Amy L. Shelton

6.1k total citations · 1 hit paper
74 papers, 3.6k citations indexed

About

Amy L. Shelton is a scholar working on Automotive Engineering, Cognitive Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Amy L. Shelton has authored 74 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Automotive Engineering, 19 papers in Cognitive Neuroscience and 19 papers in Experimental and Cognitive Psychology. Recurrent topics in Amy L. Shelton's work include Spatial Cognition and Navigation (34 papers), Child and Animal Learning Development (15 papers) and Memory and Neural Mechanisms (12 papers). Amy L. Shelton is often cited by papers focused on Spatial Cognition and Navigation (34 papers), Child and Animal Learning Development (15 papers) and Memory and Neural Mechanisms (12 papers). Amy L. Shelton collaborates with scholars based in United States, France and United Kingdom. Amy L. Shelton's co-authors include Timothy P. McNamara, John D. E. Gabrieli, Arnold Bakker, Paul R. Borghesani, Monique M. Cherrier, Celestia S. Higano, Steven A. Marchette, Gregory L. Krauss, Michela Gallagher and Michael A. Yassa and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Neuron.

In The Last Decade

Amy L. Shelton

70 papers receiving 3.5k citations

Hit Papers

Reduction of Hippocampal Hyperactivity Improves Cognition... 2012 2026 2016 2021 2012 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
Amy L. Shelton United States 27 1.4k 1.3k 619 599 440 74 3.6k
Suzanna Becker Canada 32 326 0.2× 2.3k 1.8× 426 0.7× 557 0.9× 208 0.5× 85 4.0k
Jacqueline Metzler United States 6 2.1k 1.5× 2.0k 1.6× 1.3k 2.0× 1.1k 1.8× 73 0.2× 7 4.5k
Susan Courtney United States 33 186 0.1× 5.6k 4.4× 896 1.4× 487 0.8× 148 0.3× 81 6.9k
Dennis Chan United Kingdom 28 177 0.1× 1.8k 1.4× 195 0.3× 144 0.2× 292 0.7× 77 3.9k
James R. Wilson United States 29 149 0.1× 282 0.2× 621 1.0× 176 0.3× 336 0.8× 90 2.4k
James E. Hoffman United States 35 178 0.1× 4.2k 3.3× 1.3k 2.1× 595 1.0× 362 0.8× 94 5.5k
Clare Howarth United Kingdom 31 93 0.1× 1.4k 1.1× 122 0.2× 204 0.3× 825 1.9× 92 4.2k
Cees van Leeuwen Japan 37 119 0.1× 2.7k 2.2× 858 1.4× 525 0.9× 106 0.2× 248 4.7k
Mary A. Peterson United States 33 135 0.1× 2.9k 2.3× 801 1.3× 287 0.5× 54 0.1× 126 3.9k

Countries citing papers authored by Amy L. Shelton

Since Specialization
Citations

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

Fields of papers citing papers by Amy L. Shelton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amy L. Shelton. 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 Amy L. Shelton. The network helps show where Amy L. Shelton may publish in the future.

