Rainer Breitling

23.8k total citations · 6 hit papers
214 papers, 16.4k citations indexed

About

Rainer Breitling is a scholar working on Molecular Biology, Pharmacology and Genetics. According to data from OpenAlex, Rainer Breitling has authored 214 papers receiving a total of 16.4k indexed citations (citations by other indexed papers that have themselves been cited), including 169 papers in Molecular Biology, 44 papers in Pharmacology and 43 papers in Genetics. Recurrent topics in Rainer Breitling's work include Microbial Metabolic Engineering and Bioproduction (53 papers), Microbial Natural Products and Biosynthesis (44 papers) and Metabolomics and Mass Spectrometry Studies (35 papers). Rainer Breitling is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (53 papers), Microbial Natural Products and Biosynthesis (44 papers) and Metabolomics and Mass Spectrometry Studies (35 papers). Rainer Breitling collaborates with scholars based in United Kingdom, Netherlands and Germany. Rainer Breitling's co-authors include Eriko Takano, Marnix H. Medema, Anna Amtmann, Patrick Armengaud, Tilmann Weber, Kai Blin, Pawel Herzyk, Michael A. Fischbach, Michael P. Barrett and Andris Jankevics and has published in prestigious journals such as Nucleic Acids Research, Nature Genetics and SHILAP Revista de lepidopterología.

In The Last Decade

Rainer Breitling

209 papers receiving 16.1k citations

Hit Papers

5 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.

antiSMASH 3.0—a comprehensive resource for the genome mining of biosynthetic gene clusters

2015 1.5k citations Tilmann Weber, Kai Blin et al. Nucleic Acids Research profile →
antiSMASH: rapid identification, annotation and analysis of secondary metabolite biosynthesis gene clusters in bacterial and fungal genome sequences

2011 1.5k citations Marnix H. Medema, Kai Blin et al. Nucleic Acids Research profile →
Rank products: a simple, yet powerful, new method to detect differentially regulated genes in replicated microarray experiments

2004 1.2k citations Rainer Breitling et al. profile →
antiSMASH 4.0—improvements in chemistry prediction and gene cluster boundary identification

2017 920 citations Kai Blin, Rainer Breitling et al. Nucleic Acids Research profile →
antiSMASH 2.0—a versatile platform for genome mining of secondary metabolite producers

2013 645 citations Kai Blin, Marnix H. Medema et al. Nucleic Acids Research profile →
RankProd: a bioconductor package for detecting differentially expressed genes in meta-analysis

