Andrew Zalesky

28.5k total citations · 10 hit papers
247 papers, 16.8k citations indexed

About

Andrew Zalesky is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Experimental and Cognitive Psychology. According to data from OpenAlex, Andrew Zalesky has authored 247 papers receiving a total of 16.8k indexed citations (citations by other indexed papers that have themselves been cited), including 168 papers in Cognitive Neuroscience, 94 papers in Radiology, Nuclear Medicine and Imaging and 34 papers in Experimental and Cognitive Psychology. Recurrent topics in Andrew Zalesky's work include Functional Brain Connectivity Studies (161 papers), Advanced Neuroimaging Techniques and Applications (83 papers) and Neural dynamics and brain function (54 papers). Andrew Zalesky is often cited by papers focused on Functional Brain Connectivity Studies (161 papers), Advanced Neuroimaging Techniques and Applications (83 papers) and Neural dynamics and brain function (54 papers). Andrew Zalesky collaborates with scholars based in Australia, United States and United Kingdom. Andrew Zalesky's co-authors include Alex Fornito, Edward T. Bullmore, Michael Breakspear, Luca Cocchi, Christos Pantelis, Ye Tian, Caio Seguin, Murat Yücel, Vanessa Cropley and Leonardo L. Gollo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Nature Communications.

In The Last Decade

Andrew Zalesky

242 papers receiving 16.6k citations

Hit Papers

Network-based statistic: Identifying differences in brain... 2009 2026 2014 2020 2010 2015 2009 2012 2014 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Zalesky Australia 61 12.6k 6.4k 2.6k 2.1k 1.1k 247 16.8k
B.T. Thomas Yeo United States 60 17.2k 1.4× 7.1k 1.1× 3.5k 1.3× 2.1k 1.0× 1.0k 0.9× 169 21.1k
Daniel S. Margulies Germany 64 16.1k 1.3× 5.5k 0.9× 3.4k 1.3× 2.5k 1.2× 964 0.9× 210 20.1k
Mert R. Sabuncu United States 46 16.1k 1.3× 7.7k 1.2× 2.9k 1.1× 2.7k 1.3× 1.7k 1.6× 161 21.8k
Marc Joliot France 37 14.0k 1.1× 5.1k 0.8× 2.8k 1.1× 3.1k 1.5× 1.3k 1.2× 93 19.2k
Kate E. Watkins United Kingdom 45 11.6k 0.9× 6.7k 1.1× 2.5k 1.0× 2.2k 1.0× 843 0.8× 112 18.5k
Nicolas Delcroix France 22 10.7k 0.9× 4.2k 0.7× 2.2k 0.9× 2.7k 1.3× 1.0k 0.9× 47 14.9k
Fenna M. Krienen United States 15 15.0k 1.2× 5.7k 0.9× 2.7k 1.0× 2.1k 1.0× 1.8k 1.7× 20 18.2k
Alex Fornito Australia 64 13.7k 1.1× 6.2k 1.0× 3.2k 1.2× 3.6k 1.7× 956 0.9× 188 18.4k
Jonathan D. Power United States 37 19.6k 1.6× 7.0k 1.1× 4.0k 1.5× 2.3k 1.1× 765 0.7× 56 22.2k
Fabrice Crivello France 49 16.5k 1.3× 5.3k 0.8× 3.3k 1.2× 3.6k 1.7× 1.5k 1.4× 99 22.3k

Countries citing papers authored by Andrew Zalesky

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Zalesky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Zalesky

