Scott J. Sherman

5.3k total citations · 1 hit paper
71 papers, 3.4k citations indexed

About

Scott J. Sherman is a scholar working on Neurology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Scott J. Sherman has authored 71 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Neurology, 28 papers in Cellular and Molecular Neuroscience and 14 papers in Molecular Biology. Recurrent topics in Scott J. Sherman's work include Parkinson's Disease Mechanisms and Treatments (26 papers), Neurological disorders and treatments (19 papers) and Neuroscience and Neuropharmacology Research (12 papers). Scott J. Sherman is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (26 papers), Neurological disorders and treatments (19 papers) and Neuroscience and Neuropharmacology Research (12 papers). Scott J. Sherman collaborates with scholars based in United States, China and Netherlands. Scott J. Sherman's co-authors include Michael J. Frank, Ahmed A. Moustafa, Johan Samanta, Torsten Falk, Michael X Cohen, William A. Catterall, James F. Cavanagh, Thomas V. Wiecki, Christina M. Figueroa and Bennet Davis and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Scott J. Sherman

70 papers receiving 3.3k citations

Hit Papers

1 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Hold Your Horses: Impulsivity, Deep Brain Stimulation, and Medication in Parkinsonism

2007 810 citations Michael J. Frank, Ahmed A. Moustafa et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Scott J. Sherman United States	28	1.4k	1.2k	1.1k	558	341	71	3.4k
Nico J. Diederich Luxembourg	35	2.7k 1.9×	1.3k 1.1×	754 0.7×	479 0.9×	424 1.2×	88	4.0k
Atbin Djamshidian Austria	29	1.9k 1.3×	585 0.5×	774 0.7×	351 0.6×	301 0.9×	99	3.0k
Mandar Jog Canada	30	2.3k 1.6×	993 0.9×	1.1k 1.0×	291 0.5×	506 1.5×	206	4.4k
Rivka Inzelberg Israel	35	2.3k 1.6×	994 0.9×	840 0.8×	514 0.9×	373 1.1×	110	4.4k
Elka Stefanova Serbia	31	1.7k 1.2×	782 0.7×	669 0.6×	344 0.6×	516 1.5×	98	3.1k
Gary Abrams United States	37	596 0.4×	683 0.6×	946 0.9×	534 1.0×	514 1.5×	105	4.5k
Patrick Santens Belgium	36	1.6k 1.1×	1.2k 1.1×	591 0.5×	561 1.0×	907 2.7×	180	4.1k
Valtteri Kaasinen Finland	40	2.2k 1.5×	1.3k 1.1×	1.5k 1.3×	418 0.7×	711 2.1×	141	4.7k
Etsuji Yoshikawa Japan	33	901 0.6×	872 0.7×	1.4k 1.3×	661 1.2×	564 1.7×	61	4.3k
Saloni Sharma United States	20	2.1k 1.4×	689 0.6×	571 0.5×	423 0.8×	328 1.0×	65	3.6k

Countries citing papers authored by Scott J. Sherman

Since Specialization

Citations

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

Fields of papers citing papers by Scott J. Sherman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott J. Sherman

This figure shows the co-authorship network connecting the top 25 collaborators of Scott J. Sherman. A scholar is included among the top collaborators of Scott J. Sherman 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 Scott J. Sherman. Scott J. Sherman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Larson, Paul, Chadwick W. Christine, Nicolás Phielipp, et al.. (2025). Safety, tolerability, and efficacy of intracranial delivery of autologous iPSC-derived dopaminergic precursors in moderate to advanced Parkinson’s Disease. Parkinsonism & Related Disorders. 134. 107630–107630.

Bartlett, Mitchell J., Dong Lu, Michael L. Heien, et al.. (2023). Antagonism of kappa opioid receptors accelerates the development of L-DOPA-induced dyskinesia in a preclinical model of moderate dopamine depletion. Brain Research. 1821. 148613–148613. 4 indexed citations

Bartlett, Mitchell J., et al.. (2021). Evaluation of microglia in a rodent model of Parkinson’s disease primed with L-DOPA after sub-anesthetic ketamine treatment. Neuroscience Letters. 765. 136251–136251. 4 indexed citations

Bartlett, Mitchell J., Lajos Szabó, Kate L. Parent, et al.. (2020). Highly-selective µ-opioid receptor antagonism does not block L-DOPA-induced dyskinesia in a rodent model. BMC Research Notes. 13(1). 149–149. 12 indexed citations

