Taylor Kuhn

1.7k total citations
60 papers, 775 citations indexed

About

Taylor Kuhn is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Neurology. According to data from OpenAlex, Taylor Kuhn has authored 60 papers receiving a total of 775 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Cognitive Neuroscience and 12 papers in Neurology. Recurrent topics in Taylor Kuhn's work include Ultrasound and Hyperthermia Applications (11 papers), Functional Brain Connectivity Studies (11 papers) and Advanced Neuroimaging Techniques and Applications (10 papers). Taylor Kuhn is often cited by papers focused on Ultrasound and Hyperthermia Applications (11 papers), Functional Brain Connectivity Studies (11 papers) and Advanced Neuroimaging Techniques and Applications (10 papers). Taylor Kuhn collaborates with scholars based in United States, Norway and Germany. Taylor Kuhn's co-authors include Jacob D. Jones, April D. Thames, Zanjbeel Mahmood, Elyse J. Singer, Sergio Becerra, Charles H. Hinkin, Timothy J. Williamson, Alexander Bystritsky, Sarah M. Szymkowicz and Susan Y. Bookheimer and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of neurosurgery.

In The Last Decade

Taylor Kuhn

54 papers receiving 761 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Taylor Kuhn United States 19 203 166 162 152 137 60 775
Stéfan du Plessis South Africa 20 177 0.9× 57 0.3× 377 2.3× 173 1.1× 249 1.8× 44 1.1k
Yih Yian Sitoh Singapore 20 272 1.3× 40 0.2× 286 1.8× 15 0.1× 281 2.1× 56 1.4k
Vaughn E. Bryant United States 12 32 0.2× 11 0.1× 126 0.8× 100 0.7× 77 0.6× 27 553
M. P. McDermott United States 15 12 0.1× 54 0.3× 227 1.4× 147 1.0× 214 1.6× 15 1.0k
Anne Roc United States 8 426 2.1× 8 0.0× 318 2.0× 115 0.8× 48 0.4× 11 738
Weiwei Chu United States 8 159 0.8× 6 0.0× 264 1.6× 91 0.6× 104 0.8× 10 608
Jean‐Paul Fouché South Africa 26 439 2.2× 6 0.0× 665 4.1× 317 2.1× 199 1.5× 60 1.7k
Lysa Boissé Lomax Canada 13 11 0.1× 35 0.2× 96 0.6× 100 0.7× 91 0.7× 29 813
Talia R. Seider United States 9 58 0.3× 9 0.1× 140 0.9× 174 1.1× 65 0.5× 11 524
David Bradbury United Kingdom 10 69 0.3× 44 0.3× 347 2.1× 11 0.1× 113 0.8× 16 770

Countries citing papers authored by Taylor Kuhn

Since Specialization
Citations

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

Fields of papers citing papers by Taylor Kuhn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taylor Kuhn

This figure shows the co-authorship network connecting the top 25 collaborators of Taylor Kuhn. A scholar is included among the top collaborators of Taylor Kuhn 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 Taylor Kuhn. Taylor Kuhn 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.
Spivak, Norman M., Martin M. Monti, Mark E. Schafer, et al.. (2025). Evaluating Transcranial Focused Ultrasound Stimulation (tFUS) for Targeted Neuromodulation in Generalized Anxiety Disorder: A Double-Blind Feasibility Study. Brain stimulation. 18(1). 415–416.
2.
Krause, Beatrix, Sergio Becerra, Prabha Siddarth, et al.. (2025). Your brain on art, nature, and meditation: a pilot neuroimaging study. Frontiers in Human Neuroscience. 18. 1440177–1440177.
3.
Spivak, Norman M., Alexander S. Korb, Mark E. Schafer, et al.. (2024). Preliminary Examination of the Effects of Focused Ultrasound on Living Skin and Temperature at the Skin–Transducer Interface. Bioengineering. 11(11). 1126–1126. 1 indexed citations
4.
Avecillas-Chasín, Josué M., S. Rock Levinson, Taylor Kuhn, et al.. (2023). Connectivity-based parcellation of the amygdala and identification of its main white matter connections. Scientific Reports. 13(1). 1305–1305. 7 indexed citations
5.
Jordan, Kenneth G., et al.. (2023). Transcranial focused ultrasound for the treatment of tremor: A preliminary case series. Brain stimulation. 17(1). 35–38. 12 indexed citations
6.
Kuhn, Taylor, Norman M. Spivak, Sergio Becerra, et al.. (2023). Transcranial focused ultrasound selectively increases perfusion and modulates functional connectivity of deep brain regions in humans. Frontiers in Neural Circuits. 17. 1120410–1120410. 25 indexed citations
7.
8.
Levinson, S. Rock, Michelle Miller, Josué M. Avecillas-Chasín, et al.. (2023). A structural connectivity atlas of limbic brainstem nuclei. SHILAP Revista de lepidopterología. 1. 1009399–1009399. 10 indexed citations
9.
Reading, Christopher L., Juozas Gordevičius, Clarence Ahlem, et al.. (2023). Treatment‐Induced Epigenetic Modifications in MCI and Probable Alzheimer’s Disease. Alzheimer s & Dementia. 19(S12). 1 indexed citations
10.
Becerra, Sergio, et al.. (2023). Functional MRI Lateralization [M1] of dlPFC and Implications for Transcranial Magnetic Stimulation (TMS) Targeting. Diagnostics. 13(16). 2690–2690. 3 indexed citations
11.
Jordan, Sheldon E., et al.. (2023). A pilot study of low-intensity focused ultrasound for treatment-resistant generalized anxiety disorder. Journal of Psychiatric Research. 168. 125–132. 22 indexed citations
12.
Stern, John M., Norman M. Spivak, Sergio Becerra, et al.. (2021). Safety of focused ultrasound neuromodulation in humans with temporal lobe epilepsy. Brain stimulation. 14(4). 1022–1031. 63 indexed citations
13.
Bystritsky, Alexander, Norman M. Spivak, Sergio Becerra, et al.. (2021). Brain circuitry underlying the ABC model of anxiety. Journal of Psychiatric Research. 138. 3–14. 9 indexed citations
14.
Becerra, Sergio, Taylor Kuhn, John S. Duncan, et al.. (2019). Expression of Concern: Focused transcranial ultrasound for treatment of neurodegenerative dementia. Alzheimer s & Dementia Translational Research & Clinical Interventions. 5(1). 374–381. 63 indexed citations
15.
Jones, Jacob D., et al.. (2019). Depressive symptoms precede cognitive impairment in de novo Parkinson’s disease patients: Analysis of the PPMI cohort.. Neuropsychology. 33(8). 1111–1120. 27 indexed citations
16.
Kuhn, Taylor, Tobias Kaufmann, Nhat Trung Doan, et al.. (2018). An augmented aging process in brain white matter in HIV. Human Brain Mapping. 39(6). 2532–2540. 29 indexed citations
17.
Jones, Jacob D., Taylor Kuhn, & Sarah M. Szymkowicz. (2017). Reverters from PD-MCI to cognitively intact are at risk for future cognitive impairment: Analysis of the PPMI cohort. Parkinsonism & Related Disorders. 47. 3–7. 30 indexed citations
18.
Thames, April D., Taylor Kuhn, Zanjbeel Mahmood, et al.. (2017). Effects of social adversity and HIV on subcortical shape and neurocognitive function. Brain Imaging and Behavior. 12(1). 96–108. 31 indexed citations
19.
20.
Thames, April D., et al.. (2015). Combined effects of HIV and marijuana use on neurocognitive functioning and immune status. AIDS Care. 28(5). 628–632. 55 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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