Maja Marušič

817 total citations
24 papers, 648 citations indexed

About

Maja Marušič is a scholar working on Molecular Biology, Pharmaceutical Science and Genetics. According to data from OpenAlex, Maja Marušič has authored 24 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 2 papers in Pharmaceutical Science and 2 papers in Genetics. Recurrent topics in Maja Marušič's work include DNA and Nucleic Acid Chemistry (13 papers), RNA and protein synthesis mechanisms (9 papers) and RNA Interference and Gene Delivery (7 papers). Maja Marušič is often cited by papers focused on DNA and Nucleic Acid Chemistry (13 papers), RNA and protein synthesis mechanisms (9 papers) and RNA Interference and Gene Delivery (7 papers). Maja Marušič collaborates with scholars based in Slovenia, Italy and Sweden. Maja Marušič's co-authors include Janez Plavec, Katja Petzold, Viktor Víglaský, Primož Šket, Ľuboš Bauer, Jesper Wengel, Rakesh N. Veedu, Judith Schlagnitweit, Simon Caserman and Emanuela Ruggiero and has published in prestigious journals such as JAMA, Nucleic Acids Research and Angewandte Chemie International Edition.

In The Last Decade

Maja Marušič

24 papers receiving 640 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maja Marušič Slovenia 14 577 73 39 34 28 24 648
Franziska Pfeiffer Germany 8 501 0.9× 54 0.7× 138 3.5× 37 1.1× 43 1.5× 12 599
Amina Bedrat United States 10 990 1.7× 118 1.6× 31 0.8× 41 1.2× 31 1.1× 15 1.1k
Anna Pasternak Poland 16 921 1.6× 57 0.8× 79 2.0× 25 0.7× 13 0.5× 37 970
Gayan Mirihana Arachchilage United States 11 790 1.4× 70 1.0× 34 0.9× 17 0.5× 79 2.8× 16 819
James Byrnes United States 8 285 0.5× 40 0.5× 46 1.2× 16 0.5× 23 0.8× 19 395
Eva B. Jagelská Czechia 13 505 0.9× 55 0.8× 14 0.4× 35 1.0× 33 1.2× 17 580
Matthew P Beaudet United States 4 238 0.4× 43 0.6× 61 1.6× 19 0.6× 18 0.6× 6 320
Anne Zemella Germany 9 374 0.6× 73 1.0× 46 1.2× 16 0.5× 55 2.0× 30 458
Natalya I. Topilina United States 13 504 0.9× 61 0.8× 14 0.4× 35 1.0× 70 2.5× 16 567
Simone Mörtl Germany 14 382 0.7× 25 0.3× 80 2.1× 19 0.6× 16 0.6× 15 528

