Åshild Vik

4.0k total citations · 2 hit papers
20 papers, 3.1k citations indexed

About

Åshild Vik is a scholar working on Molecular Biology, Microbiology and Genetics. According to data from OpenAlex, Åshild Vik has authored 20 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 12 papers in Microbiology and 4 papers in Genetics. Recurrent topics in Åshild Vik's work include Glycosylation and Glycoproteins Research (11 papers), Bacterial Infections and Vaccines (11 papers) and Genomics and Phylogenetic Studies (9 papers). Åshild Vik is often cited by papers focused on Glycosylation and Glycoproteins Research (11 papers), Bacterial Infections and Vaccines (11 papers) and Genomics and Phylogenetic Studies (9 papers). Åshild Vik collaborates with scholars based in Norway, United States and United Kingdom. Åshild Vik's co-authors include Roberto Kolter, Steven S. Branda, Lisa Friedman, Oliver Reuß, Joachim Morschhäuser, Deborah A. Hogan, Jasper Rine, Michael Koomey, Wolfgang Egge‐Jacobsen and Finn Erik and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Molecular and Cellular Biology.

In The Last Decade

Åshild Vik

20 papers receiving 3.1k citations

Hit Papers

Biofilms: the matrix revisited 2004 2026 2011 2018 2004 2004 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Åshild Vik Norway 15 2.1k 926 596 344 328 20 3.1k
Iain C. Sutcliffe United Kingdom 36 2.3k 1.1× 759 0.8× 713 1.2× 933 2.7× 403 1.2× 134 4.5k
Michael J. Federle United States 34 2.5k 1.2× 1.5k 1.6× 586 1.0× 332 1.0× 316 1.0× 72 4.6k
Matthew Thoendel United States 21 2.0k 1.0× 931 1.0× 421 0.7× 354 1.0× 109 0.3× 32 3.3k
Emilia Ghelardi Italy 35 1.5k 0.7× 585 0.6× 593 1.0× 459 1.3× 230 0.7× 117 3.2k
Jean-Christophe Giárd France 36 1.4k 0.7× 1.2k 1.3× 348 0.6× 333 1.0× 144 0.4× 88 3.3k
Sünje Johanna Pamp Denmark 23 2.6k 1.3× 707 0.8× 270 0.5× 419 1.2× 107 0.3× 34 3.7k
Axel Hartke France 40 1.8k 0.9× 1.3k 1.4× 335 0.6× 355 1.0× 146 0.4× 117 3.9k
Robert M. Q. Shanks United States 37 2.1k 1.0× 423 0.5× 328 0.6× 401 1.2× 217 0.7× 132 4.2k
Greg A. Somerville United States 36 2.3k 1.1× 1.9k 2.1× 265 0.4× 257 0.7× 164 0.5× 57 3.6k

