Mihaela Zavolan

36.5k total citations · 10 hit papers
141 papers, 19.7k citations indexed

About

Mihaela Zavolan is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Mihaela Zavolan has authored 141 papers receiving a total of 19.7k indexed citations (citations by other indexed papers that have themselves been cited), including 133 papers in Molecular Biology, 55 papers in Cancer Research and 6 papers in Oncology. Recurrent topics in Mihaela Zavolan's work include RNA Research and Splicing (91 papers), RNA modifications and cancer (70 papers) and RNA and protein synthesis mechanisms (52 papers). Mihaela Zavolan is often cited by papers focused on RNA Research and Splicing (91 papers), RNA modifications and cancer (70 papers) and RNA and protein synthesis mechanisms (52 papers). Mihaela Zavolan collaborates with scholars based in Switzerland, United States and Germany. Mihaela Zavolan's co-authors include Jean Hausser, Thomas Tuschl, Erik van Nimwegen, Sébastien Pfeffer, Philipp Berninger, Dimos Gaidatzis, Minchen Chien, James J. Russo, Andreas Gruber and Andreas Gruber and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Mihaela Zavolan

141 papers receiving 19.4k citations

Hit Papers

Transcriptome-wide Identification of RNA-Binding Protein ... 2003 2026 2010 2018 2010 2004 2006 2005 2011 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mihaela Zavolan Switzerland 63 16.5k 9.1k 1.8k 1.2k 1.2k 141 19.7k
Gunter Meister Germany 65 16.9k 1.0× 9.4k 1.0× 1.9k 1.0× 721 0.6× 1.4k 1.2× 162 20.0k
Manuel Garber United States 35 13.9k 0.8× 9.7k 1.1× 1.0k 0.6× 894 0.8× 871 0.8× 58 17.0k
Scott M. Hammond United States 50 24.3k 1.5× 15.0k 1.6× 2.7k 1.5× 701 0.6× 1.8k 1.5× 72 28.8k
Xiang‐Dong Fu United States 84 19.8k 1.2× 3.7k 0.4× 1.8k 1.0× 730 0.6× 1.1k 0.9× 207 23.1k
Lee P. Lim United States 27 17.8k 1.1× 14.2k 1.6× 2.6k 1.4× 567 0.5× 1.1k 0.9× 47 21.6k
Elisa Izaurralde Germany 89 22.9k 1.4× 5.8k 0.6× 1.8k 1.0× 860 0.7× 1.4k 1.3× 163 25.6k
Nicholas T. Ingolia United States 48 15.1k 0.9× 4.0k 0.4× 821 0.5× 1.1k 0.9× 1.1k 1.0× 89 18.1k
Witold Filipowicz Switzerland 69 23.8k 1.4× 14.4k 1.6× 3.2k 1.8× 1.1k 0.9× 1.9k 1.6× 162 28.9k
Mitchell Guttman United States 43 20.7k 1.3× 14.6k 1.6× 1.2k 0.7× 939 0.8× 895 0.8× 65 23.3k
V. Narry Kim South Korea 49 23.0k 1.4× 16.8k 1.8× 2.4k 1.3× 801 0.7× 1.9k 1.6× 92 28.3k

Countries citing papers authored by Mihaela Zavolan

Since Specialization
Citations

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

Fields of papers citing papers by Mihaela Zavolan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mihaela Zavolan

