Richard J. Smeyne

15.2k total citations · 4 hit papers
119 papers, 12.1k citations indexed

About

Richard J. Smeyne is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, Richard J. Smeyne has authored 119 papers receiving a total of 12.1k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Cellular and Molecular Neuroscience, 43 papers in Molecular Biology and 38 papers in Neurology. Recurrent topics in Richard J. Smeyne's work include Parkinson's Disease Mechanisms and Treatments (32 papers), Neuroscience and Neuropharmacology Research (24 papers) and Nerve injury and regeneration (22 papers). Richard J. Smeyne is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (32 papers), Neuroscience and Neuropharmacology Research (24 papers) and Nerve injury and regeneration (22 papers). Richard J. Smeyne collaborates with scholars based in United States, United Kingdom and Switzerland. Richard J. Smeyne's co-authors include Tom Curran, James P. Morgan, Mariano Barbacid, Rüdiger Klein, Michelle Smeyne, Linda K. Long, Sérgio A. Lira, Amar K. Pani, Yun Jiao and Ciaran Faherty and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Richard J. Smeyne

117 papers receiving 11.9k citations

Hit Papers

Severe sensory and sympathetic neuropathies in mice carry... 1993 2026 2004 2015 1994 1993 1993 1994 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
Richard J. Smeyne United States 56 5.4k 4.4k 2.5k 1.7k 1.7k 119 12.1k
David Pleasure United States 63 4.5k 0.8× 3.8k 0.9× 1.5k 0.6× 2.6k 1.5× 2.0k 1.2× 272 11.4k
Mathias Bähr Germany 76 9.2k 1.7× 5.9k 1.3× 2.5k 1.0× 2.6k 1.5× 2.8k 1.7× 356 17.3k
Keiji Wada Japan 68 9.9k 1.8× 8.0k 1.8× 1.8k 0.7× 1.1k 0.6× 2.0k 1.2× 379 18.7k
Giacomo P. Comi Italy 62 9.0k 1.7× 2.4k 0.5× 2.8k 1.1× 800 0.5× 1.2k 0.7× 570 15.6k
Michaël Schumacher France 78 4.1k 0.8× 4.7k 1.1× 1.3k 0.5× 2.3k 1.3× 1.8k 1.1× 301 16.9k
Michael P. Coleman United Kingdom 50 4.0k 0.7× 3.6k 0.8× 1.7k 0.7× 1.3k 0.7× 1.6k 1.0× 116 9.4k
Stephen D. Skaper Italy 67 5.5k 1.0× 6.2k 1.4× 1.4k 0.6× 2.3k 1.3× 2.2k 1.3× 277 15.4k
Toshihide Yamashita Japan 55 4.5k 0.8× 4.8k 1.1× 906 0.4× 2.6k 1.5× 2.3k 1.3× 329 11.9k
Nereo Bresolin Italy 71 10.6k 2.0× 2.8k 0.6× 2.7k 1.1× 836 0.5× 1.9k 1.1× 487 18.1k
Éva Mezey United States 66 6.4k 1.2× 5.8k 1.3× 939 0.4× 1.3k 0.8× 822 0.5× 205 18.7k

Countries citing papers authored by Richard J. Smeyne

Since Specialization
Citations

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

Fields of papers citing papers by Richard J. Smeyne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard J. Smeyne. 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 Richard J. Smeyne. The network helps show where Richard J. Smeyne may publish in the future.

