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
-
- Protein purification and stability 2
- RNA and protein synthesis mechanisms 2
- Genetics 6
- Bacterial Genetics and Biotechnology 5
- Co-authors
- Matthew J. Ellington (1 shared paper)Neil Woodford (1 shared paper)Sebastian G. B. Amyes (1 shared paper)D. M. Livermore (1 shared paper)Jane F. Turton (1 shared paper)Michael P. Ward (1 shared paper)J. Coelho (1 shared paper)G. Coleman (5 shared papers)
- Journals
- Journal of Molecular Biology (2 papers)Biochemical and Biophysical Research Communications (1 paper)Annals of Human Genetics (1 paper)Xenobiotica (1 paper)Journal of Theoretical Biology (1 paper)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Samuel Brown
14 papers receiving 1.1k citations
Samuel Brown's Hit Papers
Peers
Comparison fields: 5 of 69
- Molecular Medicine 894
- Endocrinology 479
- Applied Microbiology and Biotechnology 99
- Pollution 232
- Pharmacology 253
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 20 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 | 925 |
| 2 | 2002 | 72 | |
| 3 | 1975 | 43 | |
| 4 | 1976 | 21 | |
| 5 | 1975 | 15 | |
| 6 | 1975 | 11 | |
| 7 | 1985 | 10 | |
| 8 | 2019 | 9 | |
| 9 | 1975 | 6 | |
| 10 | 1978 | 4 | |
| 11 | 1986 | 3 | |
| 12 | 1976 | 2 | |
| 13 | 1981 | 1 | |
| 14 | 1987 | 1 |
About Samuel Brown
Samuel Brown is a scholar working on Molecular Biology, Genetics, Pharmacology, Biochemistry and Cancer Research, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (5 papers), Protein purification and stability (2 papers), Eicosanoids and Hypertension Pharmacology (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), RNA and protein synthesis mechanisms (2 papers), Enzyme Structure and Function (2 papers), Carcinogens and Genotoxicity Assessment (2 papers) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Molecular Medicine (894 citations), Endocrinology (479 citations), Applied Microbiology and Biotechnology (99 citations), Pollution (232 citations) and Pharmacology (253 citations). Samuel Brown has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Matthew J. Ellington, Neil Woodford, Sebastian G. B. Amyes, D. M. Livermore, Jane F. Turton, Michael P. Ward, J. Coelho, G. Coleman, Georgeanna Seegar Jones and Howard W. Jones. Their work appears in journals such as Journal of Molecular Biology, Biochemical and Biophysical Research Communications, Annals of Human Genetics, Xenobiotica and Journal of Theoretical Biology.
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.