Craig E.L. Stark

18.6k total citations · 6 hit papers
137 papers, 12.7k citations indexed

About

Craig E.L. Stark is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, Craig E.L. Stark has authored 137 papers receiving a total of 12.7k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Cognitive Neuroscience, 40 papers in Cellular and Molecular Neuroscience and 21 papers in Psychiatry and Mental health. Recurrent topics in Craig E.L. Stark's work include Memory and Neural Mechanisms (82 papers), Memory Processes and Influences (40 papers) and Neuroscience and Neuropharmacology Research (37 papers). Craig E.L. Stark is often cited by papers focused on Memory and Neural Mechanisms (82 papers), Memory Processes and Influences (40 papers) and Neuroscience and Neuropharmacology Research (37 papers). Craig E.L. Stark collaborates with scholars based in United States, France and Germany. Craig E.L. Stark's co-authors include Larry R. Squire, Michael A. Yassa, Shauna M. Stark, Robert E. Clark, C. Brock Kirwan, Arnold Bakker, Joyce W. Lacy, Michael I. Miller, Michela Gallagher and Marilyn Albert and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Craig E.L. Stark

133 papers receiving 12.5k citations

Hit Papers

THE MEDIAL TEMPORAL LOBE 2001 2026 2009 2017 2004 2011 2008 2012 2001 500 1000 1.5k 2.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Craig E.L. Stark 9.8k 4.1k 1.7k 1.3k 1.2k 137 12.7k
Emrah Düzel 9.9k 1.0× 3.4k 0.8× 1.8k 1.0× 1.1k 0.9× 657 0.6× 243 13.8k
Michael A. Yassa 5.4k 0.6× 2.5k 0.6× 1.5k 0.8× 1.3k 1.0× 489 0.4× 149 8.2k
H.B.M. Uylings 7.2k 0.7× 5.3k 1.3× 1.3k 0.7× 984 0.8× 488 0.4× 160 14.3k
M.‐Marsel Mesulam 8.9k 0.9× 5.6k 1.4× 1.8k 1.0× 2.5k 1.9× 1.3k 1.1× 94 17.6k
Karen F. Berman 7.6k 0.8× 2.6k 0.6× 4.0k 2.3× 916 0.7× 617 0.5× 193 14.5k
Gordon Winocur 14.1k 1.4× 4.7k 1.1× 2.8k 1.6× 1.6k 1.3× 3.0k 2.5× 209 20.7k
Charan Ranganath 17.6k 1.8× 4.5k 1.1× 2.2k 1.2× 550 0.4× 1.9k 1.6× 191 20.6k
Stuart Zola‐Morgan 9.7k 1.0× 6.2k 1.5× 1.3k 0.8× 630 0.5× 885 0.7× 54 12.3k
Suzanne Corkin 10.4k 1.1× 2.3k 0.6× 2.8k 1.6× 1.3k 1.0× 2.1k 1.8× 149 14.6k
Joseph H. Callicott 10.1k 1.0× 6.4k 1.5× 5.3k 3.1× 1.1k 0.8× 346 0.3× 128 20.3k

Countries citing papers authored by Craig E.L. Stark

Since Specialization
Citations

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

Fields of papers citing papers by Craig E.L. Stark

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Craig E.L. Stark. 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 Craig E.L. Stark. The network helps show where Craig E.L. Stark may publish in the future.

