Katherine D. Holland

2.9k total citations
83 papers, 2.1k citations indexed

About

Katherine D. Holland is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Katherine D. Holland has authored 83 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Psychiatry and Mental health, 30 papers in Cognitive Neuroscience and 21 papers in Cellular and Molecular Neuroscience. Recurrent topics in Katherine D. Holland's work include Epilepsy research and treatment (46 papers), EEG and Brain-Computer Interfaces (24 papers) and Neuroscience and Neuropharmacology Research (17 papers). Katherine D. Holland is often cited by papers focused on Epilepsy research and treatment (46 papers), EEG and Brain-Computer Interfaces (24 papers) and Neuroscience and Neuropharmacology Research (17 papers). Katherine D. Holland collaborates with scholars based in United States, Russia and Brazil. Katherine D. Holland's co-authors include Ravindra Arya, Francesco T. Mangano, Paul S. Horn, James A. Ferrendelli, Tracy A. Glauser, Hansel M. Greiner, Douglas F. Covey, Douglas F. Rose, Elaine Wyllie and Tobias Loddenkemper and has published in prestigious journals such as Neuron, PLoS ONE and Neurology.

In The Last Decade

Katherine D. Holland

81 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katherine D. Holland United States 25 989 811 553 515 488 83 2.1k
Kiyoshi Morimoto Japan 20 697 0.7× 1.4k 1.8× 397 0.7× 637 1.2× 288 0.6× 78 2.1k
Francine Chassoux France 34 2.1k 2.1× 1.0k 1.3× 705 1.3× 434 0.8× 1.3k 2.6× 72 3.5k
James O. McNamara United States 21 584 0.6× 1.3k 1.6× 297 0.5× 950 1.8× 255 0.5× 32 2.1k
Erwin‐Josef Speckmann Germany 23 667 0.7× 906 1.1× 357 0.6× 604 1.2× 202 0.4× 79 1.7k
Pulak K. Chakraborty United States 28 664 0.7× 375 0.5× 817 1.5× 371 0.7× 297 0.6× 61 2.6k
Raimondo D’Ambrosio United States 25 645 0.7× 1.3k 1.6× 354 0.6× 869 1.7× 307 0.6× 34 2.1k
Stefanie Dedeurwaerdere Belgium 25 634 0.6× 840 1.0× 426 0.8× 347 0.7× 226 0.5× 80 1.9k
Chris G. Dulla United States 24 302 0.3× 865 1.1× 289 0.5× 503 1.0× 141 0.3× 47 1.5k
Anne Williamson United States 33 730 0.7× 2.0k 2.5× 782 1.4× 1.3k 2.4× 191 0.4× 49 3.3k

Countries citing papers authored by Katherine D. Holland

Since Specialization
Citations

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

Fields of papers citing papers by Katherine D. Holland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katherine D. Holland. 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 Katherine D. Holland. The network helps show where Katherine D. Holland may publish in the future.

