John Davison
Impact in
- Molecular Medicine top 2%
- Pollution top 2%
- Pharmaceutical and Antibiotic Environmental Impacts
Papers in
-
- RNA and protein synthesis mechanisms 16
- CRISPR and Genetic Engineering 10
- Glycosylation and Glycoproteins Research 4
- Ecology 30
- Bacteriophages and microbial interactions 26
- Co-authors
- Françoise Brunel (19 shared papers)Michel Heusterspreute (13 shared papers)Bo Jiang (4 shared papers)Susan Sillaots (4 shared papers)Terry Roemer (4 shared papers)Nathalie Chevalier (3 shared papers)Sébastien Lemieux (3 shared papers)Klaus Ammann (1 shared paper)
- Journals
- Gene (20 papers)Journal of Virology (5 papers)Journal of Heredity (3 papers)Nucleic Acids Research (2 papers)Science (2 papers)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
John Davison
76 papers receiving 3.3k citations
John Davison's Hit Papers
Peers
Comparison fields: 5 of 138
- Molecular Medicine 203
- Pollution 414
- Infectious Diseases 524
- Endocrinology 152
- Ecology 767
Countries citing papers authored by John Davison
This map shows the geographic impact of John Davison'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 John Davison with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Davison more than expected).
Fields of papers citing papers by John Davison
This network shows the impact of papers produced by John Davison. 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 John Davison. The network helps show where John Davison may publish in the future.
Co-authors
The 25 scholars most cited alongside John Davison, 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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Genetic Exchange between Bacteria in the Environment Hit paper breakdown → | 1999 | 521 |
| 2 | 2003 | 387 | |
| 3 | 1987 | 212 | |
| 4 | 2007 | 191 | |
| 5 | 1988 | 189 | |
| 6 | 2007 | 186 | |
| 7 | 2007 | 135 | |
| 8 | 1988 | 108 | |
| 9 | 1984 | 97 | |
| 10 | 2009 | 97 | |
| 11 | 1955 | 86 | |
| 12 | 2017 | 85 | |
| 13 | 1985 | 74 | |
| 14 | 1994 | 71 | |
| 15 | 1977 | 69 | |
| 16 | 1985 | 68 | |
| 17 | 2009 | 66 | |
| 18 | 2005 | 56 | |
| 19 | 1992 | 47 | |
| 20 | 1980 | 42 |
About John Davison
John Davison is a scholar working on Molecular Biology, Ecology, Genetics, Plant Science and Epidemiology, having authored 79 papers that have together received 3.6k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (26 papers), Bacterial Genetics and Biotechnology (22 papers), RNA and protein synthesis mechanisms (16 papers), CRISPR and Genetic Engineering (10 papers), Glycosylation and Glycoproteins Research (4 papers), Trypanosoma species research and implications (4 papers), Genetically Modified Organisms Research (4 papers) and Animal Genetics and Reproduction (4 papers). The work is most often cited by research in Molecular Medicine (203 citations), Pollution (414 citations), Infectious Diseases (524 citations), Endocrinology (152 citations) and Ecology (767 citations). John Davison has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Françoise Brunel, Michel Heusterspreute, Bo Jiang, Susan Sillaots, Terry Roemer, Nathalie Chevalier, Sébastien Lemieux, Klaus Ammann, Sarah Kauffman and Nick Martel. Their work appears in journals such as Gene, Journal of Virology, Journal of Heredity, Nucleic Acids Research and Science.
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.