Yann Le Fur

5.2k total citations
139 papers, 3.9k citations indexed

About

Yann Le Fur is a scholar working on Radiology, Nuclear Medicine and Imaging, Complementary and alternative medicine and Biomedical Engineering. According to data from OpenAlex, Yann Le Fur has authored 139 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Radiology, Nuclear Medicine and Imaging, 43 papers in Complementary and alternative medicine and 25 papers in Biomedical Engineering. Recurrent topics in Yann Le Fur's work include Advanced MRI Techniques and Applications (59 papers), Cardiovascular and exercise physiology (42 papers) and Muscle activation and electromyography studies (24 papers). Yann Le Fur is often cited by papers focused on Advanced MRI Techniques and Applications (59 papers), Cardiovascular and exercise physiology (42 papers) and Muscle activation and electromyography studies (24 papers). Yann Le Fur collaborates with scholars based in France, United States and Switzerland. Yann Le Fur's 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 and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Yann Le Fur

135 papers receiving 3.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yann Le Fur France 34 1.2k 786 620 508 503 139 3.9k
Mats Bergström Sweden 55 3.3k 2.7× 1.4k 1.7× 273 0.4× 645 1.3× 231 0.5× 271 8.9k
Hsin‐Yi Huang Taiwan 32 103 0.1× 1.2k 1.5× 66 0.1× 182 0.4× 65 0.1× 103 3.0k
Ronald L. Hamilton United States 61 806 0.7× 3.9k 5.0× 212 0.3× 237 0.5× 131 0.3× 200 13.3k
Alasdair Coles United Kingdom 43 1.1k 0.9× 1.9k 2.5× 45 0.1× 184 0.4× 119 0.2× 199 13.4k
Mar Tintoré Spain 53 832 0.7× 1.2k 1.5× 31 0.1× 456 0.9× 139 0.3× 239 10.4k
Liselotte Højgaard Denmark 41 2.5k 2.1× 363 0.5× 43 0.1× 443 0.9× 60 0.1× 189 5.4k
Masahiro Maruyama Japan 36 201 0.2× 1.0k 1.3× 122 0.2× 645 1.3× 492 1.0× 158 5.0k
Andrew Goodman United States 49 287 0.2× 1.3k 1.6× 56 0.1× 93 0.2× 263 0.5× 149 7.8k
Yong Wook Kim South Korea 24 198 0.2× 615 0.8× 24 0.0× 83 0.2× 108 0.2× 256 2.4k
Bryan P. Schneider United States 37 819 0.7× 1.7k 2.1× 120 0.2× 160 0.3× 24 0.0× 165 6.3k

