John W. Swann

6.5k total citations
127 papers, 5.1k citations indexed

About

John W. Swann is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, John W. Swann has authored 127 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Cellular and Molecular Neuroscience, 44 papers in Molecular Biology and 40 papers in Cognitive Neuroscience. Recurrent topics in John W. Swann's work include Neuroscience and Neuropharmacology Research (83 papers), Epilepsy research and treatment (30 papers) and Memory and Neural Mechanisms (23 papers). John W. Swann is often cited by papers focused on Neuroscience and Neuropharmacology Research (83 papers), Epilepsy research and treatment (30 papers) and Memory and Neural Mechanisms (23 papers). John W. Swann collaborates with scholars based in United States, United Kingdom and Spain. John W. Swann's co-authors include Karen L. Smith, Robert J. Brady, Minghui Jiang, Chong L. Lee, Trang T. Lam, Anthony A. Oliva, Hongmei Chen, David O. Carpenter, Richard A. Hrachovy and Holger Wigström and has published in prestigious journals such as Nature, Science and Neuron.

In The Last Decade

John W. Swann

124 papers receiving 5.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John W. Swann United States 39 3.5k 1.8k 1.6k 1.1k 639 127 5.1k
Paul S. Buckmaster United States 44 4.7k 1.4× 1.7k 0.9× 2.1k 1.4× 1.5k 1.4× 397 0.6× 89 6.0k
Monique Esclapez France 36 4.3k 1.2× 1.7k 1.0× 2.1k 1.3× 945 0.8× 277 0.4× 58 5.3k
John J. Hablitz United States 44 4.6k 1.3× 2.7k 1.5× 2.1k 1.3× 799 0.7× 295 0.5× 131 5.5k
Anne E. Anderson United States 33 2.5k 0.7× 2.8k 1.6× 668 0.4× 659 0.6× 612 1.0× 73 4.7k
Fernando H. Lopes da Silva Netherlands 37 3.2k 0.9× 1.3k 0.7× 2.4k 1.5× 1.2k 1.1× 190 0.3× 95 4.8k
Claudio Rivera Finland 40 6.2k 1.8× 4.3k 2.4× 1.6k 1.0× 871 0.8× 537 0.8× 85 8.6k
Tim A. Benke United States 33 2.0k 0.6× 1.7k 1.0× 1.3k 0.8× 695 0.6× 1.4k 2.1× 132 4.2k
Alfonso Represa France 48 5.7k 1.6× 3.3k 1.8× 1.9k 1.2× 1.1k 1.0× 632 1.0× 123 8.7k
Enrico Cherubini Italy 49 7.8k 2.3× 4.7k 2.6× 3.0k 1.9× 655 0.6× 671 1.1× 206 9.9k
Antoine Depaulis France 61 8.2k 2.4× 3.2k 1.8× 3.4k 2.2× 3.2k 2.9× 555 0.9× 180 11.5k

Countries citing papers authored by John W. Swann

Since Specialization
Citations

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

Fields of papers citing papers by John W. Swann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John W. Swann. 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 John W. Swann. The network helps show where John W. Swann may publish in the future.

