2k citations), Oncology (737 citations) and Cancer Research (366 citations). Yolande Berthois has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Benita S. Katzenellenbogen, John A. Katzenellenbogen, Kari Kendra, Pierre Martin, Pierre‐Marie Martin, P.M. Martin, G. Millot, Pierre-Marie Martin, N Pourreau-Schneider and E. V. Jensen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Oncogene and The FASEB Journal.
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.