Danni Daniels

1.6k citations
27 papers · 806 · h-index 16

Impact in

  • Health top 2%
    • Vaccine Coverage and Hesitancy
  • Hepatology top 5%
    • Hepatitis Viruses Studies and Epidemiology
    • Hepatitis C virus research

Papers in

    • Vaccine Coverage and Hesitancy 15
    • Hepatitis B Virus Studies 7
    • Influenza Virus Research Studies 3

Danni Daniels

27 papers receiving 779 citations

Peers

Danni Daniels
Comparison fields: 5 of 100
  • Health 311
  • Hepatology 223
  • Epidemiology 419
  • Infectious Diseases 164
  • Modeling and Simulation 36
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Citations per field
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Citations per year

Countries citing papers authored by Danni Daniels

Since Specialization
Citations

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

Fields of papers citing papers by Danni Daniels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Surveillance for acute viral hepatitis - United States, 2007.
2009165
2 2001102
3
Occupational risk factors for sarcoma subtypes.
199963
4 201750
5 200147
6 201646
7 200041
8 201136
9
Compensating for provider nonresponse using response propensities to form adjustment cells: the National Immunization Survey.
200134
10 199930
11 200129
12 201224
13 199324
14 201821
15 200119
16 201815
17 200112
18 200111
19 20199
20 20038

About Danni Daniels

Danni Daniels is a scholar working on Health, Epidemiology, Hepatology, Infectious Diseases and Cardiology and Cardiovascular Medicine, having authored 27 papers that have together received 806 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (15 papers), Hepatitis Viruses Studies and Epidemiology (9 papers), Hepatitis B Virus Studies (7 papers), Viral gastroenteritis research and epidemiology (6 papers), Viral Infections and Immunology Research (4 papers), Influenza Virus Research Studies (3 papers), Hepatitis C virus research (3 papers) and Bacterial Infections and Vaccines (3 papers). The work is most often cited by research in Health (311 citations), Hepatology (223 citations), Epidemiology (419 citations), Infectious Diseases (164 citations) and Modeling and Simulation (36 citations). Danni Daniels has collaborated with scholars based in United States, Denmark and Switzerland. Frequent co-authors include Annemarie Wasley, Scott Grytdal, R. Monina Klevens, Guillermo A. Herrera, Aaron S. Wallace, Ruth Jiles, Philip J Smith, Victor G. Coronado, Mary M. McCauley and Paige E. Tolbert. Their work appears in journals such as Vaccine, American Journal of Preventive Medicine, Archives of Physical Medicine and Rehabilitation, Clinical Infectious Diseases and International Journal of STD & AIDS.

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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