Co-authorship network of co-authors of Amy L. Shelton

This figure shows the co-authorship network connecting the top 25 collaborators of Amy L. Shelton. A scholar is included among the top collaborators of Amy L. Shelton 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 Amy L. Shelton. Amy L. Shelton 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.
Slaga, Dionysos, Diego Ellerman, T. Noelle Lombana, et al.. (2018). Avidity-based binding to HER2 results in selective killing of HER2-overexpressing cells by anti-HER2/CD3. Science Translational Medicine. 10(463). 93 indexed citations
2.
Jones, Jonathan D., et al.. (2018). Constraints and Development in Children's Block Construction.. Cognitive Science. 3 indexed citations
3.
Choy, Lisa, Thijs J. Hagenbeek, Margaret Solon, et al.. (2017). Constitutive NOTCH3 Signaling Promotes the Growth of Basal Breast Cancers. Cancer Research. 77(6). 1439–1452. 73 indexed citations
4.
Jones, Jonathan D., et al.. (2017). Characterizing spatial construction processes: Toward computational tools to understand cognition.. Cognitive Science. 2 indexed citations
5.
Tran, Ivy, Ashley R. Sandy, Alexis J. Carulli, et al.. (2013). Blockade of individual Notch ligands and receptors controls graft-versus-host disease. Journal of Clinical Investigation. 123(4). 1590–1604. 111 indexed citations
6.
Clements-Stephens, Amy M. & Amy L. Shelton. (2013). Go Figure: Individuation vs. Configuration in Processing Spatial Arrays. Journal of Vision. 13(9). 65–65.
7.
McCarty, Maclyn, Dana S. Balser, J. A. Braatz, et al.. (2012). The GBT Dynamic Scheduling System. ASPC. 461. 193. 1 indexed citations
8.
Bakker, Arnold, Gregory L. Krauss, Marilyn Albert, et al.. (2012). Reduction of Hippocampal Hyperactivity Improves Cognition in Amnestic Mild Cognitive Impairment. Neuron. 74(3). 467–474. 672 indexed citations breakdown →
9.
Marchette, Steven A., et al.. (2012). Accessibility versus accuracy in retrieving spatial memory: Evidence for suboptimal assumed headings.. Journal of Experimental Psychology Learning Memory and Cognition. 39(4). 1106–1114. 6 indexed citations
10.
Montojo, Caroline A., Steven A. Marchette, Daniel M. Harrison, et al.. (2011). Object Working Memory Performance Depends on Microstructure of the Frontal-Occipital Fasciculus. Brain Connectivity. 1(4). 317–329. 23 indexed citations
11.
Balser, Dana S., J. A. Braatz, J. J. Condon, et al.. (2011). The GBT Dynamic Scheduling System: An Update. ASPC. 442. 293.
12.
Adamson, Maheen M., Ben Hutchinson, Amy L. Shelton, Anthony D. Wagner, & Joy L. Taylor. (2011). Reduced hippocampal activity during encoding in cognitively normal adults carrying the APOE ɛ4 allele. Neuropsychologia. 49(9). 2448–2455. 28 indexed citations
13.
Shelton, Amy L. & Steven A. Marchette. (2010). Where do you think you are? Effects of conceptual current position on spatial memory performance.. Journal of Experimental Psychology Learning Memory and Cognition. 36(3). 686–698. 9 indexed citations
14.
O’Neil, K., Dana S. Balser, J. J. Condon, et al.. (2009). The GBT Dynamic Scheduling System: A New Scheduling Paradigm. ASPC. 411. 147. 1 indexed citations
15.
Yamamoto, Naohide & Amy L. Shelton. (2009). Orientation dependence of spatial memory acquired from auditory experience. Psychonomic Bulletin & Review. 16(2). 301–305. 13 indexed citations
16.
Yamamoto, Naohide & Amy L. Shelton. (2008). Sequential versus simultaneous viewing of an environment: Effects of focal attention to individual object locations on visual spatial learning. Visual Cognition. 17(4). 457–483. 18 indexed citations
17.
Harris, A. I., A. J. Baker, P. R. Jewell, et al.. (2007). The Zpectrometer: an Ultra-Wideband Spectrometer for the Green Bank Telescope. ASPC. 375. 82. 3 indexed citations
18.
O’Neil, K., Amy L. Shelton, Nicole Radziwill, & Richard Prestage. (2005). The Astronomer's Integrated Desktop: A Unified Suite of Applications for Scheduling-Block Based Observing with the GBT. ASPC. 351. 719. 2 indexed citations
19.
McNamara, Timothy P., et al.. (2003). Cognitive maps and the hippocampus. Trends in Cognitive Sciences. 7(8). 333–335. 35 indexed citations
20.
Roskos‐Ewoldsen, Beverly, Timothy P. McNamara, Amy L. Shelton, & Walter Carr. (1998). Mental representations of large and small spatial layouts are orientation dependent.. Journal of Experimental Psychology Learning Memory and Cognition. 24(1). 215–226. 9 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026