Philipp Rescheneder

4.6k total citations · 1 hit paper
14 papers, 2.4k citations indexed

About

Philipp Rescheneder is a scholar working on Molecular Biology, Genetics and Insect Science. According to data from OpenAlex, Philipp Rescheneder has authored 14 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Insect Science. Recurrent topics in Philipp Rescheneder's work include Genomics and Phylogenetic Studies (5 papers), RNA and protein synthesis mechanisms (5 papers) and RNA modifications and cancer (3 papers). Philipp Rescheneder is often cited by papers focused on Genomics and Phylogenetic Studies (5 papers), RNA and protein synthesis mechanisms (5 papers) and RNA modifications and cancer (3 papers). Philipp Rescheneder collaborates with scholars based in Austria, United States and United Kingdom. Philipp Rescheneder's co-authors include Arndt von Haeseler, Fritz J. Sedlazeck, Michael C. Schatz, Han Fang, Maria Nattestad, Moritz Smolka, Stefan L. Ameres, Tobias Neumann, Veronika A. Herzog and Johannes Zuber and has published in prestigious journals such as Science, Molecular Cell and Bioinformatics.

In The Last Decade

Philipp Rescheneder

14 papers receiving 2.3k 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.

Accurate detection of complex structural variations using single-molecule sequencing

2018 862 citations Fritz J. Sedlazeck, Philipp Rescheneder et al. Nature Methods profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Philipp Rescheneder Austria	13	1.8k	624	439	265	155	14	2.4k
Alexandre Melnikov United States	17	3.1k 1.8×	1.0k 1.7×	614 1.4×	369 1.4×	152 1.0×	19	4.0k
Peter Rogov United States	14	2.0k 1.2×	870 1.4×	228 0.5×	329 1.2×	128 0.8×	15	2.7k
Nam Nguyen United States	17	982 0.6×	316 0.5×	196 0.4×	346 1.3×	191 1.2×	31	1.5k
Kevin Howe United Kingdom	17	1.4k 0.8×	443 0.7×	472 1.1×	144 0.5×	345 2.2×	21	2.2k
Sean McWilliam Australia	30	808 0.5×	1.2k 1.9×	241 0.5×	343 1.3×	166 1.1×	66	2.4k
Daniel J. Turner United Kingdom	16	2.2k 1.3×	1.2k 1.9×	557 1.3×	392 1.5×	475 3.1×	22	3.3k
Scott William Roy United States	36	3.3k 1.9×	414 0.7×	978 2.2×	96 0.4×	335 2.2×	104	4.0k
Nels C. Elde United States	22	2.0k 1.1×	651 1.0×	1.3k 2.8×	112 0.4×	242 1.6×	47	3.3k
Ted Sharpe United States	7	1.3k 0.8×	954 1.5×	663 1.5×	216 0.8×	333 2.1×	8	2.4k
Gene Levinson United States	18	1.5k 0.9×	1.0k 1.7×	668 1.5×	122 0.5×	255 1.6×	24	2.8k

Countries citing papers authored by Philipp Rescheneder

Since Specialization

Citations

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

Fields of papers citing papers by Philipp Rescheneder

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philipp Rescheneder

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

All Works

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14 of 14 papers shown

Neumann, Tobias, Veronika A. Herzog, Matthias Muhar, et al.. (2019). Quantification of experimentally induced nucleotide conversions in high-throughput sequencing datasets. BMC Bioinformatics. 20(1). 258–258. 90 indexed citations

Muhar, Matthias, Anja Ebert, Tobias Neumann, et al.. (2018). SLAM-seq defines direct gene-regulatory functions of the BRD4-MYC axis. Science. 360(6390). 800–805. 237 indexed citations

Sedlazeck, Fritz J., Philipp Rescheneder, Moritz Smolka, et al.. (2018). Accurate detection of complex structural variations using single-molecule sequencing. Nature Methods. 15(6). 461–468. 862 indexed citations breakdown →

Drecktrah, Dan, et al.. (2018). The Stringent Response-Regulated sRNA Transcriptome of Borrelia burgdorferi. Frontiers in Cellular and Infection Microbiology. 8. 231–231. 18 indexed citations

Nattestad, Maria, Sara Goodwin, Karen Ng, et al.. (2018). Complex rearrangements and oncogene amplifications revealed by long-read DNA and RNA sequencing of a breast cancer cell line. Genome Research. 28(8). 1126–1135. 108 indexed citations

Herzog, Veronika A., Brian Reichholf, Tobias Neumann, et al.. (2017). Thiol-linked alkylation of RNA to assess expression dynamics. Nature Methods. 14(12). 1198–1204. 358 indexed citations

Popitsch, Niko, Ivana Bilusic, Philipp Rescheneder, Renée Schroeder, & Meghan Lybecker. (2017). Temperature-dependent sRNA transcriptome of the Lyme disease spirochete. BMC Genomics. 18(1). 28–28. 35 indexed citations

Rescheneder, Philipp, Niko Popitsch, Ivana Bilusic, et al.. (2017). Natural RNA Polymerase Aptamers Regulate Transcription in E. coli. Molecular Cell. 67(1). 30–43.e6. 36 indexed citations

Gesson, Kevin, et al.. (2016). A-type lamins bind both hetero- and euchromatin, the latter being regulated by lamina-associated polypeptide 2 alpha. Genome Research. 26(4). 462–473. 159 indexed citations

10.

Drecktrah, Dan, et al.. (2015). The Borrelia burgdorferi RelA/SpoT Homolog and Stringent Response Regulate Survival in the Tick Vector and Global Gene Expression during Starvation. PLoS Pathogens. 11(9). e1005160–e1005160. 78 indexed citations

11.

Smolka, Moritz, Philipp Rescheneder, Michael C. Schatz, Arndt von Haeseler, & Fritz J. Sedlazeck. (2015). Teaser: Individualized benchmarking and optimization of read mapping results for NGS data. Genome biology. 16(1). 235–235. 18 indexed citations

12.

Bilusic, Ivana, Niko Popitsch, Philipp Rescheneder, Renée Schroeder, & Meghan Lybecker. (2014). Revisiting the coding potential of theE. coligenome through Hfq co-immunoprecipitation. RNA Biology. 11(5). 641–654. 59 indexed citations

13.

Sedlazeck, Fritz J., Philipp Rescheneder, & Arndt von Haeseler. (2013). NextGenMap: fast and accurate read mapping in highly polymorphic genomes. Bioinformatics. 29(21). 2790–2791. 291 indexed citations

14.

Rescheneder, Philipp, Arndt von Haeseler, & Fritz J. Sedlazeck. (2012). MASon: MILLION ALIGNMENTS IN SECONDS - A Platform Independent Pairwise Sequence Alignment Library for Next Generation Sequencing Data. International Conference on Bioinformatics. 195–201. 1 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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