Preya Shah

624 total citations
16 papers, 379 citations indexed

About

Preya Shah is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health. According to data from OpenAlex, Preya Shah has authored 16 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 7 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Psychiatry and Mental health. Recurrent topics in Preya Shah's work include Functional Brain Connectivity Studies (8 papers), Neural dynamics and brain function (5 papers) and EEG and Brain-Computer Interfaces (4 papers). Preya Shah is often cited by papers focused on Functional Brain Connectivity Studies (8 papers), Neural dynamics and brain function (5 papers) and EEG and Brain-Computer Interfaces (4 papers). Preya Shah collaborates with scholars based in United States, Netherlands and Switzerland. Preya Shah's co-authors include Kathryn A. Davis, Danielle S. Bassett, Brian Litt, Joel M. Stein, Russell T. Shinohara, Sandhitsu R. Das, Lohith G. Kini, Kelly Oechsel, Timothy H. Lucas and John M. Bernabei and has published in prestigious journals such as Brain, Neuropsychologia and Human Brain Mapping.

In The Last Decade

Preya Shah

16 papers receiving 379 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Preya Shah United States 9 287 146 108 65 15 16 379
Alexander J. Lowe United Kingdom 9 237 0.8× 79 0.5× 142 1.3× 73 1.1× 12 0.8× 10 399
Mojdeh Zamyadi Canada 12 247 0.9× 79 0.5× 154 1.4× 26 0.4× 21 1.4× 26 413
Stefani O’Donoghue Ireland 9 161 0.6× 135 0.9× 111 1.0× 16 0.2× 11 0.7× 14 309
Alicia C. Williams United States 8 245 0.9× 176 1.2× 95 0.9× 63 1.0× 5 0.3× 8 378
Benedictor Alexander Nguchu China 11 169 0.6× 37 0.3× 111 1.0× 45 0.7× 20 1.3× 27 319
Gerhard S. Drenthen Netherlands 11 155 0.5× 79 0.5× 149 1.4× 107 1.6× 9 0.6× 37 369
Katsuaki Kojima United States 11 349 1.2× 99 0.7× 27 0.3× 46 0.7× 10 0.7× 24 402
Fatemeh Fadaie Canada 10 225 0.8× 172 1.2× 134 1.2× 75 1.2× 3 0.2× 15 332
Hui Mao United States 8 238 0.8× 94 0.6× 127 1.2× 27 0.4× 5 0.3× 17 367
Cong Chen China 10 106 0.4× 176 1.2× 40 0.4× 83 1.3× 8 0.5× 41 271

Countries citing papers authored by Preya Shah

Since Specialization
Citations

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

Fields of papers citing papers by Preya Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Preya Shah

This figure shows the co-authorship network connecting the top 25 collaborators of Preya Shah. A scholar is included among the top collaborators of Preya Shah 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 Preya Shah. Preya Shah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Shah, Preya, et al.. (2025). RadGPT: A System Based on a Large Language Model That Generates Sets of Patient-Centered Materials to Explain Radiology Report Information. Journal of the American College of Radiology. 22(9). 1050–1059. 2 indexed citations
2.
Liu, Yongkai, Preya Shah, Yannan Yu, et al.. (2024). A Clinical and Imaging Fused Deep Learning Model Matches Expert Clinician Prediction of 90-Day Stroke Outcomes. American Journal of Neuroradiology. 45(4). 406–411. 4 indexed citations
3.
Bernabei, John M., Thomas Arnold, Preya Shah, et al.. (2021). Electrocorticography and stereo EEG provide distinct measures of brain connectivity: implications for network models. Brain Communications. 3(3). fcab156–fcab156. 25 indexed citations
4.
Ashourvan, Arian, Preya Shah, Adam Pines, et al.. (2021). Pairwise maximum entropy model explains the role of white matter structure in shaping emergent co-activation states. Communications Biology. 4(1). 210–210. 14 indexed citations
5.
Hadar, Peter, Lohith G. Kini, Ravi Prakash Reddy Nanga, et al.. (2021). Volumetric glutamate imaging (GluCEST) using 7T MRI can lateralize nonlesional temporal lobe epilepsy: A preliminary study. Brain and Behavior. 11(8). e02134–e02134. 8 indexed citations
6.
Roberson, Shawniqua Williams, Preya Shah, Vitória Piai, et al.. (2020). Electrocorticography reveals spatiotemporal neuronal activation patterns of verbal fluency in patients with epilepsy. Neuropsychologia. 141. 107386–107386. 8 indexed citations
7.
Conrad, Erin C., John M. Bernabei, Lohith G. Kini, et al.. (2020). The sensitivity of network statistics to incomplete electrode sampling on intracranial EEG. Network Neuroscience. 4(2). 484–506. 18 indexed citations
8.
Shah, Preya, Samantha P. Zuckerman, Austin R. Pantel, et al.. (2019). First-Year Radiology Residents Teaching Anatomy to First-Year Medical Students: A Symbiotic Relationship. Current Problems in Diagnostic Radiology. 49(3). 157–160. 5 indexed citations
9.
Shah, Preya, et al.. (2019). Patient-Centered and Specialty-Specific Case Work-Up: An Effective Method for Teaching Appropriateness of Imaging to Medical Students. Academic Radiology. 26(6). 846–850. 8 indexed citations
10.
Shah, Preya, Arian Ashourvan, Fadi Mikhail, et al.. (2019). Characterizing the role of the structural connectome in seizure dynamics. Brain. 142(7). 1955–1972. 58 indexed citations
11.
Shah, Preya, John M. Bernabei, Lohith G. Kini, et al.. (2019). High interictal connectivity within the resection zone is associated with favorable post-surgical outcomes in focal epilepsy patients. NeuroImage Clinical. 23. 101908–101908. 46 indexed citations
12.
Shah, Preya, Danielle S. Bassett, Laura E.M. Wisse, et al.. (2019). Structural and functional asymmetry of medial temporal subregions in unilateral temporal lobe epilepsy: A 7T MRI study. Human Brain Mapping. 40(8). 2390–2398. 34 indexed citations
13.
Kini, Lohith G., John M. Bernabei, Fadi Mikhail, et al.. (2019). Virtual resection predicts surgical outcome for drug-resistant epilepsy. Brain. 142(12). 3892–3905. 86 indexed citations
14.
Shah, Preya, David A. Mankoff, Scott O. Trerotola, et al.. (2018). Impact of Early Radiology Research Experiences on Medical Student Perceptions of Radiology and Research. Current Problems in Diagnostic Radiology. 48(5). 423–426. 9 indexed citations
15.
Shah, Preya, Danielle S. Bassett, Laura E.M. Wisse, et al.. (2017). Mapping the structural and functional network architecture of the medial temporal lobe using 7T MRI. Human Brain Mapping. 39(2). 851–865. 46 indexed citations
16.
Sadigh, Sam, Preya Shah, Kristy Weber, Ronnie Sebro, & Paul J. Zhang. (2017). Primary malignant perivascular epithelioid cell neoplasm (PEComa) of the bone mimicking granular cell tumor in core biopsy: A case report and literature review. Oncology Letters. 15(3). 2946–2952. 8 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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2026