Thomas M. Keck

999 total citations
31 papers, 803 citations indexed

About

Thomas M. Keck is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Computational Theory and Mathematics. According to data from OpenAlex, Thomas M. Keck has authored 31 papers receiving a total of 803 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 21 papers in Cellular and Molecular Neuroscience and 3 papers in Computational Theory and Mathematics. Recurrent topics in Thomas M. Keck's work include Receptor Mechanisms and Signaling (18 papers), Neurotransmitter Receptor Influence on Behavior (13 papers) and Pharmacological Receptor Mechanisms and Effects (10 papers). Thomas M. Keck is often cited by papers focused on Receptor Mechanisms and Signaling (18 papers), Neurotransmitter Receptor Influence on Behavior (13 papers) and Pharmacological Receptor Mechanisms and Effects (10 papers). Thomas M. Keck collaborates with scholars based in United States, Italy and Australia. Thomas M. Keck's co-authors include Amy Hauck Newman, Alessandro Bonifazi, Lei Shi, Vivek Kumar, William S. John, Paul W. Czoty, Michael A. Nader, Michael P. Ellenberger, Eliot L. Gardner and Zheng‐Xiong Xi and has published in prestigious journals such as Journal of Virology, The FASEB Journal and Journal of Medicinal Chemistry.

In The Last Decade

Thomas M. Keck

31 papers receiving 794 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas M. Keck United States 18 567 498 87 57 55 31 803
Edna Matta‐Camacho Canada 16 547 1.0× 215 0.4× 32 0.4× 44 0.8× 101 1.8× 21 869
R. Benjamin Free United States 20 748 1.3× 426 0.9× 110 1.3× 64 1.1× 15 0.3× 57 962
Francois Marie Ngako Kadji Japan 12 880 1.6× 473 0.9× 90 1.0× 55 1.0× 73 1.3× 19 1.1k
Viachaslau Bernat Germany 7 780 1.4× 496 1.0× 116 1.3× 46 0.8× 29 0.5× 8 970
Mirko Hechenberger Germany 12 921 1.6× 381 0.8× 38 0.4× 33 0.6× 15 0.3× 13 1.2k
Miguel Guerrero United States 18 694 1.2× 202 0.4× 23 0.3× 79 1.4× 91 1.7× 29 909
Manuel de Lera Ruiz United States 9 535 0.9× 180 0.4× 53 0.6× 123 2.2× 104 1.9× 14 828
Prashant Donthamsetti United States 19 1.1k 1.9× 852 1.7× 157 1.8× 80 1.4× 22 0.4× 27 1.3k
Paige N. Vinson United States 20 842 1.5× 769 1.5× 53 0.6× 63 1.1× 9 0.2× 43 1.1k
Nancy A. Sachs United States 13 554 1.0× 278 0.6× 18 0.2× 50 0.9× 26 0.5× 16 903

Countries citing papers authored by Thomas M. Keck

Since Specialization
Citations

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

Fields of papers citing papers by Thomas M. Keck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas M. Keck. 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 Thomas M. Keck. The network helps show where Thomas M. Keck may publish in the future.

