David Sweat

699 citations
13 papers · 314 · h-index 8

Impact in

    • Listeria monocytogenes in Food Safety
    • Microbial Inactivation Methods
  • Food Science top 10%
    • Food Safety and Hygiene
    • Salmonella and Campylobacter epidemiology
    • Essential Oils and Antimicrobial Activity

Papers in

David Sweat

12 papers receiving 296 citations

Peers

David Sweat
Comparison fields: 5 of 65
  • Biotechnology 98
  • Food Science 116
  • Infectious Diseases 105
  • Endocrinology 23
  • Medical Terminology 1
Replace Maryam Sanaei with:
Maryam Sanaei Iran
John Feldman United States
Ettore Amato Italy
Georgia Mandilara Greece
C Manuel United States
J. Glenn Morris United States
K. W. Martin United Kingdom
Felipe de Jesús Peraza‐Garay Mexico
R. Reid Harvey United States
Valerie F. Boras Canada
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Citations per field
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Citations per year

Countries citing papers authored by David Sweat

Since Specialization
Citations

This map shows the geographic impact of David Sweat'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 David Sweat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Sweat more than expected).

Fields of papers citing papers by David Sweat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Sweat. 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 David Sweat. The network helps show where David Sweat may publish in the future.

Co-authors

The 25 scholars most cited alongside David Sweat, 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 David Sweat Line = papers co-authored together David Sweat links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2011109
2 201188
3 201125
4 201319
5 201616
6 201915
7
Cryptosporidiosis Outbreak Associated With a Single Hotel.
201715
8 20129
9 20187
10 20167
11 20182
12 20111
13
FoodCORE (Foodborne Diseases Centers for Outbreak Response Enhancement) : Improving foodborne disease outbreak response capacity in state and local health departments, year one summary report.
20131

About David Sweat

David Sweat is a scholar working on Infectious Diseases, Food Science, Molecular Biology, General Health Professions and Health, Toxicology and Mutagenesis, having authored 13 papers that have together received 314 indexed citations. Recurring topics across this work include Food Safety and Hygiene (3 papers), Viral gastroenteritis research and epidemiology (3 papers), Listeria monocytogenes in Food Safety (2 papers), Salmonella and Campylobacter epidemiology (2 papers), Global Health Care Issues (1 paper), Water Treatment and Disinfection (1 paper), Vibrio bacteria research studies (1 paper) and Gastrointestinal motility and disorders (1 paper). The work is most often cited by research in Biotechnology (98 citations), Food Science (116 citations), Infectious Diseases (105 citations), Endocrinology (23 citations) and Medical Terminology (1 citation). David Sweat has collaborated with scholars based in United States. Frequent co-authors include Ryan Fagan, Rachel Klos, Matthew Biggerstaff, Melissa Tobin‐D’Angelo, Lori Saathoff-Huber, Kelly A. Jackson, Mark D. Sobsey, Anna Pierce, Aron J. Hall and Sharon A. Greene. Their work appears in journals such as Emerging infectious diseases, MMWR Morbidity and Mortality Weekly Report, International Journal of Environmental Research and Public Health, Clinical Infectious Diseases and Preventing Chronic Disease.

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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