François‐Xavier Cantrelle
- Molecular Biology top 10%
- Physiology top 5%
- Cell Biology top 5%
- Cellular and Molecular Neuroscience top 10%
- Pharmacology top 10%
- Co-authors
- Isabelle LandrieuGuy LippensCaroline Smet‐NoccaHaoling QiIsabelle HuventBéatrice ChambraudClément DespresXavier Hanoulle
- Topics
- Alzheimer's disease research and treatments (18 papers)Protein Structure and Dynamics (16 papers)Computational Drug Discovery Methods (7 papers)
- Cited by
- PhysiologyCell BiologyNeurology
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- FranceUnited StatesAustralia
In The Last Decade
François‐Xavier Cantrelle
69 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 101
- Molecular Biology 929
- Physiology 549
- Cell Biology 228
- Cellular and Molecular Neuroscience 178
- Pharmacology 123
Countries citing papers authored by François‐Xavier Cantrelle
This map shows the geographic impact of François‐Xavier Cantrelle'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 François‐Xavier Cantrelle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites François‐Xavier Cantrelle more than expected).
Fields of papers citing papers by François‐Xavier Cantrelle
This network shows the impact of papers produced by François‐Xavier Cantrelle. 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 François‐Xavier Cantrelle. The network helps show where François‐Xavier Cantrelle may publish in the future.
Co-authorship network of co-authors of François‐Xavier Cantrelle
This figure shows the co-authorship network connecting the top 25 collaborators of François‐Xavier Cantrelle. A scholar is included among the top collaborators of François‐Xavier Cantrelle based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with François‐Xavier Cantrelle. François‐Xavier Cantrelle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 37 | |
| 9 | 27 | |
| 10 | 30 | |
| 11 | 1 | |
| 12 | 6 | |
| 13 | 7 | |
| 14 | 33 | |
| 15 | 107 | |
| 16 | 43 | |
| 17 | 27 | |
| 18 | 48 | |
| 19 | 28 | |
| 20 | 32 |
About François‐Xavier Cantrelle
François‐Xavier Cantrelle is a scholar working on Physiology, Molecular Biology and Cell Biology, having authored 71 papers that have together received 1.4k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (18 papers), Protein Structure and Dynamics (16 papers) and Computational Drug Discovery Methods (7 papers). The work is most often cited by research in Physiology (549 citations), Cell Biology (228 citations) and Neurology (114 citations). François‐Xavier Cantrelle has collaborated with scholars based in France, United States and Australia. Frequent co-authors include Isabelle Landrieu, Guy Lippens, Caroline Smet‐Nocca, Haoling Qi, Isabelle Huvent, Béatrice Chambraud, Clément Despres, Xavier Hanoulle, Yves Jacquot and Cillian Byrne. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.