This figure shows the co-authorship network connecting the top 25 collaborators of Mihaela Zavolan. A scholar is included among the top collaborators of Mihaela Zavolan 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 Mihaela Zavolan. Mihaela Zavolan 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.
González, Asier, et al.. (2024). Current limitations in predicting mRNA translation with deep learning models. Genome biology. 25(1). 227–227. 8 indexed citations
2.
Ataman, Meriç, Julius Rabl, Andrey A. Mironov, et al.. (2024). Ribosomal protein RPL39L is an efficiency factor in the cotranslational folding of a subset of proteins with alpha helical domains. Nucleic Acids Research. 52(15). 9028–9048. 7 indexed citations
3.
Börsch, Anastasiya, et al.. (2023). Impaired age-associated mitochondrial translation is mitigated by exercise and PGC-1α. Proceedings of the National Academy of Sciences. 120(36). e2302360120–e2302360120. 24 indexed citations
4.
Katsantoni, Maria, Erik van Nimwegen, & Mihaela Zavolan. (2023). Improved analysis of (e)CLIP data with RCRUNCH yields a compendium of RNA-binding protein binding sites and motifs. Genome biology. 24(1). 7 indexed citations
5.
Bürri, Dominik, et al.. (2023). Identification of experimentally-supported poly(A) sites in single-cell RNA-seq data with SCINPAS. NAR Genomics and Bioinformatics. 5(3). lqad079–lqad079. 1 indexed citations
6.
Ham, Daniel J., Anastasiya Börsch, Shuo Lin, et al.. (2022). Distinct and additive effects of calorie restriction and rapamycin in aging skeletal muscle. Nature Communications. 13(1). 2025–2025. 58 indexed citations
7.
Hafner, Markus, Maria Katsantoni, Tino Köster, et al.. (2021). CLIP and complementary methods. Nature Reviews Methods Primers. 1(1). 183 indexed citations
8.
Börsch, Anastasiya, Daniel J. Ham, Nitish Mittal, et al.. (2021). Molecular and phenotypic analysis of rodent models reveals conserved and species-specific modulators of human sarcopenia. Communications Biology. 4(1). 194–194. 53 indexed citations
9.
Ghosh, Souvik, Joao C. Guimaraes, Manuela Lanzafame, et al.. (2020). Prevention of dsRNA‐induced interferon signaling by AGO1x is linked to breast cancer cell proliferation. The EMBO Journal. 39(18). e103922–e103922. 21 indexed citations
10.
Guimaraes, Joao C., Nitish Mittal, Dominik Jedlinski, et al.. (2020). A rare codon-based translational program of cell proliferation. Genome biology. 21(1). 44–44. 40 indexed citations
11.
Gruber, Andreas & Mihaela Zavolan. (2019). Alternative cleavage and polyadenylation in health and disease. Nature Reviews Genetics. 20(10). 599–614. 300 indexed citations
12.
Essig, Katharina, Joao C. Guimaraes, Claudia Lohs, et al.. (2018). Roquin targets mRNAs in a 3′-UTR-specific manner by different modes of regulation. Nature Communications. 9(1). 3810–3810. 41 indexed citations
13.
Mittal, Nitish, Joao C. Guimaraes, Thomas P. Gross, et al.. (2017). The Gcn4 transcription factor reduces protein synthesis capacity and extends yeast lifespan. Nature Communications. 8(1). 457–457. 73 indexed citations
14.
Zavolan, Mihaela & Alexander Kanitz. (2017). RNA splicing and its connection with other regulatory layers in somatic cell reprogramming. Current Opinion in Cell Biology. 52. 8–13. 7 indexed citations
15.
Tattikota, Sudhir Gopal, Thomas Rathjen, Jean Hausser, et al.. (2015). miR-184 Regulates Pancreatic β-Cell Function According to Glucose Metabolism. Journal of Biological Chemistry. 290(33). 20284–20294. 57 indexed citations
16.
Kishore, Shivendra, Salvatore Piscuoglio, Michal Kováč, et al.. (2013). 3′-UTR Poly(T/U) Tract Deletions and Altered Expression of EWSR1 Are a Hallmark of Mismatch Repair–Deficient Cancers. Cancer Research. 74(1). 224–234. 7 indexed citations
17.
Hafner, Markus, Markus Landthaler, Jean Hausser, et al.. (2010). PAR-CliP - A Method to Identify Transcriptome-wide the Binding Sites of RNA Binding Proteins. Journal of Visualized Experiments. 65 indexed citations
18.
Feederle, Regina, Jan Mrázek, Natalia Schiefermeier-Mach, et al.. (2009). Expression and Processing of a Small Nucleolar RNA from the Epstein-Barr Virus Genome. PLoS Pathogens. 5(8). e1000547–e1000547. 81 indexed citations
19.
Poy, Matthew N., Jean Hausser, Mirko Trajkovski, et al.. (2009). miR-375 maintains normal pancreatic α- and β-cell mass. Proceedings of the National Academy of Sciences. 106(14). 5813–5818. 617 indexed citations breakdown →
20.
Zavolan, Mihaela, Erik van Nimwegen, & Terry Gaasterland. (2002). Splice Variation in Mouse Full-Length cDNAs Identified by Mapping to the Mouse Genome. Genome Research. 12(9). 1377–1385. 57 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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