Paula Sanz‐Leon

1.8k total citations
36 papers, 949 citations indexed

About

Paula Sanz‐Leon is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics. According to data from OpenAlex, Paula Sanz‐Leon has authored 36 papers receiving a total of 949 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cognitive Neuroscience, 6 papers in Cellular and Molecular Neuroscience and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Paula Sanz‐Leon's work include Neural dynamics and brain function (16 papers), Functional Brain Connectivity Studies (14 papers) and stochastic dynamics and bifurcation (4 papers). Paula Sanz‐Leon is often cited by papers focused on Neural dynamics and brain function (16 papers), Functional Brain Connectivity Studies (14 papers) and stochastic dynamics and bifurcation (4 papers). Paula Sanz‐Leon collaborates with scholars based in Australia, United States and France. Paula Sanz‐Leon's co-authors include S. A. Knock, Viktor Jirsa, Andreas Spiegler, Marmaduke Woodman, Lia Domide, Anthony R. McIntosh, Miguel Medina, Carmen G. Vallejo, P. A. Robinson and Rintaro Higuchi and has published in prestigious journals such as Nature Communications, PLoS ONE and NeuroImage.

In The Last Decade

Paula Sanz‐Leon

30 papers receiving 939 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paula Sanz‐Leon Australia 12 658 181 168 144 111 36 949
R. Srebro United States 17 523 0.8× 109 0.6× 196 1.2× 79 0.5× 152 1.4× 53 772
Marc-Étienne Rousseau Canada 12 454 0.7× 346 1.9× 63 0.4× 16 0.1× 200 1.8× 14 1.1k
Adam Baker United Kingdom 9 927 1.4× 193 1.1× 165 1.0× 14 0.1× 34 0.3× 14 1.1k
Jürgen Krüger Germany 22 743 1.1× 101 0.6× 408 2.4× 82 0.6× 350 3.2× 66 1.6k
Thomas Petermann Switzerland 11 854 1.3× 30 0.2× 283 1.7× 145 1.0× 80 0.7× 17 1.1k
Pulin Gong Australia 19 816 1.2× 30 0.2× 289 1.7× 90 0.6× 52 0.5× 54 1.0k
Bruss Lima Brazil 15 878 1.3× 64 0.4× 405 2.4× 52 0.4× 60 0.5× 40 950
Greg Hood United States 9 594 0.9× 54 0.3× 491 2.9× 133 0.9× 178 1.6× 16 1.1k
Stephan Gerhard Switzerland 9 444 0.7× 321 1.8× 295 1.8× 18 0.1× 143 1.3× 11 936
Miyoung Chun United States 7 297 0.5× 32 0.2× 255 1.5× 109 0.8× 146 1.3× 9 730

Countries citing papers authored by Paula Sanz‐Leon

Since Specialization
Citations

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

Fields of papers citing papers by Paula Sanz‐Leon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paula Sanz‐Leon. 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 Paula Sanz‐Leon. The network helps show where Paula Sanz‐Leon may publish in the future.

