Christophe Lenglet

7.4k total citations · 1 hit paper
101 papers, 3.5k citations indexed

About

Christophe Lenglet is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Orthopedics and Sports Medicine. According to data from OpenAlex, Christophe Lenglet has authored 101 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Radiology, Nuclear Medicine and Imaging, 22 papers in Cognitive Neuroscience and 14 papers in Orthopedics and Sports Medicine. Recurrent topics in Christophe Lenglet's work include Advanced Neuroimaging Techniques and Applications (87 papers), Advanced MRI Techniques and Applications (55 papers) and MRI in cancer diagnosis (26 papers). Christophe Lenglet is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (87 papers), Advanced MRI Techniques and Applications (55 papers) and MRI in cancer diagnosis (26 papers). Christophe Lenglet collaborates with scholars based in United States, France and United Kingdom. Christophe Lenglet's co-authors include Guillermo Sapiro, Essa Yacoub, Rachid Deriche, Kâmil Uǧurbil, Noam Harel, Iman Aganj, Steen Moeller, Mikaël Rousson, Stamatios N. Sotiropoulos and Jesper Andersson and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Christophe Lenglet

99 papers receiving 3.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Advances in diffusion MRI acquisition and processing in the Human Connectome Project

2013 627 citations Stamatios N. Sotiropoulos, Saâd Jbabdi et al. NeuroImage profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christophe Lenglet United States	29	2.7k	1.1k	452	352	267	101	3.5k
Carl‐Fredrik Westin United States	26	2.7k 1.0×	715 0.6×	434 1.0×	130 0.4×	384 1.4×	69	3.2k
Jelle Veraart United States	38	4.7k 1.7×	1.1k 1.0×	691 1.5×	380 1.1×	829 3.1×	92	6.0k
Lauren J. O’Donnell United States	36	3.4k 1.2×	1.1k 1.0×	1.2k 2.6×	339 1.0×	206 0.8×	142	4.6k
Yogesh Rathi United States	41	3.7k 1.4×	1.5k 1.3×	896 2.0×	873 2.5×	250 0.9×	223	5.8k
C.-F. Westin United States	23	2.4k 0.9×	779 0.7×	467 1.0×	485 1.4×	123 0.5×	41	3.9k
Tim B. Dyrby Denmark	31	3.1k 1.1×	1.2k 1.1×	542 1.2×	263 0.7×	481 1.8×	102	4.0k
Marco Reisert Germany	30	2.3k 0.8×	1.4k 1.2×	396 0.9×	1.1k 3.2×	162 0.6×	225	4.4k
Alan Barnett United States	32	4.7k 1.7×	1.5k 1.3×	1.1k 2.5×	588 1.7×	471 1.8×	53	6.3k
David S. Tuch United States	32	5.6k 2.0×	2.4k 2.2×	1.3k 2.8×	757 2.2×	571 2.1×	54	7.3k
Carl‐Fredrik Westin United States	48	5.3k 2.0×	2.3k 2.1×	1.3k 2.8×	456 1.3×	279 1.0×	185	7.5k

Countries citing papers authored by Christophe Lenglet

Since Specialization

Citations

This map shows the geographic impact of Christophe Lenglet'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 Christophe Lenglet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christophe Lenglet more than expected).

Fields of papers citing papers by Christophe Lenglet

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christophe Lenglet. 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 Christophe Lenglet. The network helps show where Christophe Lenglet may publish in the future.

Co-authorship network of co-authors of Christophe Lenglet

This figure shows the co-authorship network connecting the top 25 collaborators of Christophe Lenglet. A scholar is included among the top collaborators of Christophe Lenglet 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 Christophe Lenglet. Christophe Lenglet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Kauppinen, Risto A., Mervi Könönen, Pramod Kumar Pisharady, et al.. (2025). Fiber orientation‐dependent T₁ angular features in human white matter at 1.5 T, 3 T, and 7 T. Magnetic Resonance in Medicine. 94(6). 2611–2623.

Pisharady, Pramod Kumar, Lynn E. Eberly, Isaac Adanyeguh, et al.. (2023). Multimodal MRI improves diagnostic accuracy and sensitivity to longitudinal change in amyotrophic lateral sclerosis. SHILAP Revista de lepidopterología. 3(1). 84–84. 6 indexed citations

Adanyeguh, Isaac, James M. Joers, Dinesh K. Deelchand, et al.. (2023). Brain MRI detects early-stage alterations and disease progression in Friedreich ataxia. Brain Communications. 5(4). fcad196–fcad196. 5 indexed citations

Kauppinen, Risto A., Pramod Kumar Pisharady, Mikko I. Kettunen, et al.. (2023). Axon fiber orientation as the source of T₁ relaxation anisotropy in white matter: A study on corpus callosum in vivo and ex vivo. Magnetic Resonance in Medicine. 90(2). 708–721. 9 indexed citations

