Ole Schulz-Trieglaff

7.1k total citations · 3 hit papers
18 papers, 2.8k citations indexed

About

Ole Schulz-Trieglaff is a scholar working on Molecular Biology, Spectroscopy and Ecology. According to data from OpenAlex, Ole Schulz-Trieglaff has authored 18 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 7 papers in Spectroscopy and 3 papers in Ecology. Recurrent topics in Ole Schulz-Trieglaff's work include Advanced Proteomics Techniques and Applications (7 papers), Genomics and Phylogenetic Studies (7 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). Ole Schulz-Trieglaff is often cited by papers focused on Advanced Proteomics Techniques and Applications (7 papers), Genomics and Phylogenetic Studies (7 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). Ole Schulz-Trieglaff collaborates with scholars based in Germany, United Kingdom and United States. Ole Schulz-Trieglaff's co-authors include Anthony J. Cox, Felix Schlesinger, Christopher T. Saunders, Richard J. Shaw, Morten Källberg, Bret Barnes, Semyon Kruglyak, Knut Reinert, Clemens Gröpl and Eva Lange and has published in prestigious journals such as New England Journal of Medicine, Nature Biotechnology and Bioinformatics.

In The Last Decade

Ole Schulz-Trieglaff

18 papers receiving 2.7k citations

Hit Papers

Manta: rapid detection of structural variants and ind... 2008 2026 2014 2020 2015 2008 2012 250 500 750 1000
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.

  1. Manta: rapid detection of structural variants and indels for germline and cancer sequencing applications
    2015 1.0k citations Ole Schulz-Trieglaff, Richard J. Shaw et al. Bioinformatics profile →
  2. OpenMS – An open-source software framework for mass spectrometry
    2008 500 citations Marc Sturm, Andreas Bertsch et al. BMC Bioinformatics profile →
  3. Rapid Whole-Genome Sequencing for Investigation of a Neonatal MRSA Outbreak
    2012 462 citations Claudio U. Köser, Matthew T. G. Holden et al. New England Journal of Medicine profile →

Peers

Ole Schulz-Trieglaff
Tobias Ternent United Kingdom
Noemí del‐Toro United Kingdom
Nadin Neuhauser Germany
Gerhard Mayer Germany
Daniel Ríos United Kingdom
Zhi Sun United States
Ian Humphery‐Smith Australia
Antonio Fabregat United Kingdom
Frédéric Schütz Switzerland
Kenneth C. Parker United States
Tobias Ternent United Kingdom
Ole Schulz-Trieglaff
Citations per year, relative to Ole Schulz-Trieglaff Ole Schulz-Trieglaff (= 1×) peers Tobias Ternent

Countries citing papers authored by Ole Schulz-Trieglaff

Since Specialization
Citations

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

Fields of papers citing papers by Ole Schulz-Trieglaff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ole Schulz-Trieglaff. 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 Ole Schulz-Trieglaff. The network helps show where Ole Schulz-Trieglaff may publish in the future.

Co-authorship network of co-authors of Ole Schulz-Trieglaff

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

All Works

18 of 18 papers shown
1.
O’Connell, Jared, et al.. (2016). Rapid genotype refinement for whole-genome sequencing data using multi-variate normal distributions. Bioinformatics. 32(15). 2306–2312. 3 indexed citations
2.
Schulz-Trieglaff, Ole, et al.. (2016). AKT: ancestry and kinship toolkit. Bioinformatics. 33(1). 142–144. 23 indexed citations
3.
O’Connell, Jared, et al.. (2015). NxTrim: optimized trimming of Illumina mate pair reads. Bioinformatics. 31(12). 2035–2037. 107 indexed citations
4.
Schulz-Trieglaff, Ole, Richard J. Shaw, Bret Barnes, et al.. (2015). Manta: rapid detection of structural variants and indels for germline and cancer sequencing applications. Bioinformatics. 32(8). 1220–1222. 1020 indexed citations breakdown →
5.
Murphy, Rebecca R., Jared O’Connell, Anthony J. Cox, & Ole Schulz-Trieglaff. (2015). NxRepair: error correction in de novo sequence assembly using Nextera mate pairs. PeerJ. 3. e996–e996. 17 indexed citations
6.
Schulz-Trieglaff, Ole, et al.. (2014). BEETL-fastq: a searchable compressed archive for DNA reads. Bioinformatics. 30(19). 2796–2801. 21 indexed citations
7.
Schulz-Trieglaff, Ole, et al.. (2013). metaBEETL: high-throughput analysis of heterogeneous microbial populations from shotgun DNA sequences. BMC Bioinformatics. 14(S5). S2–S2. 12 indexed citations
8.
Köser, Claudio U., Matthew T. G. Holden, Matthew J. Ellington, et al.. (2012). Rapid Whole-Genome Sequencing for Investigation of a Neonatal MRSA Outbreak. New England Journal of Medicine. 366(24). 2267–2275. 462 indexed citations breakdown →
9.
Becq, Jennifer, Louise Fraser, Ole Schulz-Trieglaff, et al.. (2012). Genomic Variation among Contemporary Pseudomonas aeruginosa Isolates from Chronically Infected Cystic Fibrosis Patients. Journal of Bacteriology. 194(18). 4857–4866. 69 indexed citations
10.
Chitsaz, Hamidreza, Joyclyn Yee-Greenbaum, Glenn Tesler, et al.. (2011). Efficient de novo assembly of single-cell bacterial genomes from short-read data sets. Nature Biotechnology. 29(10). 915–921. 165 indexed citations
11.
Schulz-Trieglaff, Ole, Egidijus Machtejevas, Knut Reinert, et al.. (2009). Statistical quality assessment and outlier detection for liquid chromatography-mass spectrometry experiments. BioData Mining. 2(1). 4–4. 21 indexed citations
12.
Schulz-Trieglaff, Ole, Nico Pfeifer, Clemens Gröpl, Oliver Kohlbacher, & Knut Reinert. (2008). LC-MSsim – a simulation software for liquid chromatography mass spectrometry data. BMC Bioinformatics. 9(1). 423–423. 41 indexed citations
13.
Sturm, Marc, Andreas Bertsch, Clemens Gröpl, et al.. (2008). OpenMS – An open-source software framework for mass spectrometry. BMC Bioinformatics. 9(1). 163–163. 500 indexed citations breakdown →
14.
Schulz-Trieglaff, Ole, René Hussong, Clemens Gröpl, et al.. (2008). Computational Quantification of Peptides from LC-MS Data. Journal of Computational Biology. 15(7). 685–704. 10 indexed citations
15.
Kohlbacher, Oliver, Knut Reinert, Clemens Gröpl, et al.. (2007). TOPP—the OpenMS proteomics pipeline. Bioinformatics. 23(2). e191–e197. 217 indexed citations
16.
Lange, Eva, Clemens Gröpl, Ole Schulz-Trieglaff, et al.. (2007). A geometric approach for the alignment of liquid chromatography—mass spectrometry data. Bioinformatics. 23(13). i273–i281. 75 indexed citations
17.
Reinert, Knut, Oliver Kohlbacher, Clemens Gröpl, et al.. (2006). OpenMS - A Framework for Quantitative HPLC/MS-Based Proteomics. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 1 indexed citations
18.
Schulz-Trieglaff, Ole. (2005). Stochastic Petri Nets in Systems Biology. BMC Bioinformatics. 6(S3). 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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