Iman Beheshti

2.6k total citations · 1 hit paper
63 papers, 1.7k citations indexed

About

Iman Beheshti is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Iman Beheshti has authored 63 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Cognitive Neuroscience, 30 papers in Psychiatry and Mental health and 19 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Iman Beheshti's work include Functional Brain Connectivity Studies (28 papers), Dementia and Cognitive Impairment Research (20 papers) and Advanced Neuroimaging Techniques and Applications (17 papers). Iman Beheshti is often cited by papers focused on Functional Brain Connectivity Studies (28 papers), Dementia and Cognitive Impairment Research (20 papers) and Advanced Neuroimaging Techniques and Applications (17 papers). Iman Beheshti collaborates with scholars based in Canada, Japan and Cyprus. Iman Beheshti's co-authors include Hasan Demirel, Hiroshi Matsuda, Daichi Sone, Farnaz Farokhian, Norihide Maikusa, Olivier Potvin, Simon Duchesne, M. Tanveer, Pritee Khanna and Scott Nugent and has published in prestigious journals such as NeuroImage, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Iman Beheshti

59 papers receiving 1.7k citations

Hit Papers

Deep learning for brain age estimation: A systematic review 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Iman Beheshti Canada 22 635 538 525 400 275 63 1.7k
Mohamad Habes United States 24 587 0.9× 576 1.1× 807 1.5× 521 1.3× 226 0.8× 93 2.5k
Xiaoying Wu China 19 786 1.2× 330 0.6× 738 1.4× 697 1.7× 129 0.5× 91 2.6k
Chong-Yaw Wee United States 24 1.5k 2.3× 362 0.7× 484 0.9× 756 1.9× 289 1.1× 37 2.3k
David Alexander Dickie United Kingdom 23 446 0.7× 478 0.9× 344 0.7× 460 1.1× 70 0.3× 55 1.9k
J‐Sebastian Muehlboeck Sweden 22 623 1.0× 486 0.9× 1.0k 1.9× 378 0.9× 120 0.4× 41 1.8k
Juha Koikkalainen Finland 27 434 0.7× 499 0.9× 1.0k 1.9× 553 1.4× 203 0.7× 80 2.5k
Simon Duchesne Canada 31 947 1.5× 486 0.9× 1.2k 2.3× 960 2.4× 269 1.0× 145 3.1k
María Valdés Hernández United Kingdom 24 279 0.4× 396 0.7× 258 0.5× 503 1.3× 79 0.3× 90 1.6k
Kelvin K. Leung United Kingdom 24 728 1.1× 490 0.9× 922 1.8× 770 1.9× 115 0.4× 45 2.6k
Guillaume Auzias France 16 667 1.1× 307 0.6× 412 0.8× 467 1.2× 173 0.6× 50 1.4k

Countries citing papers authored by Iman Beheshti

Since Specialization
Citations

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

Fields of papers citing papers by Iman Beheshti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iman Beheshti

