Ben Allal
Impact in
-
- HER2/EGFR in Cancer Research
- Colorectal Cancer Treatments and Studies
- Cancer Cells and Metastasis
- Otorhinolaryngology top 10%
- Head and Neck Cancer Studies
Papers in
- Oncology 7
- HER2/EGFR in Cancer Research 3
- Colorectal Cancer Treatments and Studies 2
- Co-authors
- Étienne Chatelut (12 shared papers)Philippe Rochaix (6 shared papers)Jean‐Pierre Delord (6 shared papers)Gilles Favre (5 shared papers)Pierre Canal (4 shared papers)Bettina Couderc (3 shared papers)Isabelle Hennebelle (3 shared papers)Fabienne Thomas (5 shared papers)
- Journals
- Clinical Cancer Research (3 papers)British Journal of Cancer (3 papers)Journal of Pharmaceutical and Biomedical Analysis (2 papers)Pharmaceuticals (2 papers)British Journal of Clinical Pharmacology (1 paper)
- Partner nations
- FranceUnited StatesItaly
In The Last Decade
Ben Allal
22 papers receiving 544 citations
Peers
Comparison fields: 5 of 81
- Oncology 163
- Otorhinolaryngology 24
- Genetics 59
- Cancer Research 65
- Molecular Biology 210
Countries citing papers authored by Ben Allal
This map shows the geographic impact of Ben Allal'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 Ben Allal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Allal more than expected).
Fields of papers citing papers by Ben Allal
This network shows the impact of papers produced by Ben Allal. 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 Ben Allal. The network helps show where Ben Allal may publish in the future.
Co-authors
The 25 scholars most cited alongside Ben Allal, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 73 | |
| 2 | 2007 | 57 | |
| 3 | 2008 | 51 | |
| 4 | 2011 | 47 | |
| 5 | 2008 | 45 | |
| 6 | 2005 | 42 | |
| 7 | 2003 | 42 | |
| 8 | 2018 | 30 | |
| 9 | 2010 | 23 | |
| 10 | 2010 | 22 | |
| 11 | 2009 | 21 | |
| 12 | 2019 | 19 | |
| 13 | 2014 | 17 | |
| 14 | 2020 | 15 | |
| 15 | 2018 | 12 | |
| 16 | 2010 | 11 | |
| 17 | 1998 | 10 | |
| 18 | 2019 | 9 | |
| 19 | 2021 | 5 | |
| 20 | 2021 | 3 |
About Ben Allal
Ben Allal is a scholar working on Molecular Biology, Oncology, Genetics, Pathology and Forensic Medicine and Genetics, having authored 23 papers that have together received 557 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (5 papers), HER2/EGFR in Cancer Research (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Head and Neck Cancer Studies (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Colorectal Cancer Treatments and Studies (2 papers), Chronic Myeloid Leukemia Treatments (2 papers) and Estrogen and related hormone effects (2 papers). The work is most often cited by research in Oncology (163 citations), Otorhinolaryngology (24 citations), Genetics (59 citations), Cancer Research (65 citations) and Molecular Biology (210 citations). Ben Allal has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Étienne Chatelut, Philippe Rochaix, Jean‐Pierre Delord, Gilles Favre, Pierre Canal, Bettina Couderc, Isabelle Hennebelle, Fabienne Thomas, Justin Teissié and Arash Rafii. Their work appears in journals such as Clinical Cancer Research, British Journal of Cancer, Journal of Pharmaceutical and Biomedical Analysis, Pharmaceuticals and British Journal of Clinical Pharmacology.
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.