Mark S. Moehle

2.5k total citations · 1 hit paper
27 papers, 1.7k citations indexed

About

Mark S. Moehle is a scholar working on Cellular and Molecular Neuroscience, Neurology and Molecular Biology. According to data from OpenAlex, Mark S. Moehle has authored 27 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cellular and Molecular Neuroscience, 16 papers in Neurology and 10 papers in Molecular Biology. Recurrent topics in Mark S. Moehle's work include Parkinson's Disease Mechanisms and Treatments (13 papers), Neuroscience and Neuropharmacology Research (11 papers) and Receptor Mechanisms and Signaling (7 papers). Mark S. Moehle is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (13 papers), Neuroscience and Neuropharmacology Research (11 papers) and Receptor Mechanisms and Signaling (7 papers). Mark S. Moehle collaborates with scholars based in United States, Czechia and Bulgaria. Mark S. Moehle's co-authors include Andrew B. West, João Paulo Lima Daher, Laura A. Volpicelli‐Daley, Rita M. Cowell, David G. Standaert, Tonia E. Tse, Tara M. DeSilva, Philip J. Webber, Jonathan P. Blackburn and P. Jeffrey Conn and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Neuron.

In The Last Decade

Mark S. Moehle

26 papers receiving 1.7k citations

Hit Papers

Cholinergic system changes in Parkinson's disease: emergi... 2022 2026 2023 2024 2022 40 80 120

Peers

Mark S. Moehle
Dora Yearout United States
Elvira Valera United States
Valerie Joers United States
Ayşe Ulusoy Germany
Roberto Di Maio United States
Anthony DelleDonne United States
Dora Yearout United States
Mark S. Moehle
Citations per year, relative to Mark S. Moehle Mark S. Moehle (= 1×) peers Dora Yearout

Countries citing papers authored by Mark S. Moehle

Since Specialization
Citations

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

Fields of papers citing papers by Mark S. Moehle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark S. Moehle. 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 Mark S. Moehle. The network helps show where Mark S. Moehle may publish in the future.

