Ronald E. Painter

4.1k total citations
14 papers, 970 citations indexed

About

Ronald E. Painter is a scholar working on Molecular Medicine, Pharmacology and Molecular Biology. According to data from OpenAlex, Ronald E. Painter has authored 14 papers receiving a total of 970 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Medicine, 8 papers in Pharmacology and 5 papers in Molecular Biology. Recurrent topics in Ronald E. Painter's work include Antibiotic Resistance in Bacteria (9 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers) and Antibiotic Use and Resistance (3 papers). Ronald E. Painter is often cited by papers focused on Antibiotic Resistance in Bacteria (9 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers) and Antibiotic Use and Resistance (3 papers). Ronald E. Painter collaborates with scholars based in United States, Taiwan and United Kingdom. Ronald E. Painter's co-authors include Katherine Young, Lynn L. Silver, D L Shungu, David M. Livermore, Philip M. Tierno, Luke Tysall, John Kornblum, Marie-France I. Palepou, Kenneth Inglima and Neil Woodford and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Medicinal Chemistry.

In The Last Decade

Ronald E. Painter

14 papers receiving 941 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ronald E. Painter United States 14 566 347 275 175 133 14 970
Kirk Nelson United States 16 905 1.6× 555 1.6× 320 1.2× 129 0.7× 159 1.2× 23 1.2k
Catherine L. Tooke United Kingdom 13 822 1.5× 371 1.1× 371 1.3× 138 0.8× 96 0.7× 19 1.2k
Franck Danel Switzerland 14 591 1.0× 265 0.8× 490 1.8× 189 1.1× 227 1.7× 17 1.0k
Raymond T. Testa United States 15 453 0.8× 432 1.2× 242 0.9× 70 0.4× 137 1.0× 25 801
Yuiko Takebayashi United Kingdom 8 539 1.0× 202 0.6× 235 0.9× 120 0.7× 50 0.4× 14 761
Denis M. Daigle Canada 19 614 1.1× 273 0.8× 695 2.5× 93 0.5× 112 0.8× 28 1.3k
Éilís C. Bragginton United Kingdom 4 475 0.8× 179 0.5× 293 1.1× 94 0.5× 63 0.5× 6 781
Michele Johnstone United States 10 540 1.0× 325 0.9× 229 0.8× 131 0.7× 53 0.4× 13 738
Haris Jahić United States 10 810 1.4× 503 1.4× 295 1.1× 111 0.6× 69 0.5× 13 994
Paola Sandra Mercuri Belgium 15 879 1.6× 274 0.8× 386 1.4× 254 1.5× 151 1.1× 42 1.2k

Countries citing papers authored by Ronald E. Painter

Since Specialization
Citations

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

Fields of papers citing papers by Ronald E. Painter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ronald E. Painter. 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 Ronald E. Painter. The network helps show where Ronald E. Painter may publish in the future.

Co-authorship network of co-authors of Ronald E. Painter

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

All Works

14 of 14 papers shown
1.
Hujer, Andrea M., Christopher R. Bethel, Magdalena A. Taracila, et al.. (2022). Imipenem/Relebactam Resistance in Clinical Isolates of Extensively Drug Resistant Pseudomonas aeruginosa: Inhibitor-Resistant β-Lactamases and Their Increasing Importance. Antimicrobial Agents and Chemotherapy. 66(5). e0179021–e0179021. 14 indexed citations
2.
Young, Katherine, Ronald E. Painter, Susan L. Raghoobar, et al.. (2019). In vitro studies evaluating the activity of imipenem in combination with relebactam against Pseudomonas aeruginosa. BMC Microbiology. 19(1). 150–150. 84 indexed citations
3.
Konovalova, Anna, Marcin Grabowicz, Carl J. Balibar, et al.. (2018). Inhibitor of intramembrane protease RseP blocks the σ E response causing lethal accumulation of unfolded outer membrane proteins. Proceedings of the National Academy of Sciences. 115(28). E6614–E6621. 51 indexed citations
4.
Walker, Scott S., David Degen, Elliott Nickbarg, et al.. (2017). Affinity Selection–Mass Spectrometry Identifies a Novel Antibacterial RNA Polymerase Inhibitor. ACS Chemical Biology. 12(5). 1346–1352. 14 indexed citations
5.
Painter, Ronald E., David Holmes, Graeme Whyte, et al.. (2016). High-throughput screening of antibiotic-resistant bacteria in picodroplets. Lab on a Chip. 16(9). 1636–1643. 87 indexed citations
6.
Chen, Helen, Timothy A. Blizzard, Seongkon Kim, et al.. (2011). Side chain SAR of bicyclic β-lactamase inhibitors (BLIs). 2. N-Alkylated and open chain analogs of MK-8712. Bioorganic & Medicinal Chemistry Letters. 21(14). 4267–4270. 17 indexed citations
7.
Tan, Qiang, Aimie M. Ogawa, Ronald E. Painter, et al.. (2010). 4,7-Dichloro benzothien-2-yl sulfonylaminomethyl boronic acid: First boronic acid-derived beta-lactamase inhibitor with class A, C, and D activity. Bioorganic & Medicinal Chemistry Letters. 20(8). 2622–2624. 25 indexed citations
8.
Blizzard, Timothy A., Helen Chen, Seongkon Kim, et al.. (2009). Side chain SAR of bicyclic β-lactamase inhibitors (BLIs). 1. Discovery of a class C BLI for combination with imipinem. Bioorganic & Medicinal Chemistry Letters. 20(3). 918–921. 22 indexed citations
9.
Huber, Joann, Robert G. K. Donald, Sang Ho Lee, et al.. (2009). Chemical Genetic Identification of Peptidoglycan Inhibitors Potentiating Carbapenem Activity against Methicillin-Resistant Staphylococcus aureus. Chemistry & Biology. 16(8). 837–848. 75 indexed citations
10.
Ondeyka, John G., Deborah L. Zink, Katherine Young, et al.. (2005). Discovery of Bacterial Fatty Acid Synthase Inhibitors from aPhomaSpecies as Antimicrobial Agents Using a New Antisense-Based Strategy. Journal of Natural Products. 69(3). 377–380. 63 indexed citations
11.
Kodali, Srinivas, Andrew Galgoci, Katherine Young, et al.. (2004). Determination of Selectivity and Efficacy of Fatty Acid Synthesis Inhibitors. Journal of Biological Chemistry. 280(2). 1669–1677. 93 indexed citations
12.
Woodford, Neil, Philip M. Tierno, Katherine Young, et al.. (2004). Outbreak of Klebsiella pneumoniae Producing a New Carbapenem-Hydrolyzing Class A β-Lactamase, KPC-3, in a New York Medical Center. Antimicrobial Agents and Chemotherapy. 48(12). 4793–4799. 356 indexed citations
13.
Ali, Amjad, et al.. (2003). Novel Pyrazolo[3,4-d]pyrimidine-Based Inhibitors of Staphlococcus aureus DNA Polymerase III:  Design, Synthesis, and Biological Evaluation. Journal of Medicinal Chemistry. 46(10). 1824–1830. 53 indexed citations
14.
Ali, Amjad, Susan D. Aster, Donald W. Graham, et al.. (2001). Design and synthesis of novel antibacterial agents with inhibitory activity against DNA polymerase III. Bioorganic & Medicinal Chemistry Letters. 11(16). 2185–2188. 16 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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