Jonathan Lee

7.5k total citations · 3 hit papers
96 papers, 5.5k citations indexed

About

Jonathan Lee is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Information Systems. According to data from OpenAlex, Jonathan Lee has authored 96 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Cognitive Neuroscience, 44 papers in Cellular and Molecular Neuroscience and 18 papers in Information Systems. Recurrent topics in Jonathan Lee's work include Memory and Neural Mechanisms (44 papers), Neuroscience and Neuropharmacology Research (42 papers) and Stress Responses and Cortisol (12 papers). Jonathan Lee is often cited by papers focused on Memory and Neural Mechanisms (44 papers), Neuroscience and Neuropharmacology Research (42 papers) and Stress Responses and Cortisol (12 papers). Jonathan Lee collaborates with scholars based in United Kingdom, United States and Taiwan. Jonathan Lee's co-authors include Barry J. Everitt, Amy Milton, Kerrie L. Thomas, Daniela Schiller, Karim Nader, Marc T. J. Exton-McGuinness, Charlotte R. Flavell, Amy C. Reichelt, Patricia Di Ciano and Carl W. Stevenson and has published in prestigious journals such as Science, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Jonathan Lee

87 papers receiving 5.4k citations

Hit Papers

Independent Cellular Processes for Hippocampal Memory Con... 2004 2026 2011 2018 2004 2017 2022 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
Jonathan Lee United Kingdom 38 3.7k 3.2k 976 847 587 96 5.5k
Bruno Bontempi France 25 4.1k 1.1× 3.7k 1.1× 847 0.9× 651 0.8× 376 0.6× 63 5.5k
Min Whan Jung South Korea 38 3.4k 0.9× 2.8k 0.9× 1.2k 1.2× 525 0.6× 509 0.9× 109 5.6k
Boyer D. Winters Canada 30 2.4k 0.7× 2.1k 0.6× 758 0.8× 487 0.6× 538 0.9× 73 3.7k
Elizabeth C. Warburton United Kingdom 38 3.1k 0.8× 3.2k 1.0× 1.1k 1.1× 628 0.7× 537 0.9× 69 5.0k
Mark Good United Kingdom 41 4.0k 1.1× 3.5k 1.1× 910 0.9× 911 1.1× 656 1.1× 127 6.5k
Matthew L. Shapiro United States 40 4.9k 1.3× 4.1k 1.3× 586 0.6× 617 0.7× 453 0.8× 79 6.1k
Andrea A. Chiba United States 25 2.8k 0.8× 2.5k 0.8× 843 0.9× 436 0.5× 442 0.8× 52 4.8k
John Power Australia 40 2.0k 0.5× 2.6k 0.8× 1.4k 1.4× 533 0.6× 498 0.8× 142 5.9k
Malcolm W. Brown United Kingdom 33 4.5k 1.2× 3.2k 1.0× 834 0.9× 406 0.5× 561 1.0× 61 6.2k

