Katinka Döhner
Impact in
- Virology top 5%
- Epidemiology top 2%
- Herpesvirus Infections and Treatments
- Cytomegalovirus and herpesvirus research
Papers in
- Epidemiology 27
- Herpesvirus Infections and Treatments 25
- Cytomegalovirus and herpesvirus research 9
- Immunology 16
- Toxin Mechanisms and Immunotoxins 12
- interferon and immune responses 4
- Co-authors
- Beate Sodeik (35 shared papers)Kerstin Radtke (3 shared papers)Claus‐Henning Nagel (6 shared papers)Ute Prank (5 shared papers)Christophe J. Echeverri (1 shared paper)Richard B. Vallee (1 shared paper)Denis Dujardin (1 shared paper)Rudolf Bauerfeind (6 shared papers)
- Journals
- Journal of Virology (9 papers)PLoS Pathogens (3 papers)Current Opinion in Virology (2 papers)Cellular Microbiology (2 papers)PLoS ONE (2 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Katinka Döhner
36 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 84
- Virology 203
- Epidemiology 1.0k
- Parasitology 155
- Immunology 479
- Genetics 484
Countries citing papers authored by Katinka Döhner
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
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.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 286 | |
| 2 | 2002 | 259 | |
| 3 | 2005 | 179 | |
| 4 | 2005 | 147 | |
| 5 | 2005 | 135 | |
| 6 | 2002 | 130 | |
| 7 | 2006 | 112 | |
| 8 | 2012 | 85 | |
| 9 | 2007 | 66 | |
| 10 | 2014 | 52 | |
| 11 | 2011 | 49 | |
| 12 | 2018 | 36 | |
| 13 | 2013 | 34 | |
| 14 | 2012 | 32 | |
| 15 | 2017 | 31 | |
| 16 | 2018 | 30 | |
| 17 | 2011 | 30 | |
| 18 | 2017 | 27 | |
| 19 | 2015 | 27 | |
| 20 | 2017 | 27 |
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 (12 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 Antimicrobial Peptides and Activities (2 papers). The work is most often cited by research in Virology (203 citations), Epidemiology (1.0k citations), Parasitology (155 citations), Immunology (479 citations) and Genetics (484 citations). Katinka Döhner has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Beate Sodeik, Kerstin Radtke, Claus‐Henning Nagel, Ute Prank, 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, Current Opinion in Virology, Cellular Microbiology and PLoS ONE.
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.