O.A. Pemberton
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
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- Antibiotic Use and Resistance
Papers in
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- Antibiotic Resistance in Bacteria 9
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- Cancer therapeutics and mechanisms 2
- Bacterial biofilms and quorum sensing 1
- Co-authors
- Yu Chen (10 shared papers)Xiujun Zhang (4 shared papers)Maxim Totrov (2 shared papers)Ruslan Tsivkovski (2 shared papers)Olga Lomovskaya (2 shared papers)Scott J. Hecker (1 shared paper)Mojgan Sabet (1 shared paper)Debora Rubio-Aparicio (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (3 papers)Antimicrobial Agents and Chemotherapy (2 papers)ACS Infectious Diseases (2 papers)Scientific Reports (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
O.A. Pemberton
10 papers receiving 360 citations
Peers
Comparison fields: 5 of 50
- Molecular Medicine 280
- Applied Microbiology and Biotechnology 31
- Pharmacology 140
- Endocrinology 25
- Infectious Diseases 81
Countries citing papers authored by O.A. Pemberton
This map shows the geographic impact of O.A. Pemberton'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 O.A. Pemberton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites O.A. Pemberton more than expected).
Fields of papers citing papers by O.A. Pemberton
This network shows the impact of papers produced by O.A. Pemberton. 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 O.A. Pemberton. The network helps show where O.A. Pemberton may publish in the future.
Co-authors
The 25 scholars most cited alongside O.A. Pemberton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 158 | |
| 2 | 2017 | 46 | |
| 3 | 2020 | 38 | |
| 4 | 2019 | 32 | |
| 5 | 2020 | 27 | |
| 6 | 2019 | 20 | |
| 7 | 2020 | 16 | |
| 8 | 2019 | 14 | |
| 9 | 2018 | 13 | |
| 10 | 2017 | 9 |
About O.A. Pemberton
O.A. Pemberton is a scholar working on Molecular Medicine, Molecular Biology, Pharmacology, Endocrinology and Materials Chemistry, having authored 10 papers that have together received 373 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (9 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers), Vibrio bacteria research studies (3 papers), Enzyme Structure and Function (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Cancer therapeutics and mechanisms (2 papers), Tuberculosis Research and Epidemiology (2 papers) and Bacterial biofilms and quorum sensing (1 paper). The work is most often cited by research in Molecular Medicine (280 citations), Applied Microbiology and Biotechnology (31 citations), Pharmacology (140 citations), Endocrinology (25 citations) and Infectious Diseases (81 citations). O.A. Pemberton has collaborated with scholars based in United States and France. Frequent co-authors include Yu Chen, Xiujun Zhang, Maxim Totrov, Ruslan Tsivkovski, Olga Lomovskaya, Scott J. Hecker, Mojgan Sabet, Debora Rubio-Aparicio, Serge H. Boyer and Dongxu Sun. Their work appears in journals such as Journal of Medicinal Chemistry, Antimicrobial Agents and Chemotherapy, ACS Infectious Diseases, Scientific Reports and Proceedings of the National Academy of Sciences.
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.