Countries citing papers authored by Åshild Vik

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Åshild Vik

This figure shows the co-authorship network connecting the top 25 collaborators of Åshild Vik. A scholar is included among the top collaborators of Åshild Vik based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Åshild Vik. Åshild Vik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Anonsen, Jan Haug, Nelson Wang, C. Kevin, et al.. (2019). Genetic determinants of genus-level glycan diversity in a bacterial protein glycosylation system. PLoS Genetics. 15(12). e1008532–e1008532. 15 indexed citations
5.
Anonsen, Jan Haug, Åshild Vik, Bente Børud, et al.. (2015). Characterization of a Unique Tetrasaccharide and Distinct Glycoproteome in the O -Linked Protein Glycosylation System of Neisseria elongata subsp. glycolytica. Journal of Bacteriology. 198(2). 256–267. 25 indexed citations
6.
Vik, Åshild, Jan Haug Anonsen, Finn Erik, et al.. (2014). Type IV Pilus Assembly Proficiency and Dynamics Influence Pilin Subunit Phospho-Form Macro- and Microheterogeneity in Neisseria gonorrhoeae. PLoS ONE. 9(5). e96419–e96419. 3 indexed citations
7.
Erik, Finn, Xi Li, Monica Hongrø Solbakken, et al.. (2014). Cytochrome c ‐based domain modularity governs genus‐level diversification of electron transfer to dissimilatory nitrite reduction. Environmental Microbiology. 17(6). 2114–2132. 6 indexed citations
8.
Vik, Åshild, et al.. (2013). Allelic Variation in a Simple Sequence Repeat Element of Neisserial pglB2 and Its Consequences for Protein Expression and Protein Glycosylation. Journal of Bacteriology. 195(15). 3476–3485. 7 indexed citations
9.
Vik, Åshild, Marina Aspholm, Jan Haug Anonsen, et al.. (2012). Insights into type IV pilus biogenesis and dynamics from genetic analysis of a C‐terminally tagged pilin: a role for O‐linked glycosylation. Molecular Microbiology. 85(6). 1166–1178. 19 indexed citations
10.
Anonsen, Jan Haug, Åshild Vik, Wolfgang Egge‐Jacobsen, & Michael Koomey. (2012). An Extended Spectrum of Target Proteins and Modification Sites in the General O-Linked Protein Glycosylation System in Neisseria gonorrhoeae. Journal of Proteome Research. 11(12). 5781–5793. 47 indexed citations
11.
Anonsen, Jan Haug, Wolfgang Egge‐Jacobsen, Finn Erik, et al.. (2011). Novel Protein Substrates of the Phospho-Form Modification System in Neisseria gonorrhoeae and Their Connection to O -Linked Protein Glycosylation. Infection and Immunity. 80(1). 22–30. 24 indexed citations
12.
Aspholm, Marina, Finn Erik, Odile B. Harrison, et al.. (2010). Structural Alterations in a Component of Cytochrome c Oxidase and Molecular Evolution of Pathogenic Neisseria in Humans. PLoS Pathogens. 6(8). e1001055–e1001055. 26 indexed citations
13.
Børud, Bente, Finn Erik, Åshild Vik, et al.. (2010). Genetic, Structural, and Antigenic Analyses of Glycan Diversity in the O-Linked Protein Glycosylation Systems of HumanNeisseriaSpecies. Journal of Bacteriology. 192(11). 2816–2829. 52 indexed citations
14.
Vik, Åshild, Finn Erik, Jan Haug Anonsen, et al.. (2009). Broad spectrum O-linked protein glycosylation in the human pathogen Neisseria gonorrhoeae. Proceedings of the National Academy of Sciences. 106(11). 4447–4452. 137 indexed citations
15.
Erik, Finn, et al.. (2007). Neisseria gonorrhoeae O‐linked pilin glycosylation: functional analyses define both the biosynthetic pathway and glycan structure. Molecular Microbiology. 65(3). 607–624. 98 indexed citations
16.
Branda, Steven S., Åshild Vik, Lisa Friedman, & Roberto Kolter. (2004). Biofilms: the matrix revisited. Trends in Microbiology. 13(1). 20–26. 1330 indexed citations breakdown →
17.
Hogan, Deborah A., Åshild Vik, & Roberto Kolter. (2004). A Pseudomonas aeruginosa quorum‐sensing molecule influences Candida albicans morphology. Molecular Microbiology. 54(5). 1212–1223. 450 indexed citations
18.
Reuß, Oliver, Åshild Vik, Roberto Kolter, & Joachim Morschhäuser. (2004). The SAT1 flipper, an optimized tool for gene disruption in Candida albicans. Gene. 341. 119–127. 625 indexed citations breakdown →
19.
Vik, Åshild & Jasper Rine. (2001). Upc2p and Ecm22p, Dual Regulators of Sterol Biosynthesis in Saccharomyces cerevisiae. Molecular and Cellular Biology. 21(19). 6395–6405. 227 indexed citations
20.
Vik, Åshild & Jasper Rine. (2000). Membrane biology: Membrane-regulated transcription. Current Biology. 10(23). R869–R871. 26 indexed citations

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.

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