Signe Bray

5.2k total citations · 2 hit papers
106 papers, 3.6k citations indexed

About

Signe Bray is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Signe Bray has authored 106 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Cognitive Neuroscience, 30 papers in Psychiatry and Mental health and 27 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Signe Bray's work include Functional Brain Connectivity Studies (46 papers), Advanced Neuroimaging Techniques and Applications (25 papers) and Schizophrenia research and treatment (14 papers). Signe Bray is often cited by papers focused on Functional Brain Connectivity Studies (46 papers), Advanced Neuroimaging Techniques and Applications (25 papers) and Schizophrenia research and treatment (14 papers). Signe Bray collaborates with scholars based in Canada, United States and Australia. Signe Bray's co-authors include Allan L. Reiss, Xu Cui, John P. O’Doherty, Gary H. Glover, Shinsuke Shimojo, Deborah Dewey, Catherine Lebel, Christiane S. Rohr, Giuseppe Iaria and Aiden E. G. F. Arnold and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Signe Bray

99 papers receiving 3.6k citations

Hit Papers

A quantitative comparison of NIRS and fMRI across multipl... 2009 2026 2014 2020 2010 2009 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Signe Bray Canada 28 2.3k 1.2k 522 487 480 106 3.6k
Martin Schecklmann Germany 40 2.8k 1.2× 639 0.5× 394 0.8× 617 1.3× 401 0.8× 167 4.8k
Lars Michels Switzerland 37 2.1k 0.9× 824 0.7× 399 0.8× 752 1.5× 326 0.7× 127 3.9k
Ranganatha Sitaram Germany 34 4.5k 1.9× 1.0k 0.8× 659 1.3× 505 1.0× 555 1.2× 105 5.4k
Adam J. Woods United States 39 2.7k 1.2× 526 0.4× 499 1.0× 866 1.8× 402 0.8× 178 5.1k
Thomas Dresler Germany 37 1.9k 0.8× 706 0.6× 224 0.4× 1.1k 2.2× 818 1.7× 141 4.1k
Emiliano Santarnecchi United States 46 3.6k 1.6× 536 0.4× 606 1.2× 638 1.3× 597 1.2× 198 5.9k
Notger G. Müller Germany 36 2.3k 1.0× 409 0.3× 231 0.4× 630 1.3× 727 1.5× 122 4.8k
Michael M. Plichta Germany 41 3.2k 1.4× 1.5k 1.2× 580 1.1× 1.3k 2.7× 852 1.8× 98 5.3k
Gabriel Leonard Canada 38 1.8k 0.8× 664 0.5× 149 0.3× 485 1.0× 387 0.8× 80 4.5k
Xu Cui United States 14 2.0k 0.9× 1.1k 0.9× 604 1.2× 242 0.5× 456 0.9× 20 3.1k

Countries citing papers authored by Signe Bray

Since Specialization
Citations

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

Fields of papers citing papers by Signe Bray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Signe Bray

