Ivo L. Hofacker

38.7k total citations · 6 hit papers
192 papers, 21.1k citations indexed

About

Ivo L. Hofacker is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Ivo L. Hofacker has authored 192 papers receiving a total of 21.1k indexed citations (citations by other indexed papers that have themselves been cited), including 177 papers in Molecular Biology, 17 papers in Cancer Research and 16 papers in Genetics. Recurrent topics in Ivo L. Hofacker's work include RNA and protein synthesis mechanisms (157 papers), RNA modifications and cancer (93 papers) and RNA Research and Splicing (78 papers). Ivo L. Hofacker is often cited by papers focused on RNA and protein synthesis mechanisms (157 papers), RNA modifications and cancer (93 papers) and RNA Research and Splicing (78 papers). Ivo L. Hofacker collaborates with scholars based in Austria, Germany and United States. Ivo L. Hofacker's co-authors include Peter F. Stadler, Ronny Lorenz, Hakim Tafer, Stephan Wolf, Christoph Flamm, Walter Fontana, Andreas Gruber, Christian Höner zu Siederdissen, Peter Schuster and Stefan Washietl and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Ivo L. Hofacker

188 papers receiving 20.7k citations

Hit Papers

ViennaRNA Package 2.0 1994 2026 2004 2015 2011 2008 2003 1994 1994 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ivo L. Hofacker Austria 61 18.0k 3.8k 2.6k 2.0k 1.6k 192 21.1k
David Tollervey United Kingdom 99 26.9k 1.5× 2.5k 0.7× 2.0k 0.8× 1.9k 0.9× 832 0.5× 257 28.5k
Jack D. Griffith United States 73 14.6k 0.8× 1.5k 0.4× 3.1k 1.2× 1.5k 0.8× 1.6k 1.0× 265 17.7k
Thomas R. Cech United States 105 35.3k 2.0× 2.2k 0.6× 3.3k 1.3× 3.4k 1.7× 3.7k 2.3× 354 40.1k
Juri Rappsilber United Kingdom 76 23.7k 1.3× 2.1k 0.5× 2.7k 1.0× 2.3k 1.1× 639 0.4× 291 29.0k
Alexey I. Nesvizhskii United States 66 20.0k 1.1× 2.4k 0.6× 1.4k 0.5× 989 0.5× 738 0.5× 228 26.6k
Janusz M. Bujnicki Poland 61 13.4k 0.7× 1.9k 0.5× 1.4k 0.5× 783 0.4× 1.0k 0.6× 322 15.3k
Patrick Cramer Germany 88 22.2k 1.2× 926 0.2× 3.0k 1.1× 1.5k 0.7× 1.3k 0.8× 283 25.6k
Michael Zuker United States 43 21.4k 1.2× 1.9k 0.5× 3.7k 1.4× 3.7k 1.8× 3.2k 2.0× 81 27.1k
Nicholas Proudfoot United Kingdom 80 20.1k 1.1× 2.4k 0.6× 2.3k 0.9× 2.1k 1.1× 470 0.3× 219 23.3k
Rotem Sorek Israel 68 15.9k 0.9× 2.7k 0.7× 3.5k 1.3× 2.0k 1.0× 6.1k 3.8× 117 20.0k

Countries citing papers authored by Ivo L. Hofacker

Since Specialization
Citations

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

Fields of papers citing papers by Ivo L. Hofacker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ivo L. Hofacker. 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 Ivo L. Hofacker. The network helps show where Ivo L. Hofacker may publish in the future.

