Jürgen Lassak

2.4k total citations
37 papers, 1.7k citations indexed

About

Jürgen Lassak is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Jürgen Lassak has authored 37 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 18 papers in Genetics and 8 papers in Ecology. Recurrent topics in Jürgen Lassak's work include RNA and protein synthesis mechanisms (19 papers), Bacterial Genetics and Biotechnology (17 papers) and RNA modifications and cancer (10 papers). Jürgen Lassak is often cited by papers focused on RNA and protein synthesis mechanisms (19 papers), Bacterial Genetics and Biotechnology (17 papers) and RNA modifications and cancer (10 papers). Jürgen Lassak collaborates with scholars based in Germany, United Kingdom and United States. Jürