R.A. Powers

34 papers receiving 1.2k citations

Peers

R.A. Powers
Comparison fields: 5 of 85
  • Molecular Medicine 856
  • Applied Microbiology and Biotechnology 68
  • Endocrinology 168
  • Pharmacology 465
  • Pollution 117
Replace Catherine L. Tooke with:
Catherine L. Tooke United Kingdom
Michiyoshi Nukaga Japan
Denis M. Daigle Canada
Filomena De Luca Italy
Haris Jahić United States
Franck Danel Switzerland
Thomas F. Durand-Réville United States
Kirk Nelson United States
Beth A. Rasmussen United States
Paola Sandra Mercuri Belgium
R.A. Powers relative to Catherine L. Tooke United Kingdom Catherine L. Tooke's profile →
Citations per field
00.5×10×16.3×
Catherine L. Tooke · 1×
Citations per year

Countries citing papers authored by R.A. Powers

Since Specialization
Citations

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

Fields of papers citing papers by R.A. Powers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.A. Powers. 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 R.A. Powers. The network helps show where R.A. Powers may publish in the future.

Co-authors

The 25 scholars most cited alongside R.A. Powers, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with R.A. Powers Line = papers co-authored together R.A. Powers links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002119
2 2002109
3 2001105
4 201398
5 201382
6 199974
7 200174
8 201166
9 200956
10 200147
11 201636
12 201534
13 201433
14 201332
15 201732
16 201629
17 201726
18 202021
19 202020
20 201718

About R.A. Powers

R.A. Powers is a scholar working on Molecular Medicine, Pharmacology, Epidemiology, Oncology and Molecular Biology, having authored 35 papers that have together received 1.2k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (26 papers), Antibiotics Pharmacokinetics and Efficacy (13 papers), Pneumocystis jirovecii pneumonia detection and treatment (8 papers), Drug Transport and Resistance Mechanisms (5 papers), Pneumonia and Respiratory Infections (3 papers), Bacterial Genetics and Biotechnology (3 papers), Vibrio bacteria research studies (2 papers) and Tuberculosis Research and Epidemiology (2 papers). The work is most often cited by research in Molecular Medicine (856 citations), Applied Microbiology and Biotechnology (68 citations), Endocrinology (168 citations), Pharmacology (465 citations) and Pollution (117 citations). R.A. Powers has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Brian K. Shoichet, Robert A. Bonomo, David A. Leonard, Emilia Caselli, Fabio Prati, Federica Morandi, Magdalena A. Taracila, Kyle D. Schneider, Pamela J. Focia and Jesús Blázquez. Their work appears in journals such as Biochemistry, ACS Infectious Diseases, Protein Science, Antimicrobial Agents and Chemotherapy and Journal of Medicinal Chemistry.

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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