Kevin P. Cusack

529 total citations
20 papers, 378 citations indexed

About

Kevin P. Cusack is a scholar working on Organic Chemistry, Molecular Biology and Surgery. According to data from OpenAlex, Kevin P. Cusack has authored 20 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Organic Chemistry, 9 papers in Molecular Biology and 3 papers in Surgery. Recurrent topics in Kevin P. Cusack's work include Sphingolipid Metabolism and Signaling (4 papers), Cholesterol and Lipid Metabolism (3 papers) and Steroid Chemistry and Biochemistry (3 papers). Kevin P. Cusack is often cited by papers focused on Sphingolipid Metabolism and Signaling (4 papers), Cholesterol and Lipid Metabolism (3 papers) and Steroid Chemistry and Biochemistry (3 papers). Kevin P. Cusack collaborates with scholars based in United States, United Kingdom and Germany. Kevin P. Cusack's co-authors include Leah L. Frye, Anil Vasudevan, Deborah A. Leonard, Michael Z. Hoemann, Ying Wang, Robert H. Stoffel, Jasmina Marjanovic, Roland G. Heym, Hannes F. Koolman and Isabel Piel and has published in prestigious journals such as PLoS ONE, Journal of Medicinal Chemistry and Journal of Lipid Research.

In The Last Decade

Kevin P. Cusack

19 papers receiving 354 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 P. Cusack United States 12 194 188 47 35 32 20 378
Sheldon N. Crane Canada 13 232 1.2× 195 1.0× 38 0.8× 19 0.5× 66 2.1× 18 451
Ildiko M. Buck United Kingdom 13 275 1.4× 164 0.9× 46 1.0× 20 0.6× 48 1.5× 17 440
Jonas Grina United States 12 280 1.4× 203 1.1× 75 1.6× 24 0.7× 54 1.7× 15 481
R. H. Hutchings United States 10 118 0.6× 210 1.1× 38 0.8× 30 0.9× 21 0.7× 14 349
Manus Ipek United States 12 143 0.7× 252 1.3× 18 0.4× 48 1.4× 80 2.5× 14 511
Terrence L. Smalley United States 12 224 1.2× 263 1.4× 32 0.7× 28 0.8× 79 2.5× 20 551
Ligaya M. Simpkins United States 13 324 1.7× 229 1.2× 28 0.6× 20 0.6× 75 2.3× 16 545
J.K.Y. Wong United States 11 272 1.4× 238 1.3× 44 0.9× 20 0.6× 61 1.9× 28 498
Elizabeth M. Moir United Kingdom 7 275 1.4× 124 0.7× 80 1.7× 22 0.6× 32 1.0× 11 435
Malin Lemurell Sweden 12 402 2.1× 184 1.0× 48 1.0× 17 0.5× 49 1.5× 15 587

Countries citing papers authored by Kevin P. Cusack

Since Specialization
Citations

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

Fields of papers citing papers by Kevin P. Cusack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin P. Cusack

