Rolf Backofen

24.2k total citations · 3 hit papers
274 papers, 10.7k citations indexed

About

Rolf Backofen is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Rolf Backofen has authored 274 papers receiving a total of 10.7k indexed citations (citations by other indexed papers that have themselves been cited), including 233 papers in Molecular Biology, 30 papers in Genetics and 29 papers in Cancer Research. Recurrent topics in Rolf Backofen's work include RNA and protein synthesis mechanisms (144 papers), RNA modifications and cancer (93 papers) and RNA Research and Splicing (75 papers). Rolf Backofen is often cited by papers focused on RNA and protein synthesis mechanisms (144 papers), RNA modifications and cancer (93 papers) and RNA Research and Splicing (75 papers). Rolf Backofen collaborates with scholars based in Germany, United States and Denmark. Rolf Backofen's co-authors include Sebastian Will, Andreas S. Richter, Martin Mann, Patrick R. Wright, Peter F. Stadler, Anke Busch, Ivo L. Hofacker, Björn Grüning, Daniel Maticzka and Wolfgang R. Hess and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Rolf Backofen

265 papers receiving 10.6k citations

Hit Papers

align trajectories

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.

IntaRNA 2.0: enhanced and customizable prediction of RNA–RNA interactions

2017 448 citations Patrick R. Wright, Rolf Backofen et al. Nucleic Acids Research profile →
DHX9 suppresses RNA processing defects originating from the Alu invasion of the human genome

2017 422 citations Daniel Maticzka, Rolf Backofen et al. profile →
Gut microbiota drives age-related oxidative stress and mitochondrial damage in microglia via the metabolite N6-carboxymethyllysine

2022 163 citations Rolf Backofen et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rolf Backofen Germany	52	9.0k	1.6k	1.4k	1.2k	788	274	10.7k
David H. Mathews United States	47	12.9k 1.4×	1.3k 0.8×	977 0.7×	1.1k 0.9×	1.0k 1.3×	170	14.4k
Michiel de Hoon Japan	29	6.9k 0.8×	1.2k 0.8×	1.4k 1.0×	841 0.7×	1.0k 1.3×	67	9.6k
Saeed Tavazoie United States	38	7.7k 0.9×	1.5k 0.9×	1.1k 0.8×	412 0.3×	704 0.9×	71	9.3k
Nicholas M. Luscombe United Kingdom	57	13.6k 1.5×	2.3k 1.4×	1.6k 1.1×	522 0.4×	1.3k 1.7×	131	15.7k
Páll Melsted Iceland	17	5.7k 0.6×	1.3k 0.8×	877 0.6×	1.1k 0.9×	1.6k 2.0×	32	9.4k
Daniel Blankenberg United States	21	5.5k 0.6×	1.2k 0.7×	643 0.4×	1.1k 0.9×	1.2k 1.5×	50	8.7k
Anton Nekrutenko United States	38	9.4k 1.0×	2.2k 1.4×	1.1k 0.8×	1.7k 1.4×	2.2k 2.8×	87	14.6k
Terry Gaasterland United States	44	5.5k 0.6×	775 0.5×	856 0.6×	1.0k 0.8×	1.2k 1.6×	103	7.5k
Jeremy Goecks United States	14	4.5k 0.5×	891 0.5×	568 0.4×	940 0.8×	951 1.2×	34	7.7k
Andreas Gnirke United States	22	5.6k 0.6×	1.4k 0.8×	1.6k 1.1×	727 0.6×	1.1k 1.4×	28	7.3k

Countries citing papers authored by Rolf Backofen

Since Specialization

Citations

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

Fields of papers citing papers by Rolf Backofen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rolf Backofen

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Hoffmann, Nils, Irena Maus, Sebastian Beier, et al.. (2023). Embedding the de.NBI Cloud in the National Research Data Infrastructure Activities. FreiDok plus (Universitätsbibliothek Freiburg). 1. 1 indexed citations

Bartel, Jürgen, Lisa‐Katharina Maier, Sandra Maaß, et al.. (2023). Revealing the small proteome ofHaloferax volcaniiby combining ribosome profiling and small-protein optimized mass spectrometry. PubMed. 4. uqad001–uqad001. 16 indexed citations

