Penelope A. Lewis

6.4k total citations · 2 hit papers
66 papers, 4.5k citations indexed

About

Penelope A. Lewis is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Social Psychology. According to data from OpenAlex, Penelope A. Lewis has authored 66 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Cognitive Neuroscience, 27 papers in Experimental and Cognitive Psychology and 5 papers in Social Psychology. Recurrent topics in Penelope A. Lewis's work include Sleep and Wakefulness Research (44 papers), Memory and Neural Mechanisms (30 papers) and Sleep and related disorders (23 papers). Penelope A. Lewis is often cited by papers focused on Sleep and Wakefulness Research (44 papers), Memory and Neural Mechanisms (30 papers) and Sleep and related disorders (23 papers). Penelope A. Lewis collaborates with scholars based in United Kingdom, United States and Germany. Penelope A. Lewis's co-authors include R. Chris Miall, Simon Durrant, Paul S. Weiss, Rachel K. Smith, Scott A. Cairney, Robin Dunbar, Neil Roberts, Matthew A. Lambon Ralph, James E. Hutchison and Nora Hennies and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Neuroscience and NeuroImage.

In The Last Decade

Penelope A. Lewis

63 papers receiving 4.4k citations

Hit Papers

Patterning self-assembled... 2003 2026 2010 2018 2004 2003 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
Penelope A. Lewis United Kingdom 32 2.9k 1.3k 885 517 496 66 4.5k
Antao Chen China 34 1.6k 0.6× 559 0.4× 1.3k 1.5× 629 1.2× 339 0.7× 263 4.9k
Mikael Johansson Sweden 28 1.7k 0.6× 335 0.3× 687 0.8× 322 0.6× 260 0.5× 124 3.2k
Michel Bonnet France 37 2.3k 0.8× 475 0.4× 215 0.2× 383 0.7× 451 0.9× 153 4.7k
Yuka Sasaki United States 43 6.2k 2.1× 972 0.8× 91 0.1× 381 0.7× 788 1.6× 166 7.7k
Anna Wang Roe United States 41 3.9k 1.3× 366 0.3× 186 0.2× 479 0.9× 285 0.6× 149 5.4k
P. Hansen United Kingdom 55 4.2k 1.4× 1.2k 0.9× 2.8k 3.1× 627 1.2× 557 1.1× 209 9.7k
Tobias Großmann Germany 42 2.5k 0.9× 1.1k 0.9× 404 0.5× 272 0.5× 1.6k 3.2× 131 5.3k
Sven Bestmann United Kingdom 55 7.0k 2.4× 598 0.5× 184 0.2× 1.1k 2.2× 659 1.3× 143 9.8k
Astrid Van Wieringen Belgium 44 4.3k 1.5× 418 0.3× 419 0.5× 272 0.5× 43 0.1× 220 5.8k
Xiaoxia Du China 40 1.6k 0.5× 778 0.6× 129 0.1× 696 1.3× 184 0.4× 124 4.8k

Countries citing papers authored by Penelope A. Lewis

Since Specialization
Citations

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

Fields of papers citing papers by Penelope A. Lewis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Penelope A. Lewis. 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 Penelope A. Lewis. The network helps show where Penelope A. Lewis may publish in the future.

