Minna‐Liisa Änkö

1.8k total citations
27 papers, 1.0k citations indexed

About

Minna‐Liisa Änkö is a scholar working on Molecular Biology, Cancer Research and Cellular and Molecular Neuroscience. According to data from OpenAlex, Minna‐Liisa Änkö has authored 27 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Minna‐Liisa Änkö's work include RNA Research and Splicing (16 papers), RNA modifications and cancer (10 papers) and RNA and protein synthesis mechanisms (7 papers). Minna‐Liisa Änkö is often cited by papers focused on RNA Research and Splicing (16 papers), RNA modifications and cancer (10 papers) and RNA and protein synthesis mechanisms (7 papers). Minna‐Liisa Änkö collaborates with scholars based in Australia, Finland and Germany. Minna‐Liisa Änkö's co-authors include Karla M. Neugebauer, Ian Henry, Michaela Müller-McNicoll, Tomaž Curk, Jernej Ule, Holger Brandl, Pertti Panula, Monika Mohenska, Julien M. D. Legrand and Ai-Leen Chan and has published in prestigious journals such as Nature Communications, Blood and Molecular Cell.

In The Last Decade

Minna‐Liisa Änkö

26 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minna‐Liisa Änkö Australia 15 876 226 57 57 56 27 1.0k
Luc Paillard France 19 1.2k 1.4× 141 0.6× 111 1.9× 19 0.3× 117 2.1× 46 1.3k
Qiao Zeng China 7 750 0.9× 168 0.7× 13 0.2× 47 0.8× 157 2.8× 11 931
Marshall Thomas United States 7 1.2k 1.4× 397 1.8× 24 0.4× 14 0.2× 56 1.0× 7 1.4k
Huifeng Zhu United States 9 752 0.9× 677 3.0× 29 0.5× 106 1.9× 86 1.5× 15 1.1k
Dachang Tao China 18 623 0.7× 294 1.3× 30 0.5× 215 3.8× 239 4.3× 67 1000
Fernando J. Sallés United States 8 633 0.7× 121 0.5× 75 1.3× 16 0.3× 65 1.2× 10 797
Rubén Moreno Spain 10 933 1.1× 74 0.3× 52 0.9× 22 0.4× 152 2.7× 10 1.1k
Olivier Latchoumanin Australia 13 340 0.4× 161 0.7× 19 0.3× 30 0.5× 62 1.1× 15 633
Patrícia Diniz Portugal 10 428 0.5× 59 0.3× 65 1.1× 52 0.9× 98 1.8× 19 736
Brian Reichholf Austria 8 961 1.1× 281 1.2× 7 0.1× 92 1.6× 72 1.3× 9 1.1k

Countries citing papers authored by Minna‐Liisa Änkö

Since Specialization
Citations

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

Fields of papers citing papers by Minna‐Liisa Änkö

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Minna‐Liisa Änkö. 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 Minna‐Liisa Änkö. The network helps show where Minna‐Liisa Änkö may publish in the future.

