Michel Modo

8.2k total citations
137 papers, 6.2k citations indexed

About

Michel Modo is a scholar working on Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging and Developmental Neuroscience. According to data from OpenAlex, Michel Modo has authored 137 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Cellular and Molecular Neuroscience, 33 papers in Radiology, Nuclear Medicine and Imaging and 33 papers in Developmental Neuroscience. Recurrent topics in Michel Modo's work include Neurogenesis and neuroplasticity mechanisms (33 papers), Advanced Neuroimaging Techniques and Applications (22 papers) and Neuroinflammation and Neurodegeneration Mechanisms (20 papers). Michel Modo is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (33 papers), Advanced Neuroimaging Techniques and Applications (22 papers) and Neuroinflammation and Neurodegeneration Mechanisms (20 papers). Michel Modo collaborates with scholars based in United Kingdom, United States and Germany. Michel Modo's co-authors include Jack Price, Steven Williams, Jeff W. M. Bulte, Stephen F. Badylak, Anthony C. Vernon, Harmanvir Ghuman, Mathias Hoehn, Thomas J. Meade, Saga Johansson and Helen Hodges and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature Biotechnology and PLoS ONE.

In The Last Decade

Michel Modo

134 papers receiving 6.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Michel Modo 1.8k 1.5k 1.2k 1.2k 1.1k 137 6.2k
Pavla Jendelová 1.6k 0.9× 1.9k 1.2× 1.1k 1.0× 1.1k 0.9× 998 0.9× 149 5.7k
Mathias Hoehn 1.9k 1.0× 1.3k 0.8× 959 0.8× 560 0.5× 898 0.8× 174 7.1k
Dwaine F. Emerich 2.3k 1.3× 2.7k 1.7× 999 0.8× 922 0.8× 1.1k 1.0× 185 7.2k
Martin Kanje 1.7k 0.9× 4.5k 2.9× 805 0.7× 600 0.5× 903 0.8× 174 6.9k
Eugenio Parati 4.5k 2.5× 1.6k 1.0× 618 0.5× 431 0.4× 2.1k 1.9× 188 9.6k
Wilfred F.A. den Dunnen 2.9k 1.6× 2.9k 1.9× 356 0.3× 487 0.4× 326 0.3× 177 7.6k
Philip J. Horner 2.9k 1.6× 2.0k 1.3× 401 0.3× 253 0.2× 1.4k 1.3× 96 6.4k
Mingrui Zhao 1.5k 0.8× 1.9k 1.3× 418 0.4× 234 0.2× 2.0k 1.8× 69 6.2k
Jürgen Hescheler 8.3k 4.6× 2.9k 1.9× 1.7k 1.4× 898 0.8× 761 0.7× 366 12.8k
Bobbi K. Lewis 1.2k 0.6× 274 0.2× 1.7k 1.4× 1.3k 1.1× 344 0.3× 48 4.9k

Countries citing papers authored by Michel Modo

Since Specialization
Citations

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

Fields of papers citing papers by Michel Modo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michel Modo

