Jack A. Bryant
Impact in
- Endocrinology top 5%
- Escherichia coli research studies
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
-
- RNA and protein synthesis mechanisms 9
- Bacterial biofilms and quorum sensing 3
- Genetics 13
- Bacterial Genetics and Biotechnology 12
- Co-authors
- David J. Lee (5 shared papers)Stephen Busby (4 shared papers)Laura Sellars (2 shared papers)Manuel Banzhaf (12 shared papers)Ian R. Henderson (14 shared papers)Adam F. Cunningham (9 shared papers)Alexander Gray (1 shared paper)Felicity de Cogan (9 shared papers)
- Journals
- Nucleic Acids Research (3 papers)eLife (3 papers)Scientific Reports (3 papers)mBio (2 papers)Nature Communications (1 paper)
- Partner nations
- United KingdomAustraliaPoland
In The Last Decade
Jack A. Bryant
28 papers receiving 647 citations
Peers
Comparison fields: 5 of 102
- Endocrinology 77
- Molecular Medicine 58
- Genetics 197
- Molecular Biology 360
- Aging 7
Countries citing papers authored by Jack A. Bryant
This map shows the geographic impact of Jack A. Bryant'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 Jack A. Bryant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack A. Bryant more than expected).
Fields of papers citing papers by Jack A. Bryant
This network shows the impact of papers produced by Jack A. Bryant. 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 Jack A. Bryant. The network helps show where Jack A. Bryant may publish in the future.
Co-authors
The 25 scholars most cited alongside Jack A. Bryant, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 214 | |
| 2 | 2020 | 124 | |
| 3 | 2013 | 58 | |
| 4 | 2017 | 46 | |
| 5 | 2022 | 34 | |
| 6 | 2023 | 27 | |
| 7 | 2019 | 17 | |
| 8 | 2022 | 17 | |
| 9 | Introduction to Bioethics | 2005 | 15 |
| 10 | 2022 | 15 | |
| 11 | 2020 | 11 | |
| 12 | 2021 | 10 | |
| 13 | 2018 | 8 | |
| 14 | 2024 | 7 | |
| 15 | 2016 | 6 | |
| 16 | 2021 | 6 | |
| 17 | 2017 | 5 | |
| 18 | 2022 | 5 | |
| 19 | 2022 | 5 | |
| 20 | 2023 | 5 |
About Jack A. Bryant
Jack A. Bryant is a scholar working on Molecular Biology, Genetics, Endocrinology, Organic Chemistry and Infectious Diseases, having authored 35 papers that have together received 653 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (12 papers), RNA and protein synthesis mechanisms (9 papers), Escherichia coli research studies (8 papers), Antimicrobial agents and applications (5 papers), Antibiotic Resistance in Bacteria (4 papers), Enzyme Structure and Function (4 papers), Bacteriophages and microbial interactions (4 papers) and Bacterial biofilms and quorum sensing (3 papers). The work is most often cited by research in Endocrinology (77 citations), Molecular Medicine (58 citations), Genetics (197 citations), Molecular Biology (360 citations) and Aging (7 citations). Jack A. Bryant has collaborated with scholars based in United Kingdom, Australia and Poland. Frequent co-authors include David J. Lee, Stephen Busby, Laura Sellars, Manuel Banzhaf, Ian R. Henderson, Adam F. Cunningham, Alexander Gray, Felicity de Cogan, D. Grahame Hardie and Yu‐Chiang Lai. Their work appears in journals such as Nucleic Acids Research, eLife, Scientific Reports, mBio and Nature Communications.
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.