Mikael Skurnik

13.9k total citations · 1 hit paper
255 papers, 10.3k citations indexed

About

Mikael Skurnik is a scholar working on Genetics, Molecular Biology and Pharmacology. According to data from OpenAlex, Mikael Skurnik has authored 255 papers receiving a total of 10.3k indexed citations (citations by other indexed papers that have themselves been cited), including 172 papers in Genetics, 93 papers in Molecular Biology and 71 papers in Pharmacology. Recurrent topics in Mikael Skurnik's work include Yersinia bacterium, plague, ectoparasites research (163 papers), Bacteriophages and microbial interactions (69 papers) and Pharmacological Effects of Natural Compounds (65 papers). Mikael Skurnik is often cited by papers focused on Yersinia bacterium, plague, ectoparasites research (163 papers), Bacteriophages and microbial interactions (69 papers) and Pharmacological Effects of Natural Compounds (65 papers). Mikael Skurnik collaborates with scholars based in Finland, Germany and Poland. Mikael Skurnik's co-authors include Paavo Toivanen, José A. Bengoechea, Saija Kiljunen, Maria I. Pajunen, Hans Wolf‐Watz, Eckhard Strauch, Pentti Huovinen, Ayman Al‐Hendy, Reija Venho and Helena Seppälä and has published in prestigious journals such as Nature, JAMA and Nucleic Acids Research.

In The Last Decade

Mikael Skurnik

248 papers receiving 9.9k citations

Hit Papers

Pili-like proteins of Akkermansia muciniphila modulate ho... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mikael Skurnik Finland 57 4.7k 3.8k 2.4k 2.1k 1.6k 255 10.3k
Guy R. Cornelis Belgium 71 10.3k 2.2× 5.6k 1.5× 1.4k 0.6× 6.8k 3.2× 1.7k 1.0× 211 16.2k
Jürgen Heesemann Germany 58 3.0k 0.7× 3.5k 0.9× 553 0.2× 2.2k 1.0× 2.0k 1.2× 181 9.7k
Ralph R. Isberg United States 74 3.6k 0.8× 7.8k 2.0× 908 0.4× 9.6k 4.5× 1.6k 1.0× 203 17.2k
Joan Mecsas United States 38 2.3k 0.5× 3.0k 0.8× 738 0.3× 1.5k 0.7× 920 0.6× 72 6.8k
Petra C. F. Oyston United Kingdom 41 2.8k 0.6× 3.9k 1.0× 941 0.4× 765 0.4× 1.1k 0.7× 116 6.5k
Giovanna Morelli Germany 28 1.9k 0.4× 2.5k 0.6× 876 0.4× 851 0.4× 853 0.5× 42 6.8k
Susan L. Welkos United States 46 3.1k 0.7× 4.0k 1.0× 1.0k 0.4× 607 0.3× 1.1k 0.7× 111 5.7k
Roy Curtiss United States 67 3.1k 0.7× 5.3k 1.4× 3.0k 1.2× 4.7k 2.2× 4.1k 2.5× 297 15.8k
Duncan J. Maskell United Kingdom 62 1.8k 0.4× 3.7k 1.0× 2.5k 1.0× 3.1k 1.5× 3.0k 1.8× 241 12.5k
Edward J. Bottone United States 36 1.6k 0.3× 1.5k 0.4× 440 0.2× 944 0.4× 1.5k 0.9× 194 5.9k

Countries citing papers authored by Mikael Skurnik

Since Specialization
Citations

This map shows the geographic impact of Mikael Skurnik'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 Mikael Skurnik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikael Skurnik more than expected).

Fields of papers citing papers by Mikael Skurnik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mikael Skurnik. 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 Mikael Skurnik. The network helps show where Mikael Skurnik may publish in the future.

