Sarah Sheldon

524 total citations
13 papers, 389 citations indexed

About

Sarah Sheldon is a scholar working on Neurology, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Sarah Sheldon has authored 13 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Neurology, 5 papers in Cognitive Neuroscience and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Sarah Sheldon's work include Neurological disorders and treatments (4 papers), Genetic Neurodegenerative Diseases (4 papers) and Visual perception and processing mechanisms (3 papers). Sarah Sheldon is often cited by papers focused on Neurological disorders and treatments (4 papers), Genetic Neurodegenerative Diseases (4 papers) and Visual perception and processing mechanisms (3 papers). Sarah Sheldon collaborates with scholars based in United States, Netherlands and Canada. Sarah Sheldon's co-authors include Adam R. Aron, Diederick Stoffers, Jody Corey‐Bloom, Jody Goldstein, Joshua Kuperman, Alex R. Bowers, Anders M. Dale, Frederick Verbruggen, Cathy M. Stinear and Angela Rizk‐Jackson and has published in prestigious journals such as NeuroImage, Neurology and Neuropsychologia.

In The Last Decade

Sarah Sheldon

13 papers receiving 379 citations

Peers

Sarah Sheldon

CMN

NEURO

RNMI

Alidz Pambakian United Kingdom

Jeffrey D. Riley United States

Bernhard Lachenmayr Germany

David R. Neima Canada

Keren Rosenberg‐Katz Israel

Sarvi Sharifi Netherlands

Sinem Balta Beylergil United States

Emahnuel Troisi Lopez Italy

Samantha J. Palmer Canada

Alicia Peltsch Canada

Alidz Pambakian United Kingdom

Sarah Sheldon

23 ×0.1

CMN

34 ×0.2

NEURO

444 ×3.3

42 ×0.5

38 ×0.5

RNMI

Citations per year, relative to Sarah Sheldon Sarah Sheldon (= 1×) peers Alidz Pambakian

Countries citing papers authored by Sarah Sheldon

Since Specialization

Citations

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

Fields of papers citing papers by Sarah Sheldon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Sheldon

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah Sheldon. A scholar is included among the top collaborators of Sarah Sheldon 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 Sarah Sheldon. Sarah Sheldon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

Sheldon, Sarah & Kyle E. Mathewson. (2021). To see, not to see or to see poorly: Perceptual quality and guess rate as a function of electroencephalography (EEG) brain activity in an orientation perception task. European Journal of Neuroscience. 55(11-12). 3154–3177. 2 indexed citations

Costela, Francisco M., et al.. (2018). People with Hemianopia Report Difficulty with TV, Computer, Cinema Use, and Photography. Optometry and Vision Science. 95(5). 428–434. 4 indexed citations

Sheldon, Sarah & Kyle E. Mathewson. (2018). Does 10-Hz Cathodal Oscillating Current of the Parieto-Occipital Lobe Modulate Target Detection?. Frontiers in Neuroscience. 12. 83–83. 7 indexed citations

Zhang, Lily, et al.. (2017). The Effects of Guidance Method on Detection and Scanning at Intersections – A Pilot Study. PubMed. 2017. 340–346. 4 indexed citations

Bowers, Alex R., Sarah Sheldon, Dawn K. DeCarlo, & Eli Peli. (2016). Bioptic Telescope Use and Driving Patterns of Drivers with Age-Related Macular Degeneration. Translational Vision Science & Technology. 5(5). 5–5. 7 indexed citations

Hecht, Heiko, et al.. (2015). The effects of simulated vision impairments on the cone of gaze. Attention Perception & Psychophysics. 77(7). 2399–2408. 11 indexed citations

Sheldon, Sarah, et al.. (2014). The Effect of Central Vision Loss on Perception of Mutual Gaze. Optometry and Vision Science. 91(8). 1000–1011. 4 indexed citations

Bowers, Alex R., Raffaela Anastasio, Sarah Sheldon, et al.. (2013). Can we improve clinical prediction of at-risk older drivers?. Accident Analysis & Prevention. 59. 537–547. 56 indexed citations

Majid, D.S. Adnan, Diederick Stoffers, Sarah Sheldon, et al.. (2011). Automated structural imaging analysis detects premanifest Huntington's disease neurodegeneration within 1 year. Movement Disorders. 26(8). 1481–1488. 18 indexed citations

10.

Majid, D.S. Adnan, Adam R. Aron, Wesley K. Thompson, et al.. (2011). Basal ganglia atrophy in prodromal Huntington's disease is detectable over one year using automated segmentation. Movement Disorders. 26(14). 2544–2551. 45 indexed citations

11.

Rizk‐Jackson, Angela, Diederick Stoffers, Sarah Sheldon, et al.. (2010). Evaluating imaging biomarkers for neurodegeneration in pre-symptomatic Huntington's disease using machine learning techniques. NeuroImage. 56(2). 788–796. 84 indexed citations

12.

Stoffers, Diederick, Sarah Sheldon, Joshua Kuperman, et al.. (2010). Contrasting gray and white matter changes in preclinical Huntington disease. Neurology. 74(15). 1208–1216. 82 indexed citations

13.

Sheldon, Sarah, et al.. (2009). Having a goal to stop action is associated with advance control of specific motor representations. Neuropsychologia. 48(2). 541–548. 65 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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