Co-authorship network of co-authors of Katherine D. Holland

This figure shows the co-authorship network connecting the top 25 collaborators of Katherine D. Holland. A scholar is included among the top collaborators of Katherine D. Holland 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 Katherine D. Holland. Katherine D. Holland 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.
Fujiwara, Hisako, Darren S. Kadis, Hansel M. Greiner, et al.. (2022). Clinical validation of magnetoencephalography network analysis for presurgical epilepsy evaluation. Clinical Neurophysiology. 142. 199–208. 5 indexed citations
2.
Skoch, Jesse, Ravindra Arya, Katherine D. Holland, et al.. (2022). Comparison of outcomes after stereoelectroencephalography and subdural grid monitoring in pediatric tuberous sclerosis complex. Neurosurgical FOCUS. 53(4). E5–E5. 9 indexed citations
3.
Trout, Andrew T., Rupa Radhakrishnan, Paul S. Horn, et al.. (2021). Subtraction ictal SPECT co-registered to MRI (SISCOM) patterns in children with temporal lobe epilepsy. Epilepsy & Behavior. 121(Pt A). 108074–108074. 2 indexed citations
4.
Ritter, David M., Paul S. Horn, & Katherine D. Holland. (2021). In Silico Predictions of KCNQ Variant Pathogenicity in Epilepsy. Pediatric Neurology. 118. 48–54. 3 indexed citations
5.
Byars, Anna W., Paul S. Horn, Hansel M. Greiner, et al.. (2020). Neuropsychological outcomes after pediatric epilepsy surgery: Role of electrical stimulation language mapping. Seizure. 80. 183–191. 6 indexed citations
6.
Rozhkov, Leonid, Paul S. Horn, Anna W. Byars, et al.. (2020). High-gamma modulation language mapping with stereo-EEG: A novel analytic approach and diagnostic validation. Clinical Neurophysiology. 131(12). 2851–2860. 18 indexed citations
7.
Arya, Ravindra, et al.. (2018). Ictal nose wiping in childhood absence epilepsy: A case series. Clinical Neurology and Neurosurgery. 172. 134–136. 1 indexed citations
8.
Leach, James L., Paul S. Horn, Christine G. Spaeth, et al.. (2017). Epilepsy prevalence and severity predictors in MRI-identified focal cortical dysplasia. Epilepsy Research. 132. 41–49. 21 indexed citations
9.
Arya, Ravindra, James Leach, Paul S. Horn, et al.. (2016). Clinical factors predict surgical outcomes in pediatric MRI-negative drug-resistant epilepsy. Seizure. 41. 56–61. 19 indexed citations
10.
Greiner, Hansel M., Paul S. Horn, Jeffrey R. Tenney, et al.. (2016). Should spikes on post-resection ECoG guide pediatric epilepsy surgery?. Epilepsy Research. 122. 73–78. 12 indexed citations
11.
Greiner, Hansel M., Anna W. Byars, Todd M. Arthur, et al.. (2016). Vagus Nerve Stimulation for Electrographic Status Epilepticus in Slow-Wave Sleep. Pediatric Neurology. 60. 66–70. 9 indexed citations
12.
Connolly, B., Robert Faist, Constance E. West, et al.. (2014). A Statistical Approach for Visualizing the Quality of Multi-Hospital Data. Visible Language. 48(3). 68. 2 indexed citations
13.
Matykiewicz, Paweł, Kevin Bretonnel Cohen, Katherine D. Holland, et al.. (2013). Earlier Identification of Epilepsy Surgery Candidates Using Natural Language Processing. Meeting of the Association for Computational Linguistics. 1–9. 10 indexed citations
14.
Arya, Ravindra, et al.. (2013). Vagus nerve stimulation for medically refractory absence epilepsy. Seizure. 22(4). 267–270. 31 indexed citations
15.
Castro, Olagide Wagner de, Victor Rodrigues Santos, Raymund Y.K. Pun, et al.. (2012). Impact of Corticosterone Treatment on Spontaneous Seizure Frequency and Epileptiform Activity in Mice with Chronic Epilepsy. PLoS ONE. 7(9). e46044–e46044. 62 indexed citations
16.
Pun, Raymund Y.K., Candi L. LaSarge, Juli D. Uhl, et al.. (2012). Excessive Activation of mTOR in Postnatally Generated Granule Cells Is Sufficient to Cause Epilepsy. Neuron. 75(6). 1022–1034. 212 indexed citations
17.
Nordli, Douglas R., Elaine Wyllie, & Katherine D. Holland. (2001). Advances in our understanding of early childhood epilepsies: 1999–2000. Current Neurology and Neuroscience Reports. 1(4). 390–395. 1 indexed citations
18.
Canney, Daniel J., Ann C. McKeon, Kong-Woo Yoon, et al.. (1998). Structure-activity studies of fluoroaljyl-substituted γ-butyrolactone and γ-thiobutyrolactone modulators of GABAA receptor function. Bioorganic & Medicinal Chemistry. 6(1). 43–55. 24 indexed citations
19.
20.
Covey, Douglas F., et al.. (1993). Modulation of GABAA receptor function by benz[e]indenes and phenanthrenes. Journal of Medicinal Chemistry. 36(5). 627–630. 15 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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