Daniel Birnbaum
- Cancer Research top 0.05%
- Cancer Genomics and Diagnostics 54
- Breast Cancer Treatment Studies 44
- Oncology top 0.05%
- Cancer Cells and Metastasis 49
- HER2/EGFR in Cancer Research 41
- Hematology top 0.1%
- Acute Myeloid Leukemia Research 40
- Genetics top 0.1%
- Genomic variations and chromosomal abnormalities 39
- Molecular Biology top 0.1%
- Fibroblast Growth Factor Research 52
- Gene expression and cancer classification 43
- Co-authors
- François BertucciEmmanuelle Charafe‐JauffretPascal FinettiPatrice ViensChristophe GinestierJosé Adélaı̈deJocelyne JacquemierOlivier Rosnet
- Cited by
- Cancer ResearchOncologyHematology
- Partner nations
- FranceUnited StatesBelgium
In The Last Decade
Daniel Birnbaum
548 papers receiving 31.0k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Cancer Research 7.5k
- Oncology 12.8k
- Hematology 4.0k
- Genetics 2.9k
- Molecular Biology 17.3k
Countries citing papers authored by Daniel Birnbaum
This map shows the geographic impact of Daniel Birnbaum'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 Daniel Birnbaum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Birnbaum more than expected).
Fields of papers citing papers by Daniel Birnbaum
This network shows the impact of papers produced by Daniel Birnbaum. 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 Daniel Birnbaum. The network helps show where Daniel Birnbaum may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Birnbaum, 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 | 2022 | 11 | |
| 2 | 2022 | 27 | |
| 3 | 2022 | 6 | |
| 4 | 2021 | 11 | |
| 5 | 2014 | 21 | |
| 6 | 2013 | 113 | |
| 7 | 2011 | 100 | |
| 8 | Aldehyde Dehydrogenase 1–Positive Cancer Stem Cells Mediate Metastasis and Poor Clinical Outcome in Inflammatory Breast Cancerbreakdown → | 2009 | 575 |
| 9 | 2009 | 60 | |
| 10 | Breast Cancer Cell Lines Contain Functional Cancer Stem Cells with Metastatic Capacity and a Distinct Molecular Signaturebreakdown → | 2009 | 935 |
| 11 | 2008 | 96 | |
| 12 | Sterol biosynthesis pathway is overexpressed in mammary tumorospheres | 2008 | 1 |
| 13 | 2008 | 13 | |
| 14 | 2007 | 221 | |
| 15 | 2007 | 3 | |
| 16 | 2006 | 218 | |
| 17 | 2006 | 107 | |
| 18 | 2005 | 174 | |
| 19 | 2004 | 73 | |
| 20 | Breast cancer response to adjuvant chemotherapy in correlation with erbB2 and p53 expression. | 1995 | 37 |
About Daniel Birnbaum
Daniel Birnbaum is a scholar working on Cancer Research, Oncology and Hematology, having authored 558 papers that have together received 31.8k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (54 papers), Fibroblast Growth Factor Research (52 papers), Cancer Cells and Metastasis (49 papers), Breast Cancer Treatment Studies (44 papers), Gene expression and cancer classification (43 papers), HER2/EGFR in Cancer Research (41 papers), Acute Myeloid Leukemia Research (40 papers) and Genomic variations and chromosomal abnormalities (39 papers). The work is most often cited by research in Cancer Research (7.5k citations), Oncology (12.8k citations) and Hematology (4.0k citations). Daniel Birnbaum has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include François Bertucci, Emmanuelle Charafe‐Jauffret, Pascal Finetti, Patrice Viens, Christophe Ginestier, José Adélaı̈de, Jocelyne Jacquemier, Olivier Rosnet, Max S. Wicha and Max Chaffanet. Their work appears in journals such as Oncogene, Genes Chromosomes and Cancer, Cancer Research, International Journal of Oncology and International 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.