Mikko J. Frilander

4.9k total citations · 1 hit paper
61 papers, 3.3k citations indexed

About

Mikko J. Frilander is a scholar working on Molecular Biology, Ecology and Genetics. According to data from OpenAlex, Mikko J. Frilander has authored 61 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 17 papers in Ecology and 12 papers in Genetics. Recurrent topics in Mikko J. Frilander's work include RNA Research and Splicing (29 papers), RNA and protein synthesis mechanisms (28 papers) and RNA modifications and cancer (21 papers). Mikko J. Frilander is often cited by papers focused on RNA Research and Splicing (29 papers), RNA and protein synthesis mechanisms (28 papers) and RNA modifications and cancer (21 papers). Mikko J. Frilander collaborates with scholars based in Finland, United States and Czechia. Mikko J. Frilander's co-authors include Elina H. Niemelä, Christopher W. Wheat, James H. Marden, Bhupendra Verma, Howard W. Fescemyer, J. Cristobal Vera, Ilkka Hanski, Dennis H. Bamford, D. L. Crawford and Janne J. Turunen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Genes & Development.

In The Last Decade

Mikko J. Frilander

60 papers receiving 3.2k citations

Hit Papers

Rapid transcriptome characterization for a nonmodel organ... 2008 2026 2014 2020 2008 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mikko J. Frilander Finland 33 2.3k 720 649 478 238 61 3.3k
Sujai Kumar United Kingdom 22 1.2k 0.5× 531 0.7× 448 0.7× 563 1.2× 186 0.8× 29 2.4k
Daniel J. Turner United Kingdom 16 2.2k 1.0× 475 0.7× 1.2k 1.8× 557 1.2× 392 1.6× 22 3.3k
Paul H. Dear United Kingdom 27 1.9k 0.9× 460 0.6× 557 0.9× 362 0.8× 220 0.9× 46 4.3k
Mary J. O’Connell United States 27 1.4k 0.6× 339 0.5× 563 0.9× 430 0.9× 187 0.8× 99 2.7k
Christoph Grunau France 31 1.5k 0.7× 1.0k 1.4× 532 0.8× 224 0.5× 188 0.8× 84 3.1k
Gregory Hinkle United States 16 1.9k 0.8× 265 0.4× 348 0.5× 231 0.5× 257 1.1× 20 2.7k
Aaron M. Berlin United States 12 1.6k 0.7× 756 1.1× 324 0.5× 621 1.3× 190 0.8× 13 2.3k
Hugo Naya Uruguay 26 1.3k 0.6× 398 0.6× 1.0k 1.6× 593 1.2× 378 1.6× 98 2.8k
Gene Levinson United States 18 1.5k 0.7× 255 0.4× 1.0k 1.6× 668 1.4× 122 0.5× 24 2.8k
Ian Goodhead United Kingdom 17 1.2k 0.6× 385 0.5× 299 0.5× 259 0.5× 358 1.5× 31 2.5k

Countries citing papers authored by Mikko J. Frilander

Since Specialization
Citations

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

Fields of papers citing papers by Mikko J. Frilander

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mikko J. Frilander. 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 Mikko J. Frilander. The network helps show where Mikko J. Frilander may publish in the future.

