Suzanne A. Ford

13 papers receiving 896 citations

Suzanne A. Ford's Hit Papers

MLST revisited: the gene-by-gene approach to bacterial genomics 2013 · 487 citations
4870+4+8Years since publication100200300400

Peers

Suzanne A. Ford
Comparison fields: 5 of 78
  • Aging 47
  • Endocrinology 111
  • Molecular Medicine 92
  • Insect Science 176
  • Microbiology 82
Replace Stineke van Houte with:
Stineke van Houte United Kingdom
Alex Betts United Kingdom
Toni G. Patton United States
Rahul Raghavan United States
Michael C. Pearce United Kingdom
H.I.J. Roest Netherlands
Crystal M. Hepp United States
Karin Lebl Austria
Guangyou Yang China
Ferenc Olasz Hungary
Suzanne A. Ford relative to Stineke van Houte United Kingdom Stineke van Houte's profile →
Citations per field
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Stineke van Houte · 1×
Citations per year

Countries citing papers authored by Suzanne A. Ford

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Suzanne A. Ford Line = papers co-authored together Suzanne A. Ford links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1
MLST revisited: the gene-by-gene approach to bacterial genomics
Hit paper breakdown →
2013487
2 2016130
3 201680
4 201666
5 201629
6 202126
7 202025
8 199017
9 201912
10 202210
11 202010
12 20228
13 20215

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 905 indexed citations. Recurring topics across this work include Insect symbiosis and bacterial influences (7 papers), Evolution and Genetic Dynamics (7 papers), Gut microbiota and health (4 papers), Evolutionary Game Theory and Cooperation (3 papers), Mosquito-borne diseases and control (3 papers), Plant Virus Research Studies (2 papers), Invertebrate Immune Response Mechanisms (1 paper) and Insect and Pesticide Research (1 paper). The work is most often cited by research in Aging (47 citations), Endocrinology (111 citations), Molecular Medicine (92 citations), Insect Science (176 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, Noel McCarthy, Melissa J. Jansen van Rensburg, Keith A. Jolley, Sarah G. Earle, Martin Maiden, James E. Bray, David Williams, Steve Paterson and Damian Kao. Their work appears in journals such as The ISME Journal, Frontiers in Microbiology, Nature Reviews Microbiology, PLoS Pathogens and Molecular Biology and Evolution.

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.

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