Co-authorship network of co-authors of Mikael Skurnik

This figure shows the co-authorship network connecting the top 25 collaborators of Mikael Skurnik. A scholar is included among the top collaborators of Mikael Skurnik 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 Mikael Skurnik. Mikael Skurnik 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
1.
2.
Kianian, Farzaneh, Behnaz Jahanbin, Maryam Edalatifard, et al.. (2025). Predatory bacteria can intensify lung-injury in a multidrug-resistant Acinetobacter baumannii pneumonia model in rat. Frontiers in Microbiology. 16. 1512119–1512119.
3.
4.
Kiljunen, Saija, et al.. (2023). Characterization and genome analysis of Escherichia phage fBC-Eco01, isolated from wastewater in Tunisia. Archives of Virology. 168(2). 44–44. 3 indexed citations
5.
6.
Townsend, Eleanor R., Lucy Kelly, Rhys A. Dunstan, et al.. (2021). Isolation and Characterization of Klebsiella Phages for Phage Therapy. PubMed. 2(1). 26–42. 56 indexed citations
7.
Świerzko, Anna S., et al.. (2020). The Role of Yersinia enterocolitica O:3 Lipopolysaccharide in Collagen‐Induced Arthritis. Journal of Immunology Research. 2020(1). 7439506–7439506. 6 indexed citations
8.
Yerushalmy, Ortal, Shunit Coppenhagen‐Glazer, Ran Nir‐Paz, et al.. (2019). Complete Genome Sequences of Two Klebsiella pneumoniae Phages Isolated as Part of an International Effort. Microbiology Resource Announcements. 8(38). 10 indexed citations
9.
Nikkari, Simo, et al.. (2017). Phylogeographic separation and formation of sexually discrete lineages in a global population of Yersinia pseudotuberculosis. Microbial Genomics. 3(10). e000133–e000133. 6 indexed citations
10.
Leon-Velarde, Carlos G., Lotta Happonen, Maria I. Pajunen, et al.. (2016). Yersinia enterocolitica-Specific Infection by Bacteriophages TG1 and ϕR1-RT Is Dependent on Temperature-Regulated Expression of the Phage Host Receptor OmpF. Applied and Environmental Microbiology. 82(17). 5340–5353. 38 indexed citations
11.
Palonen, Eveliina, Panu Somervuo, Miia Lindström, et al.. (2012). Sequencing of Virulence Genes Shows Limited Genetic Variability in Yersinia pseudotuberculosis. Foodborne Pathogens and Disease. 10(1). 21–27. 2 indexed citations
12.
Sihvonen, Leila M., Saija Hallanvuo, Kaisa Haukka, Mikael Skurnik, & Anja Siitonen. (2011). The ail Gene Is Present in Some Yersinia enterocolitica Biotype 1A Strains. Foodborne Pathogens and Disease. 8(3). 455–457. 38 indexed citations
13.
Duda, Katarzyna, Anna Hanuszkiewicz, Tiina A. Salminen, et al.. (2010). Characterization of the Six Glycosyltransferases Involved in the Biosynthesis of Yersinia enterocolitica Serotype O:3 Lipopolysaccharide Outer Core. Journal of Biological Chemistry. 285(36). 28333–28342. 21 indexed citations
14.
Castro, Cristina De, Johanna J. Kenyon, Peter R. Reeves, et al.. (2010). Genetic characterisation and structural analysis of the O-specific polysaccharide of Yersinia pseudotuberculosis serotype O:1c. Faculty of Health; Institute of Health and Biomedical Innovation. 1 indexed citations
15.
Hyvärinen, Kati, Saara Laitinen, Susanna Paju, et al.. (2009). Detection and quantification of five major periodontal pathogens by single copy gene-based real-time PCR. STM:n Hallinnonalan avoin julkaisuarkisto (Julkari). 2 indexed citations
16.
Kiljunen, Saija, et al.. (2005). Yersiniophage ϕR1-37 is a tailed bacteriophage having a 270 kb DNA genome with thymidine replaced by deoxyuridine. Microbiology. 151(12). 4093–4102. 84 indexed citations
17.
Bogdanovich, Tatiana, Élisabeth Carniel, Hiroshi Fukushima, & Mikael Skurnik. (2003). Use of O-Antigen Gene Cluster-Specific PCRs for the Identification and O-Genotyping of Yersinia pseudotuberculosis and Yersinia pestis. Journal of Clinical Microbiology. 41(11). 5103–5112. 78 indexed citations
18.
Nikkari, Simo, et al.. (1994). No evidence of adenoviral hexon regions in rheumatoid synovial cells and tissue.. PubMed. 21(12). 2179–83. 1 indexed citations
19.
Skurnik, Mikael & Paavo Toivanen. (1993). Yersinia enterocolitica lipopolysaccharide: genetics and virulence. Trends in Microbiology. 1(4). 148–152. 32 indexed citations
20.
Pærregaard, Anders, F. Espersen, & Mikael Skurnik. (1991). Adhesion of yersiniae to rabbit intestinal constituents: role of outer membrane protein YadA and modulation by intestinal mucus.. PubMed. 12. 171–5. 5 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026