Daniela Huzly

3.3k citations
65 papers · 1.4k · h-index 22

Impact in

    • Viral Infections and Vectors
    • Viral gastroenteritis research and epidemiology
  • Hepatology top 5%
    • Hepatitis Viruses Studies and Epidemiology

Papers in

    • Herpesvirus Infections and Treatments 6
    • Influenza Virus Research Studies 6
    • Hepatitis B Virus Studies 5
    • Respiratory viral infections research 5
    • Viral gastroenteritis research and epidemiology 7
    • SARS-CoV-2 and COVID-19 Research 6

Daniela Huzly

62 papers receiving 1.3k citations

Peers

Daniela Huzly
Comparison fields: 5 of 94
  • Infectious Diseases 456
  • Hepatology 167
  • Epidemiology 495
  • Virology 36
  • Public Health, Environmental and Occupational Health 195
Replace Eithne MacMahon with:
Eithne MacMahon United Kingdom
Christoph Steininger Austria
Ann C.T.M. Vossen Netherlands
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Pierlanfranco D’Agaro Italy
Katja Steinhagen Germany
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Citations per field
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Citations per year

Countries citing papers authored by Daniela Huzly

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Huzly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016108
2 2008100
3 200993
4 201483
5 200773
6 200469
7 199760
8 200849
9 199640
10 202238
11 202034
12 201534
13 201332
14 201532
15 201631
16 201430
17 201728
18 202226
19 201724
20 201323

About Daniela Huzly

Daniela Huzly is a scholar working on Epidemiology, Infectious Diseases, Hepatology, Molecular Biology and Pathology and Forensic Medicine, having authored 65 papers that have together received 1.4k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (7 papers), Hepatitis Viruses Studies and Epidemiology (7 papers), Herpesvirus Infections and Treatments (6 papers), Influenza Virus Research Studies (6 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Hepatitis B Virus Studies (5 papers), Respiratory viral infections research (5 papers) and Multiple Sclerosis Research Studies (5 papers). The work is most often cited by research in Infectious Diseases (456 citations), Hepatology (167 citations), Epidemiology (495 citations), Virology (36 citations) and Public Health, Environmental and Occupational Health (195 citations). Daniela Huzly has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Marcus Panning, Thomas Schenk, Jonas Schmidt‐Chanasit, Martin Enders, Ulrich Bienzle, Stefan Pollak, D. Neumann‐Haefelin, Sebastian Rauer, Jürgen J. Wenzel and Tilman Hottenrott. Their work appears in journals such as Journal of Clinical Virology, Eurosurveillance, Journal of Clinical Microbiology, Fluids and Barriers of the CNS and Frontiers in Immunology.

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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