Scott D. Taylor

4.4k total citations
146 papers, 3.4k citations indexed

About

Scott D. Taylor is a scholar working on Molecular Biology, Organic Chemistry and Microbiology. According to data from OpenAlex, Scott D. Taylor has authored 146 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Molecular Biology, 58 papers in Organic Chemistry and 19 papers in Microbiology. Recurrent topics in Scott D. Taylor's work include Chemical Synthesis and Analysis (43 papers), Antimicrobial Peptides and Activities (19 papers) and Carbohydrate Chemistry and Synthesis (17 papers). Scott D. Taylor is often cited by papers focused on Chemical Synthesis and Analysis (43 papers), Antimicrobial Peptides and Activities (19 papers) and Carbohydrate Chemistry and Synthesis (17 papers). Scott D. Taylor collaborates with scholars based in Canada, United States and Egypt. Scott D. Taylor's co-authors include Michãel Palmer, Christopher C. Kotoris, Gabriel Hum, Samy Mohamady, Ronald Kluger, Stephen J. Benkovic, Ahmed M. Ali, Patricia A. Benkovic, Amos B. Smith and Kraig M. Yager and has published in prestigious journals such as Science, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Scott D. Taylor

142 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Scott D. Taylor Canada 32 1.7k 1.7k 408 352 315 146 3.4k
Norton P. Peet United States 37 1.5k 0.9× 2.1k 1.3× 300 0.7× 98 0.3× 261 0.8× 190 4.2k
Warren R. J. D. Galloway United Kingdom 26 1.9k 1.1× 2.0k 1.2× 96 0.2× 154 0.4× 350 1.1× 68 3.6k
Patrizia Diana Italy 42 2.2k 1.3× 3.1k 1.9× 140 0.3× 272 0.8× 312 1.0× 179 5.2k
David StC. Black Australia 27 1.2k 0.7× 1.7k 1.0× 90 0.2× 527 1.5× 242 0.8× 195 3.0k
Thomas E. Nielsen Denmark 33 3.3k 1.9× 2.5k 1.5× 64 0.2× 370 1.1× 272 0.9× 112 5.2k
Francis Johnson United States 42 4.5k 2.6× 2.3k 1.4× 161 0.4× 90 0.3× 402 1.3× 236 7.6k
Yongcheng Song United States 42 2.9k 1.7× 1.0k 0.6× 109 0.3× 66 0.2× 330 1.0× 106 4.9k
Michael J. Hall United Kingdom 32 1.3k 0.7× 1.4k 0.8× 82 0.2× 123 0.3× 283 0.9× 109 4.1k
Girolamo Cirrincione Italy 42 2.0k 1.1× 2.9k 1.8× 148 0.4× 254 0.7× 278 0.9× 162 4.7k
Mire Zloh United Kingdom 32 2.3k 1.3× 743 0.4× 184 0.5× 130 0.4× 284 0.9× 135 3.9k

Countries citing papers authored by Scott D. Taylor

Since Specialization
Citations

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

Fields of papers citing papers by Scott D. Taylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott D. Taylor. 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 Scott D. Taylor. The network helps show where Scott D. Taylor may publish in the future.

