Kevin J. Coe

636 total citations
17 papers, 389 citations indexed

About

Kevin J. Coe is a scholar working on Molecular Biology, Pharmacology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Kevin J. Coe has authored 17 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Pharmacology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Kevin J. Coe's work include Pharmacogenetics and Drug Metabolism (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Pharmacological Receptor Mechanisms and Effects (3 papers). Kevin J. Coe is often cited by papers focused on Pharmacogenetics and Drug Metabolism (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Pharmacological Receptor Mechanisms and Effects (3 papers). Kevin J. Coe collaborates with scholars based in United States, Belgium and Canada. Kevin J. Coe's co-authors include Sidney D. Nelson, Jean E. Feagin, Jamie J. Cannone, Jungchul Lee, Bryan Sands, Murray N. Schnare, Robin R. Gutell, Maria I. Harrell, Germaine Tami and Tatiana Koudriakova and has published in prestigious journals such as PLoS ONE, Journal of Medicinal Chemistry and Biochemical Pharmacology.

In The Last Decade

Kevin J. Coe

17 papers receiving 381 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin J. Coe United States 10 160 65 61 58 44 17 389
Paola Misiano Italy 12 254 1.6× 9 0.1× 15 0.2× 38 0.7× 17 0.4× 20 481
Junsheng Zhu China 10 193 1.2× 13 0.2× 23 0.4× 58 1.0× 6 0.1× 17 370
M. Antonieta Valenzuela Chile 9 197 1.2× 144 2.2× 11 0.2× 74 1.3× 32 0.7× 16 387
Agnese Chiara Pippione Italy 15 296 1.9× 21 0.3× 16 0.3× 108 1.9× 3 0.1× 22 567
R. T. BORCHARDT United States 12 299 1.9× 21 0.3× 24 0.4× 53 0.9× 8 0.2× 31 491
Daniel Spinks United Kingdom 16 372 2.3× 20 0.3× 13 0.2× 267 4.6× 45 1.0× 22 747
Yoshio Takayanagi Japan 15 417 2.6× 12 0.2× 75 1.2× 28 0.5× 15 0.3× 61 769
Stuart Gillies United Kingdom 8 255 1.6× 25 0.4× 7 0.1× 37 0.6× 24 0.5× 11 496
Stefano Sainas Italy 12 266 1.7× 19 0.3× 14 0.2× 98 1.7× 4 0.1× 23 440
Iain T. Collie United Kingdom 11 264 1.6× 9 0.1× 10 0.2× 187 3.2× 24 0.5× 14 505

Countries citing papers authored by Kevin J. Coe

Since Specialization
Citations

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

Fields of papers citing papers by Kevin J. Coe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin J. Coe. 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 Kevin J. Coe. The network helps show where Kevin J. Coe may publish in the future.