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Zalesky. A scholar is included among the top collaborators of Andrew Zalesky 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 Andrew Zalesky. Andrew Zalesky 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.
Otte, Wim, Arjan Hillebrand, Birte Glenthøj, et al.. (2025). Advancing treatment response prediction in first‐episode psychosis: integrating clinical and electroencephalography features. Psychiatry and Clinical Neurosciences. 79(4). 187–196. 1 indexed citations
2.
Zalesky, Andrew, Ye Tian, Luigi Ferrucci, et al.. (2025). Brain–heart–eye axis revealed by multi-organ imaging genetics and proteomics. Nature Biomedical Engineering. 1 indexed citations
3.
Poudel, Govinda, Saampras Ganesan, Chao Suo, et al.. (2024). Real-time fMRI-based neurofeedback to restore brain function in substance use disorders: A systematic review of the literature. Neuroscience & Biobehavioral Reviews. 165. 105865–105865. 3 indexed citations
4.
Falahati, Farshad, Jarkko Johansson, Micael Andersson, et al.. (2024). Two long-axis dimensions of hippocampal-cortical integration support memory function across the adult lifespan. eLife. 13. 2 indexed citations
5.
Seguin, Caio, Richard F. Betzel, Daniel Han, et al.. (2024). A generative model of the connectome with dynamic axon growth. Network Neuroscience. 8(4). 1192–1211. 6 indexed citations
6.
Biase, Maria A. Di, Ye Tian, Richard A. I. Bethlehem, et al.. (2023). Mapping human brain charts cross-sectionally and longitudinally. Proceedings of the National Academy of Sciences. 120(20). e2216798120–e2216798120. 43 indexed citations
7.
Ye, Hua, Andrew Zalesky, Jinglei Lv, et al.. (2021). Network Analysis of Symptom Comorbidity in Schizophrenia: Relationship to Illness Course and Brain White Matter Microstructure. Schizophrenia Bulletin. 47(4). 1156–1167. 12 indexed citations
8.
Cash, Robin, Anne Weigand, Andrew Zalesky, et al.. (2020). Using Brain Imaging to Improve Spatial Targeting of Transcranial Magnetic Stimulation for Depression. Biological Psychiatry. 90(10). 689–700. 201 indexed citations
9.
Beşiroğlu, Lütfullah, et al.. (2020). White matter microstructure and connectivity in patients with obsessive‐compulsive disorder and their unaffected siblings. Acta Psychiatrica Scandinavica. 143(1). 72–81. 13 indexed citations
10.
Seguin, Caio, Ye Tian, & Andrew Zalesky. (2020). Network communication models improve the behavioral and functional predictive utility of the human structural connectome. Network Neuroscience. 4(4). 980–1006. 62 indexed citations
11.
Rakesh, Divyangana, Clare Kelly, Nandita Vijayakumar, et al.. (2020). Unraveling the Consequences of Childhood Maltreatment: Deviations From Typical Functional Neurodevelopment Mediate the Relationship Between Maltreatment History and Depressive Symptoms. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 6(3). 329–342. 51 indexed citations
12.
Lv, Jinglei, Maria A. Di Biase, Robin Cash, et al.. (2020). Individual deviations from normative models of brain structure in a large cross-sectional schizophrenia cohort. Molecular Psychiatry. 26(7). 3512–3523. 86 indexed citations
13.
Andica, Christina, Koji Kamagata, Taku Hatano, et al.. (2019). Free-Water Imaging in White and Gray Matter in Parkinson’s Disease. Cells. 8(8). 839–839. 48 indexed citations
14.
Kamagata, Koji, Andrew Zalesky, Kazumasa Yokoyama, et al.. (2019). MR g-ratio-weighted connectome analysis in patients with multiple sclerosis. Scientific Reports. 9(1). 13522–13522. 24 indexed citations
15.
Seguin, Caio, Martijn P. van den Heuvel, & Andrew Zalesky. (2018). Navigation of brain networks. Proceedings of the National Academy of Sciences. 115(24). 6297–6302. 110 indexed citations
16.
Pedersen, Mangor, Andrew Zalesky, Amir Omidvarnia, & Graeme D. Jackson. (2018). Multilayer network switching rate predicts brain performance. Proceedings of the National Academy of Sciences. 115(52). 13376–13381. 132 indexed citations
17.
Fornito, Alex & Andrew Zalesky. (2018). Computational Approaches to Understanding Mental Dysfunction: Progress, Challenges, and New Frontiers. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 3(9). 728–730. 1 indexed citations
18.
Fornito, Alex, Andrew Zalesky, & Michael Breakspear. (2015). The connectomics of brain disorders. Nature reviews. Neuroscience. 16(3). 159–172. 1107 indexed citations breakdown →
19.
Zalesky, Andrew, Alex Fornito, & Edward T. Bullmore. (2010). Network-based statistic: Identifying differences in brain networks. NeuroImage. 53(4). 1197–1207. 1976 indexed citations breakdown →
20.
Zalesky, Andrew, Hai L. Vu, Zvi Rosberg, Moshe Zukerman, & Eric W. M. Wong. (2003). Performance analysis of optical burst switching networks with deflection routing. Swinburne Research Bank (Swinburne University of Technology). 229. 1 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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