Jay Worley

578 citations
15 papers · 338 · h-index 10

Impact in

    • Escherichia coli research studies
    • Clostridium difficile and Clostridium perfringens research
    • Viral gastroenteritis research and epidemiology

Papers in

    • Clostridium difficile and Clostridium perfringens research 4
    • Viral gastroenteritis research and epidemiology 4
    • Escherichia coli research studies 5

Jay Worley

15 papers receiving 332 citations

Peers

Jay Worley
Comparison fields: 5 of 51
  • Endocrinology 69
  • Infectious Diseases 148
  • Molecular Medicine 34
  • Food Science 70
  • Gastroenterology 21
Replace Caroline Mullineaux-Sanders with:
Caroline Mullineaux-Sanders United Kingdom
Diana Ring Germany
Karan Gautam Kaval United States
Jacqueline W. Njoroge United States
Demin Cao China
Senthil Sankar France
Yalin Shen China
James Lazenby United Kingdom
Matthew A. Nethery United States
Jay Worley relative to Caroline Mullineaux-Sanders United Kingdom Caroline Mullineaux-Sanders's profile →
Citations per field
00.5×1.5×2.1×
Caroline Mullineaux-Sanders · 1×
Citations per year

Countries citing papers authored by Jay Worley

Since Specialization
Citations

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

Fields of papers citing papers by Jay Worley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay Worley. 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 Jay Worley. The network helps show where Jay Worley may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 202169
2 201860
3 202048
4 201240
5 201223
6 202121
7 202019
8 201715
9 201714
10 201811
11 20197
12 20166
13 20233
14 20181
15 20241

About Jay Worley

Jay Worley is a scholar working on Infectious Diseases, Endocrinology, Food Science, Plant Science and Molecular Biology, having authored 15 papers that have together received 338 indexed citations. Recurring topics across this work include Escherichia coli research studies (5 papers), Plant-Microbe Interactions and Immunity (4 papers), Salmonella and Campylobacter epidemiology (4 papers), Clostridium difficile and Clostridium perfringens research (4 papers), Viral gastroenteritis research and epidemiology (4 papers), Plant Parasitism and Resistance (3 papers), Plant Pathogenic Bacteria Studies (3 papers) and Pharmacological Effects of Natural Compounds (2 papers). The work is most often cited by research in Endocrinology (69 citations), Infectious Diseases (148 citations), Molecular Medicine (34 citations), Food Science (70 citations) and Gastroenterology (21 citations). Jay Worley has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Marc W. Allard, Jianghong Meng, Alan Collmer, Lynn Bry, Suma Chakravarthy, Eric W. Brown, Ruth Timme, Hai‐Lei Wei, Min Dong and Michael J. Mansfield. Their work appears in journals such as PLoS ONE, mBio, Clinical Infectious Diseases, PLoS Pathogens and BMC Genomics.

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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