Michael Pourfar

2.4k total citations
31 papers, 1.1k citations indexed

About

Michael Pourfar is a scholar working on Neurology, Cellular and Molecular Neuroscience and Clinical Psychology. According to data from OpenAlex, Michael Pourfar has authored 31 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Neurology, 15 papers in Cellular and Molecular Neuroscience and 7 papers in Clinical Psychology. Recurrent topics in Michael Pourfar's work include Neurological disorders and treatments (26 papers), Parkinson's Disease Mechanisms and Treatments (19 papers) and Genetic Neurodegenerative Diseases (11 papers). Michael Pourfar is often cited by papers focused on Neurological disorders and treatments (26 papers), Parkinson's Disease Mechanisms and Treatments (19 papers) and Genetic Neurodegenerative Diseases (11 papers). Michael Pourfar collaborates with scholars based in United States, Italy and France. Michael Pourfar's co-authors include Vijay Dhawan, David Eidelberg, Andrew Feigin, Chengke Tang, Michael S. Okun, Ron L. Alterman, Kelly D. Foote, Michele Tagliati, Hubert H. Fernandez and Ramon L. Rodriguez and has published in prestigious journals such as SHILAP Revista de lepidopterología, Brain and Neurology.

In The Last Decade

Michael Pourfar

27 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Pourfar United States 12 888 423 225 163 148 31 1.1k
Hélène Klinger France 19 1.4k 1.5× 481 1.1× 313 1.4× 113 0.7× 275 1.9× 34 1.6k
Athanasios Koulousakis Germany 7 819 0.9× 467 1.1× 190 0.8× 228 1.4× 246 1.7× 11 1.1k
Elina Nurmi Finland 10 846 1.0× 357 0.8× 256 1.1× 52 0.3× 99 0.7× 12 1.1k
Pierre Pélissier France 15 820 0.9× 259 0.6× 200 0.9× 62 0.4× 147 1.0× 31 923
Yu‐Yan Poon Canada 22 1.5k 1.7× 719 1.7× 156 0.7× 71 0.4× 309 2.1× 38 1.6k
Christian J. Hartmann Germany 20 954 1.1× 602 1.4× 433 1.9× 51 0.3× 150 1.0× 42 1.2k
Shikun Zhan China 19 727 0.8× 328 0.8× 280 1.2× 240 1.5× 165 1.1× 60 1.0k
Boulos‐Paul Bejjani France 10 1.3k 1.5× 755 1.8× 154 0.7× 75 0.5× 278 1.9× 13 1.4k
K. Wernette Italy 8 514 0.6× 320 0.8× 249 1.1× 140 0.9× 42 0.3× 8 781
Juan Carlos Baldermann Germany 16 765 0.9× 254 0.6× 414 1.8× 504 3.1× 223 1.5× 49 1.1k

Countries citing papers authored by Michael Pourfar

Since Specialization
Citations

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

Fields of papers citing papers by Michael Pourfar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Pourfar

