Michel Baudry

27.5k total citations · 3 hit papers
401 papers, 23.0k citations indexed

About

Michel Baudry is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cell Biology. According to data from OpenAlex, Michel Baudry has authored 401 papers receiving a total of 23.0k indexed citations (citations by other indexed papers that have themselves been cited), including 269 papers in Cellular and Molecular Neuroscience, 218 papers in Molecular Biology and 92 papers in Cell Biology. Recurrent topics in Michel Baudry's work include Neuroscience and Neuropharmacology Research (233 papers), Calpain Protease Function and Regulation (71 papers) and Memory and Neural Mechanisms (43 papers). Michel Baudry is often cited by papers focused on Neuroscience and Neuropharmacology Research (233 papers), Calpain Protease Function and Regulation (71 papers) and Memory and Neural Mechanisms (43 papers). Michel Baudry collaborates with scholars based in United States, France and Canada. Michel Baudry's co-authors include Gary Lynch, Xiaoning Bi, Richard Morris, Eric Anderson, Georges Tocco, Marie‐Pascale Martres, Richard F. Thompson, Annadora J. Bruce, Susan R. Doctrow and Yongqi Rong and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Michel Baudry

399 papers receiving 22.4k citations

Hit Papers

Selective impairment of l... 1986 2026 1999 2012 1986 1989 2008 500 1000 1.5k 2.0k 2.5k

Author Peers

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

Author Last Decade Papers Cites
Michel Baudry 13.1k 9.7k 4.3k 3.1k 3.0k 401 23.0k
Daniel R. Storm 11.4k 0.9× 12.2k 1.3× 3.0k 0.7× 1.9k 0.6× 2.5k 0.8× 260 22.9k
Yu Tian Wang 13.2k 1.0× 10.1k 1.0× 3.8k 0.9× 1.9k 0.6× 2.9k 1.0× 251 21.3k
Jean‐Marc Fritschy 19.8k 1.5× 11.3k 1.2× 6.2k 1.4× 1.4k 0.4× 2.8k 0.9× 291 26.8k
Masayoshi Mishina 13.5k 1.0× 12.9k 1.3× 2.6k 0.6× 2.0k 0.7× 1.6k 0.5× 267 20.8k
Christine M. Gall 12.3k 0.9× 6.2k 0.6× 3.4k 0.8× 1.2k 0.4× 2.1k 0.7× 257 19.2k
Eric Klann 6.8k 0.5× 10.3k 1.1× 3.5k 0.8× 1.9k 0.6× 3.8k 1.2× 187 18.7k
Menahem Segal 13.0k 1.0× 7.5k 0.8× 5.2k 1.2× 879 0.3× 2.1k 0.7× 286 19.9k
Kenji Sakimura 11.7k 0.9× 9.6k 1.0× 3.4k 0.8× 1.8k 0.6× 1.7k 0.6× 387 19.2k
Joël Bockaert 19.6k 1.5× 17.9k 1.8× 2.4k 0.6× 1.6k 0.5× 3.8k 1.2× 410 30.5k
Teresa A. Milner 9.2k 0.7× 6.3k 0.6× 2.4k 0.6× 1.1k 0.4× 3.0k 1.0× 270 19.6k

Countries citing papers authored by Michel Baudry

Since Specialization
Citations

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

Fields of papers citing papers by Michel Baudry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michel Baudry