2006 568 citations Rainer Breitling et al. Bioinformatics profile →

Peers

Countries citing papers authored by Rainer Breitling

Since Specialization

Citations

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

Fields of papers citing papers by Rainer Breitling

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rainer Breitling

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Carboxylic acid reductase-dependent biosynthesis of eugenol and related allylphenols 2023 ·Microbial Cell Factories ·Erik K. R. Hanko, Kris Niño G. Valdehuesa, (unknown), (unknown), (unknown), (unknown), Cunyu Yan, Johannes A. Roubos, Joep Schmitz, Rainer Breitling	8
2	TFBMiner: A User-Friendly Command Line Tool for the Rapid Mining of Transcription Factor-Based Biosensors 2023 ·ACS Synthetic Biology ·Erik K. R. Hanko, (unknown), (unknown), Rainer Breitling	13
3	Blood, sweat, and tears: extraterrestrial regolith biocomposites with in vivo binders 2021 ·Materials Today Bio ·Aled D. Roberts, (unknown), Rainer Breitling, Eriko Takano, Jonny J. Blaker, Sam Hay, Nigel S. Scrutton	32
4	Engineering Escherichia coli towards de novo production of gatekeeper (2S)-flavanones: naringenin, pinocembrin, eriodictyol and homoeriodictyol 2020 ·PubMed ·Mark S. Dunstan, Christopher Robinson, Adrian J. Jervis, Cunyu Yan, Pablo Carbonell, Katherine A. Hollywood, Andrew Currin, Neil Swainston, Rosalind Le Feuvre, Jason Micklefield, Jean‐Loup Faulon, Rainer Breitling, Nicholas J. Turner, Eriko Takano, Nigel S. Scrutton	54
5	Unravelling the γ-butyrolactone network in Streptomyces coelicolor by computational ensemble modelling 2020 ·PLoS Computational Biology ·(unknown), Eriko Takano, Rainer Breitling	6
6	Host Systems for the Production of Recombinant Spider Silk 2020 ·Trends in biotechnology ·(unknown), (unknown), Rainer Breitling, Eriko Takano	62
7	Non-covalent protein-based adhesives for transparent substrates—bovine serum albumin vs. recombinant spider silk 2020 ·Materials Today Bio ·Aled D. Roberts, William Finnigan, Paul P. Kelly, Matthew Faulkner, Rainer Breitling, Eriko Takano, Nigel S. Scrutton, Jonny J. Blaker, Sam Hay	28
8	Highly multiplexed, fast and accurate nanopore sequencing for verification of synthetic DNA constructs and sequence libraries 2019 ·PubMed ·Andrew Currin, Neil Swainston, Mark S. Dunstan, Adrian J. Jervis, (unknown), Christopher Robinson, Sandra Taylor, Pablo Carbonell, Katherine A. Hollywood, Cunyu Yan, Eriko Takano, Nigel S. Scrutton, Rainer Breitling	34
9	Integrated Probabilistic Annotation: A Bayesian-Based Annotation Method for Metabolomic Profiles Integrating Biochemical Connections, Isotope Patterns, and Adduct Relationships 2019 ·Analytical Chemistry ·Francesco Del Carratore, (unknown), María Vinaixa, Katherine A. Hollywood, (unknown), Eriko Takano, Simon Rogers, Rainer Breitling	13
10	SelProm: A Queryable and Predictive Expression Vector Selection Tool for Escherichia coli 2019 ·ACS Synthetic Biology ·Adrian J. Jervis, Pablo Carbonell, Sandra Taylor, Rehana Sung, Mark S. Dunstan, Christopher Robinson, Rainer Breitling, Eriko Takano, Nigel S. Scrutton	37
11	Selenzyme: enzyme selection tool for pathway design 2018 ·Bioinformatics ·Pablo Carbonell, Jerry Wong, Neil Swainston, Eriko Takano, Nicholas J. Turner, Nigel S. Scrutton, Douglas B. Kell, Rainer Breitling, Jean‐Loup Faulon	69
12	Rational cell culture optimization enhances experimental reproducibility in cancer cells 2018 ·Scientific Reports ·Marina Wright Muelas, Fernando Ortega, Rainer Breitling, Claus Bendtsen, Hans V. Westerhoff	143
13	Translation Stress Positively Regulates MscL-Dependent Excretion of Cytoplasmic Proteins 2018 ·mBio ·Rosa Morra, Francesco Del Carratore, Howbeer Muhamadali, (unknown), (unknown), Royston Goodacre, Rainer Breitling, Neil Dixon	17
14	The “Three Cs” of Novel Antibiotic Discovery and Production through Synthetic Biology: Biosynthetic Gene Clusters, Heterologous Chassis, and Synthetic Microbial Consortia 2018 ·Advanced Biosystems ·(unknown), Eriko Takano, Rainer Breitling	3
15	Mobilising ion mobility mass spectrometry for metabolomics 2018 ·The Analyst ·Eleanor Sinclair, Katherine A. Hollywood, Cunyu Yan, Richard T. Blankley, Rainer Breitling, Perdita E. Barran	30
16	reGenotyper: Detecting mislabeled samples in genetic data 2017 ·PLoS ONE ·Konrad Zych, Basten L. Snoek, Mark Elvin, Míriam Antón‐Rodríguez, K. Joeri van der Velde, Danny Arends, Harm-Jan Westra, Morris A. Swertz, Gino Poulin, Jan E. Kammenga, Rainer Breitling, Ritsert C. Jansen, Yang Li	11
17	Explicit consideration of topological and parameter uncertainty gives new insights into a well‐established model of glycolysis 2013 ·FEBS Journal ·Fiona Achcar, Michael P. Barrett, Rainer Breitling	13
18	Handling Uncertainty in Dynamic Models: The Pentose Phosphate Pathway in Trypanosoma brucei 2013 ·PLoS Computational Biology ·Eduard J. Kerkhoven, Fiona Achcar, Vincent Pius Alibu, Richard Burchmore, Ian H. Gilbert, (unknown), Nicole N. Driessen, David Gilbert, Rainer Breitling, Barbara M. Bakker, Michael P. Barrett	38
19	antiSMASH: rapid identification, annotation and analysis of secondary metabolite biosynthesis gene clusters in bacterial and fungal genome sequences breakdown → 2011 ·Nucleic Acids Research ·Marnix H. Medema, Kai Blin, Peter Cimermančič, Victor de Jager, (unknown), Michael A. Fischbach, Tilmann Weber, Eriko Takano, Rainer Breitling	1481
20	The Sequence of a 1.8-Mb Bacterial Linear Plasmid Reveals a Rich Evolutionary Reservoir of Secondary Metabolic Pathways 2010 ·Genome Biology and Evolution ·Marnix H. Medema, Axel Trefzer, Andriy Kovalchuk, Marco van den Berg, Ulrike Müller, Wilbert H. M. Heijne, Liang Wu, Mohammad Tauqeer Alam, Catherine M. Ronning, William C. Nierman, Roel A. L. Bovenberg, Rainer Breitling, Eriko Takano	150

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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