Laura A. Libby

2.1k total citations
20 papers, 1.2k citations indexed

About

Laura A. Libby is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Hematology. According to data from OpenAlex, Laura A. Libby has authored 20 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cognitive Neuroscience, 8 papers in Cellular and Molecular Neuroscience and 3 papers in Hematology. Recurrent topics in Laura A. Libby's work include Memory and Neural Mechanisms (13 papers), Neuroscience and Neuropharmacology Research (7 papers) and Memory Processes and Influences (7 papers). Laura A. Libby is often cited by papers focused on Memory and Neural Mechanisms (13 papers), Neuroscience and Neuropharmacology Research (7 papers) and Memory Processes and Influences (7 papers). Laura A. Libby collaborates with scholars based in United States, United Kingdom and Japan. Laura A. Libby's co-authors include Charan Ranganath, J. Daniel Ragland, Maureen Ritchey, Arne D. Ekstrom, Deborah E. Hannula, Emrah Düzel, David Berron, Anne Maaß, Andrew P. Yonelinas and Shao-Fang Wang and has published in prestigious journals such as Science, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Laura A. Libby

19 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laura A. Libby United States 14 915 371 148 78 68 20 1.2k
Iain DeWitt United States 9 686 0.7× 129 0.3× 122 0.8× 118 1.5× 42 0.6× 11 970
Marek-Marsel Mesulam United States 14 466 0.5× 200 0.5× 123 0.8× 41 0.5× 179 2.6× 21 776
Mary A. Walker United Kingdom 16 589 0.6× 274 0.7× 224 1.5× 242 3.1× 61 0.9× 27 1.1k
Christian R.A. Mondadori Switzerland 9 428 0.5× 185 0.5× 184 1.2× 56 0.7× 199 2.9× 11 937
Maria Curtis United States 7 498 0.5× 279 0.8× 212 1.4× 238 3.1× 120 1.8× 9 1.2k
Alonso Martínez-Canabal Mexico 11 494 0.5× 446 1.2× 49 0.3× 84 1.1× 128 1.9× 18 1.2k
Nicole El Massioui France 16 394 0.4× 512 1.4× 36 0.2× 33 0.4× 45 0.7× 34 874
Gregory B. Bissonette United States 18 705 0.8× 636 1.7× 75 0.5× 18 0.2× 51 0.8× 22 1.2k
Irina Vitcu Canada 11 322 0.4× 358 1.0× 241 1.6× 138 1.8× 58 0.9× 15 922
Jonathan K. Kleen United States 15 734 0.8× 565 1.5× 499 3.4× 28 0.4× 96 1.4× 28 1.2k

Countries citing papers authored by Laura A. Libby

Since Specialization
Citations

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

Fields of papers citing papers by Laura A. Libby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura A. Libby

This figure shows the co-authorship network connecting the top 25 collaborators of Laura A. Libby. A scholar is included among the top collaborators of Laura A. Libby 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 Laura A. Libby. Laura A. Libby 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.
Dimsdale-Zucker, Halle R., et al.. (2022). Representations of Complex Contexts: A Role for Hippocampus. Journal of Cognitive Neuroscience. 35(1). 90–110. 5 indexed citations
3.
Mızrak, Eda, et al.. (2021). The hippocampus and orbitofrontal cortex jointly represent task structure during memory-guided decision making. Cell Reports. 37(9). 110065–110065. 34 indexed citations
4.
Mızrak, Eda, et al.. (2019). Representation of Task Structure in Human Hippocampus. SSRN Electronic Journal. 1 indexed citations
5.
Libby, Laura A., et al.. (2018). The Hippocampus Generalizes across Memories that Share Item and Context Information. Journal of Cognitive Neuroscience. 31(1). 24–35. 27 indexed citations
6.
Libby, Laura A., et al.. (2018). Dynamic integration of conceptual information during learning. PLoS ONE. 13(11). e0207357–e0207357. 3 indexed citations
7.
Roberts, Brooke M., et al.. (2017). Brain activity related to working memory for temporal order and object information. Behavioural Brain Research. 354. 55–63. 31 indexed citations
8.
Wang, Shao-Fang, Maureen Ritchey, Laura A. Libby, & Charan Ranganath. (2016). Functional connectivity based parcellation of the human medial temporal lobe. Neurobiology of Learning and Memory. 134. 123–134. 48 indexed citations
9.
Ritchey, Maureen, Laura A. Libby, & Charan Ranganath. (2015). Cortico-hippocampal systems involved in memory and cognition. Progress in brain research. 219. 45–64. 194 indexed citations
10.
Maaß, Anne, David Berron, Laura A. Libby, Charan Ranganath, & Emrah Düzel. (2015). Functional subregions of the human entorhinal cortex. eLife. 4. 180 indexed citations
11.
Cook, Peter F., Colleen Reichmuth, Andrew A. Rouse, et al.. (2015). Algal toxin impairs sea lion memory and hippocampal connectivity, with implications for strandings. Science. 350(6267). 1545–1547. 68 indexed citations
12.
Libby, Laura A., Deborah E. Hannula, & Charan Ranganath. (2014). Medial Temporal Lobe Coding of Item and Spatial Information during Relational Binding in Working Memory. Journal of Neuroscience. 34(43). 14233–14242. 85 indexed citations
13.
Copara, Milagros S., et al.. (2014). Complementary Roles of Human Hippocampal Subregions during Retrieval of Spatiotemporal Context. Journal of Neuroscience. 34(20). 6834–6842. 68 indexed citations
14.
Hannula, Deborah E., Laura A. Libby, Andrew P. Yonelinas, & Charan Ranganath. (2013). Medial temporal lobe contributions to cued retrieval of items and contexts. Neuropsychologia. 51(12). 2322–2332. 48 indexed citations
15.
Libby, Laura A., Arne D. Ekstrom, J. Daniel Ragland, & Charan Ranganath. (2012). Differential Connectivity of Perirhinal and Parahippocampal Cortices within Human Hippocampal Subregions Revealed by High-Resolution Functional Imaging. Journal of Neuroscience. 32(19). 6550–6560. 229 indexed citations
16.
Libby, Laura A., Andrew P. Yonelinas, Charan Ranganath, & J. Daniel Ragland. (2012). Recollection and Familiarity in Schizophrenia: A Quantitative Review. Biological Psychiatry. 73(10). 944–950. 50 indexed citations
17.
Libby, Laura A. & J. Daniel Ragland. (2011). fMRI as a Measure of Cognition Related Brain Circuitry in Schizophrenia. Current topics in behavioral neurosciences. 11. 253–267. 7 indexed citations
18.
Egbertson, Melissa S., Jacquelynn J. Cook, Bohumil Bednář, et al.. (1999). Non-Peptide GPIIb/IIIa Inhibitors. 20. Centrally Constrained Thienothiophene α-Sulfonamides Are Potent, Long Acting in Vivo Inhibitors of Platelet Aggregation. Journal of Medicinal Chemistry. 42(19). 4014–4014. 2 indexed citations
19.
Egbertson, Melissa S., Jacquelynn J. Cook, Bohumil Bednář, et al.. (1999). Non-Peptide GPIIb/IIIa Inhibitors. 20. Centrally Constrained Thienothiophene α-Sulfonamides Are Potent, Long Acting in Vivo Inhibitors of Platelet Aggregation. Journal of Medicinal Chemistry. 42(13). 2409–2421. 41 indexed citations
20.
Egbertson, Melissa S., George D. Hartman, R J Gould, et al.. (1996). Nonpeptide GPIIb/IIIa inhibitors. 10. Centrally constrained alpha-sulfonamides are potent inhibitors of platelet aggregation. Bioorganic & Medicinal Chemistry Letters. 6(21). 2519–2524. 34 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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