Benoît Quilichini
Impact in
- Genetics top 10%
- Glioma Diagnosis and Treatment
-
- Cancer, Hypoxia, and Metabolism
- Cancer Genomics and Diagnostics
Papers in
- Genetics 9
- Glioma Diagnosis and Treatment 7
- Chronic Lymphocytic Leukemia Research 2
-
- Protein Degradation and Inhibitors 2
- Co-authors
- Dominique Figarella‐Branger (9 shared papers)Carole Colin (6 shared papers)Corinne Bouvier (5 shared papers)A. Maues de Paula (3 shared papers)Philippe Métellus (5 shared papers)Shiyu Tong (1 shared paper)Nathalie Baeza (2 shared papers)C. Fernandez (2 shared papers)
- Journals
- Child s Nervous System (2 papers)American Journal of Clinical Pathology (2 papers)Genes Chromosomes and Cancer (1 paper)Cytopathology (1 paper)BMC Cancer (1 paper)
- Partner nations
- FranceBelgiumUnited Kingdom
In The Last Decade
Benoît Quilichini
21 papers receiving 238 citations
Peers
Comparison fields: 5 of 42
- Genetics 122
- Cancer Research 53
- Neurology 52
- Developmental Neuroscience 13
- Hematology 31
Countries citing papers authored by Benoît Quilichini
This map shows the geographic impact of Benoît Quilichini'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 Benoît Quilichini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benoît Quilichini more than expected).
Fields of papers citing papers by Benoît Quilichini
This network shows the impact of papers produced by Benoît Quilichini. 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 Benoît Quilichini. The network helps show where Benoît Quilichini may publish in the future.
Co-authors
The 25 scholars most cited alongside Benoît Quilichini, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 37 | |
| 2 | 2008 | 26 | |
| 3 | 2006 | 25 | |
| 4 | 2006 | 20 | |
| 5 | 2004 | 18 | |
| 6 | 2022 | 17 | |
| 7 | 2010 | 17 | |
| 8 | 2007 | 12 | |
| 9 | 2005 | 11 | |
| 10 | 2005 | 10 | |
| 11 | 2013 | 10 | |
| 12 | 2006 | 7 | |
| 13 | 2016 | 7 | |
| 14 | 2015 | 7 | |
| 15 | 2019 | 5 | |
| 16 | 2006 | 3 | |
| 17 | 2022 | 3 | |
| 18 | 2023 | 2 | |
| 19 | 2025 | 2 | |
| 20 | 2005 | 2 |
About Benoît Quilichini
Benoît Quilichini is a scholar working on Genetics, Molecular Biology, Pathology and Forensic Medicine, Oncology and Public Health, Environmental and Occupational Health, having authored 22 papers that have together received 242 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (7 papers), Acute Lymphoblastic Leukemia research (4 papers), Cancer Genomics and Diagnostics (3 papers), Meningioma and schwannoma management (3 papers), Multiple Myeloma Research and Treatments (3 papers), Protein Degradation and Inhibitors (2 papers), Acute Myeloid Leukemia Research (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Genetics (122 citations), Cancer Research (53 citations), Neurology (52 citations), Developmental Neuroscience (13 citations) and Hematology (31 citations). Benoît Quilichini has collaborated with scholars based in France, Belgium and United Kingdom. Frequent co-authors include Dominique Figarella‐Branger, Carole Colin, Corinne Bouvier, A. Maues de Paula, Philippe Métellus, Shiyu Tong, Nathalie Baeza, C. Fernandez, Pascale Durbec and G. Léna. Their work appears in journals such as Child s Nervous System, American Journal of Clinical Pathology, Genes Chromosomes and Cancer, Cytopathology and BMC 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.