Daniela Stadler

2.0k citations
14 papers · 537 · h-index 10

Impact in

  • Hepatology top 5%
    • Hepatitis C virus research
  • Epidemiology top 10%
    • Hepatitis B Virus Studies
    • Liver Disease Diagnosis and Treatment

Papers in

    • Hepatitis B Virus Studies 8
    • Viral Infectious Diseases and Gene Expression in Insects 1
    • Protein purification and stability 1

Daniela Stadler

14 papers receiving 530 citations

Peers

Daniela Stadler
Comparison fields: 5 of 62
  • Hepatology 190
  • Epidemiology 308
  • Virology 37
  • Immunology 156
  • Infectious Diseases 109
Replace Gregor Ebert with:
Gregor Ebert Australia
Knud Esser Germany
Liudi Tang United States
Philipp Schult Germany
Lucie Fénéant France
Wakana Saso Japan
Sumudu Narayana Australia
Jochen M. Wettengel Germany
Nan L. Li United States
Chunkyu Ko Germany
Daniela Stadler relative to Gregor Ebert Australia Gregor Ebert's profile →
Citations per field
00.5×1.5×
Gregor Ebert · 1×
Citations per year

Countries citing papers authored by Daniela Stadler

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Stadler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2018169
2 2016154
3 202134
4 201634
5 201333
6 201826
7 201925
8 202317
9 202215
10 202013
11 20237
12 20244
13 20154
14 20142

About Daniela Stadler

Daniela Stadler is a scholar working on Epidemiology, Molecular Biology, Immunology, Hepatology and Infectious Diseases, having authored 14 papers that have together received 537 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (8 papers), Hepatitis C virus research (4 papers), interferon and immune responses (3 papers), HIV Research and Treatment (2 papers), Virus-based gene therapy research (2 papers), Immune Response and Inflammation (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper) and Protein purification and stability (1 paper). The work is most often cited by research in Hepatology (190 citations), Epidemiology (308 citations), Virology (37 citations), Immunology (156 citations) and Infectious Diseases (109 citations). Daniela Stadler has collaborated with scholars based in Germany, Switzerland and Slovakia. Frequent co-authors include Ulrike Protzer, Chunkyu Ko, Jochen M. Wettengel, Yuchen Xia, Antje Malo, Anne Kruse Hollensen, Karin Wisskirchen, Frederik Dagnæs‐Hansen, Anindita Chakraborty and Søren R. Paludan. Their work appears in journals such as European Journal of Pharmaceutics and Biopharmaceutics, Journal of Hepatology, Hepatology, Microbiology Spectrum and Antiviral 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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