Sarah K. Bick

1.0k total citations
38 papers, 413 citations indexed

About

Sarah K. Bick is a scholar working on Neurology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Sarah K. Bick has authored 38 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Neurology, 13 papers in Cellular and Molecular Neuroscience and 11 papers in Cognitive Neuroscience. Recurrent topics in Sarah K. Bick's work include Neurological disorders and treatments (16 papers), Parkinson's Disease Mechanisms and Treatments (12 papers) and EEG and Brain-Computer Interfaces (7 papers). Sarah K. Bick is often cited by papers focused on Neurological disorders and treatments (16 papers), Parkinson's Disease Mechanisms and Treatments (12 papers) and EEG and Brain-Computer Interfaces (7 papers). Sarah K. Bick collaborates with scholars based in United States, Sweden and Italy. Sarah K. Bick's co-authors include Emad N. Eskandar, Danika Paulo, Dario J. Englot, Graham W. Johnson, Shawniqua Williams Roberson, Thomas A. Anderson, Victoria L. Morgan, Ala Nozari, Hakmook Kang and Leon Y. Cai and has published in prestigious journals such as NeuroImage, Brain and Journal of neurosurgery.

In The Last Decade

Sarah K. Bick

32 papers receiving 409 citations

Peers

Sarah K. Bick

NEURO

PFM

PMH

CMN

Jae Meen Lee South Korea

Gençer Genç Türkiye

Claire Nicholson United Kingdom

Edoardo Mazzucchi Italy

Jean Claude Peragut France

Brian N. Maddux United States

Kara Krajewski Germany

Ioannis G. Panourias Greece

Marie‐Pierre Fournier‐Gosselin Canada

Nebras M. Warsi Canada

Jae Meen Lee South Korea

Sarah K. Bick

122 ×0.6

NEURO

54 ×0.4

PFM

125 ×0.9

53 ×0.5

PMH

60 ×0.7

CMN

Citations per year, relative to Sarah K. Bick Sarah K. Bick (= 1×) peers Jae Meen Lee

Countries citing papers authored by Sarah K. Bick

Since Specialization

Citations

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

Fields of papers citing papers by Sarah K. Bick

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah K. Bick. 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 Sarah K. Bick. The network helps show where Sarah K. Bick may publish in the future.

Co-authorship network of co-authors of Sarah K. Bick

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

All Works

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20 of 20 papers shown

Makhoul, Ghassan S., Graham W. Johnson, Hakmook Kang, et al.. (2025). Collapse of interictal suppressive networks permits seizure spread. Brain. 148(12). 4275–4287. 1 indexed citations

Wang, Zhengyang, et al.. (2025). Increased frontoparietal activity related to lower performance in neuropsychological assessment of working memory. NeuroImage. 313. 121240–121240. 1 indexed citations

Gummadavelli, Abhijeet, Graham W. Johnson, Ghassan S. Makhoul, et al.. (2025). Impact of disease duration and surgical intervention on arousal networks in temporal lobe epilepsy. Journal of neurosurgery. 142(6). 1525–1534.

Lyons, Alexander T., Daniel Habib, Idris Long, et al.. (2025). Effect of deep brain stimulation on nonmotor symptoms in essential tremor. Journal of neurosurgery. 143(1). 38–52.

Johnson, Graham W., Ghassan S. Makhoul, Danika Paulo, et al.. (2024). Network signatures define consciousness state during focal seizures. Epilepsia. 65(9). 2686–2699. 3 indexed citations

Bick, Sarah K., Ghassan S. Makhoul, Abhijeet Gummadavelli, et al.. (2024). The interictal suppression hypothesis is the dominant differentiator of seizure onset zones in focal epilepsy. Brain. 147(9). 3009–3017. 9 indexed citations

Lyons, Alexander T., Stefan W. Koester, Danika Paulo, et al.. (2024). Global Economic Evaluation of the Reported Costs of Deep Brain Stimulation. Stereotactic and Functional Neurosurgery. 102(4). 257–274. 6 indexed citations

Habib, Daniel, et al.. (2024). The association between motor and non-motor symptoms in essential tremor patients being evaluated for deep brain stimulation surgery. Journal of Clinical Neuroscience. 122. 59–65. 2 indexed citations

Subramanian, Subha, et al.. (2024). A Case of Treatment-Resistant Depression Complicated by Traumatic Brain Injury and Seizure: Implications for Interventional Treatment and Psychiatric Training. Harvard Review of Psychiatry. 32(3). 117–125.

10.

Wang, Zhengyang, S. Gatti, Graham W. Johnson, et al.. (2024). Brain-wide human oscillatory local field potential activity during visual working memory. iScience. 27(3). 109130–109130. 2 indexed citations

11.

Johnson, Graham W., Victoria L. Morgan, Danika Paulo, et al.. (2023). The Interictal Suppression Hypothesis in focal epilepsy: network-level supporting evidence. Brain. 146(7). 2828–2845. 52 indexed citations

12.

Bick, Sarah K., et al.. (2023). Improving Visual Working Memory with Cholinergic Deep Brain Stimulation. Brain Sciences. 13(6). 917–917. 1 indexed citations

13.

Franco, Giulia, Paula Trujillo, Alexander M. Lopez, et al.. (2023). Structural brain differences in essential tremor and Parkinson’s disease deep brain stimulation patients. Journal of Clinical Neuroscience. 115. 121–128. 1 indexed citations

14.

Paulo, Danika, Graham W. Johnson, Hernán F. J. González, et al.. (2023). Intraoperative physiology augments atlas-based data in awake deep brain stimulation. Journal of Neurology Neurosurgery & Psychiatry. 95(1). 86–96. 2 indexed citations

15.

Qi, Xue-Lian, Fernando Ĺ. Vale, Sarah K. Bick, et al.. (2022). Protocol for behavioral and neural recording during stimulation of the macaque monkey nucleus basalis. STAR Protocols. 3(1). 101136–101136.

16.

Paulo, Danika & Sarah K. Bick. (2021). Advanced Imaging in Psychiatric Neurosurgery: Toward Personalized Treatment. Neuromodulation Technology at the Neural Interface. 25(2). 195–201. 5 indexed citations

17.

Wang, Amy J., Sarah K. Bick, & Ziv M. Williams. (2020). Vagus Nerve Stimulation versus Responsive Neurostimulator System in Patients with Temporal Lobe Epilepsy. Stereotactic and Functional Neurosurgery. 98(1). 21–29. 12 indexed citations

18.

Patel, Shaun R., Todd M. Herrington, Sameer A. Sheth, et al.. (2018). Intermittent subthalamic nucleus deep brain stimulation induces risk-aversive behavior in human subjects. eLife. 7. 11 indexed citations

19.

Bick, Sarah K., et al.. (2018). Is a Retrolaminar Approach to the Thoracic Paravertebral Space Possible?. Regional Anesthesia & Pain Medicine. 43(8). 1–1. 30 indexed citations

20.

Bick, Sarah K. & Navid Redjal. (2016). Acute lymphocytic leukemia presenting as a single brain mass. Journal of Clinical Neuroscience. 33. 244–246. 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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