Graham W. Johnson

810 total citations
33 papers, 416 citations indexed

About

Graham W. Johnson is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health. According to data from OpenAlex, Graham W. Johnson has authored 33 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cognitive Neuroscience, 14 papers in Radiology, Nuclear Medicine and Imaging and 14 papers in Psychiatry and Mental health. Recurrent topics in Graham W. Johnson's work include Functional Brain Connectivity Studies (19 papers), Epilepsy research and treatment (14 papers) and EEG and Brain-Computer Interfaces (11 papers). Graham W. Johnson is often cited by papers focused on Functional Brain Connectivity Studies (19 papers), Epilepsy research and treatment (14 papers) and EEG and Brain-Computer Interfaces (11 papers). Graham W. Johnson collaborates with scholars based in United States, Sweden and China. Graham W. Johnson's co-authors include Dario J. Englot, Victoria L. Morgan, Hernán F. J. González, Baxter P. Rogers, Benoît M. Dawant, Catie Chang, Leon Y. Cai, Danika Paulo, John D. Rolston and Kanupriya Gupta and has published in prestigious journals such as Brain, Neurology and Spine.

In The Last Decade

Graham W. Johnson

30 papers receiving 413 citations

Peers

Graham W. Johnson

PMH

RNMI

CMN

NEURO

Lene Duez Denmark

Umair J. Chaudhary United Kingdom

Shigetoshi Takaya Japan

Yaroslav Parpaley Germany

Jeffrey Bolton United States

Mark Nowell United Kingdom

Shuichi Umeoka Japan

Anne‐Sophie Job France

Barbara A. K. Kreilkamp United Kingdom

Takumi Mitsuhashi Japan

Lene Duez Denmark

Graham W. Johnson

202 ×0.7

172 ×1.0

PMH

40 ×0.3

RNMI

80 ×1.0

CMN

89 ×1.5

NEURO

Citations per year, relative to Graham W. Johnson Graham W. Johnson (= 1×) peers Lene Duez

Countries citing papers authored by Graham W. Johnson

Since Specialization

Citations

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

Fields of papers citing papers by Graham W. Johnson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Graham W. Johnson. 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 Graham W. Johnson. The network helps show where Graham W. Johnson may publish in the future.

Co-authorship network of co-authors of Graham W. Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of Graham W. Johnson. A scholar is included among the top collaborators of Graham W. Johnson 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 Graham W. Johnson. Graham W. Johnson 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

Johnson, Graham W., et al.. (2025). Artificial intelligence image analysis for Hounsfield units in preoperative thoracolumbar CT scans: an automated screening for osteoporosis in patients undergoing spine surgery. Journal of Neurosurgery Spine. 43(1). 1–8. 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.

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

Johnson, Graham W., et al.. (2024). Indirect structural changes and reduced controllability after temporal lobe epilepsy resection. Epilepsia. 65(3). 675–686. 2 indexed citations

Younus, Iyan, Hani Chanbour, Jeffrey Chen, et al.. (2024). Combined Anterior–Posterior vs. Posterior-Only Approach in Adult Spinal Deformity Surgery: Which Strategy Is Superior?. Journal of Clinical Medicine. 13(3). 682–682. 1 indexed citations

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

Johnson, Graham W., et al.. (2023). Structural disconnection relates to functional changes after temporal lobe epilepsy surgery. Brain. 146(9). 3913–3922. 7 indexed citations

10.

Johnson, Graham W., et al.. (2023). Imaging and Stereotactic Electroencephalography Functional Networks to Guide Epilepsy Surgery. Neurosurgery Clinics of North America. 35(1). 61–72.

11.

Johnson, Graham W., Hernán F. J. González, Danika Paulo, et al.. (2023). Deep Learning Segmentation of the Nucleus Basalis of Meynert on 3T MRI. American Journal of Neuroradiology. 44(9). 1020–1025. 9 indexed citations

12.

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

13.

Johnson, Graham W., Yu Mu, Misha B. Ahrens, et al.. (2023). Time-resolved correlation of distributed brain activity tracks E-I balance and accounts for diverse scale-free phenomena. Cell Reports. 42(4). 112254–112254. 9 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.

Johnson, Graham W., Hernán F. J. González, Danika Paulo, et al.. (2023). Abnormal functional connectivity of the posterior hypothalamus and other arousal regions in surgical temporal lobe epilepsy. Journal of neurosurgery. 139(3). 640–650. 2 indexed citations

16.

Sinha, Nishant, Graham W. Johnson, Kathryn A. Davis, & Dario J. Englot. (2022). Integrating Network Neuroscience Into Epilepsy Care: Progress, Barriers, and Next Steps. Epiliepsy currents. 22(5). 272–278. 21 indexed citations

17.

González, Hernán F. J., Graham W. Johnson, Kevin F. Haas, et al.. (2021). Role of the Nucleus Basalis as a Key Network Node in Temporal Lobe Epilepsy. Neurology. 96(9). e1334–e1346. 18 indexed citations

18.

Cai, Leon Y., Qi Yang, Colin B. Hansen, et al.. (2021). PreQual: An automated pipeline for integrated preprocessing and quality assurance of diffusion weighted MRI images. Magnetic Resonance in Medicine. 86(1). 456–470. 63 indexed citations

19.

Gupta, Kanupriya, Graham W. Johnson, Kevin F. Haas, et al.. (2020). Seizure‐onset regions demonstrate high inward directed connectivity during resting‐state: An SEEG study in focal epilepsy. Epilepsia. 61(11). 2534–2544. 55 indexed citations

20.

González, Hernán F. J., et al.. (2020). People with mesial temporal lobe epilepsy have altered thalamo-occipital brain networks. Epilepsy & Behavior. 115. 107645–107645. 13 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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