Ulrike Dirmeier
Impact in
- Virology top 10%
- Immunology top 10%
- interferon and immune responses
- Immunotherapy and Immune Responses
Papers in
-
- Immunotherapy and Immune Responses 4
- Oncology 6
- Cancer Immunotherapy and Biomarkers 3
- Viral-associated cancers and disorders 3
- Co-authors
- Wolfgang Hammerschmidt (3 shared papers)Ellen Kilger (2 shared papers)Falk Nimmerjahn (2 shared papers)Diana Dudziak (2 shared papers)Georg W. Bornkamm (2 shared papers)Mark L. Sandberg (1 shared paper)Gilbert Reisbach (1 shared paper)Bernhard Neuhierl (1 shared paper)
- Journals
- Journal of Virology (3 papers)PLoS ONE (2 papers)Journal of General Virology (1 paper)Oncotarget (1 paper)Journal of Bacteriology (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Ulrike Dirmeier
14 papers receiving 920 citations
Peers
Comparison fields: 5 of 75
- Virology 78
- Immunology 304
- Oncology 298
- Cancer Research 137
- Infectious Diseases 179
Countries citing papers authored by Ulrike Dirmeier
This map shows the geographic impact of Ulrike Dirmeier'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 Ulrike Dirmeier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ulrike Dirmeier more than expected).
Fields of papers citing papers by Ulrike Dirmeier
This network shows the impact of papers produced by Ulrike Dirmeier. 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 Ulrike Dirmeier. The network helps show where Ulrike Dirmeier may publish in the future.
Co-authors
The 25 scholars most cited alongside Ulrike Dirmeier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 188 | |
| 2 | 2011 | 144 | |
| 3 | 2005 | 123 | |
| 4 | Latent membrane protein 1 is critical for efficient growth transformation of human B cells by epstein-barr virus. | 2003 | 118 |
| 5 | 2018 | 81 | |
| 6 | 2017 | 57 | |
| 7 | 2010 | 45 | |
| 8 | 2003 | 43 | |
| 9 | 2000 | 39 | |
| 10 | 2015 | 26 | |
| 11 | 2013 | 25 | |
| 12 | 2018 | 23 | |
| 13 | 2011 | 23 | |
| 14 | 2017 | 21 |
About Ulrike Dirmeier
Ulrike Dirmeier is a scholar working on Immunology, Oncology, Infectious Diseases, Virology and Epidemiology, having authored 14 papers that have together received 956 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (4 papers), Virus-based gene therapy research (4 papers), Viral Infections and Outbreaks Research (3 papers), Hepatitis B Virus Studies (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Viral-associated cancers and disorders (3 papers), Poxvirus research and outbreaks (2 papers) and Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Virology (78 citations), Immunology (304 citations), Oncology (298 citations), Cancer Research (137 citations) and Infectious Diseases (179 citations). Ulrike Dirmeier has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Wolfgang Hammerschmidt, Ellen Kilger, Falk Nimmerjahn, Diana Dudziak, Georg W. Bornkamm, Mark L. Sandberg, Gilbert Reisbach, Bernhard Neuhierl, Louis M. Staudt and Gerd Hobom. Their work appears in journals such as Journal of Virology, PLoS ONE, Journal of General Virology, Oncotarget and Journal of Bacteriology.
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.