This figure shows the co-authorship network connecting the top 25 collaborators of Michel Baudry. A scholar is included among the top collaborators of Michel Baudry 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 Baudry. Michel Baudry 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.
Sun, Jiandong, et al.. (2024). LAMTOR1 regulates dendritic lysosomal positioning in hippocampal neurons through TRPML1 inhibition. Frontiers in Cellular Neuroscience. 18. 1495546–1495546. 1 indexed citations
2.
Baudry, Michel, Yubin Wang, Xiaoning Bi, et al.. (2024). Identification and neuroprotective properties of NA‐184, a calpain‐2 inhibitor. Pharmacology Research & Perspectives. 12(2). e1181–e1181. 5 indexed citations
3.
Baudry, Michel, Yun Luo, & Xiaoning Bi. (2023). Calpain-2 Inhibitors as Therapy for Traumatic Brain Injury. Neurotherapeutics. 20(6). 1592–1602. 8 indexed citations
4.
Sun, Jiandong, et al.. (2023). UBE3A deficiency-induced autophagy is associated with activation of AMPK-ULK1 and p53 pathways. Experimental Neurology. 363. 114358–114358. 8 indexed citations
6.
Wang, Yubin, et al.. (2020). Calpain-2 as a therapeutic target in repeated concussion–induced neuropathy and behavioral impairment. Science Advances. 6(27). 19 indexed citations
7.
Baudry, Michel. (2020). Did Proust predict the existence of episodic memory?. Neurobiology of Learning and Memory. 171. 107191–107191. 4 indexed citations
8.
Sun, Jiandong, Yan Liu, Guoqi Zhu, et al.. (2020). PKA and Ube3a regulate SK2 channel trafficking to promote synaptic plasticity in hippocampus: Implications for Angelman Syndrome. Scientific Reports. 10(1). 9824–9824. 10 indexed citations
9.
Davey, Pinakin Gunvant, Yubin Wang, Dennis L. Gierhart, & Michel Baudry. (2020). Neuroprotective effects of zeaxanthin in a mouse model of retinal ischemia/reperfusion injury. Investigative Ophthalmology & Visual Science. 61(7). 655–655. 3 indexed citations
10.
Zhao, Jerry, Michel Baudry, & Susan Jones. (2018). Calpain inhibition reduces NMDA receptor rundown in rat substantia nigra dopamine neurons. Neuropharmacology. 137. 221–229. 2 indexed citations
11.
Chatterjee, Payal, Wesley M. Botello‐Smith, Han Zhang, et al.. (2017). Can Relative Binding Free Energy Predict Selectivity of Reversible Covalent Inhibitors?. Journal of the American Chemical Society. 139(49). 17945–17952. 44 indexed citations
12.
Liu, Yan, Yubin Wang, Guoqi Zhu, et al.. (2016). A calpain-2 selective inhibitor enhances learning & memory by prolonging ERK activation. Neuropharmacology. 105. 471–477. 31 indexed citations
13.
Xu, Xiaobo, et al.. (2016). Differential Activation of Calpain-1 and Calpain-2 following Kainate-Induced Seizure Activity in Rats and Mice. eNeuro. 3(4). ENEURO.0088–15.2016. 17 indexed citations
14.
Wang, Yubin, Dulce Lopez, Pinakin Gunvant Davey, et al.. (2016). Calpain-1 and calpain-2 play opposite roles in retinal ganglion cell degeneration induced by retinal ischemia/reperfusion injury. Neurobiology of Disease. 93. 121–128. 37 indexed citations
15.
Farazifard, Rasoul, Guoqi Zhu, Yi Zhang, et al.. (2013). Conditional Disruption of Calpain in the CNS Alters Dendrite Morphology, Impairs LTP, and Promotes Neuronal Survival following Injury. Journal of Neuroscience. 33(13). 5773–5784. 82 indexed citations
16.
Michán, Shaday, Yan Li, Edoardo Parrella, et al.. (2010). SIRT1 Is Essential for Normal Cognitive Function and Synaptic Plasticity. Journal of Neuroscience. 30(29). 9695–9707. 446 indexed citations
17.
Liaw, Jim‐Shih, Michel Baudry, G.A. Chauvet, & Theodore W. Berger. (1995). The role of synaptic geometry in neural transmission A modeling study. The Society for Neuroscience Abstracts. 21. 1110. 1 indexed citations
18.
Baudry, Michel & Joel L. Davis. (1991). Long-term potentiation : a debate of current issues. MIT Press eBooks. 165 indexed citations
19.
Massicotte, Guy & Michel Baudry. (1990). Modulation of dl-α-amino-3-hydroxy-5-methylisoxazole-4-propionate (AMPA)/quisqualate receptors by phospholipase A2 treatment. Neuroscience Letters. 118(2). 245–248. 58 indexed citations
20.
Massicotte, Guy, Markus Kessler, Gary Lynch, & Michel Baudry. (1990). N-Methyl-D-aspartate and quisqualate/DL-alpha-amino-3-hydroxy-5- methylisoxazole-4-propionic acid receptors: differential regulation by phospholipase C treatment.. Molecular Pharmacology. 37(2). 278–285. 25 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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