Michael Kohrman

3.4k total citations · 1 hit paper
59 papers, 2.3k citations indexed

About

Michael Kohrman is a scholar working on Cognitive Neuroscience, Physiology and Psychiatry and Mental health. According to data from OpenAlex, Michael Kohrman has authored 59 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cognitive Neuroscience, 20 papers in Physiology and 12 papers in Psychiatry and Mental health. Recurrent topics in Michael Kohrman's work include EEG and Brain-Computer Interfaces (17 papers), Tuberous Sclerosis Complex Research (16 papers) and Neural dynamics and brain function (13 papers). Michael Kohrman is often cited by papers focused on EEG and Brain-Computer Interfaces (17 papers), Tuberous Sclerosis Complex Research (16 papers) and Neural dynamics and brain function (13 papers). Michael Kohrman collaborates with scholars based in United States, France and Poland. Michael Kohrman's co-authors include Wim van Drongelen, Bin He, David Neal Franz, Steven Sparagana, David M. Frim, Joyce Y. Wu, Е. Д. Белоусова, Rachel Kuperman, J. Robert Flamini and E. Martina Bebin and has published in prestigious journals such as The Lancet, PLoS ONE and NeuroImage.

In The Last Decade

Michael Kohrman

58 papers receiving 2.2k citations

Hit Papers

Efficacy and safety of everolimus for subependymal giant ... 2012 2026 2016 2021 2012 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Kohrman United States 22 960 795 363 317 317 59 2.3k
Cristina Granziera Switzerland 31 340 0.4× 620 0.8× 636 1.8× 122 0.4× 244 0.8× 162 4.2k
Sara Mariani United States 28 762 0.8× 1.1k 1.4× 237 0.7× 237 0.7× 296 0.9× 87 3.1k
Antonio Gutiérrez United States 18 222 0.2× 271 0.3× 350 1.0× 328 1.0× 216 0.7× 44 2.0k
Francesca B. Pizzini Italy 31 427 0.4× 519 0.7× 207 0.6× 184 0.6× 108 0.3× 105 2.8k
Guangbin Cui China 29 268 0.3× 414 0.5× 264 0.7× 283 0.9× 134 0.4× 116 2.6k
Jungsu S. Oh South Korea 32 374 0.4× 829 1.0× 300 0.8× 186 0.6× 129 0.4× 136 3.1k
Ilya M. Nasrallah United States 26 406 0.4× 375 0.5× 520 1.4× 137 0.4× 52 0.2× 122 2.1k
Jurriaan M. Peters United States 30 610 0.6× 1.1k 1.3× 283 0.8× 90 0.3× 233 0.7× 121 2.7k
Jörg Marienhagen Germany 24 149 0.2× 304 0.4× 509 1.4× 164 0.5× 227 0.7× 65 2.2k
Onno van Nieuwenhuizen Netherlands 33 707 0.7× 328 0.4× 687 1.9× 128 0.4× 353 1.1× 117 3.5k

Countries citing papers authored by Michael Kohrman

Since Specialization
Citations

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

Fields of papers citing papers by Michael Kohrman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Kohrman

