Daniela Huzly

3.2k citations
65 papers · 1.4k indexed · h-index 22

Impact in

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

Papers in

    • Hepatitis Viruses Studies and Epidemiology 8
    • SARS-CoV-2 and COVID-19 Research 9
    • Viral gastroenteritis research and epidemiology 7

Daniela Huzly

62 papers receiving 1.3k citations

Peers

Daniela Huzly
Comparison fields: 5 of 101
  • Infectious Diseases 570
  • Hepatology 200
  • Epidemiology 582
  • Virology 41
  • Immunology 162
Replace Ann C.T.M. Vossen with:
Ann C.T.M. Vossen Netherlands
Eithne MacMahon United Kingdom
Frank Mattes United Kingdom
Pierlanfranco D’Agaro Italy
Catherine Mengelle France
Arnaud G. L’Huillier Switzerland
Elke Wollants Belgium
Darius Soonawala Netherlands
Matthias F. C. Beersma Netherlands
Jeff Connell Ireland
Daniela Huzly relative to Ann C.T.M. Vossen Netherlands Ann C.T.M. Vossen's profile →
Citations per field
00.5×1.5×
Ann C.T.M. Vossen · 1×
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-authorship network

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
#Work
1 20232
2 20232
3 202223
4 202217
5 20223
6 202217
7 202237
8 202034
9 20209
10 20197
11 201813
12 201813
13 201728
14 201430
15 201323
16 201011
17 200914
18 200848
19 200318
20 199711

About Daniela Huzly

Daniela Huzly is a scholar working on Hepatology, Infectious Diseases, Epidemiology, Microbiology and Virology, having authored 65 papers that have together received 1.4k indexed citations. Recurring topics across this work include Respiratory viral infections research (10 papers), SARS-CoV-2 and COVID-19 Research (9 papers), Influenza Virus Research Studies (8 papers), Hepatitis Viruses Studies and Epidemiology (8 papers), Multiple Sclerosis Research Studies (7 papers), Viral gastroenteritis research and epidemiology (7 papers), Herpesvirus Infections and Treatments (7 papers) and Hepatitis B Virus Studies (6 papers). The work is most often cited by research in Infectious Diseases (570 citations), Hepatology (200 citations), Epidemiology (582 citations), Virology (41 citations) and Immunology (162 citations). Daniela Huzly has collaborated with scholars based in Germany, United Kingdom and United States. 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, Frontiers in Immunology and Archives of Virology.

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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