David Langenberger

3.4k total citations
21 papers, 1.7k citations indexed

About

David Langenberger is a scholar working on Molecular Biology, Cancer Research and Plant Science. According to data from OpenAlex, David Langenberger has authored 21 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 12 papers in Cancer Research and 4 papers in Plant Science. Recurrent topics in David Langenberger's work include RNA modifications and cancer (9 papers), Cancer-related molecular mechanisms research (8 papers) and MicroRNA in disease regulation (8 papers). David Langenberger is often cited by papers focused on RNA modifications and cancer (9 papers), Cancer-related molecular mechanisms research (8 papers) and MicroRNA in disease regulation (8 papers). David Langenberger collaborates with scholars based in Germany, Austria and United States. David Langenberger's co-authors include Peter F. Stadler, Michael Hackenberg, Steve Hoffmann, Martin Sturm, Kristin C. Gunsalus, Nikolaus Rajewsky, Dominic Grün, Juan Manuel Falcón‐Pérez, Ana M. Aransay and Daniel Teupser and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

David Langenberger

21 papers receiving 1.7k citations

Peers

Countries citing papers authored by David Langenberger

Since Specialization

Citations

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

Fields of papers citing papers by David Langenberger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Langenberger

This figure shows the co-authorship network connecting the top 25 collaborators of David Langenberger. A scholar is included among the top collaborators of David Langenberger 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 David Langenberger. David Langenberger 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	MethylScore, a pipeline for accurate and context-aware identification of differentially methylated regions from population-scale plant whole-genome bisulfite sequencing data 2022 ·SHILAP Revista de lepidopterología ·(unknown), Jörg Hagmann, (unknown), (unknown), Rahul Pisupati, David Langenberger, Detlef Weigel, Frank Johannes, Sebastian J. Schultheiß, Claude Becker	13
2	Manipulating base quality scores enables variant calling from bisulfite sequencing alignments using conventional bayesian approaches 2022 ·BMC Genomics ·(unknown), Christian Otto, Mario Fasold, Peter F. Stadler, David Langenberger	13
3	Comprehensive benchmarking of software for mapping whole genome bisulfite data: from read alignment to DNA methylation analysis 2021 ·Briefings in Bioinformatics ·(unknown), Christian Otto, Peter F. Stadler, David Langenberger	18
4	EpiDiverse Toolkit: a pipeline suite for the analysis of bisulfite sequencing data in ecological plant epigenetics 2021 ·NAR Genomics and Bioinformatics ·(unknown), (unknown), Christian Otto, Mario Fasold, (unknown), Noé Fernández‐Pozo, Stefan A. Rensing, Peter F. Stadler, David Langenberger	24
5	The EpiDiverse Plant Epigenome-Wide Association Studies (EWAS) Pipeline 2021 ·Epigenomes ·(unknown), (unknown), (unknown), David Langenberger, Claude Becker, (unknown), Katrin Heer, Lars Opgenoorth, Noé Fernández‐Pozo, Stefan A. Rensing	8
6	In silico target network analysis of de novo-discovered, tick saliva-specific microRNAs reveals important combinatorial effects in their interference with vertebrate host physiology 2017 ·RNA ·Michael Hackenberg, David Langenberger, Alexandra Schwarz, Jan Erhart, Michail Kotsyfakis	42
7	plantDARIO: web based quantitative and qualitative analysis of small RNA-seq data in plants 2014 ·Frontiers in Plant Science ·(unknown), Mario Fasold, David Langenberger, Gerhard Steger, Ivo Große, Peter F. Stadler	16
8	A multi-split mapping algorithm for circular RNA, splicing, trans-splicing and fusion detection 2014 ·Genome biology ·Steve Hoffmann, Christian Otto, Gero Doose, Andrea Tanzer, David Langenberger, Sabina Christ, Manfred Kunz, Lesca M. Holdt, Daniel Teupser, Jörg Hackermüller, Peter F. Stadler	209
9	Alu Elements in ANRIL Non-Coding RNA at Chromosome 9p21 Modulate Atherogenic Cell Functions through Trans-Regulation of Gene Networks 2013 ·PLoS Genetics ·Lesca M. Holdt, Steve Hoffmann, Kristina Sass, David Langenberger, Markus Scholz, Knut Krohn, Knut Finstermeier, Anika Stahringer, Wolfgang Wilfert, Frank Beutner, Stephan Gielen, Gerhard Schüler, Gábor Gäbel, Hendrik Bergert, Ingo Bechmann, Peter F. Stadler, Joachim Thiery, Daniel Teupser	307
10	Mapping the RNA-Seq trash bin 2013 ·RNA Biology ·Gero Doose, Maria S. Alexis, Rebecca Kirsch, Sven Findeiß, David Langenberger, Rainer Machné, Mario Mörl, Steve Hoffmann, Peter F. Stadler	11
11	Computational Prediction of MicroRNA Genes 2013 ·Methods in molecular biology ·Jana Hertel, David Langenberger, Peter F. Stadler	16
12	In-Depth miRNA Profiling Of Germinal Center Derived B-Cell Lymphomas By Next Generation Sequencing: A Report From The German Icgc-Mmml-Seq Project 2013 ·Blood ·Jessica I. Hoell, Kebria Hezaveh, Stephan Wolf, Steve Hoffmann, David Langenberger, Matthias Schlesner, Peter F. Stadler, Vera Binder, Dido Lenze, Reiner Siebert, Michael Hummel, Arndt Borkhardt	1
13	Dicer‐Processed Small RNAs: Rules and Exceptions 2012 ·Journal of Experimental Zoology Part B Molecular and Developmental Evolution ·David Langenberger, Mehmet Volkan Çakır, Steve Hoffmann, Peter F. Stadler	53
14	DARIO: a ncRNA detection and analysis tool for next-generation sequencing experiments 2011 ·Nucleic Acids Research ·Mario Fasold, David Langenberger, Hans Binder, Peter F. Stadler, Steve Hoffmann	66
15	Traces of post-transcriptional RNA modifications in deep sequencing data 2011 ·Biological Chemistry ·Sven Findeiß, David Langenberger, Peter F. Stadler, Steve Hoffman	48
16	TargetSpy: a supervised machine learning approach for microRNA target prediction 2010 ·BMC Bioinformatics ·Martin Sturm, Michael Hackenberg, David Langenberger, Dmitrij Frishman	132
17	IDENTIFICATION AND CLASSIFICATION OF SMALL RNAS IN TRANSCRIPTOME SEQUENCE DATA 2009 ·WORLD SCIENTIFIC eBooks ·David Langenberger, Clara Isabel Bermúdez-Santana, Peter F. Stadler, Sabine Hoffmann	41
18	miRanalyzer: a microRNA detection and analysis tool for next-generation sequencing experiments 2009 ·Nucleic Acids Research ·Michael Hackenberg, Martin Sturm, David Langenberger, Juan Manuel Falcón‐Pérez, Ana M. Aransay	237
19	Evidence for human microRNA-offset RNAs in small RNA sequencing data 2009 ·Bioinformatics ·David Langenberger, Clara Isabel Bermúdez-Santana, Jana Hertel, Steve Hoffmann, Philipp Khaitovich, Peter F. Stadler	101
20	microRNA Target Predictions across Seven Drosophila Species and Comparison to Mammalian Targets 2005 ·PLoS Computational Biology ·Dominic Grün, (unknown), David Langenberger, Kristin C. Gunsalus, Nikolaus Rajewsky	349

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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