Mario Hofweber

1.4k total citations · 1 hit paper
8 papers, 971 citations indexed

About

Mario Hofweber is a scholar working on Molecular Biology, Genetics and Neurology. According to data from OpenAlex, Mario Hofweber has authored 8 papers receiving a total of 971 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Neurology. Recurrent topics in Mario Hofweber's work include RNA Research and Splicing (7 papers), RNA modifications and cancer (3 papers) and RNA and protein synthesis mechanisms (3 papers). Mario Hofweber is often cited by papers focused on RNA Research and Splicing (7 papers), RNA modifications and cancer (3 papers) and RNA and protein synthesis mechanisms (3 papers). Mario Hofweber collaborates with scholars based in Germany, Austria and United States. Mario Hofweber's co-authors include Dorothee Dormann, Saskia Hutten, Benjamin Bourgeois, Tobias Madl, Emil Spreitzer, Mikael Simons, Dierk Niessing, Martina Schifferer, Marc‐David Ruepp and Susanne Krämer and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Mario Hofweber

7 papers receiving 964 citations

Hit Papers

Phase Separation of FUS Is Suppressed by Its Nuclear Impo... 2018 2026 2020 2023 2018 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Phase Separation of FUS Is Suppressed by Its Nuclear Import Receptor and Arginine Methylation
    2018 497 citations Mario Hofweber, Saskia Hutten et al. Cell profile →

Peers

Mario Hofweber
Zachary Monahan United States
Ho Yee Joyce Fung United States
En‐Ching Luo United States
Emil Spreitzer Austria
Amirhossein Ghanbari Niaki United States
Charlotte M. Fare United States
Edgar E. Boczek Germany
Bhalchandra S. Rao United States
Christy L. Rhine United States
Ina Huppertz Germany
Zachary Monahan United States
Mario Hofweber
Citations per year, relative to Mario Hofweber Mario Hofweber (= 1×) peers Zachary Monahan

Countries citing papers authored by Mario Hofweber

Since Specialization
Citations

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

Fields of papers citing papers by Mario Hofweber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Hofweber

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

All Works

8 of 8 papers shown
1.
Monecke, Thomas, Janosch Hennig, Mario Hofweber, et al.. (2024). Intrinsically disordered RNA-binding motifs cooperate to catalyze RNA folding and drive phase separation. Nucleic Acids Research. 52(22). 14205–14228.
2.
Hutten, Saskia, et al.. (2021). The RNA-binding protein FUS is chaperoned and imported into the nucleus by a network of import receptors. Journal of Biological Chemistry. 296. 100659–100659. 32 indexed citations
3.
Bourgeois, Benjamin, Saskia Hutten, Benjamin Gottschalk, et al.. (2020). Nonclassical nuclear localization signals mediate nuclear import of CIRBP. Proceedings of the National Academy of Sciences. 117(15). 8503–8514. 46 indexed citations
4.
Hutten, Saskia, Sinem Usluer, Benjamin Bourgeois, et al.. (2020). Nuclear Import Receptors Directly Bind to Arginine-Rich Dipeptide Repeat Proteins and Suppress Their Pathological Interactions. Cell Reports. 33(12). 108538–108538. 66 indexed citations
5.
Hofweber, Mario, Saskia Hutten, Benjamin Bourgeois, et al.. (2018). Phase Separation of FUS Is Suppressed by Its Nuclear Import Receptor and Arginine Methylation. Cell. 173(3). 706–719.e13. 497 indexed citations breakdown →
6.
Hofweber, Mario & Dorothee Dormann. (2018). Friend or foe—Post-translational modifications as regulators of phase separation and RNP granule dynamics. Journal of Biological Chemistry. 294(18). 7137–7150. 275 indexed citations
7.
Mulholland, Christopher B., Martha Smets, Yolanda Markaki, et al.. (2015). A modular open platform for systematic functional studies under physiological conditions. Nucleic Acids Research. 43(17). e112–e112. 29 indexed citations
8.
Krüger, Timothy, Mario Hofweber, & Susanne Krämer. (2013). SCD6 induces ribonucleoprotein granule formation in trypanosomes in a translation-independent manner, regulated by its Lsm and RGG domains. Molecular Biology of the Cell. 24(13). 2098–2111. 26 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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