J. A. Shere
Impact in
- Endocrinology top 0.5%
- Escherichia coli research studies
- Biotechnology top 2%
- Listeria monocytogenes in Food Safety
Papers in
-
- Escherichia coli research studies 7
- Enterobacteriaceae and Cronobacter Research 1
-
- Salmonella and Campylobacter epidemiology 5
- Co-authors
- Charles W. Kaspar (5 shared papers)Tong Zhao (2 shared papers)Lindsey Garber (2 shared papers)Michael P. Doyle (2 shared papers)John B. Luchansky (2 shared papers)Roland Brosch (2 shared papers)Kim Arnold (1 shared paper)N. G. Faith (1 shared paper)
- Journals
- Applied and Environmental Microbiology (4 papers)Veterinary Microbiology (2 papers)Journal of the American Veterinary Medical Association (1 paper)PubMed (1 paper)
- Partner nations
- United StatesSlovakiaTürkiye
In The Last Decade
J. A. Shere
8 papers receiving 941 citations
Peers
Comparison fields: 5 of 55
- Endocrinology 772
- Biotechnology 317
- Food Science 592
- Infectious Diseases 544
- Agronomy and Crop Science 73
Countries citing papers authored by J. A. Shere
This map shows the geographic impact of J. A. Shere'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 J. A. Shere with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. A. Shere more than expected).
Fields of papers citing papers by J. A. Shere
This network shows the impact of papers produced by J. A. Shere. 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 J. A. Shere. The network helps show where J. A. Shere may publish in the future.
Co-authors
The 18 scholars most cited alongside J. A. Shere, 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 | 1995 | 317 | |
| 2 | 1998 | 232 | |
| 3 | 1996 | 222 | |
| 4 | 1995 | 126 | |
| 5 | 2002 | 53 | |
| 6 | 1996 | 27 | |
| 7 | Zoonotic tuberculosis. A comprehensive ONE HEALTH approach. | 2016 | 22 |
| 8 | 2006 | 16 |
About J. A. Shere
J. A. Shere is a scholar working on Endocrinology, Food Science, Infectious Diseases, Agronomy and Crop Science and Small Animals, having authored 8 papers that have together received 1.0k indexed citations. Recurring topics across this work include Escherichia coli research studies (7 papers), Salmonella and Campylobacter epidemiology (5 papers), Viral gastroenteritis research and epidemiology (3 papers), Veterinary medicine and infectious diseases (1 paper), Animal Disease Management and Epidemiology (1 paper), Fecal contamination and water quality (1 paper), Zoonotic diseases and public health (1 paper) and Enterobacteriaceae and Cronobacter Research (1 paper). The work is most often cited by research in Endocrinology (772 citations), Biotechnology (317 citations), Food Science (592 citations), Infectious Diseases (544 citations) and Agronomy and Crop Science (73 citations). J. A. Shere has collaborated with scholars based in United States, Slovakia and Türkiye. Frequent co-authors include Charles W. Kaspar, Tong Zhao, Lindsey Garber, Michael P. Doyle, John B. Luchansky, Roland Brosch, Kim Arnold, N. G. Faith, Jessica Tuttle and Dale D. Hancock. Their work appears in journals such as Applied and Environmental Microbiology, Veterinary Microbiology, Journal of the American Veterinary Medical Association and PubMed.
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.