Casey H. Halpern

8.1k total citations
148 papers, 4.0k citations indexed

About

Casey H. Halpern is a scholar working on Neurology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Casey H. Halpern has authored 148 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 107 papers in Neurology, 41 papers in Cellular and Molecular Neuroscience and 40 papers in Cognitive Neuroscience. Recurrent topics in Casey H. Halpern's work include Neurological disorders and treatments (95 papers), Parkinson's Disease Mechanisms and Treatments (28 papers) and Epilepsy research and treatment (20 papers). Casey H. Halpern is often cited by papers focused on Neurological disorders and treatments (95 papers), Parkinson's Disease Mechanisms and Treatments (28 papers) and Epilepsy research and treatment (20 papers). Casey H. Halpern collaborates with scholars based in United States, Canada and France. Casey H. Halpern's co-authors include Gordon H. Baltuch, Jurg L. Jaggi, Sherman C. Stein, Andrew H. Milby, Shabbar F. Danish, Allen L. Ho, Arjun V. Pendharkar, Jaimie M. Henderson, Pejman Ghanouni and Murray Grossman and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Casey H. Halpern

142 papers receiving 4.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Casey H. Halpern United States 37 2.0k 1.4k 1.1k 613 606 148 4.0k
Daniel O. Claassen United States 34 2.1k 1.1× 987 0.7× 884 0.8× 1.2k 2.0× 364 0.6× 198 4.7k
Lo J. Bour Netherlands 35 2.0k 1.0× 1.1k 0.8× 1.2k 1.0× 589 1.0× 551 0.9× 111 3.9k
Aviva Abosch United States 34 2.6k 1.3× 1.7k 1.2× 651 0.6× 246 0.4× 391 0.6× 98 4.2k
Asta K. Håberg Norway 43 988 0.5× 785 0.6× 1.4k 1.2× 827 1.3× 473 0.8× 191 5.6k
Etsuji Yoshikawa Japan 33 901 0.5× 1.4k 1.0× 872 0.8× 636 1.0× 938 1.5× 61 4.3k
Roberto Gasparotti Italy 36 1.7k 0.9× 396 0.3× 1.4k 1.3× 985 1.6× 499 0.8× 171 5.2k
David E. Riley United States 26 2.7k 1.3× 831 0.6× 519 0.5× 632 1.0× 712 1.2× 66 3.9k
Eduard Auff Austria 40 2.2k 1.1× 590 0.4× 579 0.5× 609 1.0× 359 0.6× 159 4.4k
Peter Fuhr Switzerland 46 2.4k 1.2× 1.5k 1.0× 2.0k 1.8× 1.3k 2.0× 1.7k 2.8× 161 6.5k
Olivier Blin France 38 1.8k 0.9× 1.0k 0.7× 1.2k 1.1× 1.2k 1.9× 318 0.5× 170 4.9k

Countries citing papers authored by Casey H. Halpern

Since Specialization
Citations

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

Fields of papers citing papers by Casey H. Halpern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Casey H. Halpern. 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 Casey H. Halpern. The network helps show where Casey H. Halpern may publish in the future.

