Katinka Döhner

2.5k citations
37 papers · 1.9k · h-index 22

Impact in

  • Virology top 5%
    • Herpesvirus Infections and Treatments
    • Cytomegalovirus and herpesvirus research

Papers in

    • Herpesvirus Infections and Treatments 25
    • Cytomegalovirus and herpesvirus research 9
    • Toxin Mechanisms and Immunotoxins 14
    • interferon and immune responses 4

Katinka Döhner

36 papers receiving 1.9k citations

Peers

Katinka Döhner
Comparison fields: 5 of 85
  • Virology 212
  • Epidemiology 1.0k
  • Parasitology 172
  • Immunology 534
  • Genetics 508
Replace Gavin S. Wilkie with:
Gavin S. Wilkie United Kingdom
Melanie Ebersold United States
Jens von Einem Germany
Maik J. Lehmann Germany
Yohei Yamauchi Japan
Prashant Desai United States
Amanda D. Stuart United Kingdom
Fred L. Homa United States
Todd W. Wisner United States
Chris Boutell United Kingdom
Katinka Döhner relative to Gavin S. Wilkie United Kingdom Gavin S. Wilkie's profile →
Citations per field
00.5×1.5×2.1×
Gavin S. Wilkie · 1×
Citations per year

Countries citing papers authored by Katinka Döhner

Since Specialization
Citations

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

Fields of papers citing papers by Katinka Döhner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006286
2 2002259
3 2005180
4 2005147
5 2005133
6 2002130
7 2006112
8 201285
9 200766
10 201452
11 201149
12 201836
13 201334
14 201232
15 201731
16 201130
17 201830
18 201727
19 201526
20 201726

About Katinka Döhner

Katinka Döhner is a scholar working on Epidemiology, Immunology, Genetics, Molecular Biology and Dermatology, having authored 37 papers that have together received 1.9k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (25 papers), Toxin Mechanisms and Immunotoxins (14 papers), Cytomegalovirus and herpesvirus research (9 papers), Virus-based gene therapy research (8 papers), Dermatology and Skin Diseases (4 papers), interferon and immune responses (4 papers), Viral-associated cancers and disorders (3 papers) and Toxoplasma gondii Research Studies (3 papers). The work is most often cited by research in Virology (212 citations), Epidemiology (1.0k citations), Parasitology (172 citations), Immunology (534 citations) and Genetics (508 citations). Katinka Döhner has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Beate Sodeik, Kerstin Radtke, Ute Prank, Claus‐Henning Nagel, Christophe J. Echeverri, Richard B. Vallee, Denis Dujardin, Rudolf Bauerfeind, Anne Binz and Simone Schmidt. Their work appears in journals such as Journal of Virology, PLoS Pathogens, Journal of Medical Virology, Current Opinion in Virology and Cellular Microbiology.

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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