This figure shows the co-authorship network connecting the top 25 collaborators of Michel Modo. A scholar is included among the top collaborators of Michel Modo 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 Michel Modo. Michel Modo 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.
Aung, Thandar, et al.. (2025). Differential functional connectivity of amygdala in drug‐resistant temporal lobe epilepsy. Epilepsia. 66(6). 1945–1958.
2.
Hitchens, T. Kevin, et al.. (2025). Mesoscale connectivity of the human hippocampus and fimbria revealed by ex vivo diffusion MRI. NeuroImage. 310. 121125–121125. 1 indexed citations
3.
Modo, Michel, et al.. (2024). Ex-Vivo Hippocampus Segmentation Using Diffusion-Weighted MRI. Mathematics. 12(7). 940–940. 2 indexed citations
4.
Ghuman, Harmanvir, et al.. (2023). Acquisition and Analysis of Excised Neocortex from Pediatric Patients with Focal Cortical Dysplasia Using Mesoscale Diffusion MRI. Diagnostics. 13(9). 1529–1529. 1 indexed citations
5.
Modo, Michel, et al.. (2022). Mapping the acute time course of immune cell infiltration into an ECM hydrogel in a rat model of stroke using 19F MRI. Biomaterials. 282. 121386–121386. 15 indexed citations
6.
Ji, Xunming, Piotr Walczak, Heleen M.M. van Beusekom, et al.. (2022). Join us on an amazing journey towards next‐generation treatments for CNS disorders: Launch of Neuroprotection, a new high‐quality journal in translational neuroscience. SHILAP Revista de lepidopterología. 1(1). 1–4. 1 indexed citations
7.
8.
Modo, Michel. (2021). 19F Magnetic Resonance Imaging and Spectroscopy in Neuroscience. Neuroscience. 474. 37–50. 11 indexed citations
9.
Ghuman, Harmanvir, et al.. (2021). Physical therapy exerts sub-additive and suppressive effects on intracerebral neural stem cell implantation in a rat model of stroke. Journal of Cerebral Blood Flow & Metabolism. 42(5). 826–843. 9 indexed citations
10.
Kokkinos, Vasileios, et al.. (2021). Extrapial Hippocampal Resection in Anterior Temporal Lobectomy: Technical Description and Clinical Outcomes in a 62-Patient Case Series. Operative Neurosurgery. 21(5). 312–323. 2 indexed citations
11.
Ly, Maria, et al.. (2020). Mesoscale diffusion magnetic resonance imaging of the ex vivo human hippocampus. Human Brain Mapping. 41(15). 4200–4218. 21 indexed citations
12.
Ghuman, Harmanvir, et al.. (2020). ECM hydrogel improves the delivery of PEG microsphere-encapsulated neural stem cells and endothelial cells into tissue cavities caused by stroke. Brain Research Bulletin. 168. 120–137. 23 indexed citations
13.
Foley, Lesley M., et al.. (2020). Ex vivo mesoscopic diffusion MRI correlates with seizure frequency in patients with uncontrolled mesial temporal lobe epilepsy. Human Brain Mapping. 41(16). 4529–4548. 14 indexed citations
14.
Ghuman, Harmanvir, et al.. (2018). Ex vivo biomechanical characterization of syringe-needle ejections for intracerebral cell delivery. Scientific Reports. 8(1). 9194–9194. 46 indexed citations
15.
Modo, Michel, William R. Crum, Anthony C. Vernon, et al.. (2017). Magnetic resonance imaging and tensor-based morphometry in the MPTP non-human primate model of Parkinson’s disease. PLoS ONE. 12(7). e0180733–e0180733. 13 indexed citations
16.
Amer, Mahetab H., Felicity R. A. J. Rose, Kevin M. Shakesheff, Michel Modo, & Lisa J. White. (2017). Translational considerations in injectable cell-based therapeutics for neurological applications: concepts, progress and challenges. npj Regenerative Medicine. 2(1). 23–23. 139 indexed citations
17.
Rattray, Ivan, Edward J. Smith, William R. Crum, et al.. (2017). Correlations of Behavioral Deficits with Brain Pathology Assessed through Longitudinal MRI and Histopathology in the HdhQ150/Q150 Mouse Model of Huntington’s Disease. PLoS ONE. 12(1). e0168556–e0168556. 19 indexed citations
18.
Ghuman, Harmanvir, André Ricardo Massensini, Julia Donnelly, et al.. (2016). ECM hydrogel for the treatment of stroke: Characterization of the host cell infiltrate. Biomaterials. 91. 166–181. 118 indexed citations
19.
Nicholls, Francesca J., Matthew W. Rotz, Harmanvir Ghuman, et al.. (2015). DNA–gadolinium–gold nanoparticles for in vivo T1 MR imaging of transplanted human neural stem cells. Biomaterials. 77. 291–306. 75 indexed citations
20.
Modo, Michel, et al.. (2011). Magnetic Resonance Neuroimaging. Methods in molecular biology. 38 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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