Co-authorship network of co-authors of Penelope A. Lewis

This figure shows the co-authorship network connecting the top 25 collaborators of Penelope A. Lewis. A scholar is included among the top collaborators of Penelope A. Lewis 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 Penelope A. Lewis. Penelope A. Lewis 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
2.
Santamaria, Lorena, et al.. (2024). Memory reactivation in slow wave sleep enhances relational learning in humans. Communications Biology. 7(1). 288–288. 5 indexed citations
3.
Pereira, Sofia Isabel Ribeiro, et al.. (2023). Rule Abstraction Is Facilitated by Auditory Cuing in REM Sleep. Journal of Neuroscience. 43(21). 3838–3848. 12 indexed citations
4.
Lewis, Penelope A., et al.. (2022). Wearing an eye mask during overnight sleep improves episodic learning and alertness. SLEEP. 46(3). 3 indexed citations
5.
Debellemanière, Eden, Jules Schneider, Pierrick J. Arnal, et al.. (2022). Optimising sounds for the driving of sleep oscillations by closed‐loop auditory stimulation. Journal of Sleep Research. 31(6). e13676–e13676. 10 indexed citations
6.
Sommer, Tobias, Nora Hennies, Penelope A. Lewis, & Arjen Alink. (2022). The Assimilation of Novel Information into Schemata and Its Efficient Consolidation. Journal of Neuroscience. 42(30). 5916–5929. 14 indexed citations
7.
Schneider, Jules, et al.. (2020). Susceptibility to auditory closed-loop stimulation of sleep slow oscillations changes with age. SLEEP. 43(12). 45 indexed citations
8.
Lewis, Penelope A. & Daniel Bendor. (2019). How Targeted Memory Reactivation Promotes the Selective Strengthening of Memories in Sleep. Current Biology. 29(18). R906–R912. 56 indexed citations
9.
Lewis, Penelope A., Günther Knoblich, & Gina R. Poe. (2018). How Memory Replay in Sleep Boosts Creative Problem-Solving. Trends in Cognitive Sciences. 22(6). 491–503. 120 indexed citations
10.
Durrant, Simon, Scott A. Cairney, & Penelope A. Lewis. (2016). Cross-modal transfer of statistical information benefits from sleep. Cortex. 78. 85–99. 25 indexed citations
11.
Cousins, James N., Wael El‐Deredy, Laura M. Parkes, Nora Hennies, & Penelope A. Lewis. (2016). Cued Reactivation of Motor Learning during Sleep Leads to Overnight Changes in Functional Brain Activity and Connectivity. PLoS Biology. 14(5). e1002451–e1002451. 65 indexed citations
12.
Durrant, Simon, et al.. (2015). Schema-conformant memories are preferentially consolidated during REM sleep. Neurobiology of Learning and Memory. 122. 41–50. 53 indexed citations
13.
Cousins, James N., Wael El‐Deredy, Laura M. Parkes, Nora Hennies, & Penelope A. Lewis. (2014). Cued Memory Reactivation during Slow-Wave Sleep Promotes Explicit Knowledge of a Motor Sequence. Journal of Neuroscience. 34(48). 15870–15876. 67 indexed citations
14.
Cairney, Scott A., Simon Durrant, Rebecca L. Jackson, & Penelope A. Lewis. (2014). Sleep spindles provide indirect support to the consolidation of emotional encoding contexts. Neuropsychologia. 63. 285–292. 29 indexed citations
15.
Lewis, Penelope A. & Simon Durrant. (2011). Overlapping memory replay during sleep builds cognitive schemata. Trends in Cognitive Sciences. 15(8). 343–351. 338 indexed citations
16.
Lewis, Penelope A., Roozbeh Rezaie, Rachel C. Brown, Neil Roberts, & Robin Dunbar. (2011). Ventromedial prefrontal volume predicts understanding of others and social network size. NeuroImage. 57(4). 1624–1629. 241 indexed citations
17.
Lewis, Penelope A., et al.. (2010). Keeping time in your sleep: Overnight consolidation of temporal rhythm. Neuropsychologia. 49(1). 115–123. 34 indexed citations
18.
Powell, Joanne, Penelope A. Lewis, Robin Dunbar, Marta García‐Fiñana, & Neil Roberts. (2010). Orbital prefrontal cortex volume correlates with social cognitive competence. Neuropsychologia. 48(12). 3554–3562. 103 indexed citations
19.
Durrant, Simon & Penelope A. Lewis. (2009). Memory Consolidation: Tracking Transfer with Functional Connectivity. Current Biology. 19(18). R860–R862. 13 indexed citations
20.
Lewis, Penelope A.. (2002). Finding the timer. Trends in Cognitive Sciences. 6(5). 195–196. 22 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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