Jay Worley
Impact in
- Endocrinology top 5%
- Escherichia coli research studies
- Infectious Diseases top 10%
- Clostridium difficile and Clostridium perfringens research
- Viral gastroenteritis research and epidemiology
Papers in
-
- Viral gastroenteritis research and epidemiology 4
- Clostridium difficile and Clostridium perfringens research 4
-
- Escherichia coli research studies 5
- Co-authors
- Marc W. Allard (5 shared papers)Jianghong Meng (5 shared papers)Alan Collmer (3 shared papers)Lynn Bry (7 shared papers)Suma Chakravarthy (2 shared papers)Eric W. Brown (2 shared papers)Ruth Timme (1 shared paper)Hai‐Lei Wei (1 shared paper)
- Journals
- PLoS ONE (3 papers)mBio (2 papers)Journal of Infection (1 paper)Journal of Clinical Microbiology (1 paper)Clinical Infectious Diseases (1 paper)
- Partner nations
- United StatesJapanCanada
In The Last Decade
Jay Worley
15 papers receiving 353 citations
Peers
Comparison fields: 5 of 52
- Endocrinology 70
- Infectious Diseases 147
- Molecular Medicine 27
- Food Science 71
- Gastroenterology 19
Countries citing papers authored by Jay Worley
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 71 | |
| 2 | 2018 | 65 | |
| 3 | 2020 | 51 | |
| 4 | 2012 | 41 | |
| 5 | 2012 | 23 | |
| 6 | 2021 | 21 | |
| 7 | 2020 | 20 | |
| 8 | 2017 | 15 | |
| 9 | 2017 | 15 | |
| 10 | 2018 | 12 | |
| 11 | 2019 | 8 | |
| 12 | 2023 | 7 | |
| 13 | 2016 | 6 | |
| 14 | 2024 | 2 | |
| 15 | 2018 | 1 | |
| 16 | 2025 | 0 |
About Jay Worley
Jay Worley is a scholar working on Infectious Diseases, Endocrinology, Food Science, Molecular Biology and Plant Science, having authored 16 papers that have together received 358 indexed citations. Recurring topics across this work include Escherichia coli research studies (5 papers), Viral gastroenteritis research and epidemiology (4 papers), Clostridium difficile and Clostridium perfringens research (4 papers), Salmonella and Campylobacter epidemiology (4 papers), Plant-Microbe Interactions and Immunity (3 papers), Pharmacological Effects of Natural Compounds (2 papers), Plant Parasitism and Resistance (2 papers) and Listeria monocytogenes in Food Safety (2 papers). The work is most often cited by research in Endocrinology (70 citations), Infectious Diseases (147 citations), Molecular Medicine (27 citations), Food Science (71 citations) and Gastroenterology (19 citations). Jay Worley has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Marc W. Allard, Jianghong Meng, Alan Collmer, Lynn Bry, Suma Chakravarthy, Eric W. Brown, Ruth Timme, Hai‐Lei Wei, Benjamin J.-M. Tremblay and Ji Zeng. Their work appears in journals such as PLoS ONE, mBio, Journal of Infection, Journal of Clinical Microbiology and Clinical Infectious Diseases.
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.