This figure shows the co-authorship network connecting the top 25 collaborators of Signe Bray. A scholar is included among the top collaborators of Signe Bray 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 Signe Bray. Signe Bray 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.
Metzak, Paul D., Marilena M. DeMayo, Signe Bray, et al.. (2024). tDCS for the treatment of negative symptoms in youth at clinical-high-risk for psychosis: A feasibility study. Psychiatry Research Neuroimaging. 344. 111879–111879.
2.
Walker, Andrew, et al.. (2024). Brain Function and Pain Interference After Pediatric Intensive Interdisciplinary Pain Treatment. Clinical Journal of Pain. 40(7). 393–399.
3.
Wang, JianLi, Sidney H. Kennedy, Glenda MacQueen, et al.. (2023). Factors Associated with Transition to Serious Mental Illness: Facteurs associés à la transition à une maladie mentale grave. The Canadian Journal of Psychiatry. 69(2). 79–88.
4.
Onicas, Adrian, Stephanie Deighton, Keith Owen Yeates, et al.. (2023). Longitudinal Functional Connectome in Pediatric Concussion: An Advancing Concussion Assessment in Pediatrics Study. Journal of Neurotrauma. 41(5-6). 587–603. 5 indexed citations
5.
Rohr, Christiane S., et al.. (2022). Functional connectomes become more longitudinally self-stable, but not more distinct from others, across early childhood. NeuroImage. 258. 119367–119367. 6 indexed citations
6.
Santesteban‐Echarri, Olga, Glenda MacQueen, Benjamin A. Goldstein, et al.. (2020). Personality and risk for serious mental illness. Early Intervention in Psychiatry. 15(1). 133–139. 5 indexed citations
7.
Metzak, Paul D., Jean Addington, Stefanie Hassel, et al.. (2020). Functional imaging in youth at risk for transdiagnostic serious mental illness: Initial results from thePROCANstudy. Early Intervention in Psychiatry. 15(5). 1276–1291. 3 indexed citations
8.
Dimond, Dennis, Christiane S. Rohr, Mercedes Bagshawe, et al.. (2020). Grey and white matter volumes in early childhood: A comparison of voxel-based morphometry pipelines. Developmental Cognitive Neuroscience. 46. 100875–100875. 13 indexed citations
9.
Farris, Megan S., Glenda MacQueen, Benjamin I. Goldstein, et al.. (2020). Substance use in youth at‐risk for serious mental illness. Early Intervention in Psychiatry. 15(3). 634–641. 4 indexed citations
10.
Stowkowy, Jacqueline, Benjamin I. Goldstein, Glenda MacQueen, et al.. (2019). Trauma in Youth At-Risk for Serious Mental Illness. The Journal of Nervous and Mental Disease. 208(1). 70–76. 11 indexed citations
11.
Dimond, Dennis, Manuela Schuetze, Robert E. Smith, et al.. (2019). Reduced White Matter Fiber Density in Autism Spectrum Disorder. Cerebral Cortex. 29(4). 1778–1788. 57 indexed citations
12.
Pittman, Daniel J., et al.. (2019). Manipulating visual scanpaths during facial emotion perception modulates functional brain activation in schizophrenia patients and controls.. Journal of Abnormal Psychology. 128(8). 855–866. 5 indexed citations
13.
MacQueen, Glenda, Benjamin A. Goldstein, JianLi Wang, et al.. (2018). Neurocognitive deficits in a transdiagnostic clinical staging model. Psychiatry Research. 270. 1137–1142. 19 indexed citations
14.
Lebel, Catherine, et al.. (2018). Somatosensory Regions Show Limited Functional Connectivity Differences in Youth with Autism Spectrum Disorder. Brain Connectivity. 8(9). 558–566. 6 indexed citations
15.
Rohr, Christiane S., Anish Arora, Prayash Katlariwala, et al.. (2018). Functional network integration and attention skills in young children. Developmental Cognitive Neuroscience. 30. 200–211. 52 indexed citations
16.
Dimond, Dennis, Rebecca Perry, Giuseppe Iaria, & Signe Bray. (2018). Visuospatial short-term memory and dorsal visual gray matter volume. Cortex. 113. 184–190. 7 indexed citations
17.
Buchy, Lisa, Mariapaola Barbato, Carolina Makowski, et al.. (2017). Mapping structural covariance networks of facial emotion recognition in early psychosis: A pilot study. Schizophrenia Research. 189. 146–152. 17 indexed citations
18.
Schuetze, Manuela, et al.. (2016). Morphological Alterations in the Thalamus, Striatum, and Pallidum in Autism Spectrum Disorder. Neuropsychopharmacology. 41(11). 2627–2637. 118 indexed citations
19.
Buchy, Lisa, Mariapaola Barbato, Frank P. MacMaster, et al.. (2016). Cognitive insight is associated with cortical thickness in first-episode psychosis. Schizophrenia Research. 172(1-3). 16–22. 25 indexed citations
20.
Ramasubbu, Rajamannar, et al.. (2014). Reduced Intrinsic Connectivity of Amygdala in Adults with Major Depressive Disorder. Frontiers in Psychiatry. 5. 17–17. 125 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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