Anne M. Stringer
Impact in
- Endocrinology top 5%
- Vibrio bacteria research studies
- Escherichia coli research studies
- Molecular Medicine top 10%
Papers in
- Genetics 15
- Bacterial Genetics and Biotechnology 15
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- RNA and protein synthesis mechanisms 6
- Bacterial biofilms and quorum sensing 3
- CRISPR and Genetic Engineering 3
- DNA Repair Mechanisms 2
- Co-authors
- Joseph T. Wade (21 shared papers)Brianna L. Petrone (3 shared papers)Carol Smith (4 shared papers)David C. Grainger (4 shared papers)Michael J. Palumbo (2 shared papers)Richard P. Bonocora (2 shared papers)Navjot Singh (3 shared papers)James R. J. Haycocks (2 shared papers)
- Journals
- Journal of Bacteriology (4 papers)mBio (4 papers)Microbiology (2 papers)Nature Communications (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesUnited KingdomSouth Korea
In The Last Decade
Anne M. Stringer
20 papers receiving 475 citations
Peers
Comparison fields: 5 of 50
- Endocrinology 118
- Molecular Medicine 47
- Genetics 250
- Food Science 88
- Ecology 123
Countries citing papers authored by Anne M. Stringer
This map shows the geographic impact of Anne M. Stringer'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 Anne M. Stringer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne M. Stringer more than expected).
Fields of papers citing papers by Anne M. Stringer
This network shows the impact of papers produced by Anne M. Stringer. 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 Anne M. Stringer. The network helps show where Anne M. Stringer may publish in the future.
Co-authors
The 25 scholars most cited alongside Anne M. Stringer, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 64 | |
| 2 | 2013 | 54 | |
| 3 | 2012 | 50 | |
| 4 | 2016 | 42 | |
| 5 | 2013 | 41 | |
| 6 | 2015 | 39 | |
| 7 | 2016 | 36 | |
| 8 | 2018 | 31 | |
| 9 | 2017 | 23 | |
| 10 | 2021 | 21 | |
| 11 | 2023 | 15 | |
| 12 | 2023 | 12 | |
| 13 | 2018 | 11 | |
| 14 | 2020 | 10 | |
| 15 | 2016 | 9 | |
| 16 | 2023 | 7 | |
| 17 | 2024 | 6 | |
| 18 | 2020 | 5 | |
| 19 | 2024 | 2 | |
| 20 | 2026 | 1 |
About Anne M. Stringer
Anne M. Stringer is a scholar working on Genetics, Molecular Biology, Ecology, Endocrinology and Food Science, having authored 21 papers that have together received 479 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (15 papers), RNA and protein synthesis mechanisms (6 papers), Bacteriophages and microbial interactions (4 papers), Bacterial biofilms and quorum sensing (3 papers), CRISPR and Genetic Engineering (3 papers), Salmonella and Campylobacter epidemiology (3 papers), DNA Repair Mechanisms (2 papers) and Vibrio bacteria research studies (2 papers). The work is most often cited by research in Endocrinology (118 citations), Molecular Medicine (47 citations), Genetics (250 citations), Food Science (88 citations) and Ecology (123 citations). Anne M. Stringer has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Joseph T. Wade, Brianna L. Petrone, Carol Smith, David C. Grainger, Michael J. Palumbo, Richard P. Bonocora, Navjot Singh, James R. J. Haycocks, Prateek Sharma and Chunhong Mao. Their work appears in journals such as Journal of Bacteriology, mBio, Microbiology, Nature Communications and PLoS ONE.
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.