Piret Arukuusk

1.2k total citations
30 papers, 853 citations indexed

About

Piret Arukuusk is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Piret Arukuusk has authored 30 papers receiving a total of 853 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Ecology. Recurrent topics in Piret Arukuusk's work include RNA Interference and Gene Delivery (27 papers), Advanced biosensing and bioanalysis techniques (23 papers) and Virus-based gene therapy research (6 papers). Piret Arukuusk is often cited by papers focused on RNA Interference and Gene Delivery (27 papers), Advanced biosensing and bioanalysis techniques (23 papers) and Virus-based gene therapy research (6 papers). Piret Arukuusk collaborates with scholars based in Estonia, Sweden and Brazil. Piret Arukuusk's co-authors include Ülo Langel, Margus Pooga, Kaido Kurrikoff, Helerin Margus, Kärt Padari, Dana Maria Copolovici, Nikita Oskolkov, Julia Suhorutšenko, Kent Langel and Kadi-Liis Veiman and has published in prestigious journals such as Biomaterials, Scientific Reports and The FASEB Journal.

In The Last Decade

Piret Arukuusk

30 papers receiving 843 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Piret Arukuusk Estonia 20 782 162 126 102 98 30 853
Caroline Palm‐Apergi Sweden 11 750 1.0× 185 1.1× 84 0.7× 66 0.6× 73 0.7× 19 852
Peter Guterstam Sweden 10 917 1.2× 132 0.8× 167 1.3× 80 0.8× 71 0.7× 14 946
Peter Järver Sweden 14 832 1.1× 119 0.7× 186 1.5× 105 1.0× 72 0.7× 18 934
Julien Depollier France 5 918 1.2× 125 0.8× 206 1.6× 135 1.3× 95 1.0× 5 1.1k
Laurence Crombez France 12 856 1.1× 103 0.6× 187 1.5× 85 0.8× 146 1.5× 13 931
Akiko Tadokoro Japan 7 709 0.9× 123 0.8× 150 1.2× 90 0.9× 75 0.8× 7 781
Saïd Abes France 16 1.1k 1.4× 70 0.4× 267 2.1× 52 0.5× 49 0.5× 18 1.2k
Helerin Margus Estonia 12 593 0.8× 120 0.7× 101 0.8× 59 0.6× 56 0.6× 13 623
Jessica R. Vargas United States 7 556 0.7× 69 0.4× 106 0.8× 79 0.8× 115 1.2× 7 711
Bryan R. Meade United States 10 1.1k 1.4× 62 0.4× 237 1.9× 96 0.9× 98 1.0× 11 1.1k

Countries citing papers authored by Piret Arukuusk

Since Specialization
Citations

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

Fields of papers citing papers by Piret Arukuusk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Piret Arukuusk

This figure shows the co-authorship network connecting the top 25 collaborators of Piret Arukuusk. A scholar is included among the top collaborators of Piret Arukuusk 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 Piret Arukuusk. Piret Arukuusk 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.
Arukuusk, Piret, et al.. (2023). Aggregation Limiting Cell-Penetrating Peptides Derived from Protein Signal Sequences. International Journal of Molecular Sciences. 24(5). 4277–4277. 5 indexed citations
2.
Arukuusk, Piret, et al.. (2023). The Development of Cell-Penetrating Peptides for Efficient and Selective In Vivo Expression of mRNA in Spleen Tissue. Pharmaceutics. 15(3). 952–952. 14 indexed citations
3.
4.
Arukuusk, Piret, et al.. (2022). Predicting Transiently Expressed Protein Yields: Comparison of Transfection Methods in CHO and HEK293. Pharmaceutics. 14(9). 1949–1949. 10 indexed citations
5.
Arukuusk, Piret, et al.. (2022). Stability of Cryo-Concentrated Complexes. 165–166. 1 indexed citations
6.
Arukuusk, Piret, et al.. (2021). ACE2 Peptide Fragment Interaction with Different S1 Protein Sites. International Journal of Peptide Research and Therapeutics. 28(1). 7–7. 8 indexed citations
7.
Arukuusk, Piret, et al.. (2019). Enhancement of siRNA transfection by the optimization of fatty acid length and histidine content in the CPP. Biomaterials Science. 7(10). 4363–4374. 33 indexed citations
8.
Padari, Kärt, et al.. (2019). Characterization of Peptide–Oligonucleotide Complexes Using Electron Microscopy, Dynamic Light Scattering, and Protease Resistance Assay. Methods in molecular biology. 2036. 127–139. 3 indexed citations
9.
Arukuusk, Piret, Kaido Kurrikoff, Raivo Raid, et al.. (2017). Formulation of Stable and Homogeneous Cell-Penetrating Peptide NF55 Nanoparticles for Efficient Gene Delivery In Vivo. Molecular Therapy — Nucleic Acids. 10. 28–35. 21 indexed citations
10.
Arukuusk, Piret, et al.. (2016). Glycosaminoglycans are required for translocation of amphipathic cell-penetrating peptides across membranes. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1858(8). 1860–1867. 24 indexed citations
11.
Arukuusk, Piret, Kaido Kurrikoff, Daniel Vasconcelos, et al.. (2016). Optimization of in vivo DNA delivery with NickFect peptide vectors. Journal of Controlled Release. 241. 135–143. 42 indexed citations
12.
Lorents, Annely, et al.. (2016). Cell‐penetrating peptides recruit type A scavenger receptors to the plasma membrane for cellular delivery of nucleic acids. The FASEB Journal. 31(3). 975–988. 24 indexed citations
13.
Padari, Kärt, Helerin Margus, Piret Arukuusk, et al.. (2015). The role of endocytosis in the uptake and intracellular trafficking of PepFect14–nucleic acid nanocomplexes via class A scavenger receptors. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1848(12). 3205–3216. 19 indexed citations
14.
Arukuusk, Piret, et al.. (2015). PepFects and NickFects for the Intracellular Delivery of Nucleic Acids. Methods in molecular biology. 1324. 303–315. 22 indexed citations
15.
Arukuusk, Piret, et al.. (2015). Methods to follow intracellular trafficking of cell-penetrating peptides. Journal of drug targeting. 24(6). 508–519. 12 indexed citations
16.
Säälik, Pille, et al.. (2014). Translocation of cell-penetrating peptides across the plasma membrane is controlled by cholesterol and microenvironment created by membranous proteins. Journal of Controlled Release. 192. 103–113. 55 indexed citations
17.
Vasconcelos, Daniel, et al.. (2014). Effects of cargo molecules on membrane perturbation caused by transportan10 based cell-penetrating peptides. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1838(12). 3118–3129. 26 indexed citations
18.
Arukuusk, Piret, Nikita Oskolkov, Dana Maria Copolovici, et al.. (2013). New generation of efficient peptide-based vectors, NickFects, for the delivery of nucleic acids. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1828(5). 1365–1373. 67 indexed citations
19.
Rytkönen, Jussi, Piret Arukuusk, Wujun Xu, et al.. (2013). Porous Silicon–Cell Penetrating Peptide Hybrid Nanocarrier for Intracellular Delivery of Oligonucleotides. Molecular Pharmaceutics. 11(2). 382–390. 20 indexed citations
20.
Veiman, Kadi-Liis, Imre Mäger, Kariem Ezzat, et al.. (2012). PepFect14 Peptide Vector for Efficient Gene Delivery in Cell Cultures. Molecular Pharmaceutics. 10(1). 199–210. 78 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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