Jerry D. King
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
- Escherichia coli research studies
Papers in
- Genetics 7
- Bacterial Genetics and Biotechnology 7
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- Biochemical and Molecular Research 2
- Co-authors
- Joseph S. Lam (5 shared papers)Dana Kocíncová (2 shared papers)Erin L. Westman (1 shared paper)Chris Whitfield (2 shared papers)Andrew Preston (8 shared papers)Evgeny Vinogradov (5 shared papers)Scott M. Berry (1 shared paper)Bradley R. Clarke (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of Bacteriology (1 paper)PLoS Computational Biology (1 paper)Veterinary Record (1 paper)
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
Jerry D. King
16 papers receiving 501 citations
Peers
Comparison fields: 5 of 74
- Molecular Medicine 117
- Endocrinology 96
- Microbiology 100
- Ecology 118
- Genetics 120
Countries citing papers authored by Jerry D. King
This map shows the geographic impact of Jerry D. King'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 Jerry D. King with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jerry D. King more than expected).
Fields of papers citing papers by Jerry D. King
This network shows the impact of papers produced by Jerry D. King. 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 Jerry D. King. The network helps show where Jerry D. King may publish in the future.
Co-authors
The 25 scholars most cited alongside Jerry D. King, 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 | 2009 | 243 | |
| 2 | 2014 | 43 | |
| 3 | 2009 | 38 | |
| 4 | 2011 | 29 | |
| 5 | 2007 | 24 | |
| 6 | 2015 | 22 | |
| 7 | 2007 | 21 | |
| 8 | 2013 | 18 | |
| 9 | 2010 | 12 | |
| 10 | 2010 | 11 | |
| 11 | 2020 | 10 | |
| 12 | 2017 | 10 | |
| 13 | 2019 | 8 | |
| 14 | 2008 | 8 | |
| 15 | 1993 | 6 | |
| 16 | 2007 | 2 |
About Jerry D. King
Jerry D. King is a scholar working on Genetics, Molecular Biology, Microbiology, Ecology and Epidemiology, having authored 16 papers that have together received 505 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (7 papers), Bacteriophages and microbial interactions (5 papers), Bacterial Infections and Vaccines (5 papers), Escherichia coli research studies (4 papers), Antibiotic Resistance in Bacteria (3 papers), Biochemical and Molecular Research (2 papers), Infective Endocarditis Diagnosis and Management (2 papers) and Pneumonia and Respiratory Infections (2 papers). The work is most often cited by research in Molecular Medicine (117 citations), Endocrinology (96 citations), Microbiology (100 citations), Ecology (118 citations) and Genetics (120 citations). Jerry D. King has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Joseph S. Lam, Dana Kocíncová, Erin L. Westman, Chris Whitfield, Andrew Preston, Evgeny Vinogradov, Scott M. Berry, Bradley R. Clarke, Richard J. Morris and Duncan J. Maskell. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Journal of Bacteriology, PLoS Computational Biology and Veterinary Record.
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.