Co-authorship network of co-authors of Minna‐Liisa Änkö

This figure shows the co-authorship network connecting the top 25 collaborators of Minna‐Liisa Änkö. A scholar is included among the top collaborators of Minna‐Liisa Änkö 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 Minna‐Liisa Änkö. Minna‐Liisa Änkö 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.
Takabe, Piia, Rebekah Engel, Thierry Jardé, et al.. (2023). SRSF3 shapes the structure of miR ‐17‐92 cluster RNA and promotes selective processing of miR ‐17 and miR ‐20a. EMBO Reports. 24(7). e56021–e56021. 5 indexed citations
2.
Douek, Alon M., Jason Henry, Georg Ramm, et al.. (2021). An Engineered sgsh Mutant Zebrafish Recapitulates Molecular and Behavioural Pathobiology of Sanfilippo Syndrome A/MPS IIIA. International Journal of Molecular Sciences. 22(11). 5948–5948. 9 indexed citations
3.
Änkö, Minna‐Liisa, et al.. (2018). mRNA Stability Assay Using Transcription Inhibition by Actinomycin D in Mouse Pluripotent Stem Cells. BIO-PROTOCOL. 8(21). e3072–e3072. 97 indexed citations
4.
Änkö, Minna‐Liisa, et al.. (2018). RNA Immunoprecipitation Assay to Determine the Specificity of SRSF3 Binding to Nanog mRNA. BIO-PROTOCOL. 8(21). e3071–e3071. 4 indexed citations
5.
Archer, Stuart K., Craig Dent, Igor Ruiz de los Mozos, et al.. (2018). SRSF3 promotes pluripotency through Nanog mRNA export and coordination of the pluripotency gene expression program. eLife. 7. 42 indexed citations
6.
Änkö, Minna‐Liisa, Ian J. Majewski, Jaber Firas, et al.. (2018). BAK/BAX-Mediated Apoptosis Is a Myc-Induced Roadblock to Reprogramming. Stem Cell Reports. 10(2). 331–338. 11 indexed citations
7.
Pillman, Katherine A., Katherine J. Siddle, Geneviève Pépin, et al.. (2017). miR-222 isoforms are differentially regulated by type-I interferon. RNA. 24(3). 332–341. 27 indexed citations
8.
Mohenska, Monika, et al.. (2017). Splicing factors as regulators of miRNA biogenesis – links to human disease. Seminars in Cell and Developmental Biology. 79. 113–122. 56 indexed citations
9.
Frisca, Frisca, et al.. (2016). Role of ectonucleotide pyrophosphatase/phosphodiesterase 2 in the midline axis formation of zebrafish. Scientific Reports. 6(1). 37678–37678. 9 indexed citations
10.
Alaei, Sara, Anja S. Knaupp, Sue Mei Lim, et al.. (2016). An improved reprogrammable mouse model harbouring the reverse tetracycline-controlled transcriptional transactivator 3. Stem Cell Research. 17(1). 49–53. 9 indexed citations
11.
Änkö, Minna‐Liisa. (2014). Regulation of gene expression programmes by serine–arginine rich splicing factors. Seminars in Cell and Developmental Biology. 32. 11–21. 97 indexed citations
12.
Änkö, Minna‐Liisa & Karla M. Neugebauer. (2012). RNA–protein interactions in vivo: global gets specific. Trends in Biochemical Sciences. 37(7). 255–262. 71 indexed citations
13.
Änkö, Minna‐Liisa, Michaela Müller-McNicoll, Holger Brandl, et al.. (2012). The RNA-binding landscapes of two SR proteins reveal unique functions and binding to diverse RNA classes. Genome biology. 13(3). R17–R17. 207 indexed citations
14.
Änkö, Minna‐Liisa, Lucía Morales, Ian Henry, Andreas Beyer, & Karla M. Neugebauer. (2010). Global analysis reveals SRp20- and SRp75-specific mRNPs in cycling and neural cells. Nature Structural & Molecular Biology. 17(8). 962–970. 47 indexed citations
15.
Sapra, Aparna K., Minna‐Liisa Änkö, Inna Grishina, et al.. (2009). SR Protein Family Members Display Diverse Activities in the Formation of Nascent and Mature mRNPs In Vivo. Molecular Cell. 34(2). 179–190. 111 indexed citations
16.
Änkö, Minna‐Liisa, et al.. (2006). Alternative splicing of human and mouse NPFF2 receptor genes: Implications to receptor expression. FEBS Letters. 580(30). 6955–6960. 7 indexed citations
17.
Pertovaara, Antti, et al.. (2005). RFamide-related peptides signal through the neuropeptide FF receptor and regulate pain-related responses in the rat. Neuroscience. 134(3). 1023–1032. 21 indexed citations
18.
Änkö, Minna‐Liisa & Pertti Panula. (2005). Regulation of endogenous human NPFF2 receptor by neuropeptide FF in SK‐N‐MC neuroblastoma cell line. Journal of Neurochemistry. 96(2). 573–584. 23 indexed citations
19.
Änkö, Minna‐Liisa, Jussi Kurittu, & Matti Karp. (2002). An Escherichia coli Biosensor Strain for Amplified and High Throughput Detection of Antimicrobial Agents. 7(2). 119–125. 1 indexed citations
20.
Änkö, Minna‐Liisa, Jussi Kurittu, & Matti Karp. (2002). An Escherichia coli Biosensor Strain for Amplified and High Throughput Detection of Antimicrobial Agents. SLAS DISCOVERY. 7(2). 119–125. 20 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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