Countries citing papers authored by Maja Marušič

Since Specialization
Citations

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

Fields of papers citing papers by Maja Marušič

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maja Marušič

This figure shows the co-authorship network connecting the top 25 collaborators of Maja Marušič. A scholar is included among the top collaborators of Maja Marušič 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 Maja Marušič. Maja Marušič 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.
Zeraati, Mahdi, Romain Rouet, Ohan Mazigi, et al.. (2024). Human genomic DNA is widely interspersed with i-motif structures. The EMBO Journal. 43(20). 4786–4804. 16 indexed citations
2.
Brázda, Václav, et al.. (2024). The influence of G-tract and loop length on the topological variability of putative five and six G-quartet DNA structures in the human genome. International Journal of Biological Macromolecules. 280(Pt 3). 136008–136008. 1 indexed citations
3.
Ruggiero, Emanuela, et al.. (2024). The iMab antibody selectively binds to intramolecular and intermolecular i-motif structures. Nucleic Acids Research. 53(2). 8 indexed citations
4.
Marušič, Maja, et al.. (2023). NMR of RNA - Structure and interactions. Current Opinion in Structural Biology. 79. 102532–102532. 22 indexed citations
5.
Marušič, Maja, et al.. (2022). Enzymatic incorporation of an isotope-labeled adenine into RNA for the study of conformational dynamics by NMR. PLoS ONE. 17(7). e0264662–e0264662. 1 indexed citations
6.
Lago, Sara, Matteo Nadai, Emanuela Ruggiero, et al.. (2020). The MDM2 inducible promoter folds into four-tetrad antiparallel G-quadruplexes targetable to fight malignant liposarcoma. Nucleic Acids Research. 49(2). 847–863. 30 indexed citations
7.
Marušič, Maja, Judith Schlagnitweit, & Katja Petzold. (2019). RNA Dynamics by NMR Spectroscopy. ChemBioChem. 20(21). 2685–2710. 55 indexed citations
8.
Marušič, Maja & Janez Plavec. (2019). Towards Understanding of Polymorphism of the G-rich Region of Human Papillomavirus Type 52. Molecules. 24(7). 1294–1294. 21 indexed citations
9.
Marušič, Maja, et al.. (2018). Non-canonical Structures in Promoter Modulate Gene Expression in Escherichia coli. Croatica Chemica Acta. 91(2). 2 indexed citations
10.
Marušič, Maja, et al.. (2018). A guide to large-scale RNA sample preparation. Analytical and Bioanalytical Chemistry. 410(14). 3239–3252. 66 indexed citations
11.
Marušič, Maja, Lea Hošnjak, Petra Krafčíková, et al.. (2016). The effect of single nucleotide polymorphisms in G-rich regions of high-risk human papillomaviruses on structural diversity of DNA. Biochimica et Biophysica Acta (BBA) - General Subjects. 1861(5). 1229–1236. 23 indexed citations
12.
Marušič, Maja, Matic Kisovec, Nejc Rojko, et al.. (2015). Listeriolysin O Affects the Permeability of Caco-2 Monolayer in a Pore-Dependent and Ca2+-Independent Manner. PLoS ONE. 10(6). e0130471–e0130471. 23 indexed citations
13.
Marušič, Maja & Janez Plavec. (2015). The Effect of DNA Sequence Directionality on G‐Quadruplex Folding. Angewandte Chemie International Edition. 54(40). 11716–11719. 38 indexed citations
14.
Edwards, Stacey L., Vasanthanathan Poongavanam, Jagat R. Kanwar, et al.. (2015). Targeting VEGF with LNA-stabilized G-rich oligonucleotide for efficient breast cancer inhibition. Chemical Communications. 51(46). 9499–9502. 50 indexed citations
15.
Marušič, Maja, Hisae Tateishi‐Karimata, Naoki Sugimoto, & Janez Plavec. (2014). Structural foundation for DNA behavior in hydrated ionic liquid: An NMR study. Biochimie. 108. 169–177. 19 indexed citations
16.
Marušič, Maja, et al.. (2014). Calu-3 model under AIC and LCC conditions and application for protein permeability studies.. PubMed. 61(1). 100–9. 7 indexed citations
17.
Marušič, Maja, et al.. (2013). The Caco-2 cell culture model enables sensitive detection of enhanced protein permeability in the presence of N-decyl-β-d-maltopyranoside. New Biotechnology. 30(5). 507–515. 8 indexed citations
18.
Marušič, Maja, Rakesh N. Veedu, Jesper Wengel, & Janez Plavec. (2013). G-rich VEGF aptamer with locked and unlocked nucleic acid modifications exhibits a unique G-quadruplex fold. Nucleic Acids Research. 41(20). 9524–9536. 80 indexed citations
19.
Kizilel, Rıza, et al.. (2013). Computational and experimental investigation of DNA repair protein photolyase interactions with low molecular weight drugs. Journal of Molecular Recognition. 26(7). 297–307. 1 indexed citations
20.
Marušič, Maja, Primož Šket, Ľuboš Bauer, Viktor Víglaský, & Janez Plavec. (2012). Solution-state structure of an intramolecular G-quadruplex with propeller, diagonal and edgewise loops. Nucleic Acids Research. 40(14). 6946–6956. 69 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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