Toni D. Wolinsky

982 total citations
21 papers, 771 citations indexed

About

Toni D. Wolinsky is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Endocrine and Autonomic Systems. According to data from OpenAlex, Toni D. Wolinsky has authored 21 papers receiving a total of 771 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cellular and Molecular Neuroscience, 13 papers in Molecular Biology and 5 papers in Endocrine and Autonomic Systems. Recurrent topics in Toni D. Wolinsky's work include Receptor Mechanisms and Signaling (10 papers), Neuroscience and Neuropharmacology Research (7 papers) and Neurotransmitter Receptor Influence on Behavior (7 papers). Toni D. Wolinsky is often cited by papers focused on Receptor Mechanisms and Signaling (10 papers), Neuroscience and Neuropharmacology Research (7 papers) and Neurotransmitter Receptor Influence on Behavior (7 papers). Toni D. Wolinsky collaborates with scholars based in United States, Denmark and Poland. Toni D. Wolinsky's co-authors include Kenneth D. Carr, Christophe Gerald, Chad J. Swanson, Hai Zhong, T. A. Branchek, Philip Seeman, Beth Borowsky, Douglas A. Craig, Jacob M. Hiller and Eric Simon and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Brain Research and Journal of Medicinal Chemistry.

In The Last Decade

Toni D. Wolinsky

21 papers receiving 756 citations

Peers

Toni D. Wolinsky
Richard E. Tessel United States
André Ragnauth United States
Jason A. Luther United States
Robert T. Matthews United States
Sonja J. Stutz United States
Richard E. Tessel United States
Toni D. Wolinsky
Citations per year, relative to Toni D. Wolinsky Toni D. Wolinsky (= 1×) peers Richard E. Tessel

Countries citing papers authored by Toni D. Wolinsky

Since Specialization
Citations

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

Fields of papers citing papers by Toni D. Wolinsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Toni D. Wolinsky. 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 Toni D. Wolinsky. The network helps show where Toni D. Wolinsky may publish in the future.

Co-authorship network of co-authors of Toni D. Wolinsky

This figure shows the co-authorship network connecting the top 25 collaborators of Toni D. Wolinsky. A scholar is included among the top collaborators of Toni D. Wolinsky 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 Toni D. Wolinsky. Toni D. Wolinsky 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.
Vardya, Irina, José Luis Nieto-González, Kim Boddum, et al.. (2012). Positive modulation of δ-subunit containing GABAA receptors in mouse neurons. Neuropharmacology. 63(3). 469–479. 18 indexed citations
2.
Castagné, Vincent, Toni D. Wolinsky, Leann P. Quinn, & David Virley. (2012). Differential behavioral profiling of stimulant substances in the rat using the LABORAS™ system. Pharmacology Biochemistry and Behavior. 101(4). 553–563. 13 indexed citations
3.
Packiarajan, Mathivanan, Mohammad R. Marzabadi, Stewart A. Noble, et al.. (2011). Discovery of Lu AA33810: A highly selective and potent NPY5 antagonist with in vivo efficacy in a model of mood disorder. Bioorganic & Medicinal Chemistry Letters. 21(18). 5436–5441. 11 indexed citations
4.
Dalby, Nils Ole, Toni D. Wolinsky, C. R. Murphey, et al.. (2010). Pharmacological characterization of a novel positive modulator at α4β3δ-containing extrasynaptic GABAA receptors. Neuropharmacology. 58(4-5). 702–711. 28 indexed citations
5.
Moser, Paul, Toni D. Wolinsky, Vincent Castagné, & Mark Duxon. (2010). Current approaches and issues in non-clinical evaluation of abuse and dependence. Journal of Pharmacological and Toxicological Methods. 63(2). 160–167. 15 indexed citations
6.
Moser, Paul, Toni D. Wolinsky, Mark Duxon, & Roger D. Porsolt. (2010). How Good Are Current Approaches to Nonclinical Evaluation of Abuse and Dependence?. Journal of Pharmacology and Experimental Therapeutics. 336(3). 588–595. 18 indexed citations
8.
Smith, Daniel G., Laxminarayan G. Hegde, Toni D. Wolinsky, et al.. (2008). The effects of stressful stimuli and hypothalamic–pituitary–adrenal axis activation are reversed by the melanin-concentrating hormone 1 receptor antagonist SNAP 94847 in rodents. Behavioural Brain Research. 197(2). 284–291. 37 indexed citations
10.
Jiang, Yu, Kai Lǚ, Irena Daniewska, et al.. (2007). Synthesis and SAR Investigations for Novel Melanin-Concentrating Hormone 1 Receptor (MCH1) Antagonists Part 2:  A Hybrid Strategy Combining Key Fragments of HTS Hits. Journal of Medicinal Chemistry. 50(16). 3883–3890. 11 indexed citations
11.
Wolinsky, Toni D., Chad J. Swanson, Hai Zhong, et al.. (2006). The Trace Amine 1 receptor knockout mouse: an animal model with relevance to schizophrenia. Genes Brain & Behavior. 6(7). 628–639. 185 indexed citations
12.
Swanson, Chad J., Thomas P. Blackburn, Xuexiang Zhang, et al.. (2005). Anxiolytic- and antidepressant-like profiles of the galanin-3 receptor (Gal 3 ) antagonists SNAP 37889 and SNAP 398299. Proceedings of the National Academy of Sciences. 102(48). 17489–17494. 145 indexed citations
13.
Wolinsky, Toni D., et al.. (1996). Diabetes alters μ and κ opioid binding in rat brain regions: comparison with effects of food restriction. Brain Research. 738(1). 167–171. 13 indexed citations
14.
Wolinsky, Toni D., Kenneth D. Carr, Jacob M. Hiller, & Eric Simon. (1996). Chronic food restriction alters μ and κ opioid receptor binding in the parabrachial nucleus of the rat: a quantitative autoradiographic study. Brain Research. 706(2). 333–336. 30 indexed citations
15.
Gioannini, Theresa L., et al.. (1995). Functional Reconstitution of a Highly Purified μ‐Opioid Receptor Protein with Purified G Proteins in Liposomes. Journal of Neurochemistry. 65(6). 2537–2542. 8 indexed citations
16.
Carr, Kenneth D. & Toni D. Wolinsky. (1994). Regulation of feeding by multiple opioid receptors in cingulate cortex; Follow-up to an in vivo autoradiographic study. Neuropeptides. 26(3). 207–213. 8 indexed citations
17.
Wolinsky, Toni D., Kenneth D. Carr, Jacob M. Hiller, & Eric Simon. (1994). Effects of chronic food restriction on mu and kappa opioid binding in rat forebrain: a quantitative autoradiographic study. Brain Research. 656(2). 274–280. 38 indexed citations
18.
Carr, Kenneth D., et al.. (1993). Norbinaltorphimine blocks the feeding but not the reinforcing effect of lateral hypothalamic electrical stimulation. Psychopharmacology. 111(3). 345–350. 15 indexed citations
19.
Carr, Kenneth D. & Toni D. Wolinsky. (1993). Chronic food restriction and weight loss produce opioid facilitation of perifornical hypothalamic self-stimulation. Brain Research. 607(1-2). 141–148. 66 indexed citations
20.
Sershen, Henry, Toni D. Wolinsky, Richard Douyon, et al.. (1991). The effects of electroconvulsive shock on dopamine-1 and dopamine-2 receptor ligand binding activity in MPTP-treated mice. Journal of Neuropsychiatry. 3(1). 58–63. 5 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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