Jessica Royer

4.2k total citations · 2 hit papers
57 papers, 1.6k citations indexed

About

Jessica Royer is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jessica Royer has authored 57 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Cognitive Neuroscience, 24 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jessica Royer's work include Functional Brain Connectivity Studies (39 papers), Advanced Neuroimaging Techniques and Applications (22 papers) and Neural dynamics and brain function (19 papers). Jessica Royer is often cited by papers focused on Functional Brain Connectivity Studies (39 papers), Advanced Neuroimaging Techniques and Applications (22 papers) and Neural dynamics and brain function (19 papers). Jessica Royer collaborates with scholars based in Canada, United States and Germany. Jessica Royer's co-authors include Boris C. Bernhardt, Sara Larivière, Reinder Vos de Wael, Casey Paquola, Jonathan Smallwood, Shahin Tavakol, Oualid Benkarim, Sofie L. Valk, Daniel S. Margulies and Caroline Blais and has published in prestigious journals such as Nature Communications, Nature Neuroscience and NeuroImage.

In The Last Decade

Jessica Royer

53 papers receiving 1.6k citations

Hit Papers

BrainSpace: a toolbox for the analysis of macroscale grad... 2020 2026 2022 2024 2020 2022 100 200 300

Peers

Jessica Royer
E. Luders United States
Lisa Ronan United Kingdom
A.W. Toga United States
Sarah Genon Germany
Tse-Chung Wei United States
Binyam Nardos United States
Chris I. Zoumalan United States
Konrad Wagstyl United Kingdom
E. Luders United States
Jessica Royer
Citations per year, relative to Jessica Royer Jessica Royer (= 1×) peers E. Luders

Countries citing papers authored by Jessica Royer

Since Specialization
Citations

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

Fields of papers citing papers by Jessica Royer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jessica Royer

This figure shows the co-authorship network connecting the top 25 collaborators of Jessica Royer. A scholar is included among the top collaborators of Jessica Royer 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 Jessica Royer. Jessica Royer 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.
Ngo, Alexander, Jessica Royer, Sara Larivière, et al.. (2025). Alterations in Cortical Microstructure, Morphology, and Intrinsic Local Function in Spiking Tissue in Patients With Focal Epilepsy. Neurology. 104(12). e213733–e213733.
2.
Paquola, Casey, Stefan Frässle, Jessica Royer, et al.. (2025). The architecture of the human default mode network explored through cytoarchitecture, wiring and signal flow. Nature Neuroscience. 28(3). 654–664. 9 indexed citations
3.
Royer, Jessica, Raúl Rodríguez‐Cruces, Linda Horwood, et al.. (2025). Temporal Lobe Epilepsy Perturbs the Brain‐Wide Excitation‐Inhibition Balance: Associations with Microcircuit Organization, Clinical Parameters, and Cognitive Dysfunction. Advanced Science. 12(9). e2406835–e2406835. 6 indexed citations
4.
Wang, Yezhou, Nicole Eichert, Casey Paquola, et al.. (2025). Multimodal gradients unify local and global cortical organization. Nature Communications. 16(1). 3911–3911. 2 indexed citations
5.
Saberi, Amin, Casey Paquola, H. Lina Schaare, et al.. (2024). Microstructural asymmetry in the human cortex. Nature Communications. 15(1). 10124–10124. 4 indexed citations
6.
Larivière, Sara, Bo‐yong Park, Jessica Royer, et al.. (2024). Connectome reorganization associated with temporal lobe pathology and its surgical resection. Brain. 147(7). 2483–2495. 6 indexed citations
7.
Royer, Jessica, Sara Larivière, Jong Eun Lee, et al.. (2024). Comparison of different group-level templates in gradient-based multimodal connectivity analysis. Network Neuroscience. 8(4). 1009–1031. 6 indexed citations
8.
Royer, Jessica, Sara Larivière, Raúl Rodríguez‐Cruces, et al.. (2023). Cortical microstructural gradients capture memory network reorganization in temporal lobe epilepsy. Brain. 146(9). 3923–3937. 20 indexed citations
9.
Royer, Jessica, Ilana R. Leppert, Jennifer S. W. Campbell, et al.. (2023). The human brain connectome weighted by the myelin content and total intra-axonal cross-sectional area of white matter tracts. Network Neuroscience. 7(4). 1363–1388. 7 indexed citations
10.
Benkarim, Oualid, Casey Paquola, Bo‐yong Park, et al.. (2022). A Riemannian approach to predicting brain function from the structural connectome. NeuroImage. 257. 119299–119299. 15 indexed citations
11.
Valk, Sofie L., Ting Xu, Casey Paquola, et al.. (2022). Genetic and phylogenetic uncoupling of structure and function in human transmodal cortex. Nature Communications. 13(1). 2341–2341. 59 indexed citations
12.
Royer, Jessica, Raúl Rodríguez‐Cruces, Shahin Tavakol, et al.. (2022). An Open MRI Dataset For Multiscale Neuroscience. Scientific Data. 9(1). 569–569. 49 indexed citations
13.
Wang, Yezhou, Jessica Royer, Bo‐yong Park, et al.. (2022). Long-range functional connections mirror and link microarchitectural and cognitive hierarchies in the human brain. Cerebral Cortex. 33(5). 1782–1798. 28 indexed citations
14.
Tavakol, Shahin, Qiongling Li, Jessica Royer, et al.. (2021). A Structure–Function Substrate of Memory for Spatial Configurations in Medial and Lateral Temporal Cortices. Cerebral Cortex. 31(7). 3213–3225. 6 indexed citations
15.
Li, Qiongling, Shahin Tavakol, Jessica Royer, et al.. (2021). Atypical neural topographies underpin dysfunctional pattern separation in temporal lobe epilepsy. Brain. 144(8). 2486–2498. 20 indexed citations
16.
Benkarim, Oualid, Casey Paquola, Bo‐yong Park, et al.. (2021). Connectivity alterations in autism reflect functional idiosyncrasy. Communications Biology. 4(1). 1078–1078. 40 indexed citations
17.
Paquola, Casey, Jessica Royer, Lindsay B. Lewis, et al.. (2021). The BigBrainWarp toolbox for integration of BigBrain 3D histology with multimodal neuroimaging. eLife. 10. 38 indexed citations
18.
Wael, Reinder Vos de, Oualid Benkarim, Casey Paquola, et al.. (2020). BrainSpace: a toolbox for the analysis of macroscale gradients in neuroimaging and connectomics datasets. Communications Biology. 3(1). 103–103. 325 indexed citations breakdown →
19.
Park, Bo‐yong, Reinder Vos de Wael, Casey Paquola, et al.. (2020). Signal diffusion along connectome gradients and inter-hub routing differentially contribute to dynamic human brain function. NeuroImage. 224. 117429–117429. 44 indexed citations
20.
Tardif, Jessica, Sarah Cohan, Jessica Royer, et al.. (2018). Use of Face Information Varies Systematically From Developmental Prosopagnosics to Super-Recognizers. Psychological Science. 30(2). 300–308. 55 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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