Hummel, Barbara, Florian Eggenhofer, Maria‐Eleni Lalioti, et al.. (2022). The long noncoding RNA mimi scaffolds neuronal granules to maintain nervous system maturity. Science Advances. 8(39). eabo5578–eabo5578. 10 indexed citations

Heyl, Florian & Rolf Backofen. (2021). StoatyDive: Evaluation and classification of peak profiles for sequencing data. GigaScience. 10(6). 3 indexed citations

Bartel, Jürgen, Omer S. Alkhnbashi, Sandra Maaß, et al.. (2021). CdrS Is a Global Transcriptional Regulator Influencing Cell Division in Haloferax volcanii. mBio. 12(4). e0141621–e0141621. 14 indexed citations

Kumar, Anup, Helena Rasche, Björn Grüning, & Rolf Backofen. (2021). Tool recommender system in Galaxy using deep learning. GigaScience. 10(1). 6 indexed citations

Gelhausen, Rick, Teresa Müller, Sarah L. Svensson, et al.. (2021). RiboReport - benchmarking tools for ribosome profiling-based identification of open reading frames in bacteria. Briefings in Bioinformatics. 23(2). 15 indexed citations

Heyl, Florian, Janina Fuß, Bruno Hüettel, et al.. (2021). The temperature-regulated DEAD-box RNA helicase CrhR interactome: autoregulation and photosynthesis-related transcripts. Journal of Experimental Botany. 7 indexed citations

Heyl, Florian, et al.. (2021). Transcriptome-wide in vivo mapping of cleavage sites for the compact cyanobacterial ribonuclease E reveals insights into its function and substrate recognition. Nucleic Acids Research. 49(22). 13075–13091. 12 indexed citations

10.

Alkhnbashi, Omer S., Martin Raden, Tran Van Dinh, et al.. (2021). CRISPRloci: comprehensive and accurate annotation of CRISPR–Cas systems. Nucleic Acids Research. 49(W1). W125–W130. 23 indexed citations

11.

Gelhausen, Rick, Sarah L. Svensson, Florian Heyl, et al.. (2020). HRIBO: high-throughput analysis of bacterial ribosome profiling data. Bioinformatics. 37(14). 2061–2063. 13 indexed citations

12.

Venturini, Elisa, Sarah L. Svensson, Sandra Maaß, et al.. (2020). A global data-driven census of Salmonella small proteins and their potential functions in bacterial virulence. PubMed. 1(1). uqaa002–uqaa002. 35 indexed citations

13.

Miladi, Milad, et al.. (2019). ShaKer: RNA SHAPE prediction using graph kernel. Bioinformatics. 35(14). i354–i359. 7 indexed citations

14.

Alkhnbashi, Omer S., Konrad U. Förstner, Liam Cassidy, et al.. (2018). Cross-cleavage activity of Cas6b in crRNA processing of two different CRISPR-Cas systems in Methanosarcina mazei Gö1. RNA Biology. 16(4). 492–503. 12 indexed citations

15.

Miladi, Milad, et al.. (2018). Integration of accessibility data from structure probing into RNA–RNA interaction prediction. Bioinformatics. 35(16). 2862–2864. 11 indexed citations

16.

Gawronski, Alexander, Michaël Uhl, Yajia Zhang, et al.. (2018). MechRNA: prediction of lncRNA mechanisms from RNA–RNA and RNA–protein interactions. Bioinformatics. 34(18). 3101–3110. 43 indexed citations

17.

Holmqvist, Erik, Patrick R. Wright, Lei Li, et al.. (2016). Global RNA recognition patterns of post‐transcriptional regulators Hfq and CsrA revealed by UV crosslinking in vivo. The EMBO Journal. 35(9). 991–1011. 230 indexed citations

18.

Richter, Hagen, et al.. (2012). Characterization of CRISPR RNA processing in Clostridium thermocellum and Methanococcus maripaludis. Nucleic Acids Research. 40(19). 9887–9896. 95 indexed citations

19.

Meyer, Fernando, Stefan Kurtz, Rolf Backofen, Sebastian Will, & Michael Beckstette. (2011). Structator: fast index-based search for RNA sequence-structure patterns. BMC Bioinformatics. 12(1). 214–214. 20 indexed citations

20.

Backofen, Rolf, et al.. (2003). MARNA: A server for multiple alignment of RNAs.. 28(11). 135–140. 16 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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