J. David Sweatt

44.6k total citations · 14 hit papers
227 papers, 35.0k citations indexed

About

J. David Sweatt is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, J. David Sweatt has authored 227 papers receiving a total of 35.0k indexed citations (citations by other indexed papers that have themselves been cited), including 162 papers in Molecular Biology, 108 papers in Cellular and Molecular Neuroscience and 55 papers in Genetics. Recurrent topics in J. David Sweatt's work include Neuroscience and Neuropharmacology Research (88 papers), Epigenetics and DNA Methylation (55 papers) and Genetics and Neurodevelopmental Disorders (54 papers). J. David Sweatt is often cited by papers focused on Neuroscience and Neuropharmacology Research (88 papers), Epigenetics and DNA Methylation (55 papers) and Genetics and Neurodevelopmental Disorders (54 papers). J. David Sweatt collaborates with scholars based in United States, Germany and United Kingdom. J. David Sweatt's co-authors include Courtney A. Miller, Jonathan M. Levenson, Tania L. Roth, Farah D. Lubin, Jeremy J. Day, Edwin J. Weeber, Coleen M. Atkins, J. Paige Adams, Joel C. Selcher and Kelly T. Dineley and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

J. David Sweatt

227 papers receiving 34.4k citations

Hit Papers

The neuronal MAP kinase c... 1997 2026 2006 2016 2001 1998 2009 2004 2007 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
J. David Sweatt 20.3k 14.3k 7.7k 6.4k 4.6k 227 35.0k
Paul Worley 19.4k 1.0× 21.3k 1.5× 4.2k 0.5× 8.0k 1.3× 3.3k 0.7× 273 37.1k
Rachael L. Neve 20.1k 1.0× 16.8k 1.2× 3.9k 0.5× 5.7k 0.9× 9.4k 2.1× 361 37.8k
Alcino J. Silva 12.5k 0.6× 15.7k 1.1× 4.1k 0.5× 10.5k 1.7× 2.7k 0.6× 234 29.5k
Morgan Sheng 32.9k 1.6× 29.8k 2.1× 5.1k 0.7× 6.5k 1.0× 6.9k 1.5× 257 56.0k
Jacqueline N. Crawley 14.5k 0.7× 15.2k 1.1× 8.5k 1.1× 10.7k 1.7× 3.6k 0.8× 329 36.5k
Richard L. Huganir 30.8k 1.5× 37.0k 2.6× 3.4k 0.4× 9.3k 1.5× 5.7k 1.2× 386 52.4k
Alessandro Guidotti 11.9k 0.6× 13.6k 1.0× 3.2k 0.4× 3.0k 0.5× 2.7k 0.6× 400 26.6k
Shigetada Nakanishi 29.5k 1.5× 30.6k 2.1× 2.6k 0.3× 4.7k 0.7× 5.0k 1.1× 344 47.2k
Joseph T. Coyle 18.9k 0.9× 25.2k 1.8× 2.0k 0.3× 7.2k 1.1× 5.7k 1.3× 423 44.5k
Günther Schütz 19.6k 1.0× 7.9k 0.6× 10.4k 1.4× 2.0k 0.3× 3.9k 0.9× 261 38.9k

Countries citing papers authored by J. David Sweatt

Since Specialization
Citations

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

Fields of papers citing papers by J. David Sweatt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. David Sweatt. 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 J. David Sweatt. The network helps show where J. David Sweatt may publish in the future.