Lundeen, Tamara F., Matthew F. Covington, Elizabeth A. Krupinski, et al.. (2019). Accuracy of Dopamine Transporter Imaging with ¹²³I-Ioflupane in Hispanic and Non-Hispanic Patients. Journal of Nuclear Medicine Technology. 48(2). 154–157. 2 indexed citations

Chen, Nan‐kuei, Ying‐hui Chou, Mark Sundman, et al.. (2018). Alteration of Diffusion-Tensor Magnetic Resonance Imaging Measures in Brain Regions Involved in Early Stages of Parkinson's Disease. Brain Connectivity. 8(6). 343–349. 19 indexed citations

Bhattacharjee, Sandipan, Nina Vadiei, Lisa W. Goldstone, Ziyad Alrabiah, & Scott J. Sherman. (2018). Patterns and Predictors of Depression Treatment among Older Adults with Parkinson’s Disease and Depression in Ambulatory Care Settings in the United States. Parkinson s Disease. 2018. 1–6. 7 indexed citations

Bartlett, Mitchell J., Kate L. Parent, Michael L. Heien, et al.. (2018). The combination of the opioid glycopeptide MMP-2200 and a NMDA receptor antagonist reduced l-DOPA-induced dyskinesia and MMP-2200 by itself reduced dopamine receptor 2-like agonist-induced dyskinesia. Neuropharmacology. 141. 260–271. 19 indexed citations

Bartlett, Mitchell J., et al.. (2018). Ten-Hour Exposure to Low-Dose Ketamine Enhances Corticostriatal Cross-Frequency Coupling and Hippocampal Broad-Band Gamma Oscillations. Frontiers in Neural Circuits. 12. 61–61. 32 indexed citations

10.

Sherman, Scott J., et al.. (2017). Insights into the Mechanisms Involved in Protective Effects of VEGF-B in Dopaminergic Neurons. Parkinson s Disease. 2017. 1–13. 32 indexed citations

11.

Lei, Hong, Nima Toosizadeh, Michael Schwenk, et al.. (2016). A Pilot Clinical Trial to Objectively Assess the Efficacy of Electroacupuncture on Gait in Patients with Parkinson's Disease Using Body Worn Sensors. PLoS ONE. 11(5). e0155613–e0155613. 50 indexed citations

12.

Kuo, Phillip H., Hong Lei, R. J. Avery, et al.. (2014). Evaluation of an Objective Striatal Analysis Program for Determining Laterality in Uptake of 123I-Ioflupane SPECT Images: Comparison to Clinical Symptoms and to Visual Reads. Journal of Nuclear Medicine Technology. 42(2). 105–108. 11 indexed citations

13.

Yue, Xin, Beatriz Caballero, S. Zhang, et al.. (2013). Comparative study of the neurotrophic effects elicited by VEGF-B and GDNF in preclinical in vivo models of Parkinson’s disease. Neuroscience. 258. 385–400. 46 indexed citations

14.

Falk, Torsten, et al.. (2010). The Yin and Yang of VEGF and PEDF: Multifaceted Neurotrophic Factors and Their Potential in the Treatment of Parkinson’s Disease. International Journal of Molecular Sciences. 11(8). 2875–2900. 48 indexed citations

15.

Falk, Torsten, Shiling Zhang, & Scott J. Sherman. (2009). Pigment epithelium derived factor (PEDF) is neuroprotective in two in vitro models of Parkinson's disease. Neuroscience Letters. 458(2). 49–52. 34 indexed citations

16.

Falk, Torsten, Shiling Zhang, & Scott J. Sherman. (2009). Vascular endothelial growth factor B (VEGF-B) is up-regulated and exogenous VEGF-B is neuroprotective in a culture model of Parkinson's disease. Molecular Neurodegeneration. 4(1). 49–49. 55 indexed citations

17.

Moustafa, Ahmed A., Michael X Cohen, Scott J. Sherman, & Michael J. Frank. (2008). A Role for Dopamine in Temporal Decision Making and Reward Maximization in Parkinsonism. Journal of Neuroscience. 28(47). 12294–12304. 99 indexed citations

18.

Falk, Torsten, et al.. (2003). Developmental regulation of the a-type potassium-channel current in hippocampal neurons: role of the kvβ1.1 subunit. Neuroscience. 120(2). 387–404. 16 indexed citations

19.

Zirinsky, Kenneth, et al.. (1987). Computed tomography appearance of adrenal vein thrombosis. Journal of Computed Tomography. 11(2). 216–218. 3 indexed citations

20.

Sherman, Scott J., John C. Lawrence, & W A Catterall. (1982). The effect of denervation on the development of the high affinity saxitoxin receptor in the skeletal muscle. Federation Proceedings. 41(5). 1 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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