Jennifer Durphy

459 total citations
18 papers, 217 citations indexed

About

Jennifer Durphy is a scholar working on Neurology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Jennifer Durphy has authored 18 papers receiving a total of 217 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Neurology, 6 papers in Cellular and Molecular Neuroscience and 2 papers in Neurology. Recurrent topics in Jennifer Durphy's work include Neurological disorders and treatments (17 papers), Parkinson's Disease Mechanisms and Treatments (15 papers) and Botulinum Toxin and Related Neurological Disorders (10 papers). Jennifer Durphy is often cited by papers focused on Neurological disorders and treatments (17 papers), Parkinson's Disease Mechanisms and Treatments (15 papers) and Botulinum Toxin and Related Neurological Disorders (10 papers). Jennifer Durphy collaborates with scholars based in United States, India and China. Jennifer Durphy's co-authors include Julie G. Pilitsis, Era Hanspal, Adolfo Ramirez–Zamora, Julia Prusik, Marisa DiMarzio, Eric Molho, Lucy Gee, Damian S. Shin, Octavian Adam and Michael D. Staudt and has published in prestigious journals such as Neurology, Journal of neurosurgery and Neurosurgery.

In The Last Decade

Jennifer Durphy

15 papers receiving 217 citations

Peers

Jennifer Durphy

NEURO

CMN

NEURO

RNMI

Carina França Brazil

Kyle T. Mitchell United States

Mario Fichera Italy

Michael Almaguer United States

Margaret F. Turk United States

Guillermo Moguel‐Cobos United States

Michael Schuepbach Switzerland

Michelle E. Beyn Canada

Joachim Runge Germany

Giorgio Tommasi Italy

Carina França Brazil

Jennifer Durphy

155 ×0.8

NEURO

101 ×1.3

CMN

105 ×2.2

NEURO

21 ×0.8

15 ×0.8

RNMI

Citations per year, relative to Jennifer Durphy Jennifer Durphy (= 1×) peers Carina França

Countries citing papers authored by Jennifer Durphy

Since Specialization

Citations

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

Fields of papers citing papers by Jennifer Durphy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Durphy

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

All Works

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18 of 18 papers shown

Harland, Tessa, et al.. (2024). Longevity of Deep Brain Stimulation in Essential Tremor: A Comparison of Omnidirectional and Directional Leads. Neurosurgery. 97(1). 259–263.

Aldred, Jason, Theresa Zesiewicz, Michael S. Okun, et al.. (2023). ID: 197800 Image-Guided Programming Reduces Initial DBS Programming Time in Parkinson's Disease Patients. Neuromodulation Technology at the Neural Interface. 26(4). S17–S17.

Aldred, Jason, Theresa Zesiewicz, Michael S. Okun, et al.. (2023). Image-Guided Programming Tool for DBS Programming Used with a Multiple-Source, Constant-Current System Reduces Initial Programming Time (P4-11.012). Neurology. 100(17_supplement_2).

DiMarzio, Marisa, Radhika Madhavan, Suresh Joel, et al.. (2020). Use of Functional Magnetic Resonance Imaging to Assess How Motor Phenotypes of Parkinson’s Disease Respond to Deep Brain Stimulation. Neuromodulation Technology at the Neural Interface. 23(4). 515–524. 15 indexed citations

Telkes, Ilknur, Jennifer Durphy, Octavian Adam, et al.. (2020). Functional Use of Directional Local Field Potentials in the Subthalamic Nucleus Deep Brain Stimulation. Frontiers in Human Neuroscience. 14. 145–145. 22 indexed citations

Durphy, Jennifer, et al.. (2020). Ziconotide-Induced Oro-lingual Dyskinesia: 3 Cases. Tremor and Other Hyperkinetic Movements. 10(1). 37–37. 2 indexed citations

DiMarzio, Marisa, Michael D. Staudt, Jennifer Durphy, et al.. (2020). Effect of Directional Deep Brain Stimulation on Sensory Thresholds in Parkinson’s Disease. Frontiers in Human Neuroscience. 14. 217–217. 6 indexed citations

DiMarzio, Marisa, Radhika Madhavan, Ileana Hancu, et al.. (2020). Use of Functional MRI to Assess Effects of Deep Brain Stimulation Frequency Changes on Brain Activation in Parkinson Disease. Neurosurgery. 88(2). 356–365. 16 indexed citations

DiMarzio, Marisa, Michael D. Staudt, Vishad Sukul, et al.. (2020). Sex-specific effects of subthalamic nucleus stimulation on pain in Parkinson’s disease. Journal of neurosurgery. 135(2). 629–636. 9 indexed citations

10.

DiMarzio, Marisa, Tanweer Rashid, Ileana Hancu, et al.. (2019). Functional MRI Signature of Chronic Pain Relief From Deep Brain Stimulation in Parkinson Disease Patients. Neurosurgery. 85(6). E1043–E1049. 21 indexed citations

11.

DiMarzio, Marisa, Julia Prusik, Octavian Adam, et al.. (2019). Early Experience With New Generation Deep Brain Stimulation Leads in Parkinson’s Disease and Essential Tremor Patients. Neuromodulation Technology at the Neural Interface. 23(4). 537–542. 19 indexed citations

12.

DiMarzio, Marisa, Julie G. Pilitsis, Lucy Gee, et al.. (2018). King’s Parkinson’s Disease Pain Scale for Assessment of Pain Relief Following Deep Brain Stimulation for Parkinson’s Disease. Neuromodulation Technology at the Neural Interface. 21(6). 617–622. 19 indexed citations

13.

Aronson, Joshua P., Julie G. Pilitsis, Lucy Gee, et al.. (2018). Anatomical Correlates of Uncontrollable Laughter With Unilateral Subthalamic Deep Brain Stimulation in Parkinson’s Disease. Frontiers in Neurology. 9. 341–341. 5 indexed citations

14.

Peng, Sophia, Adolfo Ramirez–Zamora, Paul J. Feustel, et al.. (2017). A Comparison of Unilateral Deep Brain Stimulation (DBS), Simultaneous Bilateral DBS, and Staged Bilateral DBS Lead Accuracies. Neuromodulation Technology at the Neural Interface. 20(5). 478–483. 10 indexed citations

15.

Ramirez–Zamora, Adolfo, et al.. (2016). Hyperhidrosis associated with subthalamic deep brain stimulation in Parkinson's disease: Insights into central autonomic functional anatomy. Journal of the Neurological Sciences. 366. 59–64. 9 indexed citations

16.

Gee, Lucy, Philip Chun Yeung, Julia Prusik, et al.. (2016). Effect of low-frequency deep brain stimulation on sensory thresholds in Parkinson's disease. Journal of neurosurgery. 126(2). 397–403. 27 indexed citations

17.

Gee, Lucy, Heather Smith, Adolfo Ramirez–Zamora, et al.. (2015). The Influence of Bilateral Subthalamic Nucleus Deep Brain Stimulation on Impulsivity and Prepulse Inhibition in Parkinson's Disease Patients. Stereotactic and Functional Neurosurgery. 93(4). 265–270. 26 indexed citations

18.

Smith, Heather, Lucy Gee, Vignessh Kumar, et al.. (2015). Deep Brain Stimulation Significantly Decreases Disability from Low Back Pain in Patients with Advanced Parkinson's Disease. Stereotactic and Functional Neurosurgery. 93(3). 206–211. 11 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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