Co-authorship network of co-authors of Ivo L. Hofacker

This figure shows the co-authorship network connecting the top 25 collaborators of Ivo L. Hofacker. A scholar is included among the top collaborators of Ivo L. Hofacker 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 Ivo L. Hofacker. Ivo L. Hofacker 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.
Bussi, Giovanni, et al.. (2024). Sampling globally and locally correct RNA 3D structures using Ernwin, SPQR and experimental SAXS data. Nucleic Acids Research. 52(16). e73–e73. 4 indexed citations
2.
Lorenz, Ronny, et al.. (2024). Phylogenetic and Chemical Probing Information as Soft Constraints in RNA Secondary Structure Prediction. Journal of Computational Biology. 31(6). 549–563. 1 indexed citations
3.
Lorenz, Ronny, et al.. (2023). DrTransformer : heuristic cotranscriptional RNA folding using the nearest neighbor energy model. Bioinformatics. 39(1). 6 indexed citations
4.
Hofacker, Ivo L., et al.. (2023). Modified RNAs and predictions with the ViennaRNA Package. Bioinformatics. 39(11). 8 indexed citations
5.
Beckmann, Irene K., et al.. (2023). 3D feasibility of 2D RNA–RNA interaction paths by stepwise folding simulations. RNA. 30(2). 113–123. 1 indexed citations
6.
Lorenz, Ronny, et al.. (2015). SHAPE directed RNA folding. Bioinformatics. 32(1). 145–147. 72 indexed citations
7.
Hecker, Nikolai, Mikkel Christensen‐Dalsgaard, Stefan E. Seemann, et al.. (2015). Optimizing RNA structures by sequence extensions using RNAcop. Nucleic Acids Research. 43(17). 8135–8145. 4 indexed citations
8.
Lavender, Christopher A., Ronny Lorenz, Ge Zhang, et al.. (2015). Model-Free RNA Sequence and Structure Alignment Informed by SHAPE Probing Reveals a Conserved Alternate Secondary Structure for 16S rRNA. PLoS Computational Biology. 11(5). e1004126–e1004126. 31 indexed citations
9.
Siederdissen, Christian Höner zu, Fabian Amman, Axel Wintsche, et al.. (2015). Processed Small RNAs in Archaea and BHB Elements. Max Planck Institute for Plasma Physics. 1(1). 18–18. 3 indexed citations
10.
Washietl, Stefan, Ivo L. Hofacker, Peter F. Stadler, & Manolis Kellis. (2012). RNA folding with soft constraints: reconciliation of probing data and thermodynamic secondary structure prediction. Nucleic Acids Research. 40(10). 4261–4272. 89 indexed citations
11.
Hackl, Matthias, Tobias Jakobi, Jochen Blom, et al.. (2011). Next-generation sequencing of the Chinese hamster ovary microRNA transcriptome: Identification, annotation and profiling of microRNAs as targets for cellular engineering. Journal of Biotechnology. 153(1-2). 62–75. 81 indexed citations
12.
Lorenz, Ronny, Stephan Wolf, Christian Höner zu Siederdissen, et al.. (2011). ViennaRNA Package 2.0. Algorithms for Molecular Biology. 6(1). 26–26. 3358 indexed citations breakdown →
13.
Gruber, Andreas, Andrea Tanzer, Stephan Wolf, et al.. (2010). Nematode sbRNAs: Homologs of Vertebrate Y RNAs. Journal of Molecular Evolution. 70(4). 346–358. 26 indexed citations
14.
Lorenz, Ronny, Christoph Flamm, & Ivo L. Hofacker. (2009). 2D Projections of RNA Folding Landscapes.. 11–20. 17 indexed citations
15.
Flamm, Christoph, Ivo L. Hofacker, Peter F. Stadler, & Michael T. Wolfinger. (2008). Barrier Trees of Degenerate Landscapes 1. 91 indexed citations
16.
Flamm, Christoph, Ivo L. Hofacker, Bärbel M. R. Stadler, & Peter F. Stadler. (2007). Saddles and barrier in landscapes of generalized search operators. 194–212. 10 indexed citations
17.
Mosig, Axel, Ivo L. Hofacker, & Peter F. Stadler. (2006). Comparative analysis of cyclic sequences: Viroids and other small circular RNAs. Qucosa (Saxon State and University Library Dresden). 93–102. 12 indexed citations
18.
Thurner, Caroline, Ivo L. Hofacker, & Peter F. Stadler. (2004). Conserved RNA Pseudoknots.. Qucosa (Saxon State and University Library Dresden). 35(22). 207–216. 1 indexed citations
19.
Hofacker, Ivo L., et al.. (2004). Prediction of locally stable RNA secondary structures for genome-wide surveys. Bioinformatics. 20(2). 186–190. 112 indexed citations
20.
Hofacker, Ivo L., et al.. (1996). Dynamic Programming Algorithm for the Density of States of RNA Secondary Structures.. 184–186. 18 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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