Sam A. Deadwyler

11.0k total citations
172 papers, 8.5k citations indexed

About

Sam A. Deadwyler is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Sam A. Deadwyler has authored 172 papers receiving a total of 8.5k indexed citations (citations by other indexed papers that have themselves been cited), including 144 papers in Cellular and Molecular Neuroscience, 120 papers in Cognitive Neuroscience and 29 papers in Molecular Biology. Recurrent topics in Sam A. Deadwyler's work include Neuroscience and Neuropharmacology Research (119 papers), Memory and Neural Mechanisms (70 papers) and Neural dynamics and brain function (67 papers). Sam A. Deadwyler is often cited by papers focused on Neuroscience and Neuropharmacology Research (119 papers), Memory and Neural Mechanisms (70 papers) and Neural dynamics and brain function (67 papers). Sam A. Deadwyler collaborates with scholars based in United States, United Kingdom and Germany. Sam A. Deadwyler's co-authors include Robert E. Hampson, Gary Lynch, Steven R. Childers, Theodore W. Berger, Vasilis Z. Marmarelis, Dong Song, John H. Robinson, Mark O. West, Carl W. Cotman and Charles J. Heyser and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Sam A. Deadwyler

170 papers receiving 8.2k citations

Peers

Sam A. Deadwyler
Robert E. Hampson United States
Scott M. Thompson United States
Bradley E. Alger United States
Iván Soltész United States
Anatol C. Kreitzer United States
Ole Paulsen United Kingdom
Robert E. Hampson United States
Sam A. Deadwyler
Citations per year, relative to Sam A. Deadwyler Sam A. Deadwyler (= 1×) peers Robert E. Hampson

Countries citing papers authored by Sam A. Deadwyler

Since Specialization
Citations

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

Fields of papers citing papers by Sam A. Deadwyler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sam A. Deadwyler

This figure shows the co-authorship network connecting the top 25 collaborators of Sam A. Deadwyler. A scholar is included among the top collaborators of Sam A. Deadwyler 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 Sam A. Deadwyler. Sam A. Deadwyler 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.
Wicks, Robert T., Mark R. Witcher, Daniel E. Couture, et al.. (2020). Hippocampal CA1 and CA3 neural recording in the human brain: validation of depth electrode placement through high-resolution imaging and electrophysiology. Neurosurgical FOCUS. 49(1). E5–E5. 5 indexed citations
2.
Sandler, Roman, et al.. (2017). Cannabinoids disrupt memory encoding by functionally isolating hippocampal CA1 from CA3. PLoS Computational Biology. 13(7). e1005624–e1005624. 7 indexed citations
3.
Deadwyler, Sam A., Robert E. Hampson, Dong Song, et al.. (2016). A cognitive prosthesis for memory facilitation by closed-loop functional ensemble stimulation of hippocampal neurons in primate brain. Experimental Neurology. 287(Pt 4). 452–460. 33 indexed citations
4.
Sandler, Roman, Dong Song, Robert E. Hampson, et al.. (2014). Model-based asessment of an in-vivo predictive relationship from CA1 to CA3 in the rodent hippocampus. Journal of Computational Neuroscience. 38(1). 89–103. 14 indexed citations
5.
Opriş, Ioan, et al.. (2014). Multifractal analysis of information processing in hippocampal neural ensembles during working memory under Δ9-tetrahydrocannabinol administration. Journal of Neuroscience Methods. 244. 136–153. 10 indexed citations
6.
Hampson, Robert E., Dongkyu Shin, Greg A. Gerhardt, et al.. (2011). Restorative encoding memory integrative neural device: “REMIND”. PubMed. 16. 3338–3341. 1 indexed citations
7.
Zanos, Theodoros P., Spiros H. Courellis, Robert E. Hampson, et al.. (2006). A multi-input modeling approach to quantify hippocampal nonlinear dynamic transformations. PubMed. 402. 4967–4970. 6 indexed citations
8.
Hampson, Robert E., Tim P. Pons, Terrence R. Stanford, & Sam A. Deadwyler. (2004). Categorization in the monkey hippocampus: A possible mechanism for encoding information into memory. Proceedings of the National Academy of Sciences. 101(9). 3184–3189. 85 indexed citations
9.
Deadwyler, Sam A. & Robert E. Hampson. (2004). Differential but Complementary Mnemonic Functions of the Hippocampus and Subiculum. Neuron. 42(3). 465–476. 101 indexed citations
10.
Hampson, Robert E. & Sam A. Deadwyler. (2003). Temporal firing characteristics and the strategic role of subicular neurons in short‐term memory. Hippocampus. 13(4). 529–541. 35 indexed citations
11.
Mu, Jing, Shou-yuan Zhuang, Robert E. Hampson, & Sam A. Deadwyler. (2000). Protein kinase-dependent phosphorylation and cannabinoid receptor modulation of potassium A current (I A) in cultured rat hippocampal neurons. Pflügers Archiv - European Journal of Physiology. 439(5). 541–546. 19 indexed citations
12.
Hampson, Robert E., John D. Simeral, & Sam A. Deadwyler. (1999). Distribution of spatial and nonspatial information in dorsal hippocampus. Nature. 402(6762). 610–614. 237 indexed citations
13.
Breivogel, C. S., Steven R. Childers, Sam A. Deadwyler, et al.. (1999). Chronic ▵9‐Tetrahydrocannabinol Treatment Produces a Time‐Dependent Loss of Cannabinoid Receptors and Cannabinoid Receptor‐Activated G Proteins in Rat Brain. Journal of Neurochemistry. 73(6). 2447–2459. 237 indexed citations
14.
Grigorenko, Elena, William L. Bell, Steven S. Glazier, Tim P. Pons, & Sam A. Deadwyler. (1998). Editing status at the Q/R site of the GluR2 and GluR6 glutamate receptor subunits in the surgically excised hippocampus of patients with refractory epilepsy. Neuroreport. 9(10). 2219–2224. 52 indexed citations
15.
Grigorenko, Elena, Steven S. Glazier, W. Bell, et al.. (1997). Changes in glutamate receptor subunit composition in hippocampus and cortex in patients with refractory epilepsy. Journal of the Neurological Sciences. 153(1). 35–45. 40 indexed citations
16.
Granger, Richard, Sam A. Deadwyler, Mike Davis, et al.. (1996). Facilitation of glutamate receptors reverses an age-associated memory impairment in rats. Synapse. 22(4). 332–337. 83 indexed citations
17.
Hampson, Robert E., Charles J. Heyser, & Sam A. Deadwyler. (1993). Hippocampal cell firing correlates of delayed-match-to-sample performance in the rat.. Behavioral Neuroscience. 107(5). 715–739. 158 indexed citations
18.
Landfield, Philip W. & Sam A. Deadwyler. (1988). Long-term potentiation : from biophysics to behavior. 191 indexed citations
19.
Matthews, Brian L., et al.. (1988). Rotational stimulation disrupts spatial learning in fornix-lesioned rats.. Behavioral Neuroscience. 102(1). 35–42. 29 indexed citations
20.
Deadwyler, Sam A., et al.. (1987). A critical level of protein synthesis is required for long‐term potentiation. Synapse. 1(1). 90–95. 64 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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