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin P. Cusack. A scholar is included among the top collaborators of Kevin P. Cusack 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 P. Cusack. Kevin P. Cusack 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.
Hong, Richard S., Ana V. Rojas, Rajni M. Bhardwaj, et al.. (2023). Free Energy Perturbation Approach for Accurate Crystalline Aqueous Solubility Predictions. Journal of Medicinal Chemistry. 66(23). 15883–15893. 7 indexed citations
2.
Cusack, Kevin P., et al.. (2022). Identification of potent and selective inhibitors of PKR via virtual screening and traditional design. Bioorganic & Medicinal Chemistry Letters. 79. 129047–129047. 2 indexed citations
3.
Cusack, Kevin P., et al.. (2018). Prodrugs for colon-restricted delivery: Design, synthesis, and in vivo evaluation of colony stimulating factor 1 receptor (CSF1R) inhibitors. PLoS ONE. 13(9). e0203567–e0203567. 9 indexed citations
4.
Dockray, Samantha, et al.. (2017). Picture yourself here: A novel method for determine sampling protocol adherence in ecological settings. Psychoneuroendocrinology. 83. 16–17. 1 indexed citations
5.
Cusack, Kevin P., Ying Wang, Michael Z. Hoemann, et al.. (2015). Design strategies to address kinetics of drug binding and residence time. Bioorganic & Medicinal Chemistry Letters. 25(10). 2019–2027. 60 indexed citations
6.
Cusack, Kevin P., Hannes F. Koolman, Udo E. W. Lange, et al.. (2013). Emerging technologies for metabolite generation and structural diversification. Bioorganic & Medicinal Chemistry Letters. 23(20). 5471–5483. 55 indexed citations
7.
Cusack, Kevin P. & Robert H. Stoffel. (2010). S1P(1) receptor agonists: Assessment of selectivity and current clinical activity.. PubMed. 13(4). 481–8. 15 indexed citations
8.
Cusack, Kevin P., Hamish Allen, Anca Clabbers, et al.. (2009). Identification of a selective thieno[2,3-c]pyridine inhibitor of COT kinase and TNF-α production. Bioorganic & Medicinal Chemistry Letters. 19(6). 1722–1725. 22 indexed citations
9.
Zhang, Xiaolei, et al.. (2009). A stereoselective and scalable synthesis of a conformationally constrained S1P1 agonist. Tetrahedron Letters. 50(28). 4081–4083. 10 indexed citations
10.
11.
Wallace, Grier A., et al.. (2009). Synthesis of S1P1Receptor Agonists. Synfacts. 2009(12). 1313–1313.
12.
Friedman, Michael, Hamish Allen, M.A. Argiriadi, et al.. (2008). Discovery of thieno[2,3-c]pyridines as potent COT inhibitors. Bioorganic & Medicinal Chemistry Letters. 18(18). 4952–4955. 22 indexed citations
13.
Barberis, Claude, et al.. (2005). Cu(I)-catalyzed intramolecular cyclization of ene-carbamates: synthesis of indoles and pyrrolo[2,3-c]pyridines. Tetrahedron Letters. 46(51). 8877–8880. 30 indexed citations
14.
Cusack, Kevin P., Lee D. Arnold, Claude Barberis, et al.. (2004). A 13C NMR approach to categorizing potential limitations of α,β-unsaturated carbonyl systems in drug-like molecules. Bioorganic & Medicinal Chemistry Letters. 14(22). 5503–5507. 13 indexed citations
15.
Linderman, Russell J., et al.. (1996). Preparation of enantiomerically enriched α-alkoxystannanes by regioselective acetal exchange or acetal hydrolysis. Tetrahedron Letters. 37(37). 6649–6652. 18 indexed citations
16.
Anderson, J. Ansel, Deborah A. Leonard, Kevin P. Cusack, & Leah L. Frye. (1995). 15-Substituted Lanosterols: Post-transcriptional Suppressors of 3-Hydroxy-3-Methylglutaryl Coenzyme A Reductase. Archives of Biochemistry and Biophysics. 316(1). 190–196. 11 indexed citations
17.
Frye, Leah L., Kevin P. Cusack, Deborah A. Leonard, & J. Ansel Anderson. (1994). Oxolanosterol oximes: dual-action inhibitors of cholesterol biosynthesis.. Journal of Lipid Research. 35(8). 1333–1344. 14 indexed citations
18.
Linderman, Russell J., et al.. (1994). Selective deoxygenation of α,α′-dioxygenated 3-(2H)-furanones. Tetrahedron Letters. 35(10). 1477–1480. 8 indexed citations
19.
Frye, Leah L., Kevin P. Cusack, & Deborah A. Leonard. (1993). 32-Methyl-32-oxylanosterols: dual-action inhibitors of cholesterol biosynthesis. Journal of Medicinal Chemistry. 36(3). 410–416. 22 indexed citations
20.
Frye, Leah L., et al.. (1992). Sulfonylation of organometallic reagents with arenesulfonyl fluorides: a simple one-step synthesis of sulfones. The Journal of Organic Chemistry. 57(2). 697–701. 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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