Matthew E. Wise

12 papers receiving 698 citations

Matthew E. Wise's Hit Papers

Surveillance for Foodborne Disease Outbreaks — United States, 2009–2015 2018 · 416 citations
4160+2+5Years since publication100200300400

Peers

Matthew E. Wise
Comparison fields: 5 of 108
  • Biotechnology 144
  • Food Science 278
  • Infectious Diseases 217
  • Endocrinology 59
  • Hepatology 73
Replace F. J. Angulo with:
F. J. Angulo United States
Umid Sharapov United States
Nora Pisanic United States
K. Gaarslev Denmark
Manuela Tamburro Italy
David R. Macinga United States
Elaine Scallan Walter United States
Anita Rampling United Kingdom
Nirmal Kumar Mohakud India
Metehan Özen Türkiye
Matthew E. Wise relative to F. J. Angulo United States F. J. Angulo's profile →
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Citations per year

Countries citing papers authored by Matthew E. Wise

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Matthew E. Wise Line = papers co-authored together Matthew E. Wise links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
Surveillance for Foodborne Disease Outbreaks — United States, 2009–2015
Hit paper breakdown →
2018416
2 2012136
3 200853
4 201039
5 201818
6 201216
7 200515
8 20089
9 20119
10 20159
11 20003
12 20151

About Matthew E. Wise

Matthew E. Wise is a scholar working on Infectious Diseases, Epidemiology, Hepatology, Cardiology and Cardiovascular Medicine and Modeling and Simulation, having authored 12 papers that have together received 724 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (2 papers), Hepatitis B Virus Studies (2 papers), Hepatitis Viruses Studies and Epidemiology (2 papers), COVID-19 epidemiological studies (2 papers), Diabetes Management and Research (1 paper), Glaucoma and retinal disorders (1 paper), Surgical site infection prevention (1 paper) and Salmonella and Campylobacter epidemiology (1 paper). The work is most often cited by research in Biotechnology (144 citations), Food Science (278 citations), Infectious Diseases (217 citations), Endocrinology (59 citations) and Hepatology (73 citations). Matthew E. Wise has collaborated with scholars based in United States, Kenya and Uganda. Frequent co-authors include Daniel Dewey-Mattia, Aron J. Hall, Karunya Manikonda, Samuel J. Crowe, Lyn Finelli, Tara M. Vogt, Beth P. Bell, Frank Sorvillo, Rachel M. Smith and Duc B. Nguyen. Their work appears in journals such as Epidemiology and Infection, Clinical Infectious Diseases, Journal of Glaucoma, Infection Control and Hospital Epidemiology 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.

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