Nina Ank
Impact in
- Immunology top 2%
- interferon and immune responses
- Immune Cell Function and Interaction
- Immune Response and Inflammation
- Hepatology top 2%
- Hepatitis C virus research
Papers in
-
- interferon and immune responses 7
- Immune Cell Function and Interaction 4
- Immune Response and Inflammation 3
- T-cell and B-cell Immunology 1
- Oncology 5
- Cytokine Signaling Pathways and Interactions 5
- Co-authors
- Søren R. Paludan (8 shared papers)Christina Bartholdy (2 shared papers)Allan Randrup Thomsen (2 shared papers)Rune Hartmann (2 shared papers)Kristina Eriksson (1 shared paper)Ole J. Hamming (1 shared paper)Anders Lade Nielsen (1 shared paper)Marie B. Iversen (2 shared papers)
- Journals
- Journal of Virology (5 papers)BioFactors (1 paper)The Journal of Immunology (1 paper)Journal of Interferon & Cytokine Research (1 paper)
- Partner nations
- DenmarkUnited StatesCanada
In The Last Decade
Nina Ank
8 papers receiving 1.7k citations
Nina Ank's Hit Papers
Peers
Comparison fields: 5 of 73
- Immunology 1.1k
- Hepatology 303
- Epidemiology 594
- Infectious Diseases 264
- Virology 66
Countries citing papers authored by Nina Ank
This map shows the geographic impact of Nina Ank'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 Nina Ank with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nina Ank more than expected).
Fields of papers citing papers by Nina Ank
This network shows the impact of papers produced by Nina Ank. 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 Nina Ank. The network helps show where Nina Ank may publish in the future.
Co-authors
The 20 scholars most cited alongside Nina Ank, 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 | Lambda Interferon (IFN-λ), a Type III IFN, Is Induced by Viruses and IFNs and Displays Potent Antiviral Activity against Select Virus Infections In Vivo Hit paper breakdown → | 2006 | 513 |
| 2 | 2007 | 385 | |
| 3 | 2008 | 358 | |
| 4 | 2006 | 156 | |
| 5 | 2007 | 140 | |
| 6 | 2010 | 80 | |
| 7 | 2009 | 79 | |
| 8 | 2005 | 21 |
About Nina Ank
Nina Ank is a scholar working on Immunology, Oncology, Epidemiology, Molecular Biology and Infectious Diseases, having authored 8 papers that have together received 1.7k indexed citations. Recurring topics across this work include interferon and immune responses (7 papers), Cytokine Signaling Pathways and Interactions (5 papers), Immune Cell Function and Interaction (4 papers), Immune Response and Inflammation (3 papers), Herpesvirus Infections and Treatments (3 papers), T-cell and B-cell Immunology (1 paper) and Melanoma and MAPK Pathways (1 paper). The work is most often cited by research in Immunology (1.1k citations), Hepatology (303 citations), Epidemiology (594 citations), Infectious Diseases (264 citations) and Virology (66 citations). Nina Ank has collaborated with scholars based in Denmark, United States and Canada. Frequent co-authors include Søren R. Paludan, Christina Bartholdy, Allan Randrup Thomsen, Rune Hartmann, Kristina Eriksson, Ole J. Hamming, Anders Lade Nielsen, Marie B. Iversen, Kevin Klucher and Harald S. Haugen. Their work appears in journals such as Journal of Virology, BioFactors, The Journal of Immunology and Journal of Interferon & Cytokine 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.