Ejona Rusha

537 total citations
9 papers, 309 citations indexed

About

Ejona Rusha is a scholar working on Molecular Biology, Clinical Biochemistry and Neurology. According to data from OpenAlex, Ejona Rusha has authored 9 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Clinical Biochemistry and 2 papers in Neurology. Recurrent topics in Ejona Rusha's work include Neurological diseases and metabolism (2 papers), CRISPR and Genetic Engineering (2 papers) and Mitochondrial Function and Pathology (2 papers). Ejona Rusha is often cited by papers focused on Neurological diseases and metabolism (2 papers), CRISPR and Genetic Engineering (2 papers) and Mitochondrial Function and Pathology (2 papers). Ejona Rusha collaborates with scholars based in Germany, United Kingdom and Italy. Ejona Rusha's co-authors include Micha Drukker, Adam C. O’Neill, M. Schroeder, Chiara Tocco, Christina Kyrousi, J. Gray Camp, Stephan Riesenberg, Rossella Di Giaimo, Sabina Kanton and Silvia Cappello and has published in prestigious journals such as Nature Medicine, Neuron and Molecular Cell.

In The Last Decade

Ejona Rusha

9 papers receiving 307 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ejona Rusha Germany 6 257 56 47 47 37 9 309
Ching-Yu Chuang Taiwan 10 285 1.1× 33 0.6× 30 0.6× 55 1.2× 21 0.6× 13 351
Xin-Yao Sun China 8 252 1.0× 44 0.8× 51 1.1× 25 0.5× 14 0.4× 13 373
Mehrnoosh Abshari United States 5 252 1.0× 41 0.7× 14 0.3× 14 0.3× 19 0.5× 6 418
Aslam Abbasi Akhtar United States 6 299 1.2× 76 1.4× 28 0.6× 18 0.4× 11 0.3× 12 364
Matthew J. McCoy United States 7 197 0.8× 17 0.3× 37 0.8× 52 1.1× 21 0.6× 10 270
Britta M. Grebbin Germany 8 197 0.8× 45 0.8× 43 0.9× 27 0.6× 5 0.1× 8 283
Zhongfeng Liu China 10 148 0.6× 31 0.6× 34 0.7× 14 0.3× 18 0.5× 20 247
Nathalie Krusy Belgium 7 232 0.9× 28 0.5× 42 0.9× 28 0.6× 29 0.8× 7 350
Zifei Pei United States 8 174 0.7× 23 0.4× 79 1.7× 14 0.3× 9 0.2× 13 278
Elke Gabriel Germany 8 284 1.1× 128 2.3× 56 1.2× 10 0.2× 18 0.5× 9 399

Countries citing papers authored by Ejona Rusha

Since Specialization
Citations

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

Fields of papers citing papers by Ejona Rusha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ejona Rusha

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

All Works

9 of 9 papers shown
1.
Malpartida, Ana Belén, Therese Riedemann, Mirjana Gušić, et al.. (2024). Direct neuronal reprogramming of NDUFS4 patient cells identifies the unfolded protein response as a novel general reprogramming hurdle. Neuron. 112(7). 1117–1132.e9. 9 indexed citations
2.
Rusha, Ejona, Dario Brunetti, Giovanna Zorzi, et al.. (2023). Generation of two human iPSC lines, HMGUi004-A and FINCBi004-A, from fibroblasts of MPAN patients carrying pathogenic recessive mutations in the gene C19orf12. Stem Cell Research. 72. 103197–103197. 1 indexed citations
3.
Iuso, Arcangela, Ejona Rusha, Tatjana Dorn, et al.. (2022). Generation of two human iPSC lines, HMGUi003-A and MRIi028-A, carrying pathogenic biallelic variants in the PPCS gene. Stem Cell Research. 61. 102773–102773. 2 indexed citations
4.
Grosch, Markus, Ejona Rusha, Dong‐Jiunn Jeffery Truong, et al.. (2020). Nucleus size and DNA accessibility are linked to the regulation of paraspeckle formation in cellular differentiation. BMC Biology. 18(1). 42–42. 20 indexed citations
5.
Modic, Miha, Markus Grosch, Gregor Rot, et al.. (2019). Cross-Regulation between TDP-43 and Paraspeckles Promotes Pluripotency-Differentiation Transition. Molecular Cell. 74(5). 951–965.e13. 92 indexed citations
6.
Rusha, Ejona, Rizwan Rehimi, Miha Modic, et al.. (2019). Pathological ASXL1 Mutations and Protein Variants Impair Neural Crest Development. Stem Cell Reports. 12(5). 861–868. 12 indexed citations
7.
Kanton, Sabina, Christina Kyrousi, Rossella Di Giaimo, et al.. (2019). Altered neuronal migratory trajectories in human cerebral organoids derived from individuals with neuronal heterotopia. Nature Medicine. 25(4). 561–568. 113 indexed citations
8.
Modic, Miha, Gregor Rot, Markus Grosch, et al.. (2018). Cross-Regulation Between TDP-43 and Paraspeckles Promotes Pluripotency-Differentiation Transition. SSRN Electronic Journal. 2 indexed citations
9.
Börner, Kathleen, Eike Kienle, Ejona Rusha, et al.. (2017). Synthetic AAV/CRISPR vectors for blocking HIV‐1 expression in persistently infected astrocytes. Glia. 66(2). 413–427. 58 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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