Åshild Vik
Impact in
- Molecular Biology top 2%
- Bacterial biofilms and quorum sensing
- Fungal and yeast genetics research
- Glycosylation and Glycoproteins Research
- Infectious Diseases top 5%
- Antifungal resistance and susceptibility
Papers in
-
- Glycosylation and Glycoproteins Research 12
- Fungal and yeast genetics research 3
- Bacterial biofilms and quorum sensing 2
- Biochemical and Structural Characterization 2
- Ubiquitin and proteasome pathways 1
- Protein Kinase Regulation and GTPase Signaling 1
-
- Bacterial Infections and Vaccines 4
- Co-authors
- Roberto Kolter (3 shared papers)Steven S. Branda (1 shared paper)Lisa Friedman (1 shared paper)Deborah A. Hogan (1 shared paper)Joachim Morschhäuser (1 shared paper)Oliver Reuß (1 shared paper)Jasper Rine (2 shared papers)Michael Koomey (15 shared papers)
- Journals
- Journal of Bacteriology (4 papers)Molecular Microbiology (3 papers)Glycobiology (2 papers)PLoS Pathogens (1 paper)Trends in Microbiology (1 paper)
- Partner nations
- NorwayUnited StatesUnited Kingdom
In The Last Decade
Åshild Vik
20 papers receiving 3.3k citations
Åshild Vik's Hit Papers
Peers
Comparison fields: 5 of 106
- Molecular Biology 2.3k
- Infectious Diseases 589
- Microbiology 138
- Endocrinology 76
- Periodontics 74
Countries citing papers authored by Åshild Vik
This map shows the geographic impact of Åshild Vik'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 Åshild Vik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Åshild Vik more than expected).
Fields of papers citing papers by Åshild Vik
This network shows the impact of papers produced by Åshild Vik. 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 Åshild Vik. The network helps show where Åshild Vik may publish in the future.
Co-authors
The 25 scholars most cited alongside Åshild Vik, 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 | Biofilms: the matrix revisited Hit paper breakdown → | 2004 | 1465 |
| 2 | 2004 | 657 | |
| 3 | 2004 | 501 | |
| 4 | 2001 | 241 | |
| 5 | 2009 | 141 | |
| 6 | 2007 | 105 | |
| 7 | 2010 | 54 | |
| 8 | 2012 | 49 | |
| 9 | 2015 | 27 | |
| 10 | 2000 | 26 | |
| 11 | 2010 | 26 | |
| 12 | 2011 | 25 | |
| 13 | 2012 | 19 | |
| 14 | 2019 | 17 | |
| 15 | 2017 | 16 | |
| 16 | 2020 | 9 | |
| 17 | 2013 | 7 | |
| 18 | 2014 | 6 | |
| 19 | 2018 | 4 | |
| 20 | 2014 | 3 |
About Åshild Vik
Åshild Vik is a scholar working on Molecular Biology, Microbiology, Genetics, Environmental Engineering and Cancer Research, having authored 20 papers that have together received 3.4k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (12 papers), Bacterial Genetics and Biotechnology (5 papers), Bacterial Infections and Vaccines (4 papers), Fungal and yeast genetics research (3 papers), Bacterial biofilms and quorum sensing (2 papers), Biochemical and Structural Characterization (2 papers), Ubiquitin and proteasome pathways (1 paper) and Protein Kinase Regulation and GTPase Signaling (1 paper). The work is most often cited by research in Molecular Biology (2.3k citations), Infectious Diseases (589 citations), Microbiology (138 citations), Endocrinology (76 citations) and Periodontics (74 citations). Åshild Vik has collaborated with scholars based in Norway, United States and United Kingdom. Frequent co-authors include Roberto Kolter, Steven S. Branda, Lisa Friedman, Deborah A. Hogan, Joachim Morschhäuser, Oliver Reuß, Jasper Rine, Michael Koomey, Wolfgang M. Egge-Jacobsen and Finn Erik Aas. Their work appears in journals such as Journal of Bacteriology, Molecular Microbiology, Glycobiology, PLoS Pathogens and Trends in 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.