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Pourfar. A scholar is included among the top collaborators of Michael Pourfar 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 Michael Pourfar. Michael Pourfar 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.
Thomas, B., et al.. (2025). High Intensity Focused Ultrasound – Longitudinal Data on Efficacy and Safety. Tremor and Other Hyperkinetic Movements. 15. 18–18. 2 indexed citations
2.
3.
Johnson, Kara A., Daria Nesterovich Anderson, Jill L. Ostrem, et al.. (2020). Structural connectivity predicts clinical outcomes of deep brain stimulation for Tourette syndrome. Brain. 143(8). 2607–2623. 45 indexed citations
4.
Pourfar, Michael, et al.. (2020). Subthalamic Gamma Knife Radiosurgery in Parkinson’s Disease: A Cautionary Tale. Stereotactic and Functional Neurosurgery. 98(2). 110–117. 8 indexed citations
5.
Pourfar, Michael, et al.. (2019). Deep Brain Stimulation of the Subthalamic Nucleus Induces Impulsive Responses to Bursts of Sensory Evidence. Frontiers in Neuroscience. 13. 270–270. 3 indexed citations
6.
Pourfar, Michael, et al.. (2017). Rescue leads for suboptimal results following deep brain stimulation for Parkinson's disease. Brain stimulation. 10(2). 462–462. 2 indexed citations
7.
Pourfar, Michael & Alon Y. Mogilner. (2016). Lead Angle Matters: Side Effects of Deep Brain Stimulation Improved With Adjustment of Lead Angle. Neuromodulation Technology at the Neural Interface. 19(8). 877–881. 6 indexed citations
8.
Pourfar, Michael, et al.. (2016). QAPD: An integrated system to quantify symptoms of Parkinson's disease. PubMed. 2. 1822–1825. 2 indexed citations
9.
Pourfar, Michael, Alon Y. Mogilner, Sierra Farris, et al.. (2015). Model-Based Deep Brain Stimulation Programming for Parkinson's Disease: The GUIDE Pilot Study. Stereotactic and Functional Neurosurgery. 93(4). 231–239. 38 indexed citations
10.
Pourfar, Michael, Cathy L. Budman, & Alon Y. Mogilner. (2015). A Case of Deep Brain Stimulation for Tourette's Complicated by Twiddler's Syndrome. Movement Disorders Clinical Practice. 2(2). 192–193. 6 indexed citations
11.
Motlagh, Maria G., Angeli Landeros‐Weisenberger, Andrew J. Kobets, et al.. (2013). Lessons Learned from Open-label Deep Brain Stimulation for Tourette Syndrome: Eight Cases over 7 Years. Tremor and Other Hyperkinetic Movements. 3(0). 3–3. 22 indexed citations
12.
Pourfar, Michael, Chris C. Tang, Alon Y. Mogilner, Vijay Dhawan, & David Eidelberg. (2011). Using imaging to identify psychogenic parkinsonism before deep brain stimulation surgery. Journal of neurosurgery. 116(1). 114–118. 8 indexed citations
13.
Pourfar, Michael, Andrew Feigin, Chris C. Tang, et al.. (2011). Abnormal metabolic brain networks in Tourette syndrome. Neurology. 76(11). 944–952. 62 indexed citations
14.
Carbon, Maren, Miklós Árgyelán, Christian Habeck, et al.. (2010). Increased sensorimotor network activity in DYT1 dystonia: a functional imaging study. Brain. 133(3). 690–700. 73 indexed citations
15.
Pourfar, Michael, Chengke Tang, Tanya Lin, et al.. (2009). Assessing the microlesion effect of subthalamic deep brain stimulation surgery with FDG PET. Journal of neurosurgery. 110(6). 1278–1282. 48 indexed citations
16.
Bailine, Samuel H., et al.. (2008). Bitemporal Electroconvulsive Therapy for Depression in a Parkinson Disease Patient With a Deep-Brain Stimulator. Journal of Ect. 24(2). 171–172. 21 indexed citations
17.
Huang, Chaorui, Chengke Tang, Andrew Feigin, et al.. (2007). Changes in network activity with the progression of Parkinson's disease. Brain. 130(7). 1834–1846. 321 indexed citations
18.
Okun, Michael S., Michele Tagliati, Michael Pourfar, et al.. (2005). Management of Referred Deep Brain Stimulation Failures. Archives of Neurology. 62(8). 1250–1250. 286 indexed citations
19.
Pourfar, Michael, Renzo Guerrini, D. Parain, & Steven J. Frucht. (2005). Classification conundrums in paroxysmal dyskinesias: A new subtype or variations on classic themes?. Movement Disorders. 20(8). 1047–1051. 13 indexed citations
20.
Pourfar, Michael. (1968). Blood eosinophil. Changes in health and disease in children.. PubMed. 68(14). 1947–52. 2 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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