Gabriel A. Devenyi

5.9k total citations
86 papers, 2.0k citations indexed

About

Gabriel A. Devenyi is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health. According to data from OpenAlex, Gabriel A. Devenyi has authored 86 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Cognitive Neuroscience, 32 papers in Radiology, Nuclear Medicine and Imaging and 19 papers in Psychiatry and Mental health. Recurrent topics in Gabriel A. Devenyi's work include Functional Brain Connectivity Studies (31 papers), Advanced Neuroimaging Techniques and Applications (27 papers) and Advanced MRI Techniques and Applications (14 papers). Gabriel A. Devenyi is often cited by papers focused on Functional Brain Connectivity Studies (31 papers), Advanced Neuroimaging Techniques and Applications (27 papers) and Advanced MRI Techniques and Applications (14 papers). Gabriel A. Devenyi collaborates with scholars based in Canada, United States and United Kingdom. Gabriel A. Devenyi's co-authors include M. Mallar Chakravarty, Jamie Near, Peter Jezzard, Jürgen Germann, Raihaan Patel, J. S. Prestón, Elisa Guma, Daniel Gallino, Nikhil Bhagwat and Martín Lepage and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Gabriel A. Devenyi

79 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gabriel A. Devenyi Canada 26 714 674 314 304 273 86 2.0k
Yoshiyuki Watanabe Japan 30 503 0.7× 1.1k 1.7× 357 1.1× 282 0.9× 512 1.9× 179 2.9k
Zang‐Hee Cho South Korea 32 861 1.2× 1.4k 2.1× 512 1.6× 245 0.8× 644 2.4× 120 3.1k
Kenji Ishibashi Japan 23 288 0.4× 276 0.4× 388 1.2× 186 0.6× 322 1.2× 217 2.0k
Mohamed Ali Bahri Belgium 35 1.6k 2.2× 533 0.8× 428 1.4× 645 2.1× 489 1.8× 119 3.5k
Anna Barnes United Kingdom 33 1.4k 2.0× 1.1k 1.7× 678 2.2× 425 1.4× 756 2.8× 90 3.8k
Rachel A. Yotter United States 15 749 1.0× 496 0.7× 100 0.3× 357 1.2× 128 0.5× 19 1.6k
Tony Stöcker Germany 33 1.3k 1.9× 1.2k 1.8× 316 1.0× 570 1.9× 168 0.6× 117 3.3k
Robert Trampel Germany 34 1.5k 2.0× 1.5k 2.3× 279 0.9× 145 0.5× 184 0.7× 99 3.1k
Graham C. Wiggins United States 32 987 1.4× 2.7k 4.0× 198 0.6× 370 1.2× 142 0.5× 74 3.6k
Young-Bo Kim South Korea 27 556 0.8× 829 1.2× 348 1.1× 211 0.7× 452 1.7× 92 2.0k

Countries citing papers authored by Gabriel A. Devenyi

Since Specialization
Citations

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

Fields of papers citing papers by Gabriel A. Devenyi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gabriel A. Devenyi. 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 Gabriel A. Devenyi. The network helps show where Gabriel A. Devenyi may publish in the future.

