Samuel Brown
Impact in
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 1%
- Vibrio bacteria research studies
- Infections and bacterial resistance
Papers in
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- Metabolism and Genetic Disorders 3
-
- Eicosanoids and Hypertension Pharmacology 2
- Co-authors
- David M. Livermore (1 shared paper)J. Coelho (1 shared paper)Jane F. Turton (1 shared paper)Neil Woodford (1 shared paper)MH Ward (1 shared paper)Matthew J. Ellington (1 shared paper)Sebastian G. B. Amyes (1 shared paper)Geoffrey S. Coleman (5 shared papers)
- Journals
- Journal of Molecular Biology (2 papers)Biochemical and Biophysical Research Communications (1 paper)Antimicrobial Agents and Chemotherapy (1 paper)Journal of Theoretical Biology (1 paper)Xenobiotica (1 paper)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Samuel Brown
15 papers receiving 1.1k citations
Samuel Brown's Hit Papers
Peers
Comparison fields: 5 of 67
- Molecular Medicine 919
- Endocrinology 398
- Applied Microbiology and Biotechnology 70
- Pollution 204
- Pharmacology 200
Countries citing papers authored by Samuel Brown
This map shows the geographic impact of Samuel Brown'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 Samuel Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel Brown more than expected).
Fields of papers citing papers by Samuel Brown
This network shows the impact of papers produced by Samuel Brown. 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 Samuel Brown. The network helps show where Samuel Brown may publish in the future.
Co-authors
The 21 scholars most cited alongside Samuel Brown, 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 | Multiplex PCR for genes encoding prevalent OXA carbapenemases in Acinetobacter spp. Hit paper breakdown → | 2006 | 977 |
| 2 | 2002 | 81 | |
| 3 | 1975 | 47 | |
| 4 | 1976 | 24 | |
| 5 | 1975 | 17 | |
| 6 | 1975 | 11 | |
| 7 | 1985 | 10 | |
| 8 | 2019 | 10 | |
| 9 | 1975 | 6 | |
| 10 | 1986 | 3 | |
| 11 | 1976 | 2 | |
| 12 | 1977 | 2 | |
| 13 | 1978 | 1 | |
| 14 | 1987 | 1 | |
| 15 | 1981 | 1 | |
| 16 | 2008 | 0 |
About Samuel Brown
Samuel Brown is a scholar working on Clinical Biochemistry, Biochemistry, Genetics, Molecular Biology and Pharmacology, having authored 16 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (5 papers), Metabolism and Genetic Disorders (3 papers), Protein purification and stability (2 papers), Enzyme Structure and Function (2 papers), Carcinogens and Genotoxicity Assessment (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), RNA and protein synthesis mechanisms (2 papers) and Eicosanoids and Hypertension Pharmacology (2 papers). The work is most often cited by research in Molecular Medicine (919 citations), Endocrinology (398 citations), Applied Microbiology and Biotechnology (70 citations), Pollution (204 citations) and Pharmacology (200 citations). Samuel Brown has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include David M. Livermore, J. Coelho, Jane F. Turton, Neil Woodford, MH Ward, Matthew J. Ellington, Sebastian G. B. Amyes, Geoffrey S. Coleman, Véronique Lenoir and R Scholler. Their work appears in journals such as Journal of Molecular Biology, Biochemical and Biophysical Research Communications, Antimicrobial Agents and Chemotherapy, Journal of Theoretical Biology and Xenobiotica.
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.