Jonathan M. Keith
Impact in
- Microbiology top 2%
- Bacterial Infections and Vaccines
- Endocrinology top 5%
Papers in
-
- Genomics and Phylogenetic Studies 15
- RNA and protein synthesis mechanisms 7
- RNA Research and Splicing 5
- Genetics 19
- Co-authors
- Camille Locht (5 shared papers)Dirk P. Kroese (12 shared papers)Bruce Chesebro (1 shared paper)Richard Race (1 shared paper)H. Fraenkel‐Conrat (3 shared papers)Bernard Moss (3 shared papers)M J Ensinger (1 shared paper)K S Marchitto (3 shared papers)
- Journals
- PLoS ONE (6 papers)Infection and Immunity (6 papers)Proceedings of the National Academy of Sciences (5 papers)Journal of Biological Chemistry (5 papers)Bioinformatics (3 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Jonathan M. Keith
86 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 148
- Microbiology 166
- Endocrinology 82
- Biotechnology 103
- Neurology 91
- Molecular Biology 789
Countries citing papers authored by Jonathan M. Keith
This map shows the geographic impact of Jonathan M. Keith'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 Jonathan M. Keith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan M. Keith more than expected).
Fields of papers citing papers by Jonathan M. Keith
This network shows the impact of papers produced by Jonathan M. Keith. 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 Jonathan M. Keith. The network helps show where Jonathan M. Keith may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan M. Keith, 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 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1986 | 145 | |
| 2 | 2000 | 87 | |
| 3 | 1978 | 79 | |
| 4 | 2011 | 73 | |
| 5 | 2018 | 66 | |
| 6 | 1997 | 61 | |
| 7 | 2021 | 54 | |
| 8 | 1991 | 53 | |
| 9 | 1993 | 51 | |
| 10 | 1988 | 51 | |
| 11 | 1975 | 50 | |
| 12 | 2006 | 48 | |
| 13 | 1987 | 48 | |
| 14 | 1988 | 40 | |
| 15 | 1987 | 37 | |
| 16 | 2002 | 36 | |
| 17 | 1993 | 36 | |
| 18 | 2020 | 30 | |
| 19 | 2004 | 29 | |
| 20 | 2013 | 28 |
About Jonathan M. Keith
Jonathan M. Keith is a scholar working on Molecular Biology, Genetics, Artificial Intelligence, Ecology and Microbiology, having authored 89 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (15 papers), Bacterial Infections and Vaccines (7 papers), RNA and protein synthesis mechanisms (7 papers), Ecology and Vegetation Dynamics Studies (6 papers), Bayesian Methods and Mixture Models (6 papers), Species Distribution and Climate Change (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and RNA Research and Splicing (5 papers). The work is most often cited by research in Microbiology (166 citations), Endocrinology (82 citations), Biotechnology (103 citations), Neurology (91 citations) and Molecular Biology (789 citations). Jonathan M. Keith has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Camille Locht, Dirk P. Kroese, Bruce Chesebro, Richard Race, H. Fraenkel‐Conrat, Bernard Moss, M J Ensinger, K S Marchitto, Georgy Sofronov and Kerrie Mengersen. Their work appears in journals such as PLoS ONE, Infection and Immunity, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Bioinformatics.
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.