Joon Y. Kang

1.2k total citations
36 papers, 835 citations indexed

About

Joon Y. Kang is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Joon Y. Kang has authored 36 papers receiving a total of 835 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Psychiatry and Mental health, 15 papers in Cognitive Neuroscience and 11 papers in Cellular and Molecular Neuroscience. Recurrent topics in Joon Y. Kang's work include Epilepsy research and treatment (17 papers), EEG and Brain-Computer Interfaces (14 papers) and Neural dynamics and brain function (9 papers). Joon Y. Kang is often cited by papers focused on Epilepsy research and treatment (17 papers), EEG and Brain-Computer Interfaces (14 papers) and Neural dynamics and brain function (9 papers). Joon Y. Kang collaborates with scholars based in United States and France. Joon Y. Kang's co-authors include Michael R. Sperling, Scott Mintzer, Maromi Nei, Mohammad Athar, Jacqueline Urtecho, Jack Jallo, Fred Rincón, James J. Evans, Chengyuan Wu and Ashwini Sharan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Brain and Neurology.

In The Last Decade

Joon Y. Kang

32 papers receiving 822 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joon Y. Kang United States 13 356 266 240 206 159 36 835
Noémie Ligot Belgium 14 178 0.5× 152 0.6× 229 1.0× 120 0.6× 114 0.7× 42 615
Koji Iida Japan 25 669 1.9× 280 1.1× 269 1.1× 319 1.5× 66 0.4× 87 1.4k
Marie‐Dominique Lamblin France 17 213 0.6× 99 0.4× 392 1.6× 140 0.7× 169 1.1× 47 1.1k
Krisztina Benedek Denmark 18 312 0.9× 135 0.5× 345 1.4× 135 0.7× 24 0.2× 44 828
Alan M. Haltiner United States 15 519 1.5× 204 0.8× 193 0.8× 157 0.8× 39 0.2× 26 785
Amy Z. Crepeau United States 12 258 0.7× 187 0.7× 114 0.5× 110 0.5× 25 0.2× 32 596
C. Fischer France 22 313 0.9× 610 2.3× 539 2.2× 214 1.0× 94 0.6× 66 1.7k
Ian A. Herrick Canada 17 166 0.5× 130 0.5× 224 0.9× 219 1.1× 61 0.4× 34 881
Çetin Okuyaz Türkiye 17 433 1.2× 129 0.5× 110 0.5× 128 0.6× 82 0.5× 80 899
Marijke Miatton Belgium 14 111 0.3× 150 0.6× 294 1.2× 132 0.6× 190 1.2× 39 862

Countries citing papers authored by Joon Y. Kang

Since Specialization
Citations

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

Fields of papers citing papers by Joon Y. Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joon Y. Kang. 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 Joon Y. Kang. The network helps show where Joon Y. Kang may publish in the future.

