Maja Štalekar

14 total papers · 760 total citations
10 papers, 568 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 568 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 Amyotrophic Lateral Sclerosis Research (6 papers), Neurogenetic and Muscular Disorders Research (6 papers) and Extracellular vesicles in disease (2 papers). Maja Štalekar is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (6 papers), Neurogenetic and Muscular Disorders 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, Valentina Sardone, Emma L. Scotter, Corinne Houart, Caroline Vance, Jack W. Miller and Yoshitsugu Adachi 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 566 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Maja Štalekar 370 363 271 96 51 10 568
J. Gavin Daigle 450 1.2× 291 0.8× 186 0.7× 85 0.9× 62 1.2× 9 667
Alison J. Clare 380 1.0× 331 0.9× 222 0.8× 90 0.9× 53 1.0× 9 565
Armand Soriano 378 1.0× 282 0.8× 203 0.7× 126 1.3× 47 0.9× 9 582
Shashirekha S. Markandaiah 289 0.8× 422 1.2× 246 0.9× 129 1.3× 79 1.5× 10 638
J. Pietrzyk 286 0.8× 390 1.1× 237 0.9× 120 1.3× 66 1.3× 13 554
Jennifer E. Stauffer 229 0.6× 379 1.0× 216 0.8× 64 0.7× 83 1.6× 7 534
Jonghyun Yun 395 1.1× 301 0.8× 189 0.7× 90 0.9× 46 0.9× 14 600
Debbie Swing 357 1.0× 389 1.1× 190 0.7× 147 1.5× 70 1.4× 6 601
Giulia Romano 327 0.9× 429 1.2× 318 1.2× 80 0.8× 61 1.2× 19 656
Lindsay A. Becker 375 1.0× 242 0.7× 171 0.6× 109 1.1× 29 0.6× 6 538

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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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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