Michael J. Breslin

2.1k total citations
24 papers, 877 citations indexed

About

Michael J. Breslin is a scholar working on Molecular Biology, Oncology and Organic Chemistry. According to data from OpenAlex, Michael J. Breslin has authored 24 papers receiving a total of 877 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Oncology and 4 papers in Organic Chemistry. Recurrent topics in Michael J. Breslin's work include Sleep and related disorders (4 papers), Circadian rhythm and melatonin (4 papers) and Sleep and Wakefulness Research (4 papers). Michael J. Breslin is often cited by papers focused on Sleep and related disorders (4 papers), Circadian rhythm and melatonin (4 papers) and Sleep and Wakefulness Research (4 papers). Michael J. Breslin collaborates with scholars based in United States. Michael J. Breslin's co-authors include Christopher D. Cox, Paul J. Coleman, John J. Renger, Steven V. Fox, Pamela L. Tannenbaum, Susan L. Garson, Donghui Cui, C. Meacham Harrell, Christopher J. Winrow and Anthony L. Gotter and has published in prestigious journals such as Analytical Biochemistry, Pain and Journal of Medicinal Chemistry.

In The Last Decade

Michael J. Breslin

24 papers receiving 850 citations

Peers

Michael J. Breslin
Megumi Shibahara Japan
Roderick A. Porter United Kingdom
Claudia Betschart Switzerland
Samuel Hintermann Switzerland
C. Meacham Harrell United States
Daniel Langenegger Switzerland
Camilla Göktürk Sweden
Kyung Soon Kim South Korea
Lisa D. Aimone United States
Emmanuelle Briard Switzerland
Megumi Shibahara Japan
Michael J. Breslin
Citations per year, relative to Michael J. Breslin Michael J. Breslin (= 1×) peers Megumi Shibahara

Countries citing papers authored by Michael J. Breslin

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Breslin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael J. Breslin

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Breslin. A scholar is included among the top collaborators of Michael J. Breslin 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 Michael J. Breslin. Michael J. Breslin 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.
Vardigan, Joshua D., Xiaoping Zhou, Thomas W. Rosahl, et al.. (2025). Humanized NaV1.8 rats overcome cross-species potency shifts in developing novel NaV1.8 inhibitors. PubMed. 18. 100182–100182. 1 indexed citations
2.
Breslin, Michael J., Deping Wang, Chien-Jung Huang, et al.. (2024). 2-Aminopyridines as Potent and Selective Nav1.8 Inhibitors Exhibiting Efficacy in a Nonhuman Primate Pain Model. ACS Medicinal Chemistry Letters. 15(6). 917–923. 3 indexed citations
3.
Vardigan, Joshua D., Chien-Jung Huang, Michelle K. Clements, et al.. (2024). Analgesia and peripheral c-fiber modulation by selective Nav1.8 inhibition in rhesus. Pain. 166(3). 631–643. 3 indexed citations
4.
McGaughey, Georgia B., Christopher I. Bayly, Christopher D. Cox, et al.. (2014). Shaping suvorexant: application of experimental and theoretical methods for driving synthetic designs. Journal of Computer-Aided Molecular Design. 28(1). 5–12. 12 indexed citations
5.
Raheem, Izzat T., Michael J. Breslin, Joseph G. Bruno, et al.. (2014). Discovery of piperidine ethers as selective orexin receptor antagonists (SORAs) inspired by filorexant. Bioorganic & Medicinal Chemistry Letters. 25(3). 444–450. 17 indexed citations
6.
Smith, Sean M., Jason M. Uslaner, Christopher D. Cox, et al.. (2012). The novel phosphodiesterase 10A inhibitor THPP-1 has antipsychotic-like effects in rat and improves cognition in rat and rhesus monkey. Neuropharmacology. 64. 215–223. 70 indexed citations
7.
Kornilova, Anna Y., et al.. (2012). Development of a fluorescence polarization binding assay for folate receptor. Analytical Biochemistry. 432(2). 59–62. 8 indexed citations
8.
Kornilova, Anna Y., et al.. (2012). Development of a fluorescence polarization binding assay for asialoglycoprotein receptor. Analytical Biochemistry. 425(1). 43–46. 9 indexed citations
9.
Raheem, Izzat T., Michael J. Breslin, Christine Fandozzi, et al.. (2012). Discovery of tetrahydropyridopyrimidine phosphodiesterase 10A inhibitors for the treatment of schizophrenia. Bioorganic & Medicinal Chemistry Letters. 22(18). 5903–5908. 25 indexed citations
10.
Winrow, Christopher J., Anthony L. Gotter, Christopher D. Cox, et al.. (2011). Pharmacological characterization of MK-6096 – A dual orexin receptor antagonist for insomnia. Neuropharmacology. 62(2). 978–987. 109 indexed citations
11.
12.
Cox, Christopher D., Michael J. Breslin, Paul J. Coleman, et al.. (2005). Kinesin spindle protein (KSP) inhibitors. Part 1: The discovery of 3,5-diaryl-4,5-dihydropyrazoles as potent and selective inhibitors of the mitotic kinesin KSP. Bioorganic & Medicinal Chemistry Letters. 15(8). 2041–2045. 118 indexed citations
13.
Breslin, Michael J., Mark E. Duggan, Wasyl Halczenko, et al.. (2004). Nonpeptide αvβ3 antagonists. Part 10: In vitro and in vivo evaluation of a potent 7-methyl substituted tetrahydro-[1,8]naphthyridine derivative. Bioorganic & Medicinal Chemistry Letters. 14(17). 4515–4518. 10 indexed citations
14.
Wang, Jia‐Bing, Michael J. Breslin, Paul J. Coleman, et al.. (2004). Non-peptide αvβ3 antagonists. Part 7: 3-Substituted tetrahydro-[1,8]naphthyridine derivatives. Bioorganic & Medicinal Chemistry Letters. 14(4). 1049–1052. 19 indexed citations
15.
Cox, Christopher D., et al.. (2003). Two-step synthesis of β-alkyl chalcones and their use in the synthesis of 3,5-diaryl-5-alkyl-4,5-dihydropyrazoles. Tetrahedron Letters. 45(7). 1489–1493. 25 indexed citations
16.
Barrow, James C., Philippe G. Nantermet, Harold G. Selnick, et al.. (2001). Discovery and initial structure–Activity relationships of trisubstituted ureas as thrombin receptor (PAR-1) antagonists. Bioorganic & Medicinal Chemistry Letters. 11(20). 2691–2696. 17 indexed citations
17.
Egbertson, Melissa S., Bohumil Bednář, Ben Askew, et al.. (2000). Nonpeptide GPIIB/IIIA receptor antagonists. Part 21: C-6 flexibility and amide bond orientation are important factors in determining the affinity of compounds for activated or resting platelet receptors. Bioorganic & Medicinal Chemistry Letters. 10(17). 1943–1948. 2 indexed citations
18.
Breslin, Michael J., S. J. DESOLMS, Elizabeth A. Giuliani, et al.. (1998). Potent, non-thiol inhibitors of farnesyltransferase. Bioorganic & Medicinal Chemistry Letters. 8(23). 3311–3316. 22 indexed citations
19.
20.
Graham, Samuel, S. J. DESOLMS, Elizabeth A. Giuliani, et al.. (1994). Pseudopeptide Inhibitors of Ras Farnesyl-Protein Transferase. Journal of Medicinal Chemistry. 37(6). 725–732. 88 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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