Co-authorship network of co-authors of Gabriel A. Devenyi

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriel A. Devenyi. A scholar is included among the top collaborators of Gabriel A. Devenyi 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 Gabriel A. Devenyi. Gabriel A. Devenyi 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.
Patel, Raihaan, Alyssa Salaciak, Saashi A. Bedford, et al.. (2025). Exploring morphological and microstructural signatures across the Alzheimer's spectrum and risk factors. Neurobiology of Aging. 149. 1–18.
2.
Tullo, Stéphanie, Daniel Gallino, Raihaan Patel, et al.. (2025). Female mice exhibit resistance to disease progression despite early pathology in a transgenic mouse model inoculated with alpha-synuclein fibrils. Communications Biology. 8(1). 288–288.
3.
4.
Guimond, Synthia, Gabriel A. Devenyi, M. Mallar Chakravarty, et al.. (2024). Enlarged pituitary gland volume: a possible state rather than trait marker of psychotic disorders. Psychological Medicine. 54(8). 1835–1843.
5.
Chaumette, Boris, Gabriel A. Devenyi, Sherif Karama, et al.. (2024). Maternal smoking during pregnancy and cortical structure in children with attention-deficit/hyperactivity disorder. Psychiatry Research. 334. 115791–115791. 1 indexed citations
6.
Vliet, Rick van der, Opher Donchin, Pierre Berthet, et al.. (2024). Population-wide cerebellar growth models of children and adolescents. Nature Communications. 15(1). 2351–2351. 14 indexed citations
7.
Devenyi, Gabriel A., et al.. (2024). A standardized image processing and data quality platform for rodent fMRI. Nature Communications. 15(1). 6708–6708. 10 indexed citations
8.
Skorska, Malvina N., Gabriel A. Devenyi, Kenneth J. Zucker, et al.. (2023). Cortical Structure Differences in Relation to Age, Sexual Attractions, and Gender Dysphoria in Adolescents: An Examination of Mean Diffusivity and T1 Relaxation Time. Brain Sciences. 13(6). 963–963. 2 indexed citations
9.
10.
Tullo, Stéphanie, Nadia Blostein, Alyssa Salaciak, et al.. (2023). High spatial overlap but diverging age‐related trajectories of cortical magnetic resonance imaging markers aiming to represent intracortical myelin and microstructure. Human Brain Mapping. 44(8). 3023–3044. 10 indexed citations
11.
Guma, Elisa, et al.. (2023). Examining litter specific variability in mice and its impact on neurodevelopmental studies. NeuroImage. 269. 119888–119888. 8 indexed citations
12.
Ravanfar, Parsa, Warda Syeda, R. Jarrett Rushmore, et al.. (2023). Investigation of Brain Iron in Niemann-Pick Type C: A 7T Quantitative Susceptibility Mapping Study. American Journal of Neuroradiology. 44(7). 768–775. 3 indexed citations
13.
Guma, Elisa, Maude Bordeleau, Fernando Gonzàlez Ibáñez, et al.. (2022). Differential effects of early or late exposure to prenatal maternal immune activation on mouse embryonic neurodevelopment. Proceedings of the National Academy of Sciences. 119(12). e2114545119–e2114545119. 28 indexed citations
14.
Bhagwat, Nikhil, Erin W. Dickie, Shawn T. Brown, et al.. (2021). Understanding the impact of preprocessing pipelines on neuroimaging cortical surface analyses. GigaScience. 10(1). 34 indexed citations
15.
Guma, Elisa, Emily Snook, Shoshana Spring, et al.. (2021). Subtle alterations in neonatal neurodevelopment following early or late exposure to prenatal maternal immune activation in mice. NeuroImage Clinical. 32. 102868–102868. 13 indexed citations
16.
Gouveia, Flavia Venetucci, Jürgen Germann, Erich Talamoni Fonoff, et al.. (2020). Longitudinal Changes After Amygdala Surgery for Intractable Aggressive Behavior: Clinical, Imaging Genetics, and Deformation-Based Morphometry Study—A Case Series. Neurosurgery. 88(2). E158–E169. 14 indexed citations
17.
Kirschner, Matthias, Golia Shafiei, Ross D. Markello, et al.. (2020). Latent Clinical-Anatomical Dimensions of Schizophrenia. Schizophrenia Bulletin. 46(6). 1426–1438. 21 indexed citations
18.
Gouveia, Flavia Venetucci, Jürgen Germann, Gabriel A. Devenyi, et al.. (2020). Refractoriness of aggressive behaviour to pharmacological treatment: cortical thickness analysis in autism spectrum disorder. BJPsych Open. 6(5). e85–e85. 10 indexed citations
19.
Madularu, Dan, et al.. (2020). Longitudinal quantification of metabolites and macromolecules reveals age- and sex-related changes in the healthy Fischer 344 rat brain. Neurobiology of Aging. 101. 109–122. 8 indexed citations
20.
Winterburn, Julie L., Aristotle N. Voineskos, Gabriel A. Devenyi, et al.. (2017). Can we accurately classify schizophrenia patients from healthy controls using magnetic resonance imaging and machine learning? A multi-method and multi-dataset study. Schizophrenia Research. 214. 3–10. 58 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Yoshiyuki Watanabe Breakdown of academic impact, for papers by Zang‐Hee Cho Breakdown of academic impact, for papers by Kenji Ishibashi Breakdown of academic impact, for papers by Mohamed Ali Bahri Breakdown of academic impact, for papers by Anna Barnes Breakdown of academic impact, for papers by Rachel A. Yotter Breakdown of academic impact, for papers by Tony Stöcker Breakdown of academic impact, for papers by Robert Trampel Breakdown of academic impact, for papers by Graham C. Wiggins Breakdown of academic impact, for papers by Young-Bo Kim
Rankless by CCL
2026