Effi Wies
Impact in
- Immunology top 5%
- interferon and immune responses
- Immune Response and Inflammation
- Immune Cell Function and Interaction
- Oncology top 5%
- Viral-associated cancers and disorders
Papers in
- Oncology 8
- Viral-associated cancers and disorders 7
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- Cytomegalovirus and herpesvirus research 6
- Herpesvirus Infections and Treatments 4
- Co-authors
- Michaela U. Gack (3 shared papers)Frank Neipel (8 shared papers)Michael Stürzl (6 shared papers)Alexander Hahn (4 shared papers)May K. Wang (1 shared paper)Shenghua Zhou (1 shared paper)Robert W. Finberg (1 shared paper)Katharina Schmidt (3 shared papers)
- Journals
- Journal of Virology (5 papers)Nature Medicine (1 paper)Blood (1 paper)Combinatorial Chemistry & High Throughput Screening (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- GermanyUnited StatesJapan
In The Last Decade
Effi Wies
11 papers receiving 1.1k citations
Effi Wies's Hit Papers
Peers
Comparison fields: 5 of 66
- Immunology 566
- Oncology 424
- Infectious Diseases 237
- Epidemiology 331
- Molecular Biology 335
Countries citing papers authored by Effi Wies
This map shows the geographic impact of Effi Wies'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 Effi Wies with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Effi Wies more than expected).
Fields of papers citing papers by Effi Wies
This network shows the impact of papers produced by Effi Wies. 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 Effi Wies. The network helps show where Effi Wies may publish in the future.
Co-authors
The 25 scholars most cited alongside Effi Wies, 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 | 2013 | 250 | |
| 2 | ISG15-dependent activation of the sensor MDA5 is antagonized by the SARS-CoV-2 papain-like protease to evade host innate immunity Hit paper breakdown → | 2021 | 219 |
| 3 | 2012 | 140 | |
| 4 | 2007 | 94 | |
| 5 | 2011 | 94 | |
| 6 | 2009 | 65 | |
| 7 | 2008 | 55 | |
| 8 | 2007 | 52 | |
| 9 | 2011 | 42 | |
| 10 | 2009 | 39 | |
| 11 | 2008 | 17 |
About Effi Wies
Effi Wies is a scholar working on Oncology, Epidemiology, Immunology, Molecular Biology and Infectious Diseases, having authored 11 papers that have together received 1.1k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (7 papers), Cytomegalovirus and herpesvirus research (6 papers), Herpesvirus Infections and Treatments (4 papers), interferon and immune responses (3 papers), Immune Cell Function and Interaction (2 papers), Immune Response and Inflammation (2 papers), Inflammasome and immune disorders (2 papers) and T-cell and Retrovirus Studies (1 paper). The work is most often cited by research in Immunology (566 citations), Oncology (424 citations), Infectious Diseases (237 citations), Epidemiology (331 citations) and Molecular Biology (335 citations). Effi Wies has collaborated with scholars based in Germany, United States and Japan. Frequent co-authors include Michaela U. Gack, Frank Neipel, Michael Stürzl, Alexander Hahn, May K. Wang, Shenghua Zhou, Robert W. Finberg, Katharina Schmidt, Andrej Stoll and Bernhard Fleckenstein. Their work appears in journals such as Journal of Virology, Nature Medicine, Blood, Combinatorial Chemistry & High Throughput Screening and Journal of Biological Chemistry.
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.