Countries citing papers authored by Yann Le Fur

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Nagarajan, Rajakumar, et al.. (2025). Mitochondrial efficiency in resting skeletal muscle in vivo: a novel non‐invasive approach using multinuclear magnetic resonance spectroscopy in humans. The Journal of Physiology. 603(6). 1503–1519. 1 indexed citations
2.
Giuriato, Gaia, et al.. (2024). Repeatability of alkaline inorganic phosphate quantification in the skeletal muscle using 31P‐magnetic resonance spectroscopy at 3 T. NMR in Biomedicine. 37(12). e5255–e5255. 1 indexed citations
3.
4.
Fur, Yann Le, Shahram Attarian, Tamar Blumenfeld‐Katzir, et al.. (2023). Estimation of subvoxel fat infiltration in neurodegenerative muscle disorders using quantitative multi‐T2 analysis. NMR in Biomedicine. 36(9). e4947–e4947. 5 indexed citations
5.
Piquereau, Jérôme, Lydie Nadal‐Desbarats, Sandra Même, et al.. (2019). Novel role of Tieg1 in muscle metabolism and mitochondrial oxidative capacities. Acta Physiologica. 228(3). e13394–e13394. 16 indexed citations
6.
Tonson, Anne, Émilie Pecchi, Christophe Vilmen, et al.. (2015). Capsiate Supplementation Reduces Oxidative Cost of Contraction in Exercising Mouse Skeletal Muscle In Vivo. PLoS ONE. 10(6). e0128016–e0128016. 21 indexed citations
7.
Fouré, Alexandre, Jennifer Wegrzyk, Yann Le Fur, et al.. (2014). Impaired Mitochondrial Function and Reduced Energy Cost as a Result of Muscle Damage. Medicine & Science in Sports & Exercise. 47(6). 1135–1144. 15 indexed citations
8.
Lutz, Norbert W., Yann Le Fur, Johanna Chiche, Jacques Pouysségur, & Patrick J. Cozzone. (2013). Quantitative In Vivo Characterization of Intracellular and Extracellular pH Profiles in Heterogeneous Tumors: A Novel Method Enabling Multiparametric pH Analysis. Cancer Research. 73(15). 4616–4628. 40 indexed citations
9.
Winter, Josine M. de, Christopher Kohl, Christian Witt, et al.. (2013). In vivo and in vitro investigations of heterozygous nebulin knock-out mice disclose a mild skeletal muscle phenotype. Neuromuscular Disorders. 23(4). 357–369. 21 indexed citations
10.
Viola, Angèle, S. Confort‐Gouny, Juliane Schneider, et al.. (2011). Is Brain Maturation Comparable in Fetuses and Premature Neonates at Term Equivalent Age?. American Journal of Neuroradiology. 32(8). 1451–1458. 17 indexed citations
11.
Simões, Rui V., Sandra Ortega‐Martorell, Teresa Delgado‐Goñi, et al.. (2010). Improving the classification of brain tumors in mice with perturbation enhanced (PE)-MRSI. BMC Proceedings. 4(S2). 2 indexed citations
12.
Layec, Gwenaël, Aurélien Bringard, Yann Le Fur, et al.. (2009). Reproducibility assessment of metabolic variables characterizing muscle energetics in Vivo: A 31P‐MRS study. Magnetic Resonance in Medicine. 62(4). 840–854. 64 indexed citations
13.
Confort‐Gouny, S., Yann Le Fur, Patrick Viout, et al.. (2007). Diffusion-weighted imaging in normal fetal brain maturation. European Radiology. 17(9). 2422–2429. 78 indexed citations
14.
Galanaud, Damien, Francesco Nicoli, S. Confort‐Gouny, et al.. (2007). Spectroscopie par résonance magnétique du proton. Quelles indications neurologiques en 2007 ?. Revue Neurologique. 163(3). 287–303. 4 indexed citations
15.
Fur, Yann Le, et al.. (2005). Finance d'entreprise. Dalloz eBooks. 10 indexed citations
16.
Hug, François, et al.. (2005). Metabolic Recovery in Professional Road Cyclists: A 31P-MRS Study. Medicine & Science in Sports & Exercise. 37(5). 846–852. 28 indexed citations
17.
Guye, Maxime, Jean‐Philippe Ranjeva, Yann Le Fur, et al.. (2005). 1H-MRS imaging in intractable frontal lobe epilepsies characterized by depth electrode recording. NeuroImage. 26(4). 1174–1183. 30 indexed citations
18.
Galanaud, Damien, François Nicoli, Yann Le Fur, et al.. (2002). [Contribution of magnetic resonance spectrometry to the diagnosis of intracranial tumors].. PubMed. 153(8). 491–8. 6 indexed citations
19.
Guye, Maxime, Yann Le Fur, Sylviane Confort‐Gouny, et al.. (2002). Metabolic and Electrophysiological Alterations in Subtypes of Temporal Lobe Epilepsy: A Combined Proton Magnetic Resonance Spectroscopic Imaging and Depth Electrodes Study. Epilepsia. 43(10). 1197–1209. 33 indexed citations
20.
Confort‐Gouny, Sylviane, et al.. (2001). Optimization of Residual Water Signal Removal by HLSVD on Simulated Short Echo Time Proton MR Spectra of the Human Brain. Journal of Magnetic Resonance. 150(2). 116–125. 74 indexed citations

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.

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