Luis Concha

8.1k total citations · 2 hit papers
97 papers, 4.7k citations indexed

About

Luis Concha is a scholar working on Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health and Cognitive Neuroscience. According to data from OpenAlex, Luis Concha has authored 97 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Radiology, Nuclear Medicine and Imaging, 27 papers in Pediatrics, Perinatology and Child Health and 27 papers in Cognitive Neuroscience. Recurrent topics in Luis Concha's work include Advanced Neuroimaging Techniques and Applications (43 papers), Epilepsy research and treatment (22 papers) and Fetal and Pediatric Neurological Disorders (20 papers). Luis Concha is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (43 papers), Epilepsy research and treatment (22 papers) and Fetal and Pediatric Neurological Disorders (20 papers). Luis Concha collaborates with scholars based in Mexico, Canada and United States. Luis Concha's co-authors include Christian Beaulieu, Donald Gross, Alan C. Evans, Gaolang Gong, Catherine Lebel, Yong He, B. Matt Wheatley, Boris C. Bernhardt, Neda Bernasconi and D. Louis Collins and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Luis Concha

91 papers receiving 4.7k citations

Hit Papers

Mapping Anatomical Connectivity Patterns of Human Cerebra... 2008 2026 2014 2020 2008 2013 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luis Concha Mexico 33 2.7k 2.1k 1.3k 977 506 97 4.7k
Jonathan O’Muircheartaigh United Kingdom 38 1.7k 0.6× 1.7k 0.8× 1.2k 0.9× 1.4k 1.4× 435 0.9× 88 4.2k
Andréia V. Faria United States 34 3.4k 1.2× 2.5k 1.2× 955 0.7× 983 1.0× 389 0.8× 135 5.9k
Kegang Hua United States 10 3.8k 1.4× 2.0k 0.9× 873 0.7× 976 1.0× 240 0.5× 11 4.9k
Philip A. Boulby United Kingdom 23 2.5k 0.9× 1.9k 0.9× 982 0.7× 835 0.9× 444 0.9× 30 3.9k
David F. Abbott Australia 48 1.6k 0.6× 3.3k 1.6× 2.0k 1.5× 559 0.6× 674 1.3× 126 5.7k
Marko Wilke Germany 42 2.0k 0.7× 3.6k 1.7× 1.8k 1.4× 1.3k 1.3× 321 0.6× 99 6.3k
Tsutomu Takahashi Japan 40 1.9k 0.7× 2.9k 1.4× 2.3k 1.7× 458 0.5× 435 0.9× 181 5.4k
Brian Patenaude United States 14 2.0k 0.7× 2.3k 1.1× 834 0.6× 327 0.3× 530 1.0× 18 5.0k
Hao Huang United States 42 4.4k 1.6× 2.7k 1.3× 729 0.5× 2.3k 2.4× 345 0.7× 107 6.8k
Simon S. Keller United Kingdom 33 1.3k 0.5× 1.8k 0.9× 1.7k 1.3× 692 0.7× 803 1.6× 106 3.5k

Countries citing papers authored by Luis Concha

Since Specialization
Citations

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

Fields of papers citing papers by Luis Concha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luis Concha