Co-authorship network of co-authors of John W. Swann

This figure shows the co-authorship network connecting the top 25 collaborators of John W. Swann. A scholar is included among the top collaborators of John W. Swann 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 John W. Swann. John W. Swann 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.
Le, John T., et al.. (2024). IGF-1 impacts neocortical interneuron connectivity in epileptic spasm generation and resolution. Neurotherapeutics. 22(1). e00477–e00477. 2 indexed citations
2.
Schultz, Rebecca, Elaine Seto, William J. Craigen, et al.. (2023). PAK1 c.1409 T > a (p. Leu470Gln) de novo variant affects the protein kinase domain, leading to epilepsy, macrocephaly, spastic quadriplegia, and hydrocephalus: Case report and review of the literature. American Journal of Medical Genetics Part A. 191(6). 1619–1625. 4 indexed citations
3.
Sztainberg, Yehezkel, Hongmei Chen, John W. Swann, et al.. (2015). Reversal of phenotypes in MECP2 duplication mice using genetic rescue or antisense oligonucleotides. Nature. 528(7580). 123–126. 149 indexed citations
4.
Frost, James D., et al.. (2015). Vigabatrin therapy implicates neocortical high frequency oscillations in an animal model of infantile spasms. Neurobiology of Disease. 82. 1–11. 24 indexed citations
5.
Lugo, Joaquín N., John W. Swann, & Anne E. Anderson. (2014). Early-life seizures result in deficits in social behavior and learning. Experimental Neurology. 256. 74–80. 57 indexed citations
6.
Frost, James D., Chong L. Lee, Richard A. Hrachovy, & John W. Swann. (2011). High frequency EEG activity associated with ictal events in an animal model of infantile spasms. Epilepsia. 52(1). 53–62. 33 indexed citations
7.
Jacobs, Margaret, Gabrielle G. Leblanc, Amy R. Brooks‐Kayal, et al.. (2009). Curing epilepsy: Progress and future directions. Epilepsy & Behavior. 14(3). 438–445. 97 indexed citations
8.
Swann, John W.. (2007). The French Navy and the Seven Years' War. The English Historical Review. CXXII(497). 833–834.
9.
Swann, John W.. (2007). Disgrace without Dishonour: The Internal Exile of French Magistrates in the Eighteenth Century. Past & Present. 195(1). 87–126. 1 indexed citations
10.
Benke, Tim A. & John W. Swann. (2004). The Tetanus Toxin Model of Chronic Epilepsy. Advances in experimental medicine and biology. 548. 226–238. 16 indexed citations
11.
Wenzel, J, Kelly T. Dineley, Trang T. Lam, et al.. (2003). Postsynaptic contributions to hippocampal network hyperexcitability induced by chronic activity blockade in vivo. European Journal of Neuroscience. 18(7). 1861–1872. 33 indexed citations
12.
Swann, John W., Salwa Al‐Noori, Minghui Jiang, & Chong L. Lee. (2000). Spine loss and other dendritic abnormalities in epilepsy. Hippocampus. 10(5). 617–625. 214 indexed citations
13.
Dodson, Alan, et al.. (1999). Hybrid GPS + GLONASS. GPS Solutions. 3(1). 32–41. 17 indexed citations
14.
15.
McNeil, Robert S., John W. Swann, B. R. Brinkley, & Gary Clark. (1999). Neuronal cytoskeletal alterations evoked by a platelet-activating factor (PAF) analogue. Cell Motility and the Cytoskeleton. 43(2). 99–113. 17 indexed citations
16.
Clark, Gary, Robert S. McNeil, Gregory Bix, & John W. Swann. (1995). Platelet-activating factor produces neuronal growth cone collapse. Neuroreport. 6(18). 2569–2575. 33 indexed citations
17.
Brady, Robert J., Karen L. Smith, & John W. Swann. (1991). Calcium modulation of the (NMDA) response and electrographic seizures in immature hippocampus. Neuroscience Letters. 124(1). 92–96. 20 indexed citations
18.
Deitch, Jeffrey S., Karen L. Smith, John W. Swann, & James N. Turner. (1990). Parameters affecting imaging of the horseradish‐peroxidase‐diaminobenzidine reaction product in the confocal scanning laser microscope. Journal of Microscopy. 160(3). 265–278. 23 indexed citations
19.
Swann, John W., Karen L. Smith, & Robert J. Brady. (1986). Extracellular K+ accumulation during penicillin-induced epileptogenesis in the CA3 region of immature rat hippocampus. Developmental Brain Research. 30(2). 243–255. 39 indexed citations
20.
Swann, John W., Robert J. Brady, Richard J. Friedman, & Emily J. Smith. (1986). The dendritic origins of penicillin-induced epileptogenesis in CA3 hippocampal pyramidal cells. Journal of Neurophysiology. 56(6). 1718–1738. 45 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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