Co-authorship network of co-authors of Richard J. Smeyne

This figure shows the co-authorship network connecting the top 25 collaborators of Richard J. Smeyne. A scholar is included among the top collaborators of Richard J. Smeyne 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 Richard J. Smeyne. Richard J. Smeyne 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.
Byrne, Matthew, et al.. (2024). GUCY2C signaling limits dopaminergic neuron vulnerability to toxic insults. npj Parkinson s Disease. 10(1). 4 indexed citations
3.
Oakley, Laura, et al.. (2021). Effect of Chronic Methylphenidate Treatment in a Female Experimental Model of Parkinsonism. Neurotoxicity Research. 39(3). 667–676. 1 indexed citations
4.
Bantle, Collin M., Savannah M. Rocha, Aaron T. Phillips, et al.. (2021). Astrocyte inflammatory signaling mediates α-synuclein aggregation and dopaminergic neuronal loss following viral encephalitis. Experimental Neurology. 346. 113845–113845. 20 indexed citations
5.
Merlino, Dante J., Matthew Byrne, Jeffrey A. Rappaport, et al.. (2019). Two distinct GUCY2C circuits with PMV (hypothalamic) and SN/VTA (midbrain) origin. Brain Structure and Function. 224(8). 2983–2999. 24 indexed citations
6.
Fischer, Roman, Valerie Bracchi‐Ricard, Ricarda Diem, et al.. (2019). Exogenous activation of tumor necrosis factor receptor 2 promotes recovery from sensory and motor disease in a model of multiple sclerosis. Brain Behavior and Immunity. 81. 247–259. 29 indexed citations
7.
Oakley, Laura, Matthew Byrne, Zuzana Nichtová, et al.. (2018). Murine MPDZ ‐linked hydrocephalus is caused by hyperpermeability of the choroid plexus. EMBO Molecular Medicine. 11(1). 28 indexed citations
8.
Blundon, Jay A., Brett J.W. Teubner, Amar K. Pani, et al.. (2017). Restoring auditory cortex plasticity in adult mice by restricting thalamic adenosine signaling. Science. 356(6345). 1352–1356. 32 indexed citations
10.
Chun, Sungkun, Joby J. Westmoreland, Ildar T. Bayazitov, et al.. (2014). Specific disruption of thalamic inputs to the auditory cortex in schizophrenia models. Science. 344(6188). 1178–1182. 96 indexed citations
11.
Tian, Jinbin, Chhavy Tep, Alex Benedick, et al.. (2014). p75 Regulates Purkinje Cell Firing by Modulating SK Channel Activity through Rac1. Journal of Biological Chemistry. 289(45). 31458–31472. 14 indexed citations
12.
Pani, Amar K., et al.. (2014). Neurochemical Measurement of Adenosine in Discrete Brain Regions of Five Strains of Inbred Mice. PLoS ONE. 9(3). e92422–e92422. 17 indexed citations
13.
Pani, Amar K., et al.. (2012). Normal Midbrain Dopaminergic Neuron Development and Function in miR-133b Mutant Mice. Journal of Neuroscience. 32(32). 10887–10894. 56 indexed citations
15.
Burton, Amanda R., Zachary C. Baquet, George S. Eisenbarth, et al.. (2010). Central Nervous System Destruction Mediated by Glutamic Acid Decarboxylase-Specific CD4+ T Cells. The Journal of Immunology. 184(9). 4863–4870. 54 indexed citations
16.
Chen, Pei‐Chun, Marcelo R. Vargas, Amar K. Pani, et al.. (2009). Nrf2-mediated neuroprotection in the MPTP mouse model of Parkinson's disease: Critical role for the astrocyte. Proceedings of the National Academy of Sciences. 106(8). 2933–2938. 492 indexed citations
17.
Baquet, Zachary C., Diane L. Williams, Jacob A. Brody, & Richard J. Smeyne. (2009). A comparison of model-based (2D) and design-based (3D) stereological methods for estimating cell number in the substantia nigra pars compacta (SNpc) of the C57BL/6J mouse. Neuroscience. 161(4). 1082–1090. 126 indexed citations
18.
Holst, Jeff, Haopeng Wang, Creg J. Workman, et al.. (2008). Scalable signaling mediated by T cell antigen receptor–CD3 ITAMs ensures effective negative selection and prevents autoimmunity. Nature Immunology. 9(6). 658–666. 131 indexed citations
19.
Jensen, Patricia, Richard J. Smeyne, & Dan Goldowitz. (2004). Analysis of Cerebellar Development inmath1Null Embryos and Chimeras. Journal of Neuroscience. 24(9). 2202–2211. 48 indexed citations
20.
Klein, Rüdiger, Inmaculada Silos‐Santiago, Richard J. Smeyne, et al.. (1994). Disruption of the neurotrophin-3 receptor gene trkC eliminates la muscle afferents and results in abnormal movements. Nature. 368(6468). 249–251. 525 indexed citations breakdown →

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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