This figure shows the co-authorship network connecting the top 25 collaborators of Iman Beheshti. A scholar is included among the top collaborators of Iman Beheshti 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 Iman Beheshti. Iman Beheshti 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.
Beheshti, Iman, et al.. (2025). Transforming Prostate Cancer Care: Innovations in Diagnosis, Treatment, and Future Directions. International Journal of Molecular Sciences. 26(11). 5386–5386. 1 indexed citations
2.
Elkana, Odelia & Iman Beheshti. (2025). The protective role of education in white matter lesions and cognitive decline. Brain and Cognition. 187. 106304–106304. 2 indexed citations
3.
Behrooz, Amir Barzegar, Rui Vitorino, Iman Beheshti, et al.. (2025). Hierarchical Machine Learning Uncovers Topological Signatures of Autophagy Regulation by Oral Bacteria in Oral Squamous Cell Carcinoma. bioRxiv (Cold Spring Harbor Laboratory).
4.
Adlimoghaddam, Aida, Zeinab Babaei, Amir Barzegar Behrooz, et al.. (2025). Sex and region-specific disruption of autophagy and mitophagy in Alzheimer’s disease: linking cellular dysfunction to cognitive decline. Cell Death Discovery. 11(1). 204–204. 2 indexed citations
5.
Elkana, Odelia & Iman Beheshti. (2024). Functional brain changes in Mexican women with fibromyalgia. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1871(1). 167564–167564. 2 indexed citations
6.
Beheshti, Iman, et al.. (2024). Neuroanatomical Signature of the Transition from Normal Cognition to MCI in Parkinson's Disease. Aging and Disease. 16(1). 619–619. 1 indexed citations
7.
Sone, Daichi, Iman Beheshti, Yoko Shigemoto, et al.. (2024). White matter brain-age in diverse forms of epilepsy and interictal psychosis. Scientific Reports. 14(1). 19156–19156. 1 indexed citations
8.
Beheshti, Iman & Ji Hyun Ko. (2024). Predicting the occurrence of mild cognitive impairment in Parkinson’s disease using structural MRI data. Frontiers in Neuroscience. 18. 1375395–1375395. 3 indexed citations
9.
Tanveer, M., M. A. Ganaie, Iman Beheshti, et al.. (2023). Deep learning for brain age estimation: A systematic review. Information Fusion. 96. 130–143. 84 indexed citations breakdown →
10.
Beheshti, Iman. (2023). Cocaine Destroys Gray Matter Brain Cells and Accelerates Brain Aging. Biology. 12(5). 752–752. 8 indexed citations
11.
Sone, Daichi & Iman Beheshti. (2022). Neuroimaging-Based Brain Age Estimation: A Promising Personalized Biomarker in Neuropsychiatry. Journal of Personalized Medicine. 12(11). 1850–1850. 20 indexed citations
12.
Sone, Daichi, Iman Beheshti, Shunichiro Shinagawa, et al.. (2022). Neuroimaging-derived brain age is associated with life satisfaction in cognitively unimpaired elderly: A community-based study. Translational Psychiatry. 12(1). 25–25. 16 indexed citations
13.
Beheshti, Iman, Daichi Sone, Norihide Maikusa, et al.. (2021). Accurate lateralization and classification of MRI-negative 18F-FDG-PET-positive temporal lobe epilepsy using double inversion recovery and machine-learning. Computers in Biology and Medicine. 137. 104805–104805. 8 indexed citations
14.
Beheshti, Iman, et al.. (2021). Alzheimer’s Disease-Related Metabolic Pattern in Diverse Forms of Neurodegenerative Diseases. Diagnostics. 11(11). 2023–2023. 15 indexed citations
15.
Beheshti, Iman, Scott Nugent, Olivier Potvin, & Simon Duchesne. (2021). Disappearing metabolic youthfulness in the cognitively impaired female brain. Neurobiology of Aging. 101. 224–229. 25 indexed citations
16.
Ogawa, Masayo, Daichi Sone, Iman Beheshti, et al.. (2019). Association between subfield volumes of the medial temporal lobe and cognitive assessments. Heliyon. 5(6). e01828–e01828. 9 indexed citations
17.
Sone, Daichi, Iman Beheshti, Norihide Maikusa, et al.. (2019). Neuroimaging-based brain-age prediction in diverse forms of epilepsy: a signature of psychosis and beyond. Molecular Psychiatry. 26(3). 825–834. 57 indexed citations
18.
Beheshti, Iman, Scott Nugent, Olivier Potvin, & Simon Duchesne. (2019). Bias-adjustment in neuroimaging-based brain age frameworks: A robust scheme. NeuroImage Clinical. 24. 102063–102063. 123 indexed citations
19.
Beheshti, Iman, Pierre Gravel, Olivier Potvin, Louis Dieumegarde, & Simon Duchesne. (2019). A novel patch-based procedure for estimating brain age across adulthood. NeuroImage. 197. 618–624. 21 indexed citations
20.
Beheshti, Iman, Daichi Sone, Farnaz Farokhian, Norihide Maikusa, & Hiroshi Matsuda. (2018). Gray Matter and White Matter Abnormalities in Temporal Lobe Epilepsy Patients with and without Hippocampal Sclerosis. Frontiers in Neurology. 9. 107–107. 22 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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