Martin Raden

493 total citations
20 papers, 160 citations indexed

About

Martin Raden is a scholar working on Molecular Biology, Nature and Landscape Conservation and Atmospheric Science. According to data from OpenAlex, Martin Raden has authored 20 papers receiving a total of 160 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 3 papers in Nature and Landscape Conservation and 3 papers in Atmospheric Science. Recurrent topics in Martin Raden's work include RNA and protein synthesis mechanisms (14 papers), RNA Research and Splicing (11 papers) and RNA modifications and cancer (10 papers). Martin Raden is often cited by papers focused on RNA and protein synthesis mechanisms (14 papers), RNA Research and Splicing (11 papers) and RNA modifications and cancer (10 papers). Martin Raden collaborates with scholars based in Germany, Austria and Brazil. Martin Raden's co-authors include Rolf Backofen, Milad Miladi, Seija Lehnardt, Thomas Wallach, Christina Krüger, Yuanyuan Zhai, Thomas Seifert, Rick Gelhausen, Elena Larysch and Heinrich Spiecker and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and International Journal of Molecular Sciences.

In The Last Decade

Martin Raden

19 papers receiving 160 citations

Peers

Countries citing papers authored by Martin Raden

Since Specialization

Citations

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

Fields of papers citing papers by Martin Raden

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Raden

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	`CheRRI`—Accurate classification of the biological relevance of putative RNA–RNA interaction sites 2024 ·GigaScience ·Teresa Müller, (unknown), Pavankumar Videm, Florian Eggenhofer, Martin Raden, Rolf Backofen	0
2	Distinct SARS-CoV-2 RNA fragments activate Toll-like receptors 7 and 8 and induce cytokine release from human macrophages and microglia 2023 ·Frontiers in Immunology ·Thomas Wallach, Martin Raden, (unknown), (unknown), (unknown), (unknown), Christina Krüger, Helmut Kettenmann, Rolf Backofen, Seija Lehnardt	20
3	Temporal annotation of high-resolution intra-annual wood density information of Eucalyptus urophylla and its correlation with hydroclimatic conditions 2022 ·Dendrochronologia ·(unknown), Martin Raden, Luciana Duque Silva, Hans‐Peter Kahle	1
4	`CRISPRloci:` comprehensive and accurate annotation of CRISPR–Cas systems 2021 ·Nucleic Acids Research ·Omer S. Alkhnbashi, (unknown), (unknown), Martin Raden, Tran Van Dinh, Florian Eggenhofer, Shiraz A. Shah, (unknown), (unknown), Danilo Sipoli Sanches, André C. P. L. F. de Carvalho, Rolf Backofen	23
5	An Integrated Database of Small RNAs and Their Interplay With Transcriptional Gene Regulatory Networks in Corynebacteria 2021 ·Frontiers in Microbiology ·(unknown), (unknown), Flávia Figueira Aburjaile, (unknown), Rodrigo Bentes Kato, Martin Raden, Rolf Backofen, Vasco Azevedo, Jan Baumbach	2
6	MicroRNA-100-5p and microRNA-298-5p released from apoptotic cortical neurons are endogenous Toll-like receptor 7/8 ligands that contribute to neurodegeneration 2021 ·Molecular Neurodegeneration ·Thomas Wallach, (unknown), Michal Szczepek, (unknown), Rui S. R. Machado, Martin Raden, Milad Miladi, Gunnar Kleinau, Christina Krüger, Paul Dembny, Drew Adler, Yuanyuan Zhai, (unknown), Omar Dzaye, (unknown), Matthias E. Futschik, Rolf Backofen, Patrick Scheerer, Seija Lehnardt	31
7	Structure-aware machine learning identifies microRNAs operating as Toll-like receptor 7/8 ligands 2021 ·RNA Biology ·Martin Raden, Thomas Wallach, Milad Miladi, Yuanyuan Zhai, Christina Krüger, (unknown), Paul Dembny, Rolf Backofen, Seija Lehnardt	9
8	Effects of Intra-Seasonal Drought on Kinetics of Tracheid Differentiation and Seasonal Growth Dynamics of Norway Spruce along an Elevational Gradient 2021 ·Forests ·Dominik Florian Stangler, Hans‐Peter Kahle, Martin Raden, Elena Larysch, Thomas Seifert, Heinrich Spiecker	16
9	The impact of various seed, accessibility and interaction constraints on sRNA target prediction- a systematic assessment 2020 ·BMC Bioinformatics ·Martin Raden, Teresa Müller, (unknown), Rick Gelhausen, Rolf Backofen	6
10	Fast and accurate structure probability estimation for simultaneous alignment and folding of RNAs with Markov chains 2020 ·Algorithms for Molecular Biology ·Milad Miladi, Martin Raden, Sebastian Will, Rolf Backofen	2
11	CopomuS—Ranking Compensatory Mutations to Guide RNA-RNA Interaction Verification Experiments 2020 ·International Journal of Molecular Sciences ·Martin Raden, (unknown), Michaël Uhl, Rolf Backofen	1
12	The potential of intra-annual density information for crossdating of short tree-ring series 2020 ·Dendrochronologia ·Martin Raden, (unknown), Heinrich Spiecker, Rolf Backofen, Hans‐Peter Kahle	2
13	MutaRNA: analysis and visualization of mutation-induced changes in RNA structure 2020 ·Nucleic Acids Research ·Milad Miladi, Martin Raden, Sven Diederichs, Rolf Backofen	13
14	ShaKer: RNA SHAPE prediction using graph kernel 2019 ·Bioinformatics ·(unknown), (unknown), Milad Miladi, Martin Raden, Fabrizio Costa, Rolf Backofen	7
15	Constraint Maximal Inter-molecular Helix Lengths within RNA-RNA Interaction Prediction Improves Bacterial sRNA Target Prediction 2019 ·SPIRE - Sciences Po Institutional REpository ·Rick Gelhausen, Sebastian Will, Ivo L. Hofacker, Rolf Backofen, Martin Raden	1
16	IntaRNAhelix-composing RNA–RNA interactions from stable inter-molecular helices boosts bacterial sRNA target prediction 2019 ·Journal of Bioinformatics and Computational Biology ·Rick Gelhausen, Sebastian Will, Ivo L. Hofacker, Rolf Backofen, Martin Raden	6
17	pourRNA—a time- and memory-efficient approach for the guided exploration of RNA energy landscapes 2019 ·Bioinformatics ·(unknown), Martin Raden	2
18	Integration of accessibility data from structure probing into RNA–RNA interaction prediction 2018 ·Bioinformatics ·Milad Miladi, (unknown), Rolf Backofen, Martin Raden	11
19	Interactive implementations of thermodynamics-based RNA structure and RNA–RNA interaction prediction approaches for example-driven teaching 2018 ·PLoS Computational Biology ·Martin Raden, (unknown), (unknown), Rolf Backofen	6
20	How to do RNA-RNA Interaction Prediction? A Use-Case Driven Handbook Using IntaRNA 2012 ·Methods in molecular biology ·Martin Raden, Milad Miladi	1

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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