Co-authorship network of co-authors of Kevin J. Coe

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

All Works

17 of 17 papers shown
1.
Shang, Jackie, Kevin J. Coe, Hyun Kyoon Lim, et al.. (2024). Application of Covalent Binding Body Burden in the HμREL Human Hepatocyte Coculture Model for Reactivity Risk Assessment of Metabolically Low Turnover Drugs. Chemical Research in Toxicology. 37(4). 540–544. 1 indexed citations
2.
Gelin, Christine F., Heather Coate, Brian Lord, et al.. (2023). Discovery of a Series of Substituted 1H-((1,2,3-Triazol-4-yl)methoxy)pyrimidines as Brain Penetrants and Potent GluN2B-Selective Negative Allosteric Modulators. Journal of Medicinal Chemistry. 66(4). 2877–2892. 3 indexed citations
3.
Leu, Jocelyn H., Xin Miao, Kevin Shalayda, et al.. (2023). A Phase 1 First‐in‐Human Pharmacokinetic and Pharmacodynamic Study of JNJ‐64264681, a Covalent Inhibitor of Bruton's Tyrosine Kinase. Clinical Pharmacology in Drug Development. 12(6). 611–624. 2 indexed citations
4.
Coe, Kevin J., Mark Feinstein, J. William Higgins, et al.. (2022). Characterization of JNJ-2482272 [4-(4-Methyl-2-(4-(Trifluoromethyl)Phenyl)Thiazole-5-yl) Pyrimidine-2-Amine] As a Strong Aryl Hydrocarbon Receptor Activator in Rat and Human. Drug Metabolism and Disposition. 50(8). 1064–1076. 2 indexed citations
5.
Gege, Christian, M. Albers, Olaf Kinzel, et al.. (2020). Optimization and biological evaluation of thiazole-bis-amide inverse agonists of RORγt. Bioorganic & Medicinal Chemistry Letters. 30(12). 127205–127205. 10 indexed citations
6.
Préville, Cathy, Pascal Bonaventure, Tatiana Koudriakova, et al.. (2020). Substituted Azabicyclo[2.2.1]heptanes as Selective Orexin-1 Antagonists: Discovery of JNJ-54717793. ACS Medicinal Chemistry Letters. 11(10). 2002–2009. 6 indexed citations
7.
Chrovian, Christa C., Daniel J. Pippel, Brian Lord, et al.. (2020). Design, Synthesis, and Preclinical Evaluation of 3-Methyl-6-(5-thiophenyl)-1,3-dihydro-imidazo[4,5-b]pyridin-2-ones as Selective GluN2B Negative Allosteric Modulators for the Treatment of Mood Disorders. Journal of Medicinal Chemistry. 63(17). 9181–9196. 6 indexed citations
8.
Chrovian, Christa C., Jason C. Rech, Brian Lord, et al.. (2019). 1H-Pyrrolo[3,2-b]pyridine GluN2B-Selective Negative Allosteric Modulators. ACS Medicinal Chemistry Letters. 10(3). 261–266. 9 indexed citations
9.
Savall, Brad M., Dongpei Wu, Devin M. Swanson, et al.. (2018). Discovery of Imidazo[1,2-a]pyrazines and Pyrazolo[1,5-c]pyrimidines as TARP γ-8 Selective AMPAR Negative Modulators. ACS Medicinal Chemistry Letters. 10(3). 267–272. 16 indexed citations
10.
Savall, Brad M., Brian Lord, Kevin J. Coe, et al.. (2018). Lead Optimization of 5-Aryl Benzimidazolone- and Oxindole-Based AMPA Receptor Modulators Selective for TARP γ-8. ACS Medicinal Chemistry Letters. 9(8). 821–826. 13 indexed citations
11.
Chrovian, Christa C., Christine F. Gelin, Xiaohu Deng, et al.. (2017). A Dipolar Cycloaddition Reaction To Access 6-Methyl-4,5,6,7-tetrahydro-1H-[1,2,3]triazolo[4,5-c]pyridines Enables the Discovery Synthesis and Preclinical Profiling of a P2X7 Antagonist Clinical Candidate. Journal of Medicinal Chemistry. 61(1). 207–223. 60 indexed citations
12.
13.
Feagin, Jean E., Maria I. Harrell, Jungchul Lee, et al.. (2012). The Fragmented Mitochondrial Ribosomal RNAs of Plasmodium falciparum. PLoS ONE. 7(6). e38320–e38320. 95 indexed citations
14.
Wen, Bo, et al.. (2008). Comparison of in Vitro Bioactivation of Flutamide and Its Cyano Analogue: Evidence for Reductive Activation by Human NADPH:Cytochrome P450 Reductase. Chemical Research in Toxicology. 21(12). 2393–2406. 36 indexed citations
15.
16.
Ho, Han Kiat, Yankai Jia, Kevin J. Coe, et al.. (2006). Cytosolic heat shock proteins and heme oxygenase-1 are preferentially induced in response to specific and localized intramitochondrial damage by tetrafluoroethylcysteine. Biochemical Pharmacology. 72(1). 80–90. 10 indexed citations
17.
Coe, Kevin J., Sidney D. Nelson, Roger G. Ulrich, et al.. (2006). PROFILING THE HEPATIC EFFECTS OF FLUTAMIDE IN RATS: A MICROARRAY COMPARISON WITH CLASSICAL ARYL HYDROCARBON RECEPTOR LIGANDS AND ATYPICAL CYP1A INDUCERS. Drug Metabolism and Disposition. 34(7). 1266–1275. 39 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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