Charles E. Spivak

1.4k total citations
34 papers, 1.1k citations indexed

About

Charles E. Spivak is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pharmacology. According to data from OpenAlex, Charles E. Spivak has authored 34 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 19 papers in Cellular and Molecular Neuroscience and 4 papers in Pharmacology. Recurrent topics in Charles E. Spivak's work include Receptor Mechanisms and Signaling (14 papers), Neuroscience and Neuropharmacology Research (10 papers) and Pluripotent Stem Cells Research (7 papers). Charles E. Spivak is often cited by papers focused on Receptor Mechanisms and Signaling (14 papers), Neuroscience and Neuropharmacology Research (10 papers) and Pluripotent Stem Cells Research (7 papers). Charles E. Spivak collaborates with scholars based in United States, Sweden and Germany. Charles E. Spivak's co-authors include Edythe D. London, Maria Dorota Majewska, Carl R. Lupica, Murat Öz, William J. Freed, Alexander F. Hoffman, Tandis Vazin, George R. Uhl, Li Zhang and Jia Chen and has published in prestigious journals such as PLoS ONE, Analytical Biochemistry and Brain Research.

In The Last Decade

Charles E. Spivak

33 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charles E. Spivak United States 17 646 561 189 179 133 34 1.1k
David G. Trist Italy 22 601 0.9× 624 1.1× 90 0.5× 70 0.4× 149 1.1× 62 1.5k
Vez Repunte‐Canonigo United States 18 426 0.7× 584 1.0× 188 1.0× 61 0.3× 71 0.5× 29 1.1k
L Jaworska-Feil Poland 21 258 0.4× 414 0.7× 414 2.2× 173 1.0× 45 0.3× 50 1.0k
Katalin Horváth Hungary 17 231 0.4× 271 0.5× 132 0.7× 95 0.5× 93 0.7× 44 862
Hong‐Jin Shu United States 16 458 0.7× 548 1.0× 104 0.6× 89 0.5× 27 0.2× 27 916
Richard Alonso France 19 549 0.8× 794 1.4× 274 1.4× 70 0.4× 419 3.2× 40 1.6k
Jean‐Paul Nicolas France 22 834 1.3× 929 1.7× 95 0.5× 57 0.3× 202 1.5× 30 1.8k
Guobin Bao Germany 15 721 1.1× 731 1.3× 138 0.7× 23 0.1× 94 0.7× 24 1.4k
Y. Claustre France 22 682 1.1× 1.1k 1.9× 141 0.7× 70 0.4× 217 1.6× 32 1.7k
Katsuya Harada Japan 16 254 0.4× 325 0.6× 211 1.1× 50 0.3× 59 0.4× 33 857

Countries citing papers authored by Charles E. Spivak

Since Specialization
Citations

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

Fields of papers citing papers by Charles E. Spivak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles E. Spivak. 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 Charles E. Spivak. The network helps show where Charles E. Spivak may publish in the future.

