Stephanie L. Leal

1.8k total citations
36 papers, 1.2k citations indexed

About

Stephanie L. Leal is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Cellular and Molecular Neuroscience. According to data from OpenAlex, Stephanie L. Leal has authored 36 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cognitive Neuroscience, 10 papers in Psychiatry and Mental health and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Stephanie L. Leal's work include Memory and Neural Mechanisms (18 papers), Dementia and Cognitive Impairment Research (10 papers) and Neuroscience and Neuropharmacology Research (7 papers). Stephanie L. Leal is often cited by papers focused on Memory and Neural Mechanisms (18 papers), Dementia and Cognitive Impairment Research (10 papers) and Neuroscience and Neuropharmacology Research (7 papers). Stephanie L. Leal collaborates with scholars based in United States, Germany and Bulgaria. Stephanie L. Leal's co-authors include Michael A. Yassa, William J. Jagust, Sarah K. Tighe, Rachel K. Bell, Jessica A. Noche, Elizabeth Murray, Brian A. Anderson, Susan Landau, Craig Jones and Anne Maaß and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

Stephanie L. Leal

32 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephanie L. Leal United States 18 850 268 263 217 146 36 1.2k
Zachariah M. Reagh United States 20 1.0k 1.2× 173 0.6× 336 1.3× 120 0.6× 99 0.7× 32 1.3k
Hallvard Røe Evensmoen Norway 12 946 1.1× 164 0.6× 391 1.5× 82 0.4× 108 0.7× 19 1.3k
Lee Ryan United States 17 614 0.7× 211 0.8× 173 0.7× 213 1.0× 85 0.6× 28 1.1k
Elisabeth Wenger Germany 17 739 0.9× 183 0.7× 124 0.5× 138 0.6× 188 1.3× 24 1.3k
Alireza Salami Sweden 28 1.5k 1.8× 544 2.0× 252 1.0× 238 1.1× 264 1.8× 77 2.3k
Aaron T. Mattfeld United States 13 706 0.8× 197 0.7× 213 0.8× 67 0.3× 154 1.1× 34 927
Godehard Weniger Germany 24 905 1.1× 680 2.5× 203 0.8× 100 0.5× 262 1.8× 46 1.7k
Anna Rieckmann Sweden 26 1.4k 1.7× 393 1.5× 235 0.9× 146 0.7× 321 2.2× 56 2.0k
Anne S. Berry United States 23 793 0.9× 239 0.9× 306 1.2× 124 0.6× 186 1.3× 38 1.4k
Olga Kedo Germany 7 758 0.9× 181 0.7× 186 0.7× 104 0.5× 206 1.4× 9 1.1k

Countries citing papers authored by Stephanie L. Leal

Since Specialization
Citations

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

Fields of papers citing papers by Stephanie L. Leal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephanie L. Leal

This figure shows the co-authorship network connecting the top 25 collaborators of Stephanie L. Leal. A scholar is included among the top collaborators of Stephanie L. Leal 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 Stephanie L. Leal. Stephanie L. Leal 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.
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Kennedy, Kristen M., Luis D. Medina, Paul E. Schulz, et al.. (2025). Cortical thickness and low-grade inflammation moderate the association between depressive symptoms and cognitive function in early widowhood: A preliminary study. Brain Behavior and Immunity. 129. 620–633.
3.
Leal, Stephanie L., et al.. (2025). Image memorability depends on interference in memory. Scientific Reports. 15(1). 36597–36597. 1 indexed citations
4.
Buergler, John M., et al.. (2025). Emotion regulation strategies differentially impact memory in hormonal contraceptive users. Hormones and Behavior. 175. 105805–105805.
5.
Leal, Stephanie L., et al.. (2024). Tell me why: the missing w in episodic memory’s what, where, and when. Cognitive Affective & Behavioral Neuroscience. 25(1). 6–24. 1 indexed citations
6.
Leal, Stephanie L., et al.. (2024). Retirement through rose-colored glasses: greater positivity bias in retired relative to working older adults. Work Aging and Retirement. 11(2). 162–174. 1 indexed citations
7.
Leal, Stephanie L., et al.. (2024). Emotional modulation of memorability in mnemonic discrimination. Neurobiology of Learning and Memory. 210. 107904–107904. 4 indexed citations
8.
Denny, Bryan T., et al.. (2023). Emotion regulation during encoding reduces negative and enhances neutral mnemonic discrimination in individuals with depressive symptoms. Neurobiology of Learning and Memory. 205. 107824–107824. 7 indexed citations
9.
Phillips, Taylor, et al.. (2023). Perceived antidepressant efficacy associated with reduced negative and enhanced neutral mnemonic discrimination. Frontiers in Human Neuroscience. 17. 1225836–1225836. 5 indexed citations
10.
Leal, Stephanie L., et al.. (2023). A novel face-name mnemonic discrimination task with naturalistic stimuli. Neuropsychologia. 189. 108678–108678. 3 indexed citations
11.
Leal, Stephanie L., et al.. (2023). Deciphering Facial Expressions: factors that affect emotion recognition. Journal of Student Research. 11(1). 2 indexed citations
12.
Leal, Stephanie L., et al.. (2020). Integrity of the uncinate fasciculus is associated with emotional pattern separation-related fMRI signals in the hippocampal dentate and CA3. Neurobiology of Learning and Memory. 177. 107359–107359. 12 indexed citations
13.
Leal, Stephanie L., et al.. (2019). Development of a mnemonic discrimination task using naturalistic stimuli with applications to aging and preclinical Alzheimer's disease. Learning & Memory. 26(7). 219–228. 17 indexed citations
14.
Leal, Stephanie L., Samuel N. Lockhart, Anne Maaß, Rachel K. Bell, & William J. Jagust. (2018). Subthreshold Amyloid Predicts Tau Deposition in Aging. Journal of Neuroscience. 38(19). 4482–4489. 99 indexed citations
15.
Zheng, Jie, Stephanie L. Leal, Avgusta Y. Shestyuk, et al.. (2017). Amygdala-hippocampal dynamics during salient information processing. Nature Communications. 8(1). 14413–14413. 125 indexed citations
16.
Leal, Stephanie L., et al.. (2016). Positivity effect specific to older adults with subclinical memory impairment. Learning & Memory. 23(8). 415–421. 10 indexed citations
17.
Leal, Stephanie L., Jessica A. Noche, Elizabeth Murray, & Michael A. Yassa. (2016). Age-related individual variability in memory performance is associated with amygdala-hippocampal circuit function and emotional pattern separation. Neurobiology of Aging. 49. 9–19. 39 indexed citations
18.
Leal, Stephanie L. & Michael A. Yassa. (2015). Neurocognitive Aging and the Hippocampus across Species. Trends in Neurosciences. 38(12). 800–812. 149 indexed citations
19.
Anderson, Brian A., et al.. (2014). The attribution of value-based attentional priority in individuals with depressive symptoms. Cognitive Affective & Behavioral Neuroscience. 14(4). 1221–1227. 55 indexed citations
20.
Anderson, Brian A., et al.. (2014). The attribution of value-based attentional priority in individuals with depressive symptoms. Visual Cognition. 22(8). 1014–1017. 17 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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