Co-authorship network of co-authors of Joon Y. Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Joon Y. Kang. A scholar is included among the top collaborators of Joon Y. Kang 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 Joon Y. Kang. Joon Y. Kang 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.
Sarma, Sridevi V., Kristin M. Gunnarsdottir, Nathan E. Crone, et al.. (2024). Virtual stimulation of the interictal EEG network localizes the EZ as a measure of cortical excitability. SHILAP Revista de lepidopterología. 4. 1425625–1425625.
2.
Smith, Rachel J., et al.. (2024). Network excitability of stimulation-induced spectral responses helps localize the seizure onset zone. Clinical Neurophysiology. 166. 43–55.
3.
4.
Hwang, Brian Y., David Mampre, Yohannes Tsehay, et al.. (2022). Ablation of apparent diffusion coefficient hyperintensity clusters in mesial temporal lobe epilepsy improves seizure outcomes after laser interstitial thermal therapy. Epilepsia. 64(3). 654–666. 3 indexed citations
5.
Smith, Rachel J., et al.. (2022). Stimulating native seizures with neural resonance: a new approach to localize the seizure onset zone. Brain. 145(11). 3886–3900. 14 indexed citations
6.
Hwang, Brian Y., David Mampre, Yohannes Tsehay, et al.. (2022). Piriform Cortex Ablation Volume Is Associated With Seizure Outcome in Mesial Temporal Lobe Epilepsy. Neurosurgery. 91(3). 414–421. 11 indexed citations
7.
Hwang, Brian Y., David Mampre, Yohannes Tsehay, et al.. (2021). Apparent diffusion coefficient is associated with seizure outcome after magnetic resonance-guided laser interstitial thermal therapy for mesial temporal lobe epilepsy. Epilepsy Research. 176. 106726–106726. 4 indexed citations
8.
Wang, Yujing, Christopher Coogan, Joon Y. Kang, et al.. (2021). Spatial-Temporal Functional Mapping Combined With Cortico-Cortical Evoked Potentials in Predicting Cortical Stimulation Results. Frontiers in Human Neuroscience. 15. 661976–661976. 4 indexed citations
9.
Smith, Rachel J., et al.. (2021). Effects of stimulation intensity on intracranial cortico-cortical evoked potentials: A titration study. Clinical Neurophysiology. 132(11). 2766–2777. 14 indexed citations
10.
Kang, Joon Y., Gayane Yenokyan, Brian Y. Hwang, et al.. (2020). Odor identification predicts postoperative seizure control following magnetic resonance–guided laser interstitial thermal therapy. Epilepsia. 61(9). 1949–1957. 2 indexed citations
11.
Smith, Rachel J., et al.. (2020). Transfer Function Models for the Localization of Seizure Onset Zone From Cortico-Cortical Evoked Potentials. Frontiers in Neurology. 11. 579961–579961. 15 indexed citations
12.
Hwang, Brian Y., David Mampre, Joon Y. Kang, Gregory L. Krauss, & William S. Anderson. (2020). Laser interstitial thermal therapy after failed anterior temporal lobectomy and amygdalohippocampectomy can improve seizure outcome. Epilepsy & Behavior Reports. 14. 100366–100366. 6 indexed citations
13.
Kang, Joon Y., et al.. (2020). Postictal stertor: Associations with focal and bilateral seizure types. Epilepsy & Behavior. 110. 107103–107103. 3 indexed citations
14.
Kang, Joon Y. & Gregory L. Krauss. (2019). Normal Variants Are Commonly Overread as Interictal Epileptiform Abnormalities. Journal of Clinical Neurophysiology. 36(4). 257–263. 23 indexed citations
15.
Kang, Joon Y., et al.. (2017). Equivocal significance of post-ictal generalized EEG suppression as a marker of SUDEP risk. Seizure. 48. 28–32. 34 indexed citations
16.
Kang, Joon Y. & Scott Mintzer. (2016). Driving and Epilepsy: a Review of Important Issues. Current Neurology and Neuroscience Reports. 16(9). 80–80. 25 indexed citations
17.
Kang, Joon Y. & Michael R. Sperling. (2016). Magnetic Resonance Imaging-Guided Laser Interstitial Thermal Therapy for Treatment of Drug-Resistant Epilepsy. Neurotherapeutics. 14(1). 176–181. 17 indexed citations
18.
Rincón, Fred, Joon Y. Kang, Matthew Vibbert, et al.. (2013). Significance of arterial hyperoxia and relationship with case fatality in traumatic brain injury: a multicentre cohort study. Journal of Neurology Neurosurgery & Psychiatry. 85(7). 799–805. 97 indexed citations
19.
Kang, Joon Y., Mitchell Maltenfort, Matthew Vibbert, et al.. (2012). Significance of Admission Arterial Hyperoxia in Critically-Ill Stroke Patients (P02.222). Neurology. 78(Meeting Abstracts 1). P02.222–P02.222. 2 indexed citations
20.
Weller, Elizabeth B., et al.. (2006). Depression in children and adolescents: Does gender make a difference?. Current Psychiatry Reports. 8(2). 108–114. 38 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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