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Kohrman. A scholar is included among the top collaborators of Michael Kohrman 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 Kohrman. Michael Kohrman 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.
Swallow, Elyse, Sarah King, Jinlin Song, et al.. (2017). Patterns of Disease Monitoring and Treatment Among Patients With Tuberous Sclerosis Complex-related Angiomyolipomas. Urology. 104. 110–114. 5 indexed citations
2.
Eissa, Tahra L., Andrew K. Tryba, Charles J. Marcuccilli, et al.. (2016). Multiscale Aspects of Generation of High-Gamma Activity during Seizures in Human Neocortex. eNeuro. 3(2). ENEURO.0141–15.2016. 21 indexed citations
4.
Franz, David Neal, Е. Д. Белоусова, Steven Sparagana, et al.. (2014). Everolimus Long-Term Efficacy and Safety for the Treatment of Subependymal Giant Cell Astrocytoma (SEGA) Associated With Tuberous Sclerosis Complex (TSC) (S42.007). Neurology. 82(10_supplement). 1 indexed citations
5.
Franz, David Neal, Е. Д. Белоусова, Steven Sparagana, et al.. (2014). Everolimus for subependymal giant cell astrocytoma in patients with tuberous sclerosis complex: 2-year open-label extension of the randomised EXIST-1 study. The Lancet Oncology. 15(13). 1513–1520. 127 indexed citations
7.
Franz, David Neal, Е. Д. Белоусова, Steven Sparagana, et al.. (2012). Efficacy and safety of everolimus for subependymal giant cell astrocytomas associated with tuberous sclerosis complex (EXIST-1): a multicentre, randomised, placebo-controlled phase 3 trial. The Lancet. 381(9861). 125–132. 578 indexed citations breakdown →
9.
Marcuccilli, Charles J., Andrew K. Tryba, Wim van Drongelen, et al.. (2010). Neuronal Bursting Properties in Focal and Parafocal Regions in Pediatric Neocortical Epilepsy Stratified by Histology. Journal of Clinical Neurophysiology. 27(6). 387–397. 20 indexed citations
10.
Theyel, Brian, Michael Kohrman, David M. Frim, & Wim van Drongelen. (2010). Network Variability Across Human Tissue Samples In Vitro: The Problem and a Solution. Journal of Clinical Neurophysiology. 27(6). 412–417. 3 indexed citations
11.
Wilke, Christopher, Wim van Drongelen, Michael Kohrman, & Bin He. (2009). Neocortical seizure foci localization by means of a directed transfer function method. Epilepsia. 51(4). 564–572. 117 indexed citations
12.
Zhang, Yingchun, Wim van Drongelen, Michael Kohrman, & Bin He. (2008). Three-dimensional brain current source reconstruction from intra-cranial ECoG recordings. NeuroImage. 42(2). 683–695. 56 indexed citations
13.
Towle, Vernon L., Hyunah Yoon, J. Christopher Edgar, et al.. (2008). ECoG gamma activity during a language task: differentiating expressive and receptive speech areas. Brain. 131(8). 2013–2027. 177 indexed citations
14.
Kohrman, Michael. (2007). What is Epilepsy? Clinical Perspectives in the Diagnosis and Treatment. Journal of Clinical Neurophysiology. 24(2). 87–95. 10 indexed citations
15.
Drongelen, Wim van, et al.. (2007). Comparison of Seizure Detection Algorithms in Continuously Monitored Pediatric Patients. Journal of Clinical Neurophysiology. 24(2). 137–146. 15 indexed citations
16.
Chkhenkeli, Sozari A., Vernon L. Towle, Jean‐Paul Spire, et al.. (2006). Mutually suppressive interrelations of symmetric epileptic foci in bitemporal epilepsy and their inhibitory stimulation. Clinical Neurology and Neurosurgery. 109(1). 7–22. 13 indexed citations
17.
Meoli, Amy, Carol L. Rosen, David A. Kristo, et al.. (2003). Upper Airway Management of the Adult Patient with Obstructive Sleep Apnea in the Perioperative Period - Avoiding Complications. SLEEP. 26(8). 1060–1065. 82 indexed citations
18.
Kohrman, Michael & Paul R. Carney. (2000). Sleep-related disorders in neurologic disease during childhood. Pediatric Neurology. 23(2). 107–113. 30 indexed citations
19.
Shucard, David W., et al.. (1990). Sequential use of standard and ambulatory EEG in neonatal seizures. Pediatric Neurology. 6(3). 159–162. 1 indexed citations
20.
Kohrman, Michael, et al.. (1986). A variant of Fukuyama congenital muscular dystrophy in a non-Japanese child. Pediatric Neurology. 2(5). 290–293. 5 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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