Yann Le Fur
- Radiology, Nuclear Medicine and Imaging top 1%
- Molecular Biology top 10%
- Complementary and alternative medicine top 0.5%
- Biomedical Engineering top 5%
- Orthopedics and Sports Medicine top 1%
- Co-authors
- Patrick J. CozzoneDavid BendahanSylviane Confort‐GounyBruno SolnikChristophe VilmenJean‐Philippe RanjevaGwenaël LayecPatrick Viout
- Topics
- Advanced MRI Techniques and Applications (59 papers)Cardiovascular and exercise physiology (42 papers)Muscle activation and electromyography studies (24 papers)
- Cited by
- Complementary and alternative medicineOrthopedics and Sports MedicineRadiology, Nuclear Medicine and Imaging
- Partner nations
- FranceUnited StatesSwitzerland
In The Last Decade
Yann Le Fur
135 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 144
- Radiology, Nuclear Medicine and Imaging 1.2k
- Molecular Biology 786
- Complementary and alternative medicine 620
- Biomedical Engineering 508
- Orthopedics and Sports Medicine 503
Countries citing papers authored by Yann Le Fur
This map shows the geographic impact of Yann Le Fur'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 Yann Le Fur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yann Le Fur more than expected).
Fields of papers citing papers by Yann Le Fur
This network shows the impact of papers produced by Yann Le Fur. 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 Yann Le Fur. The network helps show where Yann Le Fur may publish in the future.
Co-authorship network of co-authors of Yann Le Fur
This figure shows the co-authorship network connecting the top 25 collaborators of Yann Le Fur. A scholar is included among the top collaborators of Yann Le Fur 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 Yann Le Fur. Yann Le Fur is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 11 | |
| 4 | 16 | |
| 5 | 7 | |
| 6 | 4 | |
| 7 | 14 | |
| 8 | 40 | |
| 9 | 14 | |
| 10 | 64 | |
| 11 | 78 | |
| 12 | 77 | |
| 13 | 10 | |
| 14 | Finance d'entreprise | 10 |
| 15 | 30 | |
| 16 | [Contribution of magnetic resonance spectrometry to the diagnosis of intracranial tumors]. | 6 |
| 17 | 33 | |
| 18 | 74 | |
| 19 | 30 | |
| 20 | 7 |
About Yann Le Fur
Yann Le Fur is a scholar working on Complementary and alternative medicine, Radiology, Nuclear Medicine and Imaging and Orthopedics and Sports Medicine, having authored 139 papers that have together received 3.9k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (59 papers), Cardiovascular and exercise physiology (42 papers) and Muscle activation and electromyography studies (24 papers). The work is most often cited by research in Complementary and alternative medicine (620 citations), Orthopedics and Sports Medicine (503 citations) and Radiology, Nuclear Medicine and Imaging (1.2k citations). Yann Le Fur has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Patrick J. Cozzone, David Bendahan, Sylviane Confort‐Gouny, Bruno Solnik, Christophe Vilmen, Jean‐Philippe Ranjeva, Gwenaël Layec, Patrick Viout, Benoı̂t Giannesini and Angèle Viola. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neuroscience and PLoS ONE.
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.