Joy G. Wells
- Endocrinology top 0.02%
- Infectious Diseases top 0.2%
- Food Science top 0.1%
- Biotechnology top 0.1%
- Immunology top 5%
- Co-authors
- Paul A. BlakeMitchell L. CohenKatherine D. GreeneHannah McGeeRobert S. RemisLinda JohnsonNancy T. HargrettLee W. Riley
- Topics
- Viral gastroenteritis research and epidemiology (33 papers)Salmonella and Campylobacter epidemiology (30 papers)Escherichia coli research studies (24 papers)
- Partner nations
- United StatesDenmarkUnited Kingdom
In The Last Decade
Joy G. Wells
77 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Endocrinology 4.6k
- Infectious Diseases 3.4k
- Food Science 2.5k
- Biotechnology 1.4k
- Immunology 770
Countries citing papers authored by Joy G. Wells
This map shows the geographic impact of Joy G. Wells'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 Joy G. Wells with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joy G. Wells more than expected).
Fields of papers citing papers by Joy G. Wells
This network shows the impact of papers produced by Joy G. Wells. 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 Joy G. Wells. The network helps show where Joy G. Wells may publish in the future.
Co-authorship network of co-authors of Joy G. Wells
This figure shows the co-authorship network connecting the top 25 collaborators of Joy G. Wells. A scholar is included among the top collaborators of Joy G. Wells based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Joy G. Wells. Joy G. Wells is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Manual de laboratorio para la identificación y prueba de susceptibilidad a los antimicrobianos de patógenos bacterianos de importancia para la salud pública en el mundo en desarrollo | 5 |
| 2 | 13 | |
| 3 | 139 | |
| 4 | Non‐O157 Shiga Toxin–ProducingEscherichia coliInfections in the United States, 1983–2002breakdown → | 608 |
| 5 | 53 | |
| 6 | 12 | |
| 7 | 97 | |
| 8 | 63 | |
| 9 | 118 | |
| 10 | 127 | |
| 11 | 42 | |
| 12 | 337 | |
| 13 | 5 | |
| 14 | 3 | |
| 15 | 103 | |
| 16 | 193 | |
| 17 | 21 | |
| 18 | 169 | |
| 19 | 17 | |
| 20 | An Epidemic on Two Pediatric Wards | 3 |
About Joy G. Wells
Joy G. Wells is a scholar working on Endocrinology, Food Science and Infectious Diseases, having authored 78 papers that have together received 7.0k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (33 papers), Salmonella and Campylobacter epidemiology (30 papers) and Escherichia coli research studies (24 papers). The work is most often cited by research in Endocrinology (4.6k citations), Infectious Diseases (3.4k citations) and Biotechnology (1.4k citations). Joy G. Wells has collaborated with scholars based in United States, Denmark and United Kingdom. Frequent co-authors include Paul A. Blake, Mitchell L. Cohen, Katherine D. Greene, Hannah McGee, Robert S. Remis, Linda Johnson, Nancy T. Hargrett, Lee W. Riley, Steven D. Helgerson and B. R. Davis. Their work appears in journals such as Nature, Science and New England Journal of Medicine.
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.