J. Davies
Impact in
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
Papers in
-
- RNA and protein synthesis mechanisms 9
- Genomics and Phylogenetic Studies 3
- RNA modifications and cancer 3
-
- Antibiotic Resistance in Bacteria 12
- Co-authors
- Didier Mazel (2 shared papers)Bernard Weisblum (1 shared paper)Raoul Ė. Benveniste (2 shared papers)Eamonn Gormley (1 shared paper)Michio Nomura (1 shared paper)Karen Arnold (1 shared paper)Michael Price (1 shared paper)Yair Aharonowitz (1 shared paper)
- Journals
- Antimicrobial Agents and Chemotherapy (6 papers)Journal of Bacteriology (4 papers)Molecular Microbiology (2 papers)The Journal of Antibiotics (1 paper)Infection and Immunity (1 paper)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
J. Davies
30 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 109
- Molecular Medicine 426
- Endocrinology 136
- Molecular Biology 1.5k
- Genetics 528
- Pharmacology 292
Countries citing papers authored by J. Davies
This map shows the geographic impact of J. Davies'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 J. Davies with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Davies more than expected).
Fields of papers citing papers by J. Davies
This network shows the impact of papers produced by J. Davies. 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 J. Davies. The network helps show where J. Davies may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Davies, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 431 | |
| 2 | 1999 | 251 | |
| 3 | 1991 | 188 | |
| 4 | 1968 | 132 | |
| 5 | 1969 | 118 | |
| 6 | 1990 | 108 | |
| 7 | 1966 | 104 | |
| 8 | 1973 | 98 | |
| 9 | 1991 | 98 | |
| 10 | 1972 | 94 | |
| 11 | 1973 | 82 | |
| 12 | 1970 | 72 | |
| 13 | 1991 | 65 | |
| 14 | 1991 | 54 | |
| 15 | 1974 | 54 | |
| 16 | 1991 | 50 | |
| 17 | 1974 | 43 | |
| 18 | 1997 | 40 | |
| 19 | 1971 | 39 | |
| 20 | 1976 | 35 |
About J. Davies
J. Davies is a scholar working on Molecular Biology, Molecular Medicine, Genetics, Pharmacology and Food Science, having authored 31 papers that have together received 2.3k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (12 papers), RNA and protein synthesis mechanisms (9 papers), Bacterial Genetics and Biotechnology (7 papers), Microbial Natural Products and Biosynthesis (3 papers), Genomics and Phylogenetic Studies (3 papers), Pharmaceutical and Antibiotic Environmental Impacts (3 papers), Salmonella and Campylobacter epidemiology (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Molecular Medicine (426 citations), Endocrinology (136 citations), Molecular Biology (1.5k citations), Genetics (528 citations) and Pharmacology (292 citations). J. Davies has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Didier Mazel, Bernard Weisblum, Raoul Ė. Benveniste, Eamonn Gormley, Michio Nomura, Karen Arnold, Michael Price, Yair Aharonowitz, Gerald L. Newton and Christopher B. Sherrill. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of Bacteriology, Molecular Microbiology, The Journal of Antibiotics and Infection and Immunity.
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.