Philippe Broët
Impact in
Papers in
-
- Gene expression and cancer classification 11
- Oncology 20
- HER2/EGFR in Cancer Research 4
- Co-authors
- Cyril Dalmasso (16 shared papers)Sophie Camilleri‐Broët (19 shared papers)Karima Mokhtari (7 shared papers)Thierry Moreau (7 shared papers)M. Kujas (6 shared papers)Bernard Asselain (9 shared papers)Khê Hoang‐Xuan (7 shared papers)Sylvia Richardson (4 shared papers)
- Journals
- PLoS ONE (6 papers)Bioinformatics (4 papers)Blood (3 papers)Journal of Neuro-Oncology (3 papers)British Journal of Cancer (3 papers)
- Partner nations
- FranceCanadaUnited States
In The Last Decade
Philippe Broët
91 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 129
- Genetics 821
- Neurology 653
- Cancer Research 618
- Pathology and Forensic Medicine 702
- Hepatology 265
Countries citing papers authored by Philippe Broët
This map shows the geographic impact of Philippe Broët'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 Philippe Broët with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philippe Broët more than expected).
Fields of papers citing papers by Philippe Broët
This network shows the impact of papers produced by Philippe Broët. 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 Philippe Broët. The network helps show where Philippe Broët may publish in the future.
Co-authors
The 25 scholars most cited alongside Philippe Broët, 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 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 348 | |
| 2 | 2004 | 290 | |
| 3 | 2005 | 287 | |
| 4 | 1999 | 157 | |
| 5 | 1995 | 155 | |
| 6 | 2011 | 153 | |
| 7 | 2007 | 150 | |
| 8 | 2008 | 142 | |
| 9 | 1998 | 131 | |
| 10 | 1996 | 118 | |
| 11 | 2007 | 114 | |
| 12 | 2001 | 110 | |
| 13 | 1999 | 103 | |
| 14 | 2010 | 99 | |
| 15 | 2004 | 93 | |
| 16 | 2001 | 77 | |
| 17 | 2005 | 73 | |
| 18 | 2002 | 72 | |
| 19 | 2011 | 62 | |
| 20 | 2011 | 58 |
About Philippe Broët
Philippe Broët is a scholar working on Molecular Biology, Oncology, Cancer Research, Genetics and Genetics, having authored 92 papers that have together received 3.9k indexed citations. Recurring topics across this work include Gene expression and cancer classification (11 papers), Statistical Methods in Clinical Trials (9 papers), Breast Cancer Treatment Studies (8 papers), Cancer Genomics and Diagnostics (7 papers), Glioma Diagnosis and Treatment (7 papers), Genomic variations and chromosomal abnormalities (5 papers), Statistical Methods and Inference (4 papers) and HER2/EGFR in Cancer Research (4 papers). The work is most often cited by research in Genetics (821 citations), Neurology (653 citations), Cancer Research (618 citations), Pathology and Forensic Medicine (702 citations) and Hepatology (265 citations). Philippe Broët has collaborated with scholars based in France, Canada and United States. Frequent co-authors include Cyril Dalmasso, Sophie Camilleri‐Broët, Karima Mokhtari, Thierry Moreau, M. Kujas, Bernard Asselain, Khê Hoang‐Xuan, Sylvia Richardson, Emmanuelle Crinière and Anne de la Rochefordière. Their work appears in journals such as PLoS ONE, Bioinformatics, Blood, Journal of Neuro-Oncology 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.