Co-authorship network of co-authors of Charles E. Spivak

This figure shows the co-authorship network connecting the top 25 collaborators of Charles E. Spivak. A scholar is included among the top collaborators of Charles E. Spivak 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 Charles E. Spivak. Charles E. Spivak 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.
Chen, Jia, Raphael M. Bendriem, Charles E. Spivak, et al.. (2016). CYP3A5 Mediates Effects of Cocaine on Human Neocorticogenesis: Studies using an In Vitro 3D Self-Organized hPSC Model with a Single Cortex-Like Unit. Neuropsychopharmacology. 42(3). 774–784. 75 indexed citations
2.
Spivak, Charles E., Wook Kim, Qing‐Rong Liu, Carl R. Lupica, & Maı̀re E. Doyle. (2012). Blockade of β-cell KATP channels by the endocannabinoid, 2-arachidonoylglycerol. Biochemical and Biophysical Research Communications. 423(1). 13–18. 13 indexed citations
3.
Spivak, Charles E. & Maı̀re E. Doyle. (2011). Endocannabinoid Inhibition of Ion Channels of Pancreatic Beta Cells. Biophysical Journal. 100(3). 92a–92a. 1 indexed citations
4.
Vazin, Tandis, Kevin G. Becker, Jia Chen, et al.. (2009). A Novel Combination of Factors, Termed SPIE, which Promotes Dopaminergic Neuron Differentiation from Human Embryonic Stem Cells. PLoS ONE. 4(8). e6606–e6606. 71 indexed citations
5.
Vazin, Tandis, Jia Chen, Charles E. Spivak, et al.. (2008). Dopaminergic neurons derived from BG01V2, a variant of human embryonic stem cell line BG01. Restorative Neurology and Neuroscience. 26(6). 447–458. 2 indexed citations
6.
Freed, William J., Chen Jia, Cristina M. Bäckman, et al.. (2008). Gene Expression Profile of Neuronal Progenitor Cells Derived from hESCs: Activation of Chromosome 11p15.5 and Comparison to Human Dopaminergic Neurons. PLoS ONE. 3(1). e1422–e1422. 31 indexed citations
7.
Spivak, Charles E., Carl R. Lupica, & Murat Öz. (2007). The Endocannabinoid Anandamide Inhibits the Function of α4β2 Nicotinic Acetylcholine Receptors. Molecular Pharmacology. 72(4). 1024–1032. 55 indexed citations
8.
9.
Schwartz, Catherine, Charles E. Spivak, Shawn C. Baker, et al.. (2005). NTera2: A Model System to Study Dopaminergic Differentiation of Human Embryonic Stem Cells. Stem Cells and Development. 14(5). 517–534. 56 indexed citations
10.
Öz, Murat, Charles E. Spivak, & Carl R. Lupica. (2004). The solubilizing detergents, Tween 80 and Triton X-100 non-competitively inhibit α7-nicotinic acetylcholine receptor function in Xenopus oocytes. Journal of Neuroscience Methods. 137(2). 167–173. 33 indexed citations
11.
Öz, Murat & Charles E. Spivak. (2003). Effects of extracellular sodium on μ-opioid receptors coupled to potassium channels coexpressed in Xenopus oocytes. Pflügers Archiv - European Journal of Physiology. 445(6). 716–720. 1 indexed citations
12.
Öz, Murat, Li Zhang, & Charles E. Spivak. (2002). Direct noncompetitive inhibition of 5-HT3 receptor-mediated responses by forskolin and steroids. Archives of Biochemistry and Biophysics. 404(2). 293–301. 32 indexed citations
13.
Spivak, Charles E., et al.. (1997). Naloxone Activation of μ-Opioid Receptors Mutated at a Histidine Residue Lining the Opioid Binding Cavity. Molecular Pharmacology. 52(6). 983–992. 54 indexed citations
14.
Spivak, Charles E.. (1995). Correlations among Hill parameters reflect models of activating ligand-gated ion channels. Trends in Pharmacological Sciences. 16(2). 39–42. 10 indexed citations
15.
16.
Kusama, Tadashi, et al.. (1994). Mutagenesis of the GABA π1 receptor alters agonist affinity and channel gating. Neuroreport. 5(10). 1209–1212. 34 indexed citations
17.
Shimada, Shoichi, Charles E. Spivak, & George R. Uhl. (1991). Endothelin receptor: a profoundly desensitizing receptor expressed in Xenopus oocytes. European Journal of Pharmacology. 193(1). 123–125. 7 indexed citations
18.
Spivak, Charles E., et al.. (1991). (±)-Octahydro-2-methy 1-trans-5 (1H)-isoquinolone methiodide: A probe that reveals a partial map of the nicotinic receptor's recognition site. Journal of Molecular Graphics. 9(2). 105–110. 1 indexed citations
19.
Majewska, Maria Dorota, et al.. (1990). The neurosteroid dehydroepiandrosterone sulfate is an allosteric antagonist of the GABAA receptor. Brain Research. 526(1). 143–146. 383 indexed citations
20.
Spivak, Charles E., et al.. (1989). Carbamyl analogs of potent, nicotinic agonists: pharmacology and computer-assisted molecular modeling study. Journal of Medicinal Chemistry. 32(2). 305–309. 7 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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