David S. Tukey

624 total citations
8 papers, 503 citations indexed

About

David S. Tukey is a scholar working on Cellular and Molecular Neuroscience, Physiology and Molecular Biology. According to data from OpenAlex, David S. Tukey has authored 8 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 3 papers in Physiology and 2 papers in Molecular Biology. Recurrent topics in David S. Tukey's work include Neuroscience and Neuropharmacology Research (7 papers), Neurotransmitter Receptor Influence on Behavior (3 papers) and Pain Mechanisms and Treatments (2 papers). David S. Tukey is often cited by papers focused on Neuroscience and Neuropharmacology Research (7 papers), Neurotransmitter Receptor Influence on Behavior (3 papers) and Pain Mechanisms and Treatments (2 papers). David S. Tukey collaborates with scholars based in United States, Germany and Slovakia. David S. Tukey's co-authors include Edward B. Ziff, Jing Wang, Yossef Goffer, Gerald A. Rameau, Elizabeth D. Getzoff, Elsa D. Garcin, Charu Misra, Latika Khatri, Thomas J. J. Blanck and Duo Xu and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and Neuroscience.

In The Last Decade

David S. Tukey

8 papers receiving 494 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David S. Tukey United States	8	253	247	117	93	81	8	503
Gisela Borges Spain	9	256 1.0×	207 0.8×	85 0.7×	73 0.8×	81 1.0×	10	451
Ryan D. Shepard United States	14	148 0.6×	358 1.4×	162 1.4×	60 0.6×	127 1.6×	17	569
Abdennacer Boudah United States	5	242 1.0×	171 0.7×	65 0.6×	55 0.6×	44 0.5×	7	423
José Luís Arcaya Venezuela	11	317 1.3×	138 0.6×	70 0.6×	80 0.9×	109 1.3×	17	548
Igor Horrillo Spain	9	170 0.7×	227 0.9×	87 0.7×	75 0.8×	119 1.5×	23	489
Füruzan Akar Türkiye	15	144 0.6×	233 0.9×	157 1.3×	74 0.8×	128 1.6×	40	631
Attilio Iemolo United States	12	115 0.5×	288 1.2×	128 1.1×	60 0.6×	105 1.3×	18	520
Meritxell Llorca-Torralba Spain	13	492 1.9×	353 1.4×	156 1.3×	99 1.1×	109 1.3×	21	757
Cristina Alba‐Delgado Spain	12	380 1.5×	242 1.0×	108 0.9×	72 0.8×	97 1.2×	14	495
I. Roth‐Deri Israel	11	134 0.5×	309 1.3×	158 1.4×	37 0.4×	59 0.7×	11	507

Countries citing papers authored by David S. Tukey

Since Specialization

Citations

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

Fields of papers citing papers by David S. Tukey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David S. Tukey

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

All Works

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8 of 8 papers shown

Vunck, Sarah A., Natasha N. Tirko, David S. Tukey, et al.. (2014). cGMP-dependent protein kinase type II knockout mice exhibit working memory impairments, decreased repetitive behavior, and increased anxiety-like traits. Neurobiology of Learning and Memory. 114. 32–39. 19 indexed citations

Tukey, David S. & Edward B. Ziff. (2013). Ca2+-permeable AMPA (α-Amino-3-hydroxy-5-methyl-4-isoxazolepropionic Acid) Receptors and Dopamine D1 Receptors Regulate GluA1 Trafficking in Striatal Neurons. Journal of Biological Chemistry. 288(49). 35297–35306. 20 indexed citations

Goffer, Yossef, Duo Xu, James A. D’amour, et al.. (2013). Calcium-Permeable AMPA Receptors in the Nucleus Accumbens Regulate Depression-Like Behaviors in the Chronic Neuropathic Pain State. Journal of Neuroscience. 33(48). 19034–19044. 114 indexed citations

Tukey, David S., Michelle Lee, Duo Xu, et al.. (2013). Differential effects of natural rewards and pain on vesicular glutamate transporter expression in the nucleus accumbens. Molecular Brain. 6(1). 32–32. 16 indexed citations

Kim, Seonil, David S. Tukey, Joseph Pick, et al.. (2012). Spatial memory deficits and motor coordination facilitation in cGMP-dependent protein kinase type II-deficient mice. Neurobiology of Learning and Memory. 99. 32–37. 16 indexed citations

Wang, Jing, Yossef Goffer, Duo Xu, et al.. (2011). A Single Subanesthetic Dose of Ketamine Relieves Depression-like Behaviors Induced by Neuropathic Pain in Rats. Anesthesiology. 115(4). 812–821. 144 indexed citations

Carr, Kenneth D., Lily Chau, Soledad Cabeza de Vaca, et al.. (2009). AMPA receptor subunit GluR1 downstream of D-1 dopamine receptor stimulation in nucleus accumbens shell mediates increased drug reward magnitude in food-restricted rats. Neuroscience. 165(4). 1074–1086. 41 indexed citations

Rameau, Gerald A., David S. Tukey, Elsa D. Garcin, et al.. (2007). Biphasic Coupling of Neuronal Nitric Oxide Synthase Phosphorylation to the NMDA Receptor Regulates AMPA Receptor Trafficking and Neuronal Cell Death. Journal of Neuroscience. 27(13). 3445–3455. 133 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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