Aaron D. Boes

4.1k total citations · 1 hit paper
87 papers, 2.3k citations indexed

About

Aaron D. Boes is a scholar working on Cognitive Neuroscience, Neurology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Aaron D. Boes has authored 87 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Cognitive Neuroscience, 26 papers in Neurology and 23 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Aaron D. Boes's work include Functional Brain Connectivity Studies (42 papers), Transcranial Magnetic Stimulation Studies (21 papers) and Advanced Neuroimaging Techniques and Applications (20 papers). Aaron D. Boes is often cited by papers focused on Functional Brain Connectivity Studies (42 papers), Transcranial Magnetic Stimulation Studies (21 papers) and Advanced Neuroimaging Techniques and Applications (20 papers). Aaron D. Boes collaborates with scholars based in United States, Italy and France. Aaron D. Boes's co-authors include Michael Fox, Daniel Tranel, Peg Nopoulos, Álvaro Pascual‐Leone, Joel Bruss, Hesheng Liu, Sashank Prasad, Verne S. Caviness, Qi Liu and Steven W. Anderson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Nature Communications.

In The Last Decade

Aaron D. Boes

76 papers receiving 2.3k citations

Hit Papers

Network localization of neurological symptoms from focal ... 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aaron D. Boes United States 28 1.3k 497 470 392 377 87 2.3k
Joel Bruss United States 29 1.8k 1.3× 664 1.3× 309 0.7× 455 1.2× 350 0.9× 70 2.8k
Inge Leunissen Belgium 25 1.3k 0.9× 530 1.1× 366 0.8× 286 0.7× 510 1.4× 37 2.1k
Massieh Moayedi Canada 26 1.4k 1.0× 377 0.8× 277 0.6× 625 1.6× 295 0.8× 61 3.0k
Yasuhiro Nagahama Japan 28 1.2k 0.9× 450 0.9× 301 0.6× 562 1.4× 662 1.8× 69 2.8k
Armin de Greiff Germany 25 875 0.7× 525 1.1× 180 0.4× 308 0.8× 294 0.8× 51 2.1k
Jennifer Vannest United States 32 2.0k 1.5× 378 0.8× 307 0.7× 899 2.3× 179 0.5× 111 2.9k
Susanne Karch Germany 29 2.0k 1.5× 206 0.4× 397 0.8× 419 1.1× 169 0.4× 102 2.8k
Shalini Narayana United States 25 1.2k 0.9× 480 1.0× 657 1.4× 201 0.5× 232 0.6× 72 2.0k
X. De Boissezon France 22 1.5k 1.1× 433 0.9× 308 0.7× 323 0.8× 487 1.3× 70 2.5k
Eric A. Moulton United States 29 1.5k 1.1× 399 0.8× 761 1.6× 1.1k 2.8× 298 0.8× 59 3.8k

Countries citing papers authored by Aaron D. Boes

Since Specialization
Citations

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

Fields of papers citing papers by Aaron D. Boes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aaron D. Boes

This figure shows the co-authorship network connecting the top 25 collaborators of Aaron D. Boes. A scholar is included among the top collaborators of Aaron D. Boes 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 Aaron D. Boes. Aaron D. Boes 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.
Bruss, Joel, Isabelle Faillenot, Daniel Ciampi de Andrade, et al.. (2025). Neuroanatomy and lesion networks of central poststroke pain. Pain. 166(9). e303–e313.
2.
Hassan, Umair ul, Joel I. Berger, Aaron D. Boes, et al.. (2025). Transcranial magnetic stimulation with intracranial recording in humans and primates: a review. Brain. 1 indexed citations
3.
Gelineau‐Morel, Rose, Nomazulu Dlamini, Joel Bruss, et al.. (2025). Network Localization of Pediatric Lesion‐Induced Dystonia. Annals of Neurology. 98(1). 152–162. 2 indexed citations
4.
Bruss, Joel, et al.. (2024). Neuroanatomy of cerebellar mutism syndrome: the role of lesion location. Brain Communications. 6(4). fcae197–fcae197.
6.
Tranel, Daniel, Aaron D. Boes, Frédéric Schaper, et al.. (2024). A neural network for religious fundamentalism derived from patients with brain lesions. Proceedings of the National Academy of Sciences. 121(36). e2322399121–e2322399121. 1 indexed citations
7.
Wang, Jeffrey B., Joel Bruss, Hiroyuki Oya, et al.. (2024). Effects of transcranial magnetic stimulation on the human brain recorded with intracranial electrocorticography. Molecular Psychiatry. 29(5). 1228–1240. 22 indexed citations
8.
Eyck, Patrick Ten, et al.. (2023). Beam F3 and 5.5 cm targeting show similar efficacy in rTMS treatment of depression: a randomized trial. Brain stimulation. 16(4). 3–3.
9.
10.
Bruss, Joel, et al.. (2023). Localization of a Medial Temporal Lobe—Precuneus Network for Time Orientation. Annals of Neurology. 94(3). 421–433. 3 indexed citations
11.
Singh, Sachinkumar B., et al.. (2023). 95 The Role of Gender in Cognitive Outcomes from Stroke. Journal of the International Neuropsychological Society. 29(s1). 195–195. 1 indexed citations
12.
Trapp, Nicholas T., et al.. (2023). A randomized trial comparing beam F3 and 5.5 cm targeting in rTMS treatment of depression demonstrates similar effectiveness. Brain stimulation. 16(5). 1392–1400. 22 indexed citations
13.
Trapp, Nicholas T., Linder Wendt, Norman Miller, et al.. (2023). Supra-second interval timing in bipolar disorder: examining the role of disorder sub-type, mood, and medication status. International Journal of Bipolar Disorders. 11(1). 32–32.
14.
Bruss, Joel, Hugues Duffau, Guillaume Herbet, et al.. (2022). Central precuneus lesions are associated with impaired executive function. Brain Structure and Function. 227(9). 3099–3108. 26 indexed citations
15.
Reber, Justin, Kai Hwang, Joel Bruss, et al.. (2021). Cognitive impairment after focal brain lesions is better predicted by damage to structural than functional network hubs. Proceedings of the National Academy of Sciences. 118(19). 43 indexed citations
16.
Edwards, Dylan J., Aaron D. Boes, Douglas Labar, et al.. (2020). Machine Learning Methods Predict Individual Upper-Limb Motor Impairment Following Therapy in Chronic Stroke. Neurorehabilitation and neural repair. 34(5). 428–439. 50 indexed citations
17.
Oya, Hiroyuki, et al.. (2020). Measurement and Modeling of the Effects of Transcranial Magnetic Stimulation on the Brain. IEEE Transactions on Magnetics. 57(2). 1–5. 7 indexed citations
18.
Sutterer, Matthew J., Joel Bruss, Aaron D. Boes, et al.. (2016). Canceled connections: Lesion-derived network mapping helps explain differences in performance on a complex decision-making task. Cortex. 78. 31–43. 31 indexed citations
19.
Boes, Aaron D., Sashank Prasad, Hesheng Liu, et al.. (2015). Network localization of neurological symptoms from focal brain lesions. Brain. 138(10). 3061–3075. 344 indexed citations breakdown →
20.
Boes, Aaron D., Sashank Prasad, Verne S. Caviness, & Michael Fox. (2013). The Neuroanatomy of Peduncular Hallucinosis: A Case Series and Lesion Overlap Analysis (S18.004). Neurology. 80(7_supplement). 2 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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