Gaëtan Chicanne
- Hematology top 2%
- Platelet Disorders and Treatments 17
- Cell Biology top 2%
- Cellular transport and secretion 23
- Physiology top 2%
- Molecular Biology top 5%
- PI3K/AKT/mTOR signaling in cancer 11
- Lipid Membrane Structure and Behavior 6
- Metabolism, Diabetes, and Cancer 5
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research 4
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- Autophagy in Disease and Therapy 6
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- Pancreatic function and diabetes 5
- Co-authors
- Bernard PayrastreFrédérique Gaits‐IacovoniMarie‐Pierre GratacapCécile DemurHélène TronchèreBruno AntonnyV. DelfosseWilliam Bourguet
- Cited by
- HematologyCell BiologyPhysiology
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (2 papers)Nature Communications (2 papers)
- Partner nations
- FranceUnited KingdomUnited States
In The Last Decade
Gaëtan Chicanne
56 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 100
- Hematology 546
- Cell Biology 743
- Physiology 131
- Molecular Biology 1.4k
- Genetics 212
Countries citing papers authored by Gaëtan Chicanne
This map shows the geographic impact of Gaëtan Chicanne'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 Gaëtan Chicanne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaëtan Chicanne more than expected).
Fields of papers citing papers by Gaëtan Chicanne
This network shows the impact of papers produced by Gaëtan Chicanne. 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 Gaëtan Chicanne. The network helps show where Gaëtan Chicanne may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gaëtan Chicanne, 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 | 5 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 8 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 6 | |
| 6 | 2021 | 19 | |
| 7 | 2020 | 0 | |
| 8 | 2020 | 24 | |
| 9 | 2020 | 11 | |
| 10 | 2019 | 5 | |
| 11 | 2018 | 27 | |
| 12 | 2017 | 22 | |
| 13 | 2016 | 35 | |
| 14 | 2016 | 4 | |
| 15 | 2015 | 72 | |
| 16 | 2013 | 26 | |
| 17 | 2011 | 91 | |
| 18 | 2011 | 21 | |
| 19 | 2007 | 15 | |
| 20 | 2006 | 143 |
About Gaëtan Chicanne
Gaëtan Chicanne is a scholar working on Hematology, Cell Biology and Physiology, having authored 57 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cellular transport and secretion (23 papers), Platelet Disorders and Treatments (17 papers), PI3K/AKT/mTOR signaling in cancer (11 papers), Lipid Membrane Structure and Behavior (6 papers), Autophagy in Disease and Therapy (6 papers), Metabolism, Diabetes, and Cancer (5 papers), Pancreatic function and diabetes (5 papers) and Chronic Lymphocytic Leukemia Research (4 papers). The work is most often cited by research in Hematology (546 citations), Cell Biology (743 citations) and Physiology (131 citations). Gaëtan Chicanne has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Bernard Payrastre, Frédérique Gaits‐Iacovoni, Marie‐Pierre Gratacap, Cécile Demur, Hélène Tronchère, Bruno Antonny, V. Delfosse, William Bourguet, Dominique Douguet and Guillaume Drin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.