Dina Hoefer

2.2k citations
25 papers · 862 · h-index 13

Impact in

    • COVID-19 epidemiological studies
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Viral gastroenteritis research and epidemiology
    • SARS-CoV-2 detection and testing

Papers in

    • Viral gastroenteritis research and epidemiology 6
    • SARS-CoV-2 and COVID-19 Research 6
    • Influenza Virus Research Studies 5

Dina Hoefer

25 papers receiving 842 citations

Peers

Dina Hoefer
Comparison fields: 5 of 91
  • Modeling and Simulation 175
  • Infectious Diseases 585
  • Health 190
  • Endocrinology 107
  • Food Science 194
Replace Nevashan Govender with:
Nevashan Govender South Africa
Ian D. Plumb United States
Carl Britto India
Lorenzo Pezzoli Switzerland
Gayle P. Dolan United Kingdom
Anagha Loharikar United States
Elisabeth Mungai United States
Shevaun Paine New Zealand
Cherie Drenzek United States
Collins Tabu Kenya
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Citations per field
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Nevashan Govender · 1×
Citations per year

Countries citing papers authored by Dina Hoefer

Since Specialization
Citations

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

Fields of papers citing papers by Dina Hoefer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020153
2 2021129
3 2006125
4 202291
5 202160
6 201451
7 201050
8 202248
9 201035
10 200524
11 201818
12 202014
13 201212
14 201910
15 20068
16 20237
17 20116
18 20225
19 20234
20 20014

About Dina Hoefer

Dina Hoefer is a scholar working on Infectious Diseases, Epidemiology, Food Science, Health and Modeling and Simulation, having authored 25 papers that have together received 862 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (6 papers), Viral gastroenteritis research and epidemiology (6 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Influenza Virus Research Studies (5 papers), Vaccine Coverage and Hesitancy (5 papers), COVID-19 epidemiological studies (5 papers), Food Safety and Hygiene (4 papers) and Escherichia coli research studies (3 papers). The work is most often cited by research in Modeling and Simulation (175 citations), Infectious Diseases (585 citations), Health (190 citations), Endocrinology (107 citations) and Food Science (194 citations). Dina Hoefer has collaborated with scholars based in United States and Kenya. Frequent co-authors include Eli S. Rosenberg, Vajeera Dorabawila, Emily Lutterloh, Ursula E. Bauer, Danielle Greene, Johanne E. Morne, Howard A. Zucker, David R. Holtgräve, Bryon Backenson and Alicia Cronquist. Their work appears in journals such as MMWR Morbidity and Mortality Weekly Report, Foodborne Pathogens and Disease, Clinical Infectious Diseases, Journal of Public Health Management and Practice and The Journal of Pediatrics.

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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