Benoît Hastoy
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
-
- Diabetes Management and Research
Papers in
- Surgery 13
- Pancreatic function and diabetes 12
-
- Metabolism, Diabetes, and Cancer 5
- Lipid Membrane Structure and Behavior 3
- Co-authors
- Patrik Rorsman (10 shared papers)Anne Clark (7 shared papers)Daniel P. Raleigh (1 shared paper)Xiaoxue Zhang (1 shared paper)Quan Zhang (3 shared papers)Julie Kerr‐Conte (1 shared paper)Mihaela Zavolan (1 shared paper)Jean Hausser (1 shared paper)
- Journals
- Cell Reports (3 papers)Scientific Reports (2 papers)Diabetes (2 papers)iScience (1 paper)Nature Genetics (1 paper)
- Partner nations
- United KingdomFranceSweden
In The Last Decade
Benoît Hastoy
18 papers receiving 777 citations
Peers
Comparison fields: 5 of 81
- Cancer Research 175
- Endocrinology, Diabetes and Metabolism 174
- Surgery 387
- Genetics 186
- Molecular Biology 430
Countries citing papers authored by Benoît Hastoy
This map shows the geographic impact of Benoît Hastoy'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 Hastoy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benoît Hastoy more than expected).
Fields of papers citing papers by Benoît Hastoy
This network shows the impact of papers produced by Benoît Hastoy. 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 Hastoy. The network helps show where Benoît Hastoy may publish in the future.
Co-authors
The 25 scholars most cited alongside Benoît Hastoy, 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 | 2014 | 235 | |
| 2 | 2019 | 119 | |
| 3 | 2017 | 104 | |
| 4 | 2018 | 62 | |
| 5 | 2014 | 58 | |
| 6 | 2016 | 46 | |
| 7 | 2018 | 45 | |
| 8 | 2018 | 26 | |
| 9 | 2017 | 26 | |
| 10 | 2018 | 18 | |
| 11 | 2017 | 17 | |
| 12 | 2018 | 10 | |
| 13 | 2021 | 7 | |
| 14 | 2024 | 6 | |
| 15 | 2022 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2023 | 1 |
About Benoît Hastoy
Benoît Hastoy is a scholar working on Surgery, Molecular Biology, Endocrinology, Diabetes and Metabolism, Cell Biology and Cellular and Molecular Neuroscience, having authored 18 papers that have together received 786 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (12 papers), Metabolism, Diabetes, and Cancer (5 papers), Cellular transport and secretion (4 papers), Lipid Membrane Structure and Behavior (3 papers), MicroRNA in disease regulation (2 papers), Diabetes Management and Research (2 papers), Diabetes Treatment and Management (2 papers) and Photoreceptor and optogenetics research (2 papers). The work is most often cited by research in Cancer Research (175 citations), Endocrinology, Diabetes and Metabolism (174 citations), Surgery (387 citations), Genetics (186 citations) and Molecular Biology (430 citations). Benoît Hastoy has collaborated with scholars based in United Kingdom, France and Sweden. Frequent co-authors include Patrik Rorsman, Anne Clark, Daniel P. Raleigh, Xiaoxue Zhang, Quan Zhang, Julie Kerr‐Conte, Mihaela Zavolan, Jean Hausser, Mathieu Latreille and François Pattou. Their work appears in journals such as Cell Reports, Scientific Reports, Diabetes, iScience and Nature Genetics.
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.