Gleb Bezgin

7.0k total citations · 1 hit paper
52 papers, 2.4k citations indexed

About

Gleb Bezgin is a scholar working on Cognitive Neuroscience, Physiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Gleb Bezgin has authored 52 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Cognitive Neuroscience, 21 papers in Physiology and 18 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Gleb Bezgin's work include Functional Brain Connectivity Studies (27 papers), Neural dynamics and brain function (21 papers) and Alzheimer's disease research and treatments (21 papers). Gleb Bezgin is often cited by papers focused on Functional Brain Connectivity Studies (27 papers), Neural dynamics and brain function (21 papers) and Alzheimer's disease research and treatments (21 papers). Gleb Bezgin collaborates with scholars based in Canada, United States and Germany. Gleb Bezgin's co-authors include Alexandros Goulas, Simon B. Eickhoff, Daniel S. Margulies, Georg Langs, Julia M. Huntenburg, Elizabeth Jefferies, F. Xavier Castellanos, Jonathan Smallwood, Marcel Falkiewicz and Michael Petrides and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Gleb Bezgin

49 papers receiving 2.4k citations

Hit Papers

Situating the default-mode network along a principal grad... 2016 2026 2019 2022 2016 400 800 1.2k

Peers

Gleb Bezgin
Gleb Bezgin
Citations per year, relative to Gleb Bezgin Gleb Bezgin (= 1×) peers Lester Melie‐García

Countries citing papers authored by Gleb Bezgin

Since Specialization
Citations

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

Fields of papers citing papers by Gleb Bezgin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gleb Bezgin

This figure shows the co-authorship network connecting the top 25 collaborators of Gleb Bezgin. A scholar is included among the top collaborators of Gleb Bezgin 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 Gleb Bezgin. Gleb Bezgin 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.
Aumont, Étienne, Brandon J. Hall, Gleb Bezgin, et al.. (2025). Optimized atlas for early tau-PET staging via native space segmentations. Neurobiology of Aging. 158. 1–10.
2.
Trambaiolli, Lucas R., Chiara Maffei, Claudinei Eduardo Biazoli, et al.. (2024). Translation of monosynaptic circuits underlying amygdala fMRI neurofeedback training. Neuropsychopharmacology. 49(12). 1839–1850. 3 indexed citations
3.
Ottoy, Julie, Min Su Kang, Reinder Vos de Wael, et al.. (2023). Mapping the effects of functional and structural network reorganization on the tau‐cognition relationship in Alzheimer’s disease. Alzheimer s & Dementia. 19(S14).
4.
Bezgin, Gleb, Tharick A. Pascoal, Jenna Stevenson, et al.. (2023). Bayesian workflow for the investigation of hierarchical classification models from tau-PET and structural MRI data across the Alzheimer’s disease spectrum. Frontiers in Aging Neuroscience. 15. 1225816–1225816. 1 indexed citations
5.
Lantero‐Rodriguez, Juan, Cécile Tissot, Anniina Snellman, et al.. (2023). Plasma and CSF concentrations of N‐terminal tau fragments associate with in vivo neurofibrillary tangle burden. Alzheimer s & Dementia. 19(12). 5343–5354. 11 indexed citations
6.
Qureshi, Muhammad Naveed Iqbal, David P. Laplante, Guillaume Elgbeili, et al.. (2023). Atypical brain structure and function in young adults exposed to disaster‐related prenatal maternal stress: Project Ice Storm. Journal of Neuroscience Research. 101(12). 1849–1863. 3 indexed citations
7.
Therriault, Joseph, Firoza Z Lussier, Cécile Tissot, et al.. (2023). Amyloid beta plaque accumulation with longitudinal [18F]AZD4694 PET. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 15(3). e12391–e12391. 2 indexed citations
8.
Terada, Tatsuhiro, Joseph Therriault, Min Su Kang, et al.. (2022). Mitochondrial complex I abnormalities underlie neurodegeneration and cognitive decline in Alzheimer’s disease. European Journal of Neurology. 29(5). 1324–1334. 18 indexed citations
9.
Therriault, Joseph, Andréa Lessa Benedet, Tharick A. Pascoal, et al.. (2021). Association of plasma P-tau181 with memory decline in non-demented adults. Brain Communications. 3(3). fcab136–fcab136. 27 indexed citations
10.
Ryan, Jennifer D., et al.. (2020). Modeling the influence of the hippocampal memory system on the oculomotor system. Network Neuroscience. 4(1). 217–233. 11 indexed citations
11.
Goulas, Alexandros, Daniel S. Margulies, Gleb Bezgin, & Claus C. Hilgetag. (2019). The architecture of mammalian cortical connectomes in light of the theory of the dual origin of the cerebral cortex. Cortex. 118. 244–261. 29 indexed citations
12.
Shen, Kelly, Gleb Bezgin, Michael Schirner, et al.. (2019). A macaque connectome for large-scale network simulations in TheVirtualBrain. Scientific Data. 6(1). 123–123. 45 indexed citations
13.
Moirano, Jeffrey M., et al.. (2018). Rhesus Macaque Brain Atlas Regions Aligned to an MRI Template. Neuroinformatics. 17(2). 295–306. 13 indexed citations
14.
Schmidt, Maximilian, Rembrandt Bakker, Kelly Shen, et al.. (2018). A multi-scale layer-resolved spiking network model of resting-state dynamics in macaque visual cortical areas. PLoS Computational Biology. 14(10). e1006359–e1006359. 73 indexed citations
15.
Xiao, Min, Haitao Ge, Budhachandra Khundrakpam, et al.. (2016). Attention Performance Measured by Attention Network Test Is Correlated with Global and Regional Efficiency of Structural Brain Networks. Frontiers in Behavioral Neuroscience. 10. 194–194. 32 indexed citations
16.
Shen, Kelly, R. Matthew Hutchison, Gleb Bezgin, Stefan Everling, & Anthony R. McIntosh. (2015). Network Structure Shapes Spontaneous Functional Connectivity Dynamics. Journal of Neuroscience. 35(14). 5579–5588. 133 indexed citations
17.
Shen, Kelly, Bratislav Mišić, Gleb Bezgin, et al.. (2015). Stable long-range interhemispheric coordination is supported by direct anatomical projections. Proceedings of the National Academy of Sciences. 112(20). 6473–6478. 94 indexed citations
18.
Goulas, Alexandros, Matteo Bastiani, Gleb Bezgin, et al.. (2014). Comparative Analysis of the Macroscale Structural Connectivity in the Macaque and Human Brain. PLoS Computational Biology. 10(3). e1003529–e1003529. 63 indexed citations
19.
Vakorin, Vasily A., Bratislav Mišić, Olga Krakovska, Gleb Bezgin, & Anthony R. McIntosh. (2013). Confounding Effects of Phase Delays on Causality Estimation. PLoS ONE. 8(1). e53588–e53588. 14 indexed citations
20.
Shen, Kelly, Gleb Bezgin, R. Matthew Hutchison, et al.. (2012). Information Processing Architecture of Functionally Defined Clusters in the Macaque Cortex. Journal of Neuroscience. 32(48). 17465–17476. 91 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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