Patriat, Rémi, Pramod Kumar Pisharady, Michael J. Howell, et al.. (2022). White matter microstructure in Parkinson’s disease with and without elevated rapid eye movement sleep muscle tone. Brain Communications. 4(2). fcac027–fcac027. 4 indexed citations

Joers, James M., Isaac Adanyeguh, Dinesh K. Deelchand, et al.. (2022). Spinal cord magnetic resonance imaging and spectroscopy detect early-stage alterations and disease progression in Friedreich ataxia. Brain Communications. 4(5). fcac246–fcac246. 7 indexed citations

Grier, Mark D., Essa Yacoub, Gregor Adriany, et al.. (2022). Ultra-high field (10.5T) diffusion-weighted MRI of the macaque brain. NeuroImage. 255. 119200–119200. 10 indexed citations

Bereiter, David A., et al.. (2022). Altered brain responses to noxious dentoalveolar stimuli in high-impact temporomandibular disorder pain patients. PLoS ONE. 17(10). e0266349–e0266349. 2 indexed citations

Valošek, Jan, René Labounek, Tomáš Horák, et al.. (2021). Diffusion magnetic resonance imaging reveals tract‐specific microstructural correlates of electrophysiological impairments in non‐myelopathic and myelopathic spinal cord compression. European Journal of Neurology. 28(11). 3784–3797. 16 indexed citations

10.

Pisharady, Pramod Kumar, Lynn E. Eberly, Ian Cheong, et al.. (2020). Tract-specific analysis improves sensitivity of spinal cord diffusion MRI to cross-sectional and longitudinal changes in amyotrophic lateral sclerosis. Communications Biology. 3(1). 14 indexed citations

11.

Moeller, Steen, Pramod Kumar Pisharady, Sudhir Ramanna, et al.. (2020). NOise reduction with DIstribution Corrected (NORDIC) PCA in dMRI with complex-valued parameter-free locally low-rank processing. NeuroImage. 226. 117539–117539. 77 indexed citations

12.

Park, Young Woo, James M. Joers, Bin Guo, et al.. (2020). Assessment of Cerebral and Cerebellar White Matter Microstructure in Spinocerebellar Ataxias 1, 2, 3, and 6 Using Diffusion MRI. Frontiers in Neurology. 11. 411–411. 19 indexed citations

13.

Rockswold, Sarah B., Philip Burton, Amy Chang, et al.. (2018). Functional Magnetic Resonance Imaging and Oculomotor Dysfunction in Mild Traumatic Brain Injury. Journal of Neurotrauma. 36(7). 1099–1105. 13 indexed citations

14.

Sotiropoulos, Stamatios N., Moisés Hernández-Fernández, An T. Vu, et al.. (2016). Fusion in diffusion MRI for improved fibre orientation estimation: An application to the 3T and 7T data of the Human Connectome Project. NeuroImage. 134. 396–409. 70 indexed citations

15.

Sotiropoulos, Stamatios N., Steen Moeller, Saâd Jbabdi, et al.. (2013). Effects of image reconstruction on fiber orientation mapping from multichannel diffusion MRI: Reducing the noise floor using SENSE. Magnetic Resonance in Medicine. 70(6). 1682–1689. 142 indexed citations

16.

Zhan, Liang, Bryon A. Mueller, Neda Jahanshad, et al.. (2012). Magnetic Resonance Field Strength Effects on Diffusion Measures and Brain Connectivity Networks. Brain Connectivity. 3(1). 72–86. 29 indexed citations

17.

Jahanshad, Neda, Iman Aganj, Christophe Lenglet, et al.. (2011). Sex differences in the human connectome: 4-Tesla high angular resolution diffusion imaging (HARDI) tractography in 234 young adult twins. Queensland's institutional digital repository (The University of Queensland). 14 indexed citations

18.

Caruyer, Emmanuel, Jian Cheng, Christophe Lenglet, et al.. (2011). Optimal Design of Multiple Q-shells experiments for Diffusion MRI. HAL (Le Centre pour la Communication Scientifique Directe). 63(12). 1639–1647. 18 indexed citations

19.

Lenglet, Christophe, Rachid Deriche, & Olivier Faugeras. (2004). Inferring white matter geometry from diffusion tensor MRI: Application to connectivity mapping. Lecture notes in computer science. 3024. 127–140. 5 indexed citations

20.

Lenglet, Christophe, Rachid Deriche, & Olivier Faugeras. (2003). Diffusion Tensor Magnetic Resonance Imaging : Brain Connectivity Mapping. HAL (Le Centre pour la Communication Scientifique Directe). 22(2). 135–7. 8 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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