Co-authorship network of co-authors of Thomas M. Keck

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas M. Keck. A scholar is included among the top collaborators of Thomas M. Keck 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 Thomas M. Keck. Thomas M. Keck 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.
Fischer, Bradford D., et al.. (2024). The CB1 negative allosteric modulator PSNCBAM-1 reduces ethanol self-administration via a nonspecific hypophagic effect. Pharmacology Biochemistry and Behavior. 240. 173776–173776. 1 indexed citations
2.
Keck, Thomas M.. (2022). Erosion, Backsliding, or Abuse: Three Metaphors for Democratic Decline. SSRN Electronic Journal. 1 indexed citations
3.
Ferré, Sergi, Annabelle M. Belcher, Jordi Bonaventura, et al.. (2022). Functional and pharmacological role of the dopamine D4 receptor and its polymorphic variants. Frontiers in Endocrinology. 13. 1014678–1014678. 20 indexed citations
4.
5.
Islam, Ariful, et al.. (2020). Abuse Liability, Anti-Nociceptive, and Discriminative Stimulus Properties of IBNtxA. ACS Pharmacology & Translational Science. 3(5). 907–920. 5 indexed citations
6.
Moritz, Amy E., R. Benjamin Free, Emmanuel Akano, et al.. (2020). Discovery, Optimization, and Characterization of ML417: A Novel and Highly Selective D3 Dopamine Receptor Agonist. Journal of Medicinal Chemistry. 63(10). 5526–5567. 17 indexed citations
7.
Jayanthi, Subramaniam, Bruce Ladenheim, Jean Lud Cadet, et al.. (2020). Neurochemical and behavioral comparisons of contingent and non-contingent methamphetamine exposure following binge or yoked long-access self-administration paradigms. Psychopharmacology. 237(7). 1989–2005. 16 indexed citations
8.
Keck, Thomas M., R. Benjamin Free, Alessandro Bonifazi, et al.. (2019). Dopamine D4 Receptor-Selective Compounds Reveal Structure–Activity Relationships that Engender Agonist Efficacy. Journal of Medicinal Chemistry. 62(7). 3722–3740. 22 indexed citations
9.
Islam, Ariful, et al.. (2019). Cognitive and behavioral effects of brief seizures in mice. Epilepsy & Behavior. 98(Pt A). 249–257. 3 indexed citations
10.
Michino, Mayako, Comfort A. Boateng, Prashant Donthamsetti, et al.. (2016). Toward Understanding the Structural Basis of Partial Agonism at the Dopamine D3Receptor. Journal of Medicinal Chemistry. 60(2). 580–593. 47 indexed citations
11.
Keck, Thomas M., Vivek Kumar, Prashant Donthamsetti, et al.. (2016). Novel Analogues of (R)-5-(Methylamino)-5,6-dihydro-4H-imidazo[4,5,1-ij]quinolin-2(1H)-one (Sumanirole) Provide Clues to Dopamine D2/D3Receptor Agonist Selectivity. Journal of Medicinal Chemistry. 59(7). 2973–2988. 34 indexed citations
12.
Bonifazi, Alessandro, Diego Dal Ben, Mario Giannella, et al.. (2016). A Novel Class of Dopamine D4 Receptor Ligands Bearing an Imidazoline Nucleus. ChemMedChem. 11(16). 1819–1828. 6 indexed citations
13.
Boateng, Comfort A., Jia Zhan, Ashwini K. Banala, et al.. (2015). High Affinity Dopamine D3Receptor (D3R)-Selective Antagonists Attenuate Heroin Self-Administration in Wild-Type but not D3R Knockout Mice. Journal of Medicinal Chemistry. 58(15). 6195–6213. 44 indexed citations
14.
Keck, Thomas M., Ashwini K. Banala, Rachel D. Slack, et al.. (2015). Using click chemistry toward novel 1,2,3-triazole-linked dopamine D3 receptor ligands. Bioorganic & Medicinal Chemistry. 23(14). 4000–4012. 27 indexed citations
15.
Keck, Thomas M., et al.. (2014). Beyond Small-Molecule SAR. Advances in pharmacology. 69. 267–300. 41 indexed citations
16.
Kumar, Vivek, Ashwini K. Banala, Jianjing Cao, et al.. (2014). Chiral Resolution and Serendipitous Fluorination Reaction for the Selective Dopamine D3 Receptor Antagonist BAK2-66. ACS Medicinal Chemistry Letters. 5(6). 647–651. 15 indexed citations
17.
Keck, Thomas M., Yong Huang, Hai‐Ying Zhang, et al.. (2013). Fenobam sulfate inhibits cocaine-taking and cocaine-seeking behavior in rats: implications for addiction treatment in humans. Psychopharmacology. 229(2). 253–265. 28 indexed citations
18.
Keck, Thomas M., Mu‐Fa Zou, Guo‐Hua Bi, et al.. (2013). A novel mGluR5 antagonist, MFZ 10‐7, inhibits cocaine‐taking and cocaine‐seeking behavior in rats. Addiction Biology. 19(2). 195–209. 33 indexed citations
19.
Keck, Thomas M., et al.. (2012). Dopamine D4 receptor deficiency in mice alters behavioral responses to anxiogenic stimuli and the psychostimulant methylphenidate. Pharmacology Biochemistry and Behavior. 103(4). 831–841. 22 indexed citations
20.
Tiwari‐Woodruff, Seema K., et al.. (2006). K+ channel KV3.1 associates with OSP/claudin-11 and regulates oligodendrocyte development. American Journal of Physiology-Cell Physiology. 291(4). C687–C698. 40 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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