Co-authorship network of co-authors of Casey H. Halpern

This figure shows the co-authorship network connecting the top 25 collaborators of Casey H. Halpern. A scholar is included among the top collaborators of Casey H. Halpern 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 Casey H. Halpern. Casey H. Halpern 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.
Das, Rig, S. Gliske, Siqun Tang, et al.. (2024). Sleep macro-architecture in patients with Parkinson’s disease does not change during the first night of neurostimulation in a pilot study. Journal of Clinical Sleep Medicine. 20(9). 1489–1496.
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Han, Lichy, David Purger, Casey H. Halpern, et al.. (2024). Deep learning models using intracranial and scalp EEG for predicting sedation level during emergence from anaesthesia. SHILAP Revista de lepidopterología. 12. 100347–100347. 2 indexed citations
4.
Pomeraniec, I. Jonathan, Susanna Howard, Linda J. Bagley, et al.. (2024). Intraprocedural Three-Dimensional Imaging Registration Optimizes Magnetic Resonance Imaging–Guided Focused Ultrasound and Facilitates Novel Applications. Operative Neurosurgery. 29(2). 281–287. 2 indexed citations
5.
Kellogg, Marissa, Lia Ernst, David Spencer, et al.. (2024). Dual Treatment of Refractory Focal Epilepsy and Obsessive-Compulsive Disorder With Intracranial Responsive Neurostimulation. Neurology Clinical Practice. 14(4). e200318–e200318. 3 indexed citations
6.
Buch, Vivek, David Purger, Allan Wang, et al.. (2024). “Quality over quantity:” smaller, targeted lesions optimize quality of life outcomes after MR-guided focused ultrasound thalamotomy for essential tremor. Frontiers in Neurology. 15. 1450699–1450699.
7.
Modi, Pranav, et al.. (2023). Magnetic Resonance Guided Focused Ultrasound Thalamotomy for Treatment of Severe Essential Tremor in a Lung Transplant Recipient–A Case Report. Transplantation Proceedings. 55(8). 1988–1990. 1 indexed citations
8.
Summers, Michael, Siqun Tang, Casey H. Halpern, et al.. (2023). Evaluation of consensus sleep stage scoring of dysregulated sleep in Parkinson's disease. Sleep Medicine. 107. 236–242. 4 indexed citations
9.
Barbosa, Daniel A. N., Xue Zhang, Matthew B. Pomrenze, et al.. (2023). UNRAVELing the synergistic effects of psilocybin and environment on brain-wide immediate early gene expression in mice. Neuropsychopharmacology. 48(12). 1798–1807. 25 indexed citations
10.
Halpern, Casey H., et al.. (2023). Are we getting closer to offering deep brain stimulation for treatment-resistant depression in clinical practice?. Molecular Psychiatry. 28(7). 2627–2629. 2 indexed citations
11.
Wang, Allan, Daniel A. N. Barbosa, Kelsey E. Hagan, et al.. (2023). Human habit neural circuitry may be perturbed in eating disorders. Science Translational Medicine. 15(689). eabo4919–eabo4919. 9 indexed citations
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Barbosa, Daniel A. N., Hongjie Jiang, Zhe Zheng, et al.. (2021). A connectomic analysis of deep brain stimulation for treatment-resistant depression. Brain stimulation. 14(5). 1226–1233. 27 indexed citations
15.
Barbosa, Daniel A. N., et al.. (2021). Focused ultrasound for functional neurosurgery. Journal of Neuro-Oncology. 156(1). 17–22. 10 indexed citations
16.
Razavi, Babak, Vikram R. Rao, Krzysztof A. Bujarski, et al.. (2020). Real‐world experience with direct brain‐responsive neurostimulation for focal onset seizures. Epilepsia. 61(8). 1749–1757. 84 indexed citations
17.
Huang, Yuhao, Steven Leung, Jonathon J. Parker, et al.. (2019). Anatomic and Thermometric Analysis of Cranial Nerve Palsy after Laser Amygdalohippocampotomy for Mesial Temporal Lobe Epilepsy. Operative Neurosurgery. 18(6). 684–691. 3 indexed citations
18.
Kumar, Kevin K., Geoffrey Appelboom, Arthur L. Caplan, et al.. (2019). Comparative effectiveness of neuroablation and deep brain stimulation for treatment-resistant obsessive-compulsive disorder: a meta-analytic study. Journal of Neurology Neurosurgery & Psychiatry. 90(4). 469–473. 38 indexed citations
19.
Le, Scheherazade, Allen L. Ho, Robert S. Fisher, et al.. (2018). Laser interstitial thermal therapy (LITT): Seizure outcomes for refractory mesial temporal lobe epilepsy. Epilepsy & Behavior. 89. 37–41. 59 indexed citations
20.
Ho, Allen L., David Dadey, Arjun V. Pendharkar, et al.. (2018). Deep Brain Stimulation for Chronic Cluster Headache: A Review. Neuromodulation Technology at the Neural Interface. 22(4). 388–397. 30 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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