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 — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Langenberger Germany 16 1.4k 1.1k 199 114 90 21 1.7k
Carolyn G. Marsden United States 10 2.0k 1.4× 1.1k 0.9× 301 1.5× 150 1.3× 138 1.5× 13 2.3k
Catherine Adamidi United States 8 1.2k 0.8× 771 0.7× 271 1.4× 90 0.8× 87 1.0× 8 1.5k
David P. Bartel United States 7 1.5k 1.0× 1.1k 1.0× 289 1.5× 113 1.0× 125 1.4× 8 1.8k
Wei‐Jen Chung United States 12 1.4k 1.0× 1.0k 0.9× 332 1.7× 59 0.5× 108 1.2× 14 1.7k
Julia Höck Germany 6 1.2k 0.8× 662 0.6× 177 0.9× 64 0.6× 128 1.4× 6 1.4k
Xuecheng Ye United States 14 1.5k 1.0× 675 0.6× 215 1.1× 57 0.5× 143 1.6× 21 1.8k
Andrea Tanzer Austria 24 2.0k 1.4× 1.2k 1.0× 319 1.6× 234 2.1× 134 1.5× 29 2.4k
Tim Rand United States 9 1.4k 1.0× 539 0.5× 264 1.3× 91 0.8× 164 1.8× 10 1.7k
Fedor V. Karginov United States 17 1.8k 1.3× 827 0.7× 120 0.6× 160 1.4× 144 1.6× 28 2.0k
Sylvia E. J. Fischer United States 16 2.3k 1.6× 859 0.8× 614 3.1× 309 2.7× 90 1.0× 27 2.5k

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

20 of 20 papers shown
1.
Hagmann, Jörg, Rahul Pisupati, David Langenberger, et al.. (2022). MethylScore, a pipeline for accurate and context-aware identification of differentially methylated regions from population-scale plant whole-genome bisulfite sequencing data. SHILAP Revista de lepidopterología. 3. e19–e19. 13 indexed citations
2.
Otto, Christian, et al.. (2022). Manipulating base quality scores enables variant calling from bisulfite sequencing alignments using conventional bayesian approaches. BMC Genomics. 23(1). 477–477. 13 indexed citations
3.
Otto, Christian, et al.. (2021). Comprehensive benchmarking of software for mapping whole genome bisulfite data: from read alignment to DNA methylation analysis. Briefings in Bioinformatics. 22(5). 18 indexed citations
4.
Otto, Christian, Mario Fasold, Noé Fernández‐Pozo, et al.. (2021). EpiDiverse Toolkit: a pipeline suite for the analysis of bisulfite sequencing data in ecological plant epigenetics. NAR Genomics and Bioinformatics. 3(4). lqab106–lqab106. 24 indexed citations
5.
Langenberger, David, Claude Becker, Katrin Heer, et al.. (2021). The EpiDiverse Plant Epigenome-Wide Association Studies (EWAS) Pipeline. Epigenomes. 5(2). 12–12. 8 indexed citations
6.
Hackenberg, Michael, David Langenberger, Alexandra Schwarz, Jan Erhart, & Michail Kotsyfakis. (2017). In silico target network analysis of de novo-discovered, tick saliva-specific microRNAs reveals important combinatorial effects in their interference with vertebrate host physiology. RNA. 23(8). 1259–1269. 42 indexed citations
7.
Fasold, Mario, et al.. (2014). plantDARIO: web based quantitative and qualitative analysis of small RNA-seq data in plants. Frontiers in Plant Science. 5. 708–708. 16 indexed citations
8.
Hoffmann, Steve, Christian Otto, Gero Doose, et al.. (2014). A multi-split mapping algorithm for circular RNA, splicing, trans-splicing and fusion detection. Genome biology. 15(2). R34–R34. 209 indexed citations
9.
Holdt, Lesca M., Steve Hoffmann, Kristina Sass, et al.. (2013). Alu Elements in ANRIL Non-Coding RNA at Chromosome 9p21 Modulate Atherogenic Cell Functions through Trans-Regulation of Gene Networks. PLoS Genetics. 9(7). e1003588–e1003588. 307 indexed citations
10.
Doose, Gero, Maria S. Alexis, Rebecca Kirsch, et al.. (2013). Mapping the RNA-Seq trash bin. RNA Biology. 10(7). 1204–1210. 11 indexed citations
11.
Hertel, Jana, David Langenberger, & Peter F. Stadler. (2013). Computational Prediction of MicroRNA Genes. Methods in molecular biology. 1097. 437–456. 16 indexed citations
12.
Hoell, Jessica I., Kebria Hezaveh, Stephan Wolf, et al.. (2013). In-Depth miRNA Profiling Of Germinal Center Derived B-Cell Lymphomas By Next Generation Sequencing: A Report From The German Icgc-Mmml-Seq Project. Blood. 122(21). 2500–2500. 1 indexed citations
13.
Langenberger, David, Mehmet Volkan Çakır, Steve Hoffmann, & Peter F. Stadler. (2012). Dicer‐Processed Small RNAs: Rules and Exceptions. Journal of Experimental Zoology Part B Molecular and Developmental Evolution. 320(1). 35–46. 53 indexed citations
14.
Fasold, Mario, David Langenberger, Hans Binder, Peter F. Stadler, & Steve Hoffmann. (2011). DARIO: a ncRNA detection and analysis tool for next-generation sequencing experiments. Nucleic Acids Research. 39(suppl_2). W112–W117. 66 indexed citations
15.
Findeiß, Sven, David Langenberger, Peter F. Stadler, & Steve Hoffman. (2011). Traces of post-transcriptional RNA modifications in deep sequencing data. Biological Chemistry. 392(4). 305–13. 48 indexed citations
16.
Sturm, Martin, Michael Hackenberg, David Langenberger, & Dmitrij Frishman. (2010). TargetSpy: a supervised machine learning approach for microRNA target prediction. BMC Bioinformatics. 11(1). 292–292. 132 indexed citations
17.
Langenberger, David, Clara Isabel Bermúdez-Santana, Peter F. Stadler, & Sabine Hoffmann. (2009). IDENTIFICATION AND CLASSIFICATION OF SMALL RNAS IN TRANSCRIPTOME SEQUENCE DATA. WORLD SCIENTIFIC eBooks. 80–87. 41 indexed citations
18.
Hackenberg, Michael, Martin Sturm, David Langenberger, Juan Manuel Falcón‐Pérez, & Ana M. Aransay. (2009). miRanalyzer: a microRNA detection and analysis tool for next-generation sequencing experiments. Nucleic Acids Research. 37(suppl_2). W68–W76. 237 indexed citations
19.
Langenberger, David, Clara Isabel Bermúdez-Santana, Jana Hertel, et al.. (2009). Evidence for human microRNA-offset RNAs in small RNA sequencing data. Bioinformatics. 25(18). 2298–2301. 101 indexed citations
20.
Grün, Dominic, et al.. (2005). microRNA Target Predictions across Seven Drosophila Species and Comparison to Mammalian Targets. PLoS Computational Biology. 1(1). e13–e13. 349 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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