Matthew E. Wise
Impact in
- Biotechnology top 1%
- Listeria monocytogenes in Food Safety
- Microbial Inactivation Methods
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
Papers in
-
- Escherichia coli research studies 5
- Vibrio bacteria research studies 4
-
- Listeria monocytogenes in Food Safety 18
- Co-authors
- Steven StroikaFrank SorvilloLaura GieraltowskiDaniel V. ZurawskiAmanda ConradJennifer BealKelly A. JacksonKristina M Angelo
- Journals
- Journal of Food Protection (8 papers)MMWR Morbidity and Mortality Weekly Report (6 papers)Epidemiology and Infection (5 papers)Clinical Infectious Diseases (4 papers)Infection Control and Hospital Epidemiology (4 papers)
- Partner nations
- United StatesCanadaThailand
In The Last Decade
Matthew E. Wise
54 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 122
- Biotechnology 506
- Molecular Medicine 230
- Endocrinology 226
- Food Science 719
- Applied Microbiology and Biotechnology 45
Countries citing papers authored by Matthew E. Wise
This map shows the geographic impact of Matthew E. Wise'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 Matthew E. Wise with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew E. Wise more than expected).
Fields of papers citing papers by Matthew E. Wise
This network shows the impact of papers produced by Matthew E. Wise. 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 Matthew E. Wise. The network helps show where Matthew E. Wise may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew E. Wise, 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 | 2025 | 1 | |
| 2 | 2023 | 8 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 12 | |
| 5 | 2021 | 18 | |
| 6 | 2019 | 9 | |
| 7 | 2019 | 66 | |
| 8 | 2018 | 23 | |
| 9 | 2018 | 8 | |
| 10 | 2017 | 143 | |
| 11 | 2017 | 5 | |
| 12 | 2017 | 21 | |
| 13 | 2016 | 90 | |
| 14 | 2016 | 4 | |
| 15 | 2015 | 10 | |
| 16 | 2015 | 4 | |
| 17 | 2013 | 16 | |
| 18 | 2011 | 22 | |
| 19 | 2005 | 41 | |
| 20 | 2001 | 77 |
About Matthew E. Wise
Matthew E. Wise is a scholar working on Endocrinology, Biotechnology, Food Science, Infectious Diseases and Molecular Medicine, having authored 55 papers that have together received 1.6k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (25 papers), Listeria monocytogenes in Food Safety (18 papers), Food Safety and Hygiene (16 papers), Viral gastroenteritis research and epidemiology (8 papers), Escherichia coli research studies (5 papers), Vibrio bacteria research studies (4 papers), Antibiotic Resistance in Bacteria (4 papers) and Identification and Quantification in Food (4 papers). The work is most often cited by research in Biotechnology (506 citations), Molecular Medicine (230 citations), Endocrinology (226 citations), Food Science (719 citations) and Applied Microbiology and Biotechnology (45 citations). Matthew E. Wise has collaborated with scholars based in United States, Canada and Thailand. Frequent co-authors include Steven Stroika, Frank Sorvillo, Laura Gieraltowski, Daniel V. Zurawski, Amanda Conrad, Jennifer Beal, Kelly A. Jackson, Kristina M Angelo, Eija Trees and Laurene Mascola. Their work appears in journals such as Journal of Food Protection, MMWR Morbidity and Mortality Weekly Report, Epidemiology and Infection, Clinical Infectious Diseases and Infection Control and Hospital Epidemiology.
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.