Usa Reilly

992 total citations
9 papers, 460 citations indexed

About

Usa Reilly is a scholar working on Organic Chemistry, Molecular Biology and Pharmacology. According to data from OpenAlex, Usa Reilly has authored 9 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Organic Chemistry, 3 papers in Molecular Biology and 2 papers in Pharmacology. Recurrent topics in Usa Reilly's work include Innovative Microfluidic and Catalytic Techniques Innovation (2 papers), Catalytic C–H Functionalization Methods (2 papers) and Microbial Natural Products and Biosynthesis (2 papers). Usa Reilly is often cited by papers focused on Innovative Microfluidic and Catalytic Techniques Innovation (2 papers), Catalytic C–H Functionalization Methods (2 papers) and Microbial Natural Products and Biosynthesis (2 papers). Usa Reilly collaborates with scholars based in United States, United Kingdom and China. Usa Reilly's co-authors include Kaibo Feng, Martins S. Oderinde, Jeffrey T. Kohrt, M. Christina White, Justin I. Montgomery, Andrew P. Tomaras, David O’Hagan, Jeffrey E. Janso, Elsa G. Barbacci and Paul Pantapalangkoor and has published in prestigious journals such as Nature, Nature Communications and Journal of Medicinal Chemistry.

In The Last Decade

Usa Reilly

9 papers receiving 448 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Usa Reilly United States	8	182	142	141	65	53	9	460
Justin I. Montgomery United States	13	203 1.1×	145 1.0×	309 2.2×	65 1.0×	13 0.2×	20	627
Salomé Llabrés Spain	12	119 0.7×	98 0.7×	212 1.5×	37 0.6×	12 0.2×	19	465
Sebastián A. Testero Argentina	16	472 2.6×	196 1.4×	236 1.7×	36 0.6×	39 0.7×	37	812
Gaël Coadou France	14	110 0.6×	96 0.7×	249 1.8×	53 0.8×	7 0.1×	29	509
David T. Davies United Kingdom	16	384 2.1×	189 1.3×	292 2.1×	21 0.3×	40 0.8×	32	750
Paola Dozzo United States	9	107 0.6×	191 1.3×	182 1.3×	22 0.3×	22 0.4×	10	446
Sara López Spain	13	181 1.0×	256 1.8×	190 1.3×	40 0.6×	38 0.7×	21	579
Aaron T. Garrison United States	14	240 1.3×	115 0.8×	371 2.6×	14 0.2×	15 0.3×	18	594
Riley L. Svec United States	6	239 1.3×	258 1.8×	351 2.5×	27 0.4×	27 0.5×	7	812
Edward Spink United States	9	159 0.9×	50 0.4×	130 0.9×	10 0.2×	37 0.7×	14	357

Countries citing papers authored by Usa Reilly

Since Specialization

Citations

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

Fields of papers citing papers by Usa Reilly

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Usa Reilly. 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 Usa Reilly. The network helps show where Usa Reilly may publish in the future.

Co-authorship network of co-authors of Usa Reilly

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

All Works

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9 of 9 papers shown

King‐Smith, Emma, Felix A. Faber, Usa Reilly, et al.. (2024). Predictive Minisci late stage functionalization with transfer learning. Nature Communications. 15(1). 426–426. 18 indexed citations

Feng, Kaibo, et al.. (2020). Late-stage oxidative C(sp3)–H methylation. Nature. 580(7805). 621–627. 164 indexed citations

Lall, Manjinder S., James Bradow, Maria S. Brown, et al.. (2020). Late-Stage Lead Diversification Coupled with Quantitative Nuclear Magnetic Resonance Spectroscopy to Identify New Structure–Activity Relationship Vectors at Nanomole-Scale Synthesis: Application to Loratadine, a Human Histamine H ₁ Receptor Inverse Agonist. Journal of Medicinal Chemistry. 63(13). 7268–7292. 24 indexed citations

Feng, Xuan, et al.. (2017). Incorporation of [²H₁]-(1R,2R)- and [²H₁]-(1S,2R)-glycerols into the antibiotic nucleocidin in Streptomyces calvus. Organic & Biomolecular Chemistry. 15(38). 8006–8008. 17 indexed citations

Janso, Jeffrey E., et al.. (2016). Fluorometabolite biosynthesis: isotopically labelled glycerol incorporations into the antibiotic nucleocidin in Streptomyces calvus. Organic & Biomolecular Chemistry. 15(1). 61–64. 19 indexed citations

Farley, Kathleen A., Usa Reilly, Dennis P. Anderson, et al.. (2016). Utilizing on‐ and off‐line monitoring tools to follow a kinetic resolution step during flow synthesis. Magnetic Resonance in Chemistry. 55(4). 348–354. 12 indexed citations

Tomaras, Andrew P., Craig J. McPherson, Michael Kuhn, et al.. (2014). LpxC Inhibitors as New Antibacterial Agents and Tools for Studying Regulation of Lipid A Biosynthesis in Gram-Negative Pathogens. mBio. 5(5). e01551–14. 77 indexed citations

Lin, Lin, Brandon Tan, Paul Pantapalangkoor, et al.. (2012). Inhibition of LpxC Protects Mice from Resistant Acinetobacter baumannii by Modulating Inflammation and Enhancing Phagocytosis. mBio. 3(5). 125 indexed citations

Li, Bryan, Daniel W. Widlicka, Mark E. Flanagan, et al.. (2009). A Scaleable Synthesis of 3-Hydroxy-1,5-naphthyridine-4-carbaldehyde. Synlett. 2010(2). 250–252. 4 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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