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

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.

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 →
OpenMS – An open-source software framework for mass spectrometry

2008 500 citations Marc Sturm, Andreas Bertsch et al. BMC Bioinformatics profile →
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

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

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18 of 18 papers shown

#	Work	Indexed citations
1	Rapid genotype refinement for whole-genome sequencing data using multi-variate normal distributions 2016 ·Bioinformatics ·(unknown), Jared O’Connell, Ole Schulz-Trieglaff, Anthony J. Cox	3
2	AKT: ancestry and kinship toolkit 2016 ·Bioinformatics ·(unknown), Ole Schulz-Trieglaff, Anthony J. Cox, Jared O’Connell	23
3	NxTrim: optimized trimming of Illumina mate pair reads 2015 ·Bioinformatics ·Jared O’Connell, Ole Schulz-Trieglaff, (unknown), Matthew M. Hims, Niall Gormley, Anthony J. Cox	107
4	Manta: rapid detection of structural variants and indels for germline and cancer sequencing applications breakdown → 2015 ·Bioinformatics ·(unknown), Ole Schulz-Trieglaff, Richard J. Shaw, Bret Barnes, Felix Schlesinger, Morten Källberg, Anthony J. Cox, Semyon Kruglyak, Christopher T. Saunders	1020
5	NxRepair: error correction in de novo sequence assembly using Nextera mate pairs 2015 ·PeerJ ·Rebecca R. Murphy, Jared O’Connell, Anthony J. Cox, Ole Schulz-Trieglaff	17
6	BEETL-fastq: a searchable compressed archive for DNA reads 2014 ·Bioinformatics ·(unknown), Ole Schulz-Trieglaff, Anthony J. Cox	21
7	metaBEETL: high-throughput analysis of heterogeneous microbial populations from shotgun DNA sequences 2013 ·BMC Bioinformatics ·(unknown), Ole Schulz-Trieglaff, Jens Stoye, Anthony J. Cox	12
8	Rapid Whole-Genome Sequencing for Investigation of a Neonatal MRSA Outbreak breakdown → 2012 ·New England Journal of Medicine ·Claudio U. Köser, Matthew T. G. Holden, Matthew J. Ellington, Edward J. P. Cartwright, Nicholas M. Brown, Amanda Ogilvy‐Stuart, Li Yang Hsu, Claire Chewapreecha, Nicholas J. Croucher, Simon R. Harris, Mandy Sanders, Mark C. Enright, Gordon Dougan, Stephen D. Bentley, Julian Parkhill, Louise Fraser, Jason Betley, Ole Schulz-Trieglaff, Geoffrey Smith, Sharon J. Peacock	462
9	Genomic Variation among Contemporary Pseudomonas aeruginosa Isolates from Chronically Infected Cystic Fibrosis Patients 2012 ·Journal of Bacteriology ·(unknown), Jennifer Becq, Louise Fraser, Ole Schulz-Trieglaff, Nicholas J. Bond, J. Foweraker, Kenneth D. Bruce, Geoffrey Smith, Martin Welch	69
10	Efficient de novo assembly of single-cell bacterial genomes from short-read data sets 2011 ·Nature Biotechnology ·Hamidreza Chitsaz, Joyclyn Yee-Greenbaum, Glenn Tesler, Mary‐Jane Lombardo, Christopher L. Dupont, Jonathan H. Badger, Mark Novotny, Douglas B. Rusch, Louise Fraser, Niall Gormley, Ole Schulz-Trieglaff, Geoffrey Smith, (unknown), Pavel A. Pevzner, Roger S. Lasken	165
11	Statistical quality assessment and outlier detection for liquid chromatography-mass spectrometry experiments 2009 ·BioData Mining ·Ole Schulz-Trieglaff, Egidijus Machtejevas, Knut Reinert, Hartmut Schlüter, Joachim Thiemann, Klaus K. Unger	21
12	LC-MSsim – a simulation software for liquid chromatography mass spectrometry data 2008 ·BMC Bioinformatics ·Ole Schulz-Trieglaff, Nico Pfeifer, Clemens Gröpl, Oliver Kohlbacher, Knut Reinert	41
13	OpenMS – An open-source software framework for mass spectrometry breakdown → 2008 ·BMC Bioinformatics ·Marc Sturm, Andreas Bertsch, Clemens Gröpl, Andreas Hildebrandt, René Hussong, Eva Lange, Nico Pfeifer, Ole Schulz-Trieglaff, Alexandra Zerck, Knut Reinert, Oliver Kohlbacher	500
14	Computational Quantification of Peptides from LC-MS Data 2008 ·Journal of Computational Biology ·Ole Schulz-Trieglaff, René Hussong, Clemens Gröpl, Andreas Leinenbach, Andreas Hildebrandt, Christian G. Huber, Knut Reinert	10
15	TOPP—the OpenMS proteomics pipeline 2007 ·Bioinformatics ·Oliver Kohlbacher, Knut Reinert, Clemens Gröpl, Eva Lange, Nico Pfeifer, Ole Schulz-Trieglaff, Marc Sturm	217
16	A geometric approach for the alignment of liquid chromatography—mass spectrometry data 2007 ·Bioinformatics ·Eva Lange, Clemens Gröpl, Ole Schulz-Trieglaff, Andreas Leinenbach, Christian G. Huber, Knut Reinert	75
17	OpenMS - A Framework for Quantitative HPLC/MS-Based Proteomics 2006 ·DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) ·Knut Reinert, Oliver Kohlbacher, Clemens Gröpl, Eva Lange, Ole Schulz-Trieglaff, Marc Sturm, Nico Pfeifer	1
18	Stochastic Petri Nets in Systems Biology 2005 ·BMC Bioinformatics ·Ole Schulz-Trieglaff	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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