Co-authorship network of co-authors of Mikko J. Frilander

This figure shows the co-authorship network connecting the top 25 collaborators of Mikko J. Frilander. A scholar is included among the top collaborators of Mikko J. Frilander 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 Mikko J. Frilander. Mikko J. Frilander 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.
Frilander, Mikko J., et al.. (2025). Connecting genotype and phenotype in minor spliceosome diseases. RNA. 31(3). 284–299. 3 indexed citations
2.
Ravantti, Janne, et al.. (2024). Distinct functions for the paralogous RBM41 and U11/U12-65K proteins in the minor spliceosome. Nucleic Acids Research. 52(7). 4037–4052. 5 indexed citations
3.
Oghabian, Ali, Maureen V. Akinyi, Sandra Hanks, et al.. (2021). Chromosomal instability by mutations in the novel minor spliceosome component CENATAC. The EMBO Journal. 40(14). e106536–e106536. 27 indexed citations
4.
Hrtyan, Mónika, Katarzyna Retzer, Jana Humpolíčková, et al.. (2021). Mutually opposing activity of PIN7 splicing isoforms is required for auxin‐mediated tropic responses in Arabidopsis thaliana. New Phytologist. 233(1). 329–343. 16 indexed citations
5.
Frilander, Mikko J., et al.. (2019). Nuclear actin interactome analysis links actin to KAT14 histone acetyl transferase and mRNA splicing. Journal of Cell Science. 132(8). 39 indexed citations
6.
Oghabian, Ali, Dario Greco, & Mikko J. Frilander. (2018). IntEREst: intron-exon retention estimator. BMC Bioinformatics. 19(1). 130–130. 20 indexed citations
7.
Jutzi, Daniel, Maureen V. Akinyi, Jonas Mechtersheimer, Mikko J. Frilander, & Marc‐David Ruepp. (2018). The emerging role of minor intron splicing in neurological disorders. SHILAP Revista de lepidopterología. 2(3). 40–54. 21 indexed citations
9.
Verma, Bhupendra, et al.. (2017). Alternative exon definition events control the choice between nuclear retention and cytoplasmic export of U11/U12-65K mRNA. PLoS Genetics. 13(5). e1006824–e1006824. 10 indexed citations
10.
Känsäkoski, Johanna, Jarmo Jääskeläinen, Tiina Jääskeläinen, et al.. (2016). Complete androgen insensitivity syndrome caused by a deep intronic pseudoexon-activating mutation in the androgen receptor gene. Scientific Reports. 6(1). 32819–32819. 37 indexed citations
11.
Niemelä, Elina H. & Mikko J. Frilander. (2014). Regulation of gene expression through inefficient splicing of U12-type introns. RNA Biology. 11(11). 1325–1329. 25 indexed citations
12.
Somervuo, Panu, Jouni Kvist, Petri Auvinen, et al.. (2014). Transcriptome Analysis Reveals Signature of Adaptation to Landscape Fragmentation. PLoS ONE. 9(7). e101467–e101467. 19 indexed citations
13.
Turunen, Janne J., Bhupendra Verma, Tuula A. Nyman, & Mikko J. Frilander. (2013). HnRNPH1/H2, U1 snRNP, and U11 snRNP cooperate to regulate the stability of the U11-48K pre-mRNA. RNA. 19(3). 380–389. 21 indexed citations
14.
15.
Helenius, Katja, et al.. (2011). Requirement of TFIIH kinase subunit Mat1 for RNA Pol II C-terminal domain Ser5 phosphorylation, transcription and mRNA turnover. Nucleic Acids Research. 39(12). 5025–5035. 43 indexed citations
16.
Sundström, Jens F., Alena Hyršlová Vaculová, Andrei Smertenko, et al.. (2009). Tudor staphylococcal nuclease is an evolutionarily conserved component of the programmed cell death degradome. Nature Cell Biology. 11(11). 1347–1354. 169 indexed citations
17.
Frilander, Mikko J. & Xiaojuan Meng. (2005). Proximity of the U12 snRNA with both the 5′ Splice Site and the Branch Point during Early Stages of Spliceosome Assembly. Molecular and Cellular Biology. 25(12). 4813–4825. 11 indexed citations
18.
McConnell, Timothy, Soo‐Jin Cho, Mikko J. Frilander, & Joan A. Steitz. (2002). Branchpoint selection in the splicing of U12-dependent introns in vitro. RNA. 8(5). 579–586. 10 indexed citations
19.
Gottlieb, Paul, Xueying Qiao, J Strassman, Mikko J. Frilander, & Leonard Mindich. (1994). Identification of the Packaging Regions within the Genomic RNA Segments of Bacteriophage Φ6. Virology. 200(1). 42–47. 48 indexed citations
20.
Onodera, Shin‐ichi, X Qiao, Paul Gottlieb, et al.. (1993). RNA structure and heterologous recombination in the double-stranded RNA bacteriophage phi 6. Journal of Virology. 67(8). 4914–4922. 39 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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