Maja Štalekar

779 total citations
10 papers, 569 citations indexed

About

Maja Štalekar is a scholar working on Molecular Biology, Genetics and Neurology. According to data from OpenAlex, Maja Štalekar has authored 10 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Genetics and 6 papers in Neurology. Recurrent topics in Maja Štalekar's work include Neurogenetic and Muscular Disorders Research (6 papers), Amyotrophic Lateral Sclerosis Research (6 papers) and Extracellular vesicles in disease (2 papers). Maja Štalekar is often cited by papers focused on Neurogenetic and Muscular Disorders Research (6 papers), Amyotrophic Lateral Sclerosis Research (6 papers) and Extracellular vesicles in disease (2 papers). Maja Štalekar collaborates with scholars based in Slovenia, United Kingdom and Italy. Maja Štalekar's co-authors include Boris Rogelj, Christopher E. Shaw, Claire Troakes, Youn‐Bok Lee, Yoshitsugu Adachi, Valentina Sardone, Corinne Houart, Agnes L. Nishimura, Jack W. Miller and Caroline Vance and has published in prestigious journals such as Journal of Cell Science, Neuroscience and Cell Reports.

In The Last Decade

Maja Štalekar

10 papers receiving 567 citations

Peers

Countries citing papers authored by Maja Štalekar

Since Specialization

Citations

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

Fields of papers citing papers by Maja Štalekar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maja Štalekar

This figure shows the co-authorship network connecting the top 25 collaborators of Maja Štalekar. A scholar is included among the top collaborators of Maja Štalekar 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 Štalekar. Maja Štalekar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

#	Work	Indexed citations
1	In-Depth Comparison of Adeno-Associated Virus Containing Fractions after CsCl Ultracentrifugation Gradient Separation 2024 ·Viruses ·(unknown), (unknown), (unknown), (unknown), Maja Štalekar, Katarina Bačnik, Denis Kutnjak, Magda Tušek Žnidarič, Lorena Zentilin, (unknown), David Dobnik	4
2	Extracellular vesicle‐bound DNA in urine is indicative of kidney allograft injury 2022 ·Journal of Extracellular Vesicles ·(unknown), Maja Štalekar, Magda Tušek Žnidarič, Katja Goričar, Nika Kojc, Polona Kogovšek, Vita Dolžan, Miha Arnol, Metka Lenassi	19
3	216.9: Urinary Extracellular Vesicle DNA Cargo Reflects Kidney Allograft Injury 2022 ·Transplantation ·(unknown), Maja Štalekar, Magda Tušek Žnidarič, Katja Goričar, (unknown), Polona Kogovšek, Vita Dolžan, Metka Lenassi, Miha Arnol	1
4	Feasibility of Droplet Digital PCR Analysis of Plasma Cell-Free DNA From Kidney Transplant Patients 2021 ·Frontiers in Medicine ·(unknown), Maja Štalekar, Sebastian Vencken, David Dobnik, Polona Kogovšek, (unknown), Miha Arnol, Maja Ravnikar	6
5	Nuclear RNA foci fromC9ORF72expansion mutation form paraspeckle-like bodies 2019 ·Journal of Cell Science ·(unknown), (unknown), Sonja Prpar Mihevc, Maja Štalekar, (unknown), Helena Motaln, Youn‐Bok Lee, (unknown), Jure Pohleven, Markus Grosch, Miha Modic, Marko Fonovič, Boris Turk, Micha Drukker, Christopher E. Shaw, Boris Rogelj	35
6	Proteomic analyses reveal that loss of TDP-43 affects RNA processing and intracellular transport 2015 ·Neuroscience ·Maja Štalekar, Xiaoke Yin, (unknown), (unknown), Claire Troakes, Manuel Mayr, Christopher E. Shaw, Boris Rogelj	49
7	Phosphorylation of C-terminal tyrosine 526 in FUS impairs its nuclear import 2015 ·Journal of Cell Science ·(unknown), Sonja Prpar Mihevc, Vera Župunski, Gregor Gunčar, Maja Štalekar, Youn‐Bok Lee, Christopher E. Shaw, Boris Rogelj	26
8	Characterization of DNA G-quadruplex species forming from C9ORF72 G4C2-expanded repeats associated with amyotrophic lateral sclerosis and frontotemporal lobar degeneration 2014 ·Neurobiology of Aging ·Primož Šket, Jure Pohleven, Anja Kovanda, Maja Štalekar, Vera Župunski, Matja Zalar, Janez Plavec, Boris Rogelj	58
9	Hexanucleotide Repeats in ALS/FTD Form Length-Dependent RNA Foci, Sequester RNA Binding Proteins, and Are Neurotoxic 2013 ·Cell Reports ·Youn‐Bok Lee, Han-Jou Chen, João Peres, (unknown), Jan Attig, Maja Štalekar, Claire Troakes, Agnes L. Nishimura, Emma L. Scotter, Caroline Vance, Yoshitsugu Adachi, Valentina Sardone, Jack W. Miller, Bradley Smith, Jean‐Marc Gallo, Jernej Ule, Frank Hirth, Boris Rogelj, Corinne Houart, Christopher E. Shaw	365
10	Expanded G4C2 repeats linked to C9ORF72ALS and FTD form length-dependent RNA foci, sequester RNA binding proteins and are neurotoxic 2013 ·Molecular Neurodegeneration ·Youn‐Bok Lee, Han-Jou Chen, João Peres, (unknown), Valentina Sardone, Agnes L. Nishimura, Emma L. Scotter, Caroline Vance, Maja Štalekar, Yoshitsugu Adachi, Claire Troakes, Jack W. Miller, Bradley Smith, Frank Hirth, Boris Rogelj, Corinne Houart, Christopher E. Shaw	6

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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