Ben Allal

1.1k citations
32 papers · 918 indexed · h-index 20

Impact in

  • Oncology top 10%
    • HER2/EGFR in Cancer Research
    • Colorectal Cancer Treatments and Studies
    • Cancer-related Molecular Pathways

Papers in

    • Chronic Lymphocytic Leukemia Research 5
    • HER2/EGFR in Cancer Research 6
    • Colorectal Cancer Treatments and Studies 5
    • Cancer-related Molecular Pathways 3

Ben Allal

31 papers receiving 903 citations

Peers

Ben Allal
Comparison fields: 5 of 95
  • Oncology 347
  • Cancer Research 139
  • Molecular Biology 489
  • Genetics 66
  • Otorhinolaryngology 26
Replace Bea Pauwels with:
Bea Pauwels Belgium
Marie-Christine Bissery France
Michael J. Morin United States
Johannes Bange Germany
Banibrata Sen United States
V. М. Perelmuter Russia
М. V. Zavyalova Russia
Flonné Wildes United States
Nathan T. Ihle United States
J.R. Woodburn United Kingdom
Ben Allal relative to Bea Pauwels Belgium Bea Pauwels's profile →
Citations per field
00.5×1.5×1.8×
Bea Pauwels · 1×
Citations per year

Countries citing papers authored by Ben Allal

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ben Allal Line = papers co-authored together Ben Allal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20230
3 20214
4 201919
5 20196
6 201829
7 201812
8 201417
9 201145
10 201021
11 201020
12 201011
13 200967
14 200850
15 200842
16 200754
17 200089
18 199928
19 199810
20 199727

About Ben Allal

Ben Allal is a scholar working on Genetics, Oncology, Pathology and Forensic Medicine, Hematology and Molecular Biology, having authored 32 papers that have together received 918 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (6 papers), Chronic Lymphocytic Leukemia Research (5 papers), Lymphoma Diagnosis and Treatment (5 papers), Colorectal Cancer Treatments and Studies (5 papers), Cancer-related Molecular Pathways (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Chronic Myeloid Leukemia Treatments (3 papers) and Lung Cancer Treatments and Mutations (3 papers). The work is most often cited by research in Oncology (347 citations), Cancer Research (139 citations), Molecular Biology (489 citations), Genetics (66 citations) and Otorhinolaryngology (26 citations). Ben Allal has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Gilles Favre, Anne Pradines, Bettina Couderc, Philippe Rochaix, Jean‐Pierre Delord, Pierre Canal, Étienne Chatelut, Isabelle Hennebelle, Fabienne Thomas and R. Bugat. Their work appears in journals such as Clinical Cancer Research, British Journal of Cancer, Pharmaceuticals, Journal of Pharmaceutical and Biomedical Analysis and Proceedings of the National Academy of Sciences.

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.

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