Countries citing papers authored by Jonathan Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Lee. A scholar is included among the top collaborators of Jonathan Lee 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 Jonathan Lee. Jonathan Lee 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.
2.
Kelly, Karen, Jonathan Lee, Dimas Echeverria, et al.. (2023). Self-delivering, chemically modified CRISPR RNAs for AAV co-delivery and genome editing in vivo. Nucleic Acids Research. 52(2). 977–997. 10 indexed citations
3.
Vincent, Fabien, Arsenio Nueda, Jonathan Lee, et al.. (2022). Phenotypic drug discovery: recent successes, lessons learned and new directions. Nature Reviews Drug Discovery. 21(12). 899–914. 165 indexed citations breakdown →
4.
Coffel, Ethan, Bruce Keith, Corey Lesk, et al.. (2019). Future Hot and Dry Years Worsen Nile Basin Water Scarcity Despite Projected Precipitation Increases. Earth s Future. 7(8). 967–977. 81 indexed citations
5.
Gehrke, Johannes, Arvind Arasu, Joachim Hammer, et al.. (2019). Veritas: Shared Verifiable Databases and Tables in the Cloud.. Conference on Innovative Data Systems Research. 14 indexed citations
6.
Flavell, Charlotte R. & Jonathan Lee. (2019). Dopaminergic D1 receptor signalling is necessary, but not sufficient for cued fear memory destabilisation. Psychopharmacology. 236(12). 3667–3676. 12 indexed citations
7.
Flavell, Charlotte R., et al.. (2018). Postretrieval Relearning Strengthens Hippocampal Memories via Destabilization and Reconsolidation. Journal of Neuroscience. 39(6). 1109–1118. 17 indexed citations
8.
Lee, Jonathan, Heungsun Hwang, & An V. Tran. (2017). Repositioning Via Abstraction. ACR North American Advances.
9.
Lee, Jonathan, et al.. (2016). Enhancing effect of menthol on nicotine self-administration in rats. Psychopharmacology. 233(18). 3417–3427. 63 indexed citations
10.
Exton-McGuinness, Marc T. J. & Jonathan Lee. (2015). Reduction in Responding for Sucrose and Cocaine Reinforcement by Disruption of Memory Reconsolidation. eNeuro. 2(2). ENEURO.0009–15.2015. 43 indexed citations
11.
Reichelt, Amy C., Marc T. J. Exton-McGuinness, & Jonathan Lee. (2013). Ventral Tegmental Dopamine Dysregulation Prevents Appetitive Memory Destabilization. Journal of Neuroscience. 33(35). 14205–14210. 48 indexed citations
12.
Richardson, Louise, et al.. (2013). NMDA receptor antagonists distort visual grouping in rats performing a modified two-choice visual discrimination task. Psychopharmacology. 229(4). 627–637. 5 indexed citations
13.
Sandkühler, Jürgen & Jonathan Lee. (2013). How to erase memory traces of pain and fear. Trends in Neurosciences. 36(6). 343–352. 66 indexed citations
14.
Reichelt, Amy C. & Jonathan Lee. (2012). Over-expectation generated in a complex appetitive goal-tracking task is capable of inducing memory reconsolidation. Psychopharmacology. 226(4). 649–658. 17 indexed citations
15.
Kim, Jeongyeon, Beomjong Song, Ingie Hong, et al.. (2010). Reactivation of Fear Memory Renders Consolidated Amygdala Synapses Labile. Journal of Neuroscience. 30(28). 9631–9640. 45 indexed citations
16.
Lee, Jonathan. (2010). Memory Reconsolidation Mediates the Updating of Hippocampal Memory Content. Frontiers in Behavioral Neuroscience. 4. 168–168. 125 indexed citations
17.
Theberge, Florence, Amy Milton, David Belin, Jonathan Lee, & Barry J. Everitt. (2010). The basolateral amygdala and nucleus accumbens core mediate dissociable aspects of drug memory reconsolidation. Learning & Memory. 17(9). 444–453. 69 indexed citations
18.
Milton, Amy, Jonathan Lee, Victoria Butler, Richard J. Gardner, & Barry J. Everitt. (2008). Intra-Amygdala and Systemic Antagonism of NMDA Receptors Prevents the Reconsolidation of Drug-Associated Memory and Impairs Subsequently Both Novel and Previously Acquired Drug-Seeking Behaviors. Journal of Neuroscience. 28(33). 8230–8237. 166 indexed citations
19.
Lee, Jonathan, Patricia Di Ciano, Kerrie L. Thomas, & Barry J. Everitt. (2005). Disrupting Reconsolidation of Drug Memories Reduces Cocaine-Seeking Behavior. Neuron. 47(6). 795–801. 309 indexed citations
20.
Lee, Jonathan, Barry J. Everitt, & Kerrie L. Thomas. (2004). Independent Cellular Processes for Hippocampal Memory Consolidation and Reconsolidation. Science. 304(5672). 839–843. 638 indexed citations breakdown →

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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