Debra Hauer

836 citations
18 papers · 627 · h-index 14

Impact in

  • Virology top 5%
    • HIV Research and Treatment
    • SARS-CoV-2 and COVID-19 Research
    • Viral Infections and Vectors
    • Viral gastroenteritis research and epidemiology

Papers in

    • Virology and Viral Diseases 9
    • Respiratory viral infections research 7
    • interferon and immune responses 4
    • Immune responses and vaccinations 3

Debra Hauer

18 papers receiving 615 citations

Peers

Debra Hauer
Comparison fields: 5 of 62
  • Virology 142
  • Infectious Diseases 314
  • Immunology 209
  • Epidemiology 341
  • Health 43
Replace Katharina S. Schmitz with:
Katharina S. Schmitz Netherlands
Ivica Pavić Croatia
Emanuela Pelosi United Kingdom
Massimiliano Secchi Italy
Yanmei Jiao China
Colin Mann United States
Veronika Chromikova United States
Lucas J. Adams United States
Talitha Veith Germany
Longding Liu China
Debra Hauer relative to Katharina S. Schmitz Netherlands Katharina S. Schmitz's profile →
Citations per field
00.5×1.5×1.8×
Katharina S. Schmitz · 1×
Citations per year

Countries citing papers authored by Debra Hauer

Since Specialization
Citations

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

Fields of papers citing papers by Debra Hauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2004124
2 201897
3 199392
4 200764
5 201040
6 201732
7 200122
8 202022
9 202021
10 201321
11 201719
12 201417
13 200315
14 200114
15 200312
16 20208
17 20206
18 20221

About Debra Hauer

Debra Hauer is a scholar working on Epidemiology, Immunology, Infectious Diseases, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 18 papers that have together received 627 indexed citations. Recurring topics across this work include Virology and Viral Diseases (9 papers), Respiratory viral infections research (7 papers), interferon and immune responses (4 papers), Viral Infections and Immunology Research (4 papers), HIV Research and Treatment (3 papers), Immune responses and vaccinations (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Virology (142 citations), Infectious Diseases (314 citations), Immunology (209 citations), Epidemiology (341 citations) and Health (43 citations). Debra Hauer has collaborated with scholars based in United States, Thailand and Estonia. Frequent co-authors include Diane E. Griffin, Robert J. Adams, Janice E. Clements, Sanjay V. Joag, M. Christine Zink, William J. Moss, Dharam P. Sharma, Michaela A. Riddell, Opendra Narayan and Mwaka Monze. Their work appears in journals such as Scientific Reports, The Journal of Infectious Diseases, Virology, Journal of Virology and Journal of Interferon & Cytokine Research.

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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