Co-authorship network of co-authors of Craig E.L. Stark

This figure shows the co-authorship network connecting the top 25 collaborators of Craig E.L. Stark. A scholar is included among the top collaborators of Craig E.L. Stark 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 Craig E.L. Stark. Craig E.L. Stark 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.
Lee, Michael, et al.. (2024). Cognitive modeling of the Mnemonic Similarity Task as a digital biomarker for Alzheimer's disease. Alzheimer s & Dementia. 20(10). 6935–6947. 4 indexed citations
2.
Barense, Morgan D., et al.. (2024). The Effect of Segmentation Method on Medial Temporal Lobe Subregion Volumes in Aging. Human Brain Mapping. 45(15). e70054–e70054. 1 indexed citations
3.
Wahlheim, Christopher N., et al.. (2024). A response time model of the three-choice Mnemonic Similarity Task provides stable, mechanistically interpretable individual-difference measures. Frontiers in Human Neuroscience. 18. 1379287–1379287. 1 indexed citations
4.
Corrada, María M., et al.. (2024). Resilience to AD pathology in Top Cognitive Performers. Frontiers in Aging Neuroscience. 16. 1428695–1428695. 3 indexed citations
5.
Stark, Craig E.L., et al.. (2024). Digital cognitive assessments as low‐burden markers for predicting future cognitive decline and tau accumulation across the Alzheimer's spectrum. Alzheimer s & Dementia. 20(10). 6881–6895. 5 indexed citations
6.
Noche, Jessica A., Margo F. Ubele, Jeffrey Smiley, et al.. (2024). Age-Related Brain Atrophy and the Positive Effects of Behavioral Enrichment in Middle-Aged Beagles. Journal of Neuroscience. 44(20). e2366232024–e2366232024. 2 indexed citations
8.
Shahbaba, Babak, et al.. (2023). Improving clinical efficiency in screening for cognitive impairment due to Alzheimer's. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 15(4). e12494–e12494. 6 indexed citations
9.
Borzello, Mia, Steve Ramirez, Alessandro Treves, et al.. (2023). Assessments of dentate gyrus function: discoveries and debates. Nature reviews. Neuroscience. 24(8). 502–517. 60 indexed citations
10.
Stark, Craig E.L., et al.. (2023). Optimizing the mnemonic similarity task for efficient, widespread use. Frontiers in Behavioral Neuroscience. 17. 1080366–1080366. 10 indexed citations
11.
Bennett, Ilana J., et al.. (2022). Higher-order multi-shell diffusion measures complement tensor metrics and volume in gray matter when predicting age and cognition. NeuroImage. 253. 119063–119063. 17 indexed citations
12.
Levine, Linda J., Gillian Murphy, Heather C. Lench, et al.. (2021). Remembering facts versus feelings in the wake of political events. Cognition & Emotion. 35(5). 936–955. 10 indexed citations
13.
Stark, Shauna M., Amy Frithsen, & Craig E.L. Stark. (2020). Age‐related alterations in functional connectivity along the longitudinal axis of the hippocampus and its subfields. Hippocampus. 31(1). 11–27. 32 indexed citations
14.
Patihis, Lawrence, Steven J. Frenda, Aurora K. R. LePort, et al.. (2013). False Memories in Highly Superior Autobiographical Memory Individuals. SSRN Electronic Journal.
15.
Azab, Marwa, Shauna M. Stark, & Craig E.L. Stark. (2013). Contributions of human hippocampal subfields to spatial and temporal pattern separation. Hippocampus. 24(3). 293–302. 58 indexed citations
16.
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 →
17.
Yassa, Michael A. & Craig E.L. Stark. (2008). Multiple signals of recognition memory in the medial temporal lobe. Hippocampus. 18(9). 945–954. 66 indexed citations
18.
Levy, Daniel A., Craig E.L. Stark, & Larry R. Squire. (2004). Intact Conceptual Priming in the Absence of Declarative Memory. Psychological Science. 15(10). 680–686. 77 indexed citations
19.
Kirwan, C. Brock & Craig E.L. Stark. (2004). Medial temporal lobe activation during encoding and retrieval of novel face‐name pairs. Hippocampus. 14(7). 919–930. 260 indexed citations
20.
Stark, Craig E.L. & Larry R. Squire. (2001). Simple and Associative Recognition Memory in the Hippocampal Region. Learning & Memory. 8(4). 190–197. 100 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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