Sherry L. Ayers

54 papers receiving 4.3k citations

Sherry L. Ayers's Hit Papers

Whole-Genome Sequencing for Detecting Antimicrobial Resistance in Nontyphoidal Salmonella 2016 · 317 citations
3170+3+6Years since publication100200300

Peers

Sherry L. Ayers
Comparison fields: 5 of 61
  • Molecular Medicine 934
  • Food Science 1.9k
  • Endocrinology 371
  • Applied Microbiology and Biotechnology 103
  • Pollution 94
Replace Hein Imberechts with:
Hein Imberechts Belgium
Margaret A. Davis United States
Jean M. Whichard United States
Luke P. Randall United Kingdom
E. John Threlfall United Kingdom
Jun Lin United States
Steven L. Foley United States
David D. Wagner United States
Sophie A. Granier France
Valeria Bortolaia Denmark
Sherry L. Ayers relative to Hein Imberechts Belgium Hein Imberechts's profile →
Citations per field
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Citations per year

Countries citing papers authored by Sherry L. Ayers

Since Specialization
Citations

This map shows the geographic impact of Sherry L. Ayers'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 Sherry L. Ayers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sherry L. Ayers more than expected).

Fields of papers citing papers by Sherry L. Ayers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sherry L. Ayers. 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 Sherry L. Ayers. The network helps show where Sherry L. Ayers may publish in the future.

Co-authors

The 25 scholars most cited alongside Sherry L. Ayers, 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 Sherry L. Ayers Line = papers co-authored together Sherry L. Ayers links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001465
2 2012404
3 2004396
4
Whole-Genome Sequencing for Detecting Antimicrobial Resistance in Nontyphoidal Salmonella
Hit paper breakdown →
2016317
5 2001206
6 2000181
7 2005178
8 2001176
9 2005143
10 2005140
11 2017134
12 2008124
13 2020111
14 2002107
15 2007104
16 2014104
17 201696
18 200685
19 201074
20 200669

About Sherry L. Ayers

Sherry L. Ayers is a scholar working on Food Science, Molecular Medicine, Endocrinology, Infectious Diseases and Nuclear Energy and Engineering, having authored 54 papers that have together received 4.6k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (32 papers), Antibiotic Resistance in Bacteria (7 papers), Escherichia coli research studies (6 papers) and Antimicrobial Resistance in Staphylococcus (2 papers). The work is most often cited by research in Molecular Medicine (934 citations), Food Science (1.9k citations), Endocrinology (371 citations), Applied Microbiology and Biotechnology (103 citations) and Pollution (94 citations). Sherry L. Ayers has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Shaohua Zhao, Patrick F. McDermott, David Gordon White, Jianghong Meng, Sharon L. Friedman, John J. Maurer, Sheng Chen, David D. Wagner, Gregory H. Tyson and Jason W. Abbott. Their work appears in journals such as Applied and Environmental Microbiology, Journal of Food Protection, Antimicrobial Agents and Chemotherapy, Foodborne Pathogens and Disease and Frontiers in Microbiology.

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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