Co-authorship network of co-authors of Mark S. Moehle

This figure shows the co-authorship network connecting the top 25 collaborators of Mark S. Moehle. A scholar is included among the top collaborators of Mark S. Moehle 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 Mark S. Moehle. Mark S. Moehle 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.
Wagner, P., et al.. (2025). Pathological α-synuclein perturbs nuclear integrity. Neurobiology of Disease. 214. 107028–107028. 1 indexed citations
2.
Chambers, Nicole, et al.. (2025). Early α-synuclein aggregation decreases corticostriatal glutamate drive and synapse density. Neurobiology of Disease. 210. 106918–106918. 2 indexed citations
3.
Wagner, P., et al.. (2024). Neuron specific quantitation of Gαolf expression and signaling in murine brain tissue. Brain Research. 1842. 149105–149105. 1 indexed citations
4.
LeWitt, Peter A., et al.. (2024). Anticholinergic drugs for parkinsonism and other movement disorders. Journal of Neural Transmission. 131(12). 1481–1494. 2 indexed citations
5.
Follett, Jordan, Igor Tatarnikov, Shannon Wall, et al.. (2023). Inhibition of LRRK2 kinase activity rescues deficits in striatal dopamine physiology in VPS35 p.D620N knock-in mice. npj Parkinson s Disease. 9(1). 167–167. 9 indexed citations
6.
Chambers, Nicole, et al.. (2023). The muscarinic M4 acetylcholine receptor exacerbates symptoms of movement disorders. Biochemical Society Transactions. 51(2). 691–702. 10 indexed citations
7.
Qi, Aidong, Alice L. Rodriguez, Peng Li, et al.. (2023). Development of a Selective and High Affinity Radioligand, [3H]VU6013720, for the M4 Muscarinic Receptor. Molecular Pharmacology. 104(5). 195–202. 2 indexed citations
8.
Bohnen, Nicolaas I., Alison J. Yarnall, Rimona S. Weil, et al.. (2022). Cholinergic system changes in Parkinson's disease: emerging therapeutic approaches. The Lancet Neurology. 21(4). 381–392. 145 indexed citations breakdown →
9.
Yohn, Samantha E., Daniel J. Foster, Dan P. Covey, et al.. (2018). Activation of the mGlu1 metabotropic glutamate receptor has antipsychotic-like effects and is required for efficacy of M4 muscarinic receptor allosteric modulators. Molecular Psychiatry. 25(11). 2786–2799. 39 indexed citations
10.
Walker, Adam G., Douglas J. Sheffler, Andrew Lewis, et al.. (2017). Co-Activation of Metabotropic Glutamate Receptor 3 and Beta-Adrenergic Receptors Modulates Cyclic-AMP and Long-Term Potentiation, and Disrupts Memory Reconsolidation. Neuropsychopharmacology. 42(13). 2553–2566. 16 indexed citations
11.
Abdelmotilib, Hisham, Vedad Delic, Zhiyong Liu, et al.. (2017). α-Synuclein fibril-induced inclusion spread in rats and mice correlates with dopaminergic Neurodegeneration. Neurobiology of Disease. 105. 84–98. 120 indexed citations
12.
Moehle, Mark S., Tristano Pancani, Nellie Byun, et al.. (2017). Cholinergic Projections to the Substantia Nigra Pars Reticulata Inhibit Dopamine Modulation of Basal Ganglia through the M4 Muscarinic Receptor. Neuron. 96(6). 1358–1372.e4. 44 indexed citations
13.
Moehle, Mark S., João Paulo Lima Daher, Travis D. Hull, et al.. (2015). The G2019S LRRK2 mutation increases myeloid cell chemotactic responses and enhances LRRK2 binding to actin-regulatory proteins. Human Molecular Genetics. 24(15). 4250–4267. 50 indexed citations
14.
Daher, João Paulo Lima, Hisham Abdelmotilib, Xianzhen Hu, et al.. (2015). Leucine-rich Repeat Kinase 2 (LRRK2) Pharmacological Inhibition Abates α-Synuclein Gene-induced Neurodegeneration. Journal of Biological Chemistry. 290(32). 19433–19444. 161 indexed citations
15.
Boddu, Ravindra, Travis D. Hull, Subhashini Bolisetty, et al.. (2015). Leucine-rich repeat kinase 2 deficiency is protective in rhabdomyolysis-induced kidney injury. Human Molecular Genetics. 24(14). 4078–4093. 36 indexed citations
16.
Moehle, Mark S. & Andrew B. West. (2014). M1 and M2 immune activation in Parkinson’s Disease: Foe and ally?. Neuroscience. 302. 59–73. 166 indexed citations
17.
West, Andrew B., Rita M. Cowell, João Paulo Lima Daher, et al.. (2014). Differential LRRK2 expression in the cortex, striatum, and substantia nigra in transgenic and nontransgenic rodents. The Journal of Comparative Neurology. 522(11). 2 indexed citations
18.
Fraser, K. B., Mark S. Moehle, João Paulo Lima Daher, et al.. (2013). LRRK2 secretion in exosomes is regulated by 14-3-3. Human Molecular Genetics. 22(24). 4988–5000. 135 indexed citations
19.
Moehle, Mark S., Philip J. Webber, Tonia E. Tse, et al.. (2012). LRRK2 Inhibition Attenuates Microglial Inflammatory Responses. Journal of Neuroscience. 32(5). 1602–1611. 342 indexed citations
20.
Moehle, Mark S., Richard F. Ludueña, Vahram Haroutunian, James H. Meador‐Woodruff, & Robert E. McCullumsmith. (2012). Regional differences in expression of β-tubulin isoforms in schizophrenia. Schizophrenia Research. 135(1-3). 181–186. 22 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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