Karen Blackmon

2.6k total citations
57 papers, 1.2k citations indexed

About

Karen Blackmon is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Karen Blackmon has authored 57 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Cognitive Neuroscience, 22 papers in Psychiatry and Mental health and 11 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Karen Blackmon's work include Epilepsy research and treatment (19 papers), Functional Brain Connectivity Studies (13 papers) and Mosquito-borne diseases and control (7 papers). Karen Blackmon is often cited by papers focused on Epilepsy research and treatment (19 papers), Functional Brain Connectivity Studies (13 papers) and Mosquito-borne diseases and control (7 papers). Karen Blackmon collaborates with scholars based in United States, Grenada and United Kingdom. Karen Blackmon's co-authors include Orrin Devinsky, Thomas Thesen, Ruben Kuzniecky, Jihye Ryu, John G. Golfinos, Stephen M. Fleming, Heath Pardoe, William Barr, Eric Halgren and Chad Carlson and has published in prestigious journals such as Nature Medicine, Neuron and Journal of Neuroscience.

In The Last Decade

Karen Blackmon

54 papers receiving 1.2k citations

Peers

Karen Blackmon

PMH

RNMI

PPCH

CMN

Derek V. M. Ott Germany

A.W. Toga United States

Maarten J. Vaessen Netherlands

Lisa Ronan United Kingdom

E. Luders United States

Takayuki Nakahachi Japan

Gustavo Sudre United States

Takuji Hayashi Japan

Andreas Buchmann Switzerland

Cinzia Perlini Italy

Derek V. M. Ott Germany

Karen Blackmon

439 ×0.6

465 ×1.1

PMH

146 ×0.8

RNMI

322 ×1.8

PPCH

89 ×0.6

CMN

Citations per year, relative to Karen Blackmon Karen Blackmon (= 1×) peers Derek V. M. Ott

Countries citing papers authored by Karen Blackmon

Since Specialization

Citations

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

Fields of papers citing papers by Karen Blackmon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karen Blackmon

This figure shows the co-authorship network connecting the top 25 collaborators of Karen Blackmon. A scholar is included among the top collaborators of Karen Blackmon 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 Karen Blackmon. Karen Blackmon 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

Omurtag, Ahmet, Thomas Thesen, Randall Waechter, et al.. (2025). Disruption of functional network development in children with prenatal Zika virus exposure revealed by resting-state EEG. Scientific Reports. 15(1). 6346–6346.

Udeh‐Momoh, Chinedu, Joaquín Migeot, Karen Blackmon, et al.. (2025). Resilience and brain health in global populations. Nature Medicine. 31(8). 2518–2531. 2 indexed citations

Shah, Jasmit, et al.. (2024). “They are perceived to be witches, and some are killed”: Community perceptions of elderly people living with Dementia in Kilifi, A Costal County in Kenya. Alzheimer s & Dementia. 20(S4).

Shin, Min Kyung, et al.. (2024). Review of epilepsy care in the Democratic Republic of the Congo. Epilepsia Open. 9(2). 467–474. 2 indexed citations

Udeh‐Momoh, Chinedu, Murad Moosa Khan, Thomas Thesen, et al.. (2023). Who should pay the bill for the mental health crisis in Africa?. Public Health in Practice. 7. 100458–100458. 3 indexed citations

Waechter, Randall, et al.. (2022). Improving neurodevelopment in Zika-exposed children: A randomized controlled trial. PLoS neglected tropical diseases. 16(3). e0010263–e0010263. 4 indexed citations

Blackmon, Karen, Michelle Fernandes, C. N. L. Macpherson, et al.. (2021). Neurodevelopment in normocephalic children with and without prenatal Zika virus exposure. Archives of Disease in Childhood. 107(3). 244–250. 18 indexed citations

Blackmon, Karen, Randall Waechter, C. N. L. Macpherson, et al.. (2020). Epilepsy surveillance in normocephalic children with and without prenatal Zika virus exposure. PLoS neglected tropical diseases. 14(11). e0008874–e0008874. 8 indexed citations

Ardekani, Babak A., Christina Pressl, Karen Blackmon, et al.. (2019). Hippocampal volumetric integrity in mesial temporal lobe epilepsy: A fast novel method for analysis of structural MRI. Epilepsy Research. 154. 157–162. 5 indexed citations

10.

Blackmon, Karen, William Barr, Chris Morrison, et al.. (2019). Cortical gray–white matter blurring and declarative memory impairment in MRI-negative temporal lobe epilepsy. Epilepsy & Behavior. 97. 34–43. 5 indexed citations

11.

Wills, Julian, Oriel FeldmanHall, Michael R. Meager, et al.. (2018). Dissociable contributions of the prefrontal cortex in group-based cooperation. Social Cognitive and Affective Neuroscience. 13(4). 349–356. 16 indexed citations

12.

Heusser, Andrew C., Arielle Tambini, Chris B. Martin, et al.. (2018). Understanding perirhinal contributions to perception and memory: Evidence through the lens of selective perirhinal damage. Neuropsychologia. 124. 9–18. 14 indexed citations

13.

Green, Sophie M., Karen Blackmon, Thomas Thesen, et al.. (2017). Parieto-frontal gyrification and working memory in healthy adults. Brain Imaging and Behavior. 12(2). 303–308. 18 indexed citations

14.

Reyes, Anny, Thomas Thesen, Ruben Kuzniecky, et al.. (2017). Amygdala enlargement: Temporal lobe epilepsy subtype or nonspecific finding?. Epilepsy Research. 132. 34–40. 24 indexed citations

15.

Thesen, Thomas, et al.. (2016). Decrypting cryptogenic epilepsy: semi-supervised hierarchical conditional random fields for detecting cortical lesions in MRI-negative patients. Journal of Machine Learning Research. 17(1). 3885–3914. 7 indexed citations

16.

Blackmon, Karen. (2015). Structural MRI biomarkers of shared pathogenesis in autism spectrum disorder and epilepsy. Epilepsy & Behavior. 47. 172–182. 20 indexed citations

17.

Koyama, Maki, Michael P. Milham, F. Xavier Castellanos, et al.. (2014). Cortical thickness abnormalities associated with dyslexia, independent of remediation status. NeuroImage Clinical. 7. 177–186. 34 indexed citations

18.

Blackmon, Karen, Orrin Devinsky, Chad Carlson, et al.. (2014). Limitations of functional magnetic resonance imaging in mapping function near a vascular lesion: A case study. 3(4). 197–202. 1 indexed citations

19.

Thesen, Thomas, Karen Blackmon, Yijun Zhao, et al.. (2014). Hierarchical Conditional Random Fields for Outlier Detection: An Application to Detecting Epileptogenic Cortical Malformations. International Conference on Machine Learning. 1080–1088. 9 indexed citations

20.

Fleming, Stephen M., Jihye Ryu, John G. Golfinos, & Karen Blackmon. (2014). Domain-specific impairment in metacognitive accuracy following anterior prefrontal lesions. Brain. 137(10). 2811–2822. 222 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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