This figure shows the co-authorship network connecting the top 25 collaborators of Luis Concha. A scholar is included among the top collaborators of Luis Concha 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 Luis Concha. Luis Concha 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.
Royer, Jessica, Raúl Rodríguez‐Cruces, Linda Horwood, et al.. (2025). Temporal Lobe Epilepsy Perturbs the Brain‐Wide Excitation‐Inhibition Balance: Associations with Microcircuit Organization, Clinical Parameters, and Cognitive Dysfunction. Advanced Science. 12(9). e2406835–e2406835. 6 indexed citations
2.
Concha, Luis, et al.. (2024). Light-weight neural network for intra-voxel structure analysis. Frontiers in Neuroinformatics. 18. 1277050–1277050.
3.
Kasper, Burkhard S., John S. Archer, Boris C. Bernhardt, et al.. (2024). ILAE neuroimaging task force highlight: Subcortical laminar heterotopia. Epileptic Disorders. 26(2). 225–232. 1 indexed citations
4.
Méndez‐Zavala, Alejandro, Nelly Villalobos, Marisela Hernández, et al.. (2023). Standardizing an Experimental Murine Model of Extraparenchymal Neurocysticercosis That Immunologically Resembles Human Infection. Brain Sciences. 13(7). 1021–1021. 3 indexed citations
5.
Fiordelisio, Tatiana, et al.. (2023). Altered functional connectivity and network excitability in a model of cortical dysplasia. Scientific Reports. 13(1). 12335–12335. 3 indexed citations
6.
Ramírez-Manzanares, Alonso, et al.. (2023). Differentiation of white matter histopathology using b-tensor encoding and machine learning. PLoS ONE. 18(6). e0282549–e0282549.
7.
Luna‐Munguía, Hiram, et al.. (2023). Multi-tensor diffusion abnormalities of gray matter in an animal model of cortical dysplasia. Frontiers in Neurology. 14. 1124282–1124282. 3 indexed citations
9.
Ortiz, Juan Carlos, et al.. (2022). Brain circuits activated by female sexual behavior evaluated by manganese enhanced magnetic resonance imaging. PLoS ONE. 17(8). e0272271–e0272271. 3 indexed citations
11.
Santana-Martínez, Ricardo A., Ruth Rincón-Heredia, Perla Moreno‐Castilla, et al.. (2021). Improved post-stroke spontaneous recovery by astrocytic extracellular vesicles. Molecular Therapy. 30(2). 798–815. 28 indexed citations
12.
Aranda, Marcos L., et al.. (2020). Chronobiotic effect of melatonin in experimental optic neuritis. Neuropharmacology. 182. 108401–108401. 3 indexed citations
13.
Orozco‐Suárez, Sandra, et al.. (2020). Sodium Cromoglycate Decreases Sensorimotor Impairment and Hippocampal Alterations Induced by Severe Traumatic Brain Injury in Rats. Journal of Neurotrauma. 37(23). 2595–2603. 7 indexed citations
14.
Liedtke, Wolfgang, et al.. (2019). TRPV4 inhibition prevents increased water diffusion and blood-retina barrier breakdown in the retina of streptozotocin-induced diabetic mice. PLoS ONE. 14(5). e0212158–e0212158. 23 indexed citations
15.
Ramírez-Manzanares, Alonso, José L. Marroquín, Marcos L. Aranda, et al.. (2019). Histological and diffusion-weighted magnetic resonance imaging data from normal and degenerated optic nerve and chiasm of the rat. SHILAP Revista de lepidopterología. 26. 104399–104399. 1 indexed citations
16.
Larriva‐Sahd, Jorge, et al.. (2019). On the existence of mechanoreceptors within the neurovascular unit of the mammalian brain. Brain Structure and Function. 224(6). 2247–2267. 2 indexed citations
17.
Gong, Gaolang, Yong He, Luis Concha, et al.. (2008). Mapping Anatomical Connectivity Patterns of Human Cerebral Cortex Using In Vivo Diffusion Tensor Imaging Tractography. Cerebral Cortex. 19(3). 524–536. 888 indexed citations breakdown →
18.
Concha, Luis, Christian Beaulieu, B. Matt Wheatley, & Donald Gross. (2007). Bilateral White Matter Diffusion Changes Persist after Epilepsy Surgery. Epilepsia. 48(5). 931–940. 79 indexed citations
19.
Concha, Luis, Donald Gross, B. Matt Wheatley, & Christian Beaulieu. (2006). Diffusion tensor imaging of time-dependent axonal and myelin degradation after corpus callosotomy in epilepsy patients. NeuroImage. 32(3). 1090–1099. 230 indexed citations
20.
Concha, Luis, Christian Beaulieu, & Donald Gross. (2004). Bilateral limbic diffusion abnormalities in unilateral temporal lobe epilepsy. Annals of Neurology. 57(2). 188–196. 216 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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