Sean C. Lim

1.4k total citations
9 papers, 927 citations indexed

About

Sean C. Lim is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Pharmacology. According to data from OpenAlex, Sean C. Lim has authored 9 papers receiving a total of 927 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 4 papers in Cognitive Neuroscience and 3 papers in Pharmacology. Recurrent topics in Sean C. Lim's work include Memory and Neural Mechanisms (4 papers), Stress Responses and Cortisol (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). Sean C. Lim is often cited by papers focused on Memory and Neural Mechanisms (4 papers), Stress Responses and Cortisol (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). Sean C. Lim collaborates with scholars based in United States, Portugal and Japan. Sean C. Lim's co-authors include Christine A. Denny, Frances A. Champagne, Kathryn Gudsnuk, Marija Kundaković, Michael R. Drew, René Hen, Josephine C. McGowan, Rebecca A. Brachman, James P. Curley and Becca Franks and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

Sean C. Lim

9 papers receiving 924 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sean C. Lim United States 8 374 335 315 223 193 9 927
Bill P. Godsil France 15 523 1.4× 547 1.6× 387 1.2× 175 0.8× 205 1.1× 19 1.1k
Santiago Monleón Spain 17 339 0.9× 220 0.7× 281 0.9× 170 0.8× 225 1.2× 40 894
Stacy M. Ku United States 10 638 1.7× 273 0.8× 430 1.4× 268 1.2× 241 1.2× 14 1.3k
Fernando Benetti Brazil 22 301 0.8× 294 0.9× 362 1.1× 115 0.5× 374 1.9× 28 1.1k
Eun Joo Kim United States 13 256 0.7× 400 1.2× 403 1.3× 107 0.5× 311 1.6× 27 1.0k
Nadja Freund Germany 20 258 0.7× 326 1.0× 232 0.7× 173 0.8× 261 1.4× 52 1.0k
Paul V. Strong United States 12 365 1.0× 215 0.6× 369 1.2× 93 0.4× 185 1.0× 13 888
Hannah M. Cates United States 18 419 1.1× 157 0.5× 426 1.4× 303 1.4× 245 1.3× 25 1.3k
Carolyn Graybeal United States 13 504 1.3× 401 1.2× 315 1.0× 140 0.6× 190 1.0× 17 989
Nathan S. Pentkowski United States 22 860 2.3× 447 1.3× 425 1.3× 132 0.6× 480 2.5× 44 1.5k

Countries citing papers authored by Sean C. Lim

Since Specialization
Citations

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

Fields of papers citing papers by Sean C. Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sean C. Lim. 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 Sean C. Lim. The network helps show where Sean C. Lim may publish in the future.

Co-authorship network of co-authors of Sean C. Lim

This figure shows the co-authorship network connecting the top 25 collaborators of Sean C. Lim. A scholar is included among the top collaborators of Sean C. Lim 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 Sean C. Lim. Sean C. Lim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
McGowan, Josephine C., Christina T. LaGamma, Sean C. Lim, et al.. (2024). GluN2B on Adult-Born Granule Cells Modulates (R,S)-Ketamine’s Rapid-Acting Effects in Mice. The International Journal of Neuropsychopharmacology. 27(10). 2 indexed citations
2.
Jimenez, Jessica, et al.. (2020). Contextual fear memory retrieval by correlated ensembles of ventral CA1 neurons. Nature Communications. 11(1). 3492–3492. 85 indexed citations
3.
Lacagnina, Anthony F., Emma T. Brockway, Francis Shue, et al.. (2019). Distinct hippocampal engrams control extinction and relapse of fear memory. Nature Neuroscience. 22(5). 753–761. 186 indexed citations
4.
McGowan, Josephine C., Christina T. LaGamma, Sean C. Lim, et al.. (2017). Prophylactic Ketamine Attenuates Learned Fear. Neuropsychopharmacology. 42(8). 1577–1589. 77 indexed citations
5.
Lim, Sean C., et al.. (2017). Optogenetic stimulation of dentate gyrus engrams restores memory in Alzheimer's disease mice. Hippocampus. 27(10). 1110–1122. 70 indexed citations
6.
Franks, Becca, et al.. (2015). A Social Network Approach Reveals Associations between Mouse Social Dominance and Brain Gene Expression. PLoS ONE. 10(7). e0134509–e0134509. 99 indexed citations
7.
Seo, Dong-oh, et al.. (2015). Adult Hippocampal Neurogenesis Modulates Fear Learning through Associative and Nonassociative Mechanisms. Journal of Neuroscience. 35(32). 11330–11345. 66 indexed citations
8.
Brachman, Rebecca A., Josephine C. McGowan, Sean C. Lim, et al.. (2015). Ketamine as a Prophylactic Against Stress-Induced Depressive-like Behavior. Biological Psychiatry. 79(9). 776–786. 201 indexed citations
9.
Kundaković, Marija, Sean C. Lim, Kathryn Gudsnuk, & Frances A. Champagne. (2013). Sex-Specific and Strain-Dependent Effects of Early Life Adversity on Behavioral and Epigenetic Outcomes. Frontiers in Psychiatry. 4. 78–78. 141 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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