Gregory F. Molnar

1.1k total citations
24 papers, 739 citations indexed

About

Gregory F. Molnar is a scholar working on Neurology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Gregory F. Molnar has authored 24 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Neurology, 14 papers in Cellular and Molecular Neuroscience and 10 papers in Cognitive Neuroscience. Recurrent topics in Gregory F. Molnar's work include Neurological disorders and treatments (16 papers), Neuroscience and Neural Engineering (12 papers) and Parkinson's Disease Mechanisms and Treatments (8 papers). Gregory F. Molnar is often cited by papers focused on Neurological disorders and treatments (16 papers), Neuroscience and Neural Engineering (12 papers) and Parkinson's Disease Mechanisms and Treatments (8 papers). Gregory F. Molnar collaborates with scholars based in United States, Canada and Switzerland. Gregory F. Molnar's co-authors include Robert Chen, Alexandra Sailer, Andrés M. Lozano, Danny I. Cunic, Jonathan O. Dostrovsky, Carolyn Gunraj, Timothy Denison, Jerrold L. Vitek, Luke A. Johnson and Randy Jensen and has published in prestigious journals such as NeuroImage, Neurology and The Journal of Physiology.

In The Last Decade

Gregory F. Molnar

23 papers receiving 730 citations

Peers

Gregory F. Molnar
Bryan Lad Howell United States
Maged Elwassif United States
Sherwin E. Hua United States
Merrill J. Birdno United States
Michael Moffitt United States
Bryan Lad Howell United States
Gregory F. Molnar
Citations per year, relative to Gregory F. Molnar Gregory F. Molnar (= 1×) peers Bryan Lad Howell

Countries citing papers authored by Gregory F. Molnar

Since Specialization
Citations

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

Fields of papers citing papers by Gregory F. Molnar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory F. Molnar. 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 Gregory F. Molnar. The network helps show where Gregory F. Molnar may publish in the future.

Co-authorship network of co-authors of Gregory F. Molnar

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory F. Molnar. A scholar is included among the top collaborators of Gregory F. Molnar 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 Gregory F. Molnar. Gregory F. Molnar 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.
Aman, Joshua E., Luke A. Johnson, Jing Wang, et al.. (2023). Low-frequency deep brain stimulation reveals resonant beta-band evoked oscillations in the pallidum of Parkinson’s Disease patients. Frontiers in Human Neuroscience. 17. 1178527–1178527. 2 indexed citations
2.
Sanabria, David Escobar, Joshua E. Aman, Luke A. Johnson, et al.. (2022). Controlling pallidal oscillations in real-time in Parkinson's disease using evoked interference deep brain stimulation (eiDBS): Proof of concept in the human. Brain stimulation. 15(5). 1111–1119. 13 indexed citations
3.
Verma, Ajay, Ying Yu, David Escobar Sanabria, et al.. (2022). Parkinsonian daytime sleep-wake classification using deep brain stimulation lead recordings. Neurobiology of Disease. 176. 105963–105963. 7 indexed citations
4.
Wang, Jing, Luke A. Johnson, Shane D. Nebeck, et al.. (2022). Shuffling Improves the Acute and Carryover Effect of Subthalamic Coordinated Reset Deep Brain Stimulation. Frontiers in Neurology. 13. 716046–716046. 15 indexed citations
5.
Zhang, Jianyu, Gregory F. Molnar, Luke A. Johnson, et al.. (2022). Quantifying Viscous Damping and Stiffness in Parkinsonism Using Data-Driven Model Estimation and Admittance Control. Journal of Medical Devices. 16(4). 41004–41004.
6.
Sanabria, David Escobar, Luke A. Johnson, Ying Yu, et al.. (2020). Real-time suppression and amplification of frequency-specific neural activity using stimulation evoked oscillations. Brain stimulation. 13(6). 1732–1742. 25 indexed citations
7.
Eryaman, Yiğitcan, Joshua E. Aman, Andrea Grant, et al.. (2018). A simple geometric analysis method for measuring and mitigating RF induced currents on Deep Brain Stimulation leads by multichannel transmission/reception. NeuroImage. 184. 658–668. 23 indexed citations
8.
Hendrix, Claudia, Luke A. Johnson, Kenneth B. Baker, et al.. (2018). Predictive encoding of motor behavior in the supplementary motor area is disrupted in parkinsonism. Journal of Neurophysiology. 120(3). 1247–1255. 12 indexed citations
9.
Molnar, Gregory F., Fred W. Montague, Shawn C. Kelley, et al.. (2017). Public Regulatory Databases as a Source of Insight for Neuromodulation Devices Stimulation Parameters. Neuromodulation Technology at the Neural Interface. 21(2). 117–125. 14 indexed citations
10.
Sanabria, David Escobar, Luke A. Johnson, Shane D. Nebeck, et al.. (2017). Parkinsonism and vigilance: alteration in neural oscillatory activity and phase-amplitude coupling in the basal ganglia and motor cortex. Journal of Neurophysiology. 118(5). 2654–2669. 40 indexed citations
11.
Wang, Jing, Luke A. Johnson, Alicia L. Jensen, et al.. (2017). Network-wide oscillations in the parkinsonian state: alterations in neuronal activities occur in the premotor cortex in parkinsonian nonhuman primates. Journal of Neurophysiology. 117(6). 2242–2249. 23 indexed citations
12.
Deogaonkar, Milind, Mayur Sharma, Chima Oluigbo, et al.. (2015). Spinal Cord Stimulation (SCS) and Functional Magnetic Resonance Imaging (fMRI): Modulation of Cortical Connectivity With Therapeutic SCS. Neuromodulation Technology at the Neural Interface. 19(2). 142–153. 57 indexed citations
13.
Rouse, Adam G., Scott Stanslaski, Peng Cong, et al.. (2011). A chronic generalized bi-directional brain–machine interface. Journal of Neural Engineering. 8(3). 36018–36018. 117 indexed citations
14.
Denison, Timothy, et al.. (2008). An 8μW Heterodyning Chopper Amplifier for Direct Extraction of 2μVrms Neuronal Biomarkers. 162–603. 6 indexed citations
15.
Molnar, Gregory F., Alexandra Sailer, Carolyn Gunraj, et al.. (2006). Changes in motor cortex excitability with stimulation of anterior thalamus in epilepsy. Neurology. 66(4). 566–571. 58 indexed citations
16.
Molnar, Gregory F., et al.. (2005). Differences in Neuronal Firing Rates in Pallidal and Cerebellar Receiving Areas of Thalamus in Patients With Parkinson's Disease, Essential Tremor, and Pain. Journal of Neurophysiology. 93(6). 3094–3101. 87 indexed citations
17.
Daskalakis, Zafiris J., Gregory F. Molnar, Bruce K. Christensen, et al.. (2003). An automated method to determine the transcranial magnetic stimulation-induced contralateral silent period. Clinical Neurophysiology. 114(5). 938–944. 69 indexed citations
18.
Sailer, Alexandra, Gregory F. Molnar, Danny I. Cunic, & Robert Chen. (2002). Effects of peripheral sensory input on cortical inhibition in humans. The Journal of Physiology. 544(2). 617–629. 73 indexed citations
19.
Sailer, Alexandra, Gregory F. Molnar, Danny I. Cunic, & Robert Chen. (2002). Effects of peripheral sensory input on cortical inhibition in humans. The Journal of Physiology. 544(2). 617–629. 2 indexed citations
20.
Fehér, O., et al.. (1965). The effect of neuromuscular blocking agents on the electrical activity of cat's cerebral cortex.. PubMed. 158(2). 277–85. 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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