Co-authorship network of co-authors of Paula Sanz‐Leon

This figure shows the co-authorship network connecting the top 25 collaborators of Paula Sanz‐Leon. A scholar is included among the top collaborators of Paula Sanz‐Leon 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 Paula Sanz‐Leon. Paula Sanz‐Leon 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.
2.
Hearne, Luke J., Paula Sanz‐Leon, Saurabh Sonkusare, et al.. (2025). Mechanisms and interventions promoting healthy frontostriatal dynamics in obsessive-compulsive disorder. Nature Communications. 16(1). 7400–7400. 1 indexed citations
3.
Stuart, Robyn M., Jamie A. Cohen, Romesh Abeysuriya, et al.. (2024). Inferring the natural history of HPV from global cancer registries: insights from a multi-country calibration. Scientific Reports. 14(1). 15875–15875. 3 indexed citations
4.
Sanz‐Leon, Paula, Nathan J. Stevenson, Robyn M. Stuart, et al.. (2022). Risk of sustained SARS-CoV-2 transmission in Queensland, Australia. Scientific Reports. 12(1). 6 indexed citations
5.
Hearne, Luke J., James A. Roberts, Paula Sanz‐Leon, et al.. (2022). Mechanisms of imbalanced frontostriatal functional connectivity in obsessive-compulsive disorder. Brain. 146(4). 1322–1327. 9 indexed citations
6.
Sanz‐Leon, Paula, et al.. (2020). Effects of physiological parameter evolution on the dynamics of tonic-clonic seizures. PLoS ONE. 15(4). e0230510–e0230510. 3 indexed citations
7.
Hearne, Luke J., Hsiang‐Yuan Lin, Paula Sanz‐Leon, et al.. (2019). ADHD symptoms map onto noise-driven structure–function decoupling between hub and peripheral brain regions. Molecular Psychiatry. 26(8). 4036–4045. 25 indexed citations
8.
Sanz‐Leon, Paula, et al.. (2019). Unified dynamics of interictal events and absence seizures. Physical review. E. 100(2). 22407–22407. 7 indexed citations
9.
Sanz‐Leon, Paula, et al.. (2018). Spiking patterns and synchronization of thalamic neurons along the sleep-wake cycle. Chaos An Interdisciplinary Journal of Nonlinear Science. 28(10). 106314–106314. 13 indexed citations
10.
Sanz‐Leon, Paula, et al.. (2018). Dependence of absence seizure dynamics on physiological parameter evolution. Journal of Theoretical Biology. 454. 11–21. 6 indexed citations
11.
Sanz‐Leon, Paula, et al.. (2018). Spectrum of connectivity fluctuations including the effect of activity-dependent feedback. Physical review. E. 98(2). 22319–22319. 1 indexed citations
12.
Sanz‐Leon, Paula, P. A. Robinson, S. A. Knock, et al.. (2018). NFTsim: Theory and Simulation of Multiscale Neural Field Dynamics. PLoS Computational Biology. 14(8). e1006387–e1006387. 34 indexed citations
13.
Lizier, Joseph T., et al.. (2017). Network analysis of task-oriented neuroimaging data via multivariate information-theoretic measures. BMC Neuroscience.
14.
Sanz‐Leon, Paula, et al.. (2017). Spectral signatures of activity-dependent neural feedback in the corticothalamic system. Physical review. E. 96(5). 52310–52310. 3 indexed citations
15.
Sanz‐Leon, Paula & P. A. Robinson. (2017). Multistability in the corticothalamic system. Journal of Theoretical Biology. 432. 141–156. 6 indexed citations
16.
Sanz‐Leon, Paula, S. A. Knock, Andreas Spiegler, & Viktor Jirsa. (2015). Mathematical framework for large-scale brain network modeling in The Virtual Brain. NeuroImage. 111. 385–430. 227 indexed citations
17.
Woodman, Marmaduke, Laurent Pézard, Lia Domide, et al.. (2014). Integrating neuroinformatics tools in TheVirtualBrain. Frontiers in Neuroinformatics. 8. 36–36. 22 indexed citations
18.
Sanz‐Leon, Paula, S. A. Knock, Marmaduke Woodman, et al.. (2013). The Virtual Brain: a simulator of primate brain network dynamics. Frontiers in Neuroinformatics. 7. 10–10. 287 indexed citations
19.
Sanz‐Leon, Paula, Ivo Vanzetta, Guillaume S. Masson, & Laurent Perrinet. (2012). Motion clouds: model-based stimulus synthesis of natural-like random textures for the study of motion perception. Journal of Neurophysiology. 107(11). 3217–3226. 21 indexed citations
20.
Medina, Miguel, Paula Sanz‐Leon, & Carmen G. Vallejo. (1988). Drosophila cathepsin B-like proteinase: A suggested role in yolk degradation. Archives of Biochemistry and Biophysics. 263(2). 355–363. 77 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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