Co-authorship network of co-authors of Scott D. Taylor

This figure shows the co-authorship network connecting the top 25 collaborators of Scott D. Taylor. A scholar is included among the top collaborators of Scott D. Taylor 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 Scott D. Taylor. Scott D. Taylor 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.
Taylor, Scott D., et al.. (2024). The Calcium-Dependent Antibiotics: Structure–Activity Relationships and Determination of Their Lipid Target. ACS Infectious Diseases. 11(1). 226–237. 2 indexed citations
2.
Taylor, Scott D., et al.. (2024). Daptomycin: Mechanism of action, mechanisms of resistance, synthesis and structure-activity relationships. Progress in molecular biology and translational science. 212. 163–234. 3 indexed citations
3.
Taylor, Scott D., et al.. (2021). A high-yielding solid-phase total synthesis of daptomycin using a Fmoc SPPS stable kynurenine synthon. Organic & Biomolecular Chemistry. 19(14). 3144–3153. 15 indexed citations
4.
Taylor, Scott D., et al.. (2020). Highly efficient and enantioselective syntheses of (2S,3R)-3-alkyl- and alkenylglutamates from Fmoc-protected Garner’s aldehyde. Amino Acids. 52(6-7). 987–998. 11 indexed citations
5.
Taylor, Scott D., et al.. (2019). Thermoresponsive hydroxybutylated starch nanoparticles. Carbohydrate Polymers. 209. 145–151. 12 indexed citations
6.
Mohamady, Samy, et al.. (2019). Discovery of 5-aryl-3-thiophen-2-yl-1H-pyrazoles as a new class of Hsp90 inhibitors in hepatocellular carcinoma. Bioorganic Chemistry. 94. 103433–103433. 17 indexed citations
7.
Palmer, Michãel, et al.. (2018). The effect of replacing the ester bond with an amide bond and of overall stereochemistry on the activity of daptomycin. Bioorganic & Medicinal Chemistry. 27(1). 240–246. 18 indexed citations
8.
Taylor, Robert M., et al.. (2018). Mechanistic studies on the effect of membrane lipid acyl chain composition on daptomycin pore formation. Chemistry and Physics of Lipids. 216. 73–79. 29 indexed citations
9.
Taylor, Robert M., et al.. (2016). Two successive calcium-dependent transitions mediate membrane binding and oligomerization of daptomycin and the related antibiotic A54145. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1858(9). 1999–2005. 32 indexed citations
10.
Taylor, Scott D. & Michãel Palmer. (2016). The action mechanism of daptomycin. Bioorganic & Medicinal Chemistry. 24(24). 6253–6268. 203 indexed citations
11.
Mostafa, Yaser A., et al.. (2015). A-ring substituted 17β-arylsulfonamides of 17β-aminoestra-1,3,5(10)-trien-3-ol as highly potent reversible inhibitors of steroid sulfatase. Bioorganic & Medicinal Chemistry. 23(17). 5681–5692. 7 indexed citations
12.
Muraih, Jawad Kadhum, et al.. (2012). Mutual inhibition through hybrid oligomer formation of daptomycin and the semisynthetic lipopeptide antibiotic CB-182,462. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1828(2). 302–308. 25 indexed citations
13.
Muraih, Jawad Kadhum, et al.. (2011). Characterization of daptomycin oligomerization with perylene excimer fluorescence: Stoichiometric binding of phosphatidylglycerol triggers oligomer formation. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1818(3). 673–678. 69 indexed citations
15.
Liu, Yong, et al.. (2009). Multiple Pathways for the Irreversible Inhibition of Steroid Sulfatase with Quinone Methide‐Generating Suicide Inhibitors. ChemBioChem. 10(9). 1457–1461. 37 indexed citations
16.
Liu, Yong, et al.. (2006). Boronic acids as inhibitors of steroid sulfatase. Bioorganic & Medicinal Chemistry. 14(24). 8564–8573. 40 indexed citations
17.
Taylor, Scott D., et al.. (2004). Recent advances in protein tyrosine phosphatase 1B inhibitors. Expert Opinion on Investigational Drugs. 13(3). 199–214. 80 indexed citations
18.
Carmody, Pádraig & Scott D. Taylor. (2003). Industry and the Urban Sector in Zimbabwe’s Political Economy. SHILAP Revista de lepidopterología. 9 indexed citations
19.
Leung, Carmen Oi Ning, et al.. (2002). The difluoromethylenesulfonic acid group as a monoanionic phosphate surrogate for obtaining PTP1B inhibitors. Bioorganic & Medicinal Chemistry. 10(7). 2309–2323. 31 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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