Benoît Bilanges
- Genetics top 5%
- Genetic Syndromes and Imprinting 4
- Molecular Biology top 5%
- PI3K/AKT/mTOR signaling in cancer 7
- Epigenetics and DNA Methylation 4
- Metabolism, Diabetes, and Cancer 4
- Aging top 5%
- Cell Biology top 5%
- Cellular transport and secretion 4
- Physiology top 5%
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- Pancreatic function and diabetes 6
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- Cancer-related Molecular Pathways 4
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- Autophagy in Disease and Therapy 3
- Co-authors
- Bart VanhaesebroeckJulie Guillermet‐GuibertMariona GrauperaYork PosorDavid StokoeLaurent JournotJoël BockaertDietmar Spengler
- Cited by
- GeneticsMolecular BiologyAging
- Journals
- Journal of Biological Chemistry (3 papers)Oncogene (3 papers)Nature Communications (2 papers)
- Partner nations
- United KingdomFranceUnited States
In The Last Decade
Benoît Bilanges
27 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Genetics 349
- Molecular Biology 2.0k
- Aging 44
- Cell Biology 322
- Physiology 79
Countries citing papers authored by Benoît Bilanges
This map shows the geographic impact of Benoît Bilanges'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 Bilanges with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benoît Bilanges more than expected).
Fields of papers citing papers by Benoît Bilanges
This network shows the impact of papers produced by Benoît Bilanges. 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 Bilanges. The network helps show where Benoît Bilanges may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Benoît Bilanges, 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 | 2024 | 2 | |
| 2 | 2024 | 5 | |
| 3 | 2022 | 20 | |
| 4 | 2019 | 10 | |
| 5 | 2019 | 8 | |
| 6 | PI3K isoforms in cell signalling and vesicle traffickingbreakdown → | 2019 | 363 |
| 7 | 2018 | 23 | |
| 8 | 2017 | 38 | |
| 9 | 2016 | 25 | |
| 10 | 2015 | 62 | |
| 11 | 2014 | 31 | |
| 12 | 2014 | 16 | |
| 13 | The emerging mechanisms of isoform-specific PI3K signallingbreakdown → | 2010 | 1376 |
| 14 | 2007 | 67 | |
| 15 | 2007 | 48 | |
| 16 | 2004 | 9 | |
| 17 | 2001 | 56 | |
| 18 | 2001 | 42 | |
| 19 | 1999 | 87 | |
| 20 | 1996 | 193 |
About Benoît Bilanges
Benoît Bilanges is a scholar working on Molecular Biology, Cell Biology and Physiology, having authored 27 papers that have together received 2.9k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (7 papers), Pancreatic function and diabetes (6 papers), Genetic Syndromes and Imprinting (4 papers), Epigenetics and DNA Methylation (4 papers), Cellular transport and secretion (4 papers), Cancer-related Molecular Pathways (4 papers), Metabolism, Diabetes, and Cancer (4 papers) and Autophagy in Disease and Therapy (3 papers). The work is most often cited by research in Genetics (349 citations), Molecular Biology (2.0k citations) and Aging (44 citations). Benoît Bilanges has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Bart Vanhaesebroeck, Julie Guillermet‐Guibert, Mariona Graupera, York Posor, David Stokoe, Laurent Journot, Joël Bockaert, Dietmar Spengler, C. Pantaloni and Annie Varrault. Their work appears in journals such as Journal of Biological Chemistry, Oncogene, Nature Communications, Nature Reviews Molecular Cell Biology and Biochemical Journal.
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.