Mark R. Witcher

1.3k total citations
33 papers, 793 citations indexed

About

Mark R. Witcher is a scholar working on Cellular and Molecular Neuroscience, Neurology and Cognitive Neuroscience. According to data from OpenAlex, Mark R. Witcher has authored 33 papers receiving a total of 793 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cellular and Molecular Neuroscience, 13 papers in Neurology and 8 papers in Cognitive Neuroscience. Recurrent topics in Mark R. Witcher's work include Neurological disorders and treatments (6 papers), Neuroscience and Neuropharmacology Research (4 papers) and Glioma Diagnosis and Treatment (4 papers). Mark R. Witcher is often cited by papers focused on Neurological disorders and treatments (6 papers), Neuroscience and Neuropharmacology Research (4 papers) and Glioma Diagnosis and Treatment (4 papers). Mark R. Witcher collaborates with scholars based in United States, United Kingdom and Denmark. Mark R. Witcher's co-authors include Sergei A. Kirov, Kristen M. Harris, Thomas L. Ellis, Adrian W. Laxton, Yong D. Park, Mark R. Lee, P. Read Montague, Stephen B. Tatter, Kenneth T. Kishida and Ignacio Sáez and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Mark R. Witcher

31 papers receiving 785 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark R. Witcher United States 10 459 252 170 119 112 33 793
Cyril Bories Canada 16 646 1.4× 200 0.8× 87 0.5× 238 2.0× 249 2.2× 20 1.2k
Gabriella Panuccio Italy 15 419 0.9× 269 1.1× 73 0.4× 134 1.1× 107 1.0× 32 685
Adriano Cattani Germany 11 613 1.3× 518 2.1× 42 0.2× 175 1.5× 136 1.2× 16 1.0k
Joost le Feber Netherlands 20 527 1.1× 419 1.7× 55 0.3× 123 1.0× 92 0.8× 53 921
Véronique Riban France 11 534 1.2× 162 0.6× 94 0.6× 262 2.2× 103 0.9× 17 988
A. Lehmenkühler Germany 15 442 1.0× 152 0.6× 103 0.6× 234 2.0× 84 0.8× 33 773
Daniel F. English United States 15 996 2.2× 725 2.9× 94 0.6× 272 2.3× 75 0.7× 34 1.2k
Chiping Wu Canada 21 677 1.5× 461 1.8× 141 0.8× 324 2.7× 64 0.6× 40 1.1k
Francine M. Benes United States 10 301 0.7× 254 1.0× 35 0.2× 147 1.2× 58 0.5× 11 704
Daniel R. Cleary United States 18 498 1.1× 260 1.0× 36 0.2× 78 0.7× 195 1.7× 38 893

Countries citing papers authored by Mark R. Witcher

Since Specialization
Citations

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

Fields of papers citing papers by Mark R. Witcher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark R. Witcher. 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 Mark R. Witcher. The network helps show where Mark R. Witcher may publish in the future.

Co-authorship network of co-authors of Mark R. Witcher

This figure shows the co-authorship network connecting the top 25 collaborators of Mark R. Witcher. A scholar is included among the top collaborators of Mark R. Witcher 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 Mark R. Witcher. Mark R. Witcher 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.
Kishida, Kenneth T., Leonardo S. Barbosa, Dan Bang, et al.. (2025). Caudate serotonin signaling during social exchange distinguishes essential tremor and Parkinson’s disease patients. Nature Communications. 16(1). 7958–7958.
2.
Thomas, Steven, et al.. (2024). Clinical Theranostics in Recurrent Gliomas: A Review. Cancers. 16(9). 1715–1715. 9 indexed citations
3.
Lepage, Kyle Q., et al.. (2023). Unsupervised Multitaper Spectral Method for Identifying REM Sleep in Intracranial EEG Recordings Lacking EOG/EMG Data. Bioengineering. 10(9). 1009–1009. 2 indexed citations
4.
Cuoco, Joshua A., et al.. (2023). Co-occurrence of dural arteriovenous fistula and meningioma: A rare case and systematic review. World Neurosurgery X. 19. 100217–100217. 1 indexed citations
5.
Cuoco, Joshua A., et al.. (2022). Monocyte Count on Admission Is Predictive of Shunt-Dependent Hydrocephalus After Aneurysmal Subarachnoid Hemorrhage. Frontiers in Surgery. 9. 879050–879050. 3 indexed citations
6.
Cuoco, Joshua A., et al.. (2021). Neutrophil Count on Admission Predicts Acute Symptomatic Hydrocephalus After Aneurysmal Subarachnoid Hemorrhage. World Neurosurgery. 156. e338–e344. 8 indexed citations
7.
Lepage, Kyle Q., Cavan N. Fleming, Mark R. Witcher, & Sujith Vijayan. (2021). Multitaper estimates of phase-amplitude coupling. Journal of Neural Engineering. 18(5). 56028–56028. 3 indexed citations
8.
Wicks, Robert T., Mark R. Witcher, Daniel E. Couture, et al.. (2020). Hippocampal CA1 and CA3 neural recording in the human brain: validation of depth electrode placement through high-resolution imaging and electrophysiology. Neurosurgical FOCUS. 49(1). E5–E5. 5 indexed citations
9.
Cuoco, Joshua A., et al.. (2020). N-butyl cyanoacrylate embolization of a traumatic pseudoaneurysm and arteriovenous fistula of the middle meningeal artery. SHILAP Revista de lepidopterología. 15(4). 321–325. 6 indexed citations
10.
Cuoco, Joshua A., et al.. (2020). Pineal Gland Metastasis From Poorly Differentiated Carcinoma of Unknown Primary Origin. Frontiers in Endocrinology. 11. 597773–597773. 1 indexed citations
11.
12.
Moran, Rosalyn, Kenneth T. Kishida, Terry Lohrenz, et al.. (2018). The Protective Action Encoding of Serotonin Transients in the Human Brain. Neuropsychopharmacology. 43(6). 1425–1435. 63 indexed citations
13.
Hampson, Robert E., Dong Song, Brian S. Robinson, et al.. (2018). Developing a hippocampal neural prosthetic to facilitate human memory encoding and recall. Journal of Neural Engineering. 15(3). 36014–36014. 92 indexed citations
14.
Kishida, Kenneth T., Ignacio Sáez, Terry Lohrenz, et al.. (2015). Subsecond dopamine fluctuations in human striatum encode superposed error signals about actual and counterfactual reward. Proceedings of the National Academy of Sciences. 113(1). 200–205. 143 indexed citations
15.
Witcher, Mark R.. (2014). Neuronal oscillations in Parkinson's disease. Frontiers in bioscience. 19(8). 1291–1291. 6 indexed citations
16.
Witcher, Mark R. & Thomas L. Ellis. (2012). Astroglial Networks and Implications for Therapeutic Neuromodulation of Epilepsy. Frontiers in Computational Neuroscience. 6. 61–61. 15 indexed citations
17.
Witcher, Mark R., Yong D. Park, Mark R. Lee, et al.. (2009). Three‐dimensional relationships between perisynaptic astroglia and human hippocampal synapses. Glia. 58(5). 572–587. 94 indexed citations
18.
Rahimi, Scott Y., et al.. (2009). Postoperative pain management with tramadol after craniotomy: evaluation and cost analysis. Journal of neurosurgery. 112(2). 268–272. 39 indexed citations
19.
Rahimi, Scott Y., et al.. (2007). Corpus Callosotomy for Treatment of Pediatric Epilepsy in the Modern Era. Pediatric Neurosurgery. 43(3). 202–208. 32 indexed citations
20.
Witcher, Mark R., Sergei A. Kirov, & Kristen M. Harris. (2006). Plasticity of perisynaptic astroglia during synaptogenesis in the mature rat hippocampus. Glia. 55(1). 13–23. 208 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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