Suzanne A. Ford
Impact in
- Aging top 5%
- Endocrinology top 5%
Papers in
- Genetics 7
- Evolution and Genetic Dynamics 7
-
- Insect symbiosis and bacterial influences 7
- Co-authors
- Kayla C. King (8 shared papers)James E. Bray (1 shared paper)Martin Maiden (1 shared paper)Sarah G. Earle (1 shared paper)Keith A. Jolley (1 shared paper)Melissa J. Jansen van Rensburg (1 shared paper)Noel McCarthy (1 shared paper)David Williams (2 shared papers)
- Journals
- The ISME Journal (2 papers)Nature Communications (1 paper)Freshwater Biology (1 paper)Molecular Biology and Evolution (1 paper)Insect Molecular Biology (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Suzanne A. Ford
13 papers receiving 917 citations
Suzanne A. Ford's Hit Papers
Peers
Comparison fields: 5 of 77
- Aging 44
- Endocrinology 108
- Molecular Medicine 84
- Insect Science 170
- Microbiology 82
Countries citing papers authored by Suzanne A. Ford
This map shows the geographic impact of Suzanne A. Ford'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 Suzanne A. Ford with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suzanne A. Ford more than expected).
Fields of papers citing papers by Suzanne A. Ford
This network shows the impact of papers produced by Suzanne A. Ford. 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 Suzanne A. Ford. The network helps show where Suzanne A. Ford may publish in the future.
Co-authors
The 25 scholars most cited alongside Suzanne A. Ford, 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 | MLST revisited: the gene-by-gene approach to bacterial genomics Hit paper breakdown → | 2013 | 501 |
| 2 | 2016 | 133 | |
| 3 | 2016 | 80 | |
| 4 | 2016 | 65 | |
| 5 | 2016 | 29 | |
| 6 | 2021 | 29 | |
| 7 | 2020 | 26 | |
| 8 | 1990 | 17 | |
| 9 | 2019 | 12 | |
| 10 | 2022 | 11 | |
| 11 | 2020 | 10 | |
| 12 | 2022 | 8 | |
| 13 | 2021 | 5 |
About Suzanne A. Ford
Suzanne A. Ford is a scholar working on Genetics, Insect Science, Molecular Biology, Sociology and Political Science and Public Health, Environmental and Occupational Health, having authored 13 papers that have together received 926 indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (7 papers), Insect symbiosis and bacterial influences (7 papers), Gut microbiota and health (4 papers), Mosquito-borne diseases and control (3 papers), Evolutionary Game Theory and Cooperation (3 papers), Plant Virus Research Studies (2 papers), Soil and Water Nutrient Dynamics (1 paper) and Plant and animal studies (1 paper). The work is most often cited by research in Aging (44 citations), Endocrinology (108 citations), Molecular Medicine (84 citations), Insect Science (170 citations) and Microbiology (82 citations). Suzanne A. Ford has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Kayla C. King, James E. Bray, Martin Maiden, Sarah G. Earle, Keith A. Jolley, Melissa J. Jansen van Rensburg, Noel McCarthy, David Williams, Steve Paterson and Damian Kao. Their work appears in journals such as The ISME Journal, Nature Communications, Freshwater Biology, Molecular Biology and Evolution and Insect Molecular Biology.
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.