Co-authorship network of co-authors of J. David Sweatt

This figure shows the co-authorship network connecting the top 25 collaborators of J. David Sweatt. A scholar is included among the top collaborators of J. David Sweatt 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 J. David Sweatt. J. David Sweatt 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.
Greer, Celeste B., Joscha Weiss, Roman M. Lazarenko, et al.. (2020). Tet1 Isoforms Differentially Regulate Gene Expression, Synaptic Transmission, and Memory in the Mammalian Brain. Journal of Neuroscience. 41(4). 578–593. 27 indexed citations
2.
Duke, Corey G., Andrew Kennedy, Cristin F. Gavin, Jeremy J. Day, & J. David Sweatt. (2017). Experience-dependent epigenomic reorganization in the hippocampus. Learning & Memory. 24(7). 278–288. 44 indexed citations
3.
Sweatt, J. David. (2017). Layered-up regulation in the developing brain. Nature. 551(7681). 448–449. 3 indexed citations
4.
Sweatt, J. David. (2016). Neural plasticity and behavior – sixty years of conceptual advances. Journal of Neurochemistry. 139(S2). 179–199. 217 indexed citations
5.
Zovkic, Iva B., et al.. (2014). Histone H2A.Z subunit exchange controls consolidation of recent and remote memory. Nature. 515(7528). 582–586. 122 indexed citations
6.
Sweatt, J. David. (2013). The Emerging Field of Neuroepigenetics. Neuron. 80(3). 624–632. 220 indexed citations
7.
Miller, Courtney A. & J. David Sweatt. (2008). Covalent Modification of DNA Regulates Memory Formation. Neuron. 59(6). 1051–1051. 31 indexed citations
8.
Chwang, Wilson B., J. Simon C. Arthur, Armin Schumacher, & J. David Sweatt. (2007). The Nuclear Kinase Mitogen- and Stress-Activated Protein Kinase 1 Regulates Hippocampal Chromatin Remodeling in Memory Formation. Journal of Neuroscience. 27(46). 12732–12742. 187 indexed citations
9.
Moretti, Paolo, Jonathan M. Levenson, Fortunato Battaglia, et al.. (2006). Learning and Memory and Synaptic Plasticity Are Impaired in a Mouse Model of Rett Syndrome. Journal of Neuroscience. 26(1). 319–327. 427 indexed citations
10.
Shalin, Sara C., Caterina M. Hernandez, M. K. Dougherty, Deborah K. Morrison, & J. David Sweatt. (2006). Kinase Suppressor of Ras1 Compartmentalizes Hippocampal Signal Transduction and Subserves Synaptic Plasticity and Memory Formation. Neuron. 50(5). 765–779. 75 indexed citations
11.
Schrader, Laura A., et al.. (2005). ERK/MAPK regulates the Kv4.2 potassium channel by direct phosphorylation of the pore-forming subunit. American Journal of Physiology-Cell Physiology. 290(3). C852–C861. 146 indexed citations
12.
Beffert, Uwe, Edwin J. Weeber, Gerardo Morfini, et al.. (2004). Reelin and Cyclin-Dependent Kinase 5-Dependent Signals Cooperate in Regulating Neuronal Migration and Synaptic Transmission. Journal of Neuroscience. 24(8). 1897–1906. 87 indexed citations
13.
Watase, Kei, Edwin J. Weeber, Bisong Xu, et al.. (2002). A Long CAG Repeat in the Mouse Sca1 Locus Replicates SCA1 Features and Reveals the Impact of Protein Solubility on Selective Neurodegeneration. Neuron. 34(6). 905–919. 263 indexed citations
14.
Weeber, Edwin J. & J. David Sweatt. (2002). Molecular Neurobiology of Human Cognition. Neuron. 33(6). 845–848. 110 indexed citations
15.
Sweatt, J. David. (2001). Memory mechanisms: The yin and yang of protein phosphorylation. Current Biology. 11(10). R391–R394. 33 indexed citations
16.
Sweatt, J. David. (2001). Protooncogenes Subserve Memory Formation in the Adult CNS. Neuron. 31(5). 671–674. 22 indexed citations
17.
Sweatt, J. David. (1999). Toward a Molecular Explanation for Long-Term Potentiation. Learning & Memory. 6(5). 399–416. 145 indexed citations
18.
Matilla‐Dueñas, Antoni, Erik D. Roberson, Sandro Banfi, et al.. (1998). Mice Lacking Ataxin-1 Display Learning Deficits and Decreased Hippocampal Paired-Pulse Facilitation. Journal of Neuroscience. 18(14). 5508–5516. 167 indexed citations
19.
Roberson, Erik D. & J. David Sweatt. (1996). Transient Activation of Cyclic AMP-dependent Protein Kinase during Hippocampal Long-term Potentiation. Journal of Biological Chemistry. 271(48). 30436–30441. 130 indexed citations
20.
Chetkovich, Dane M., et al.. (1993). Nitric oxide synthase-independent long-term potentiation in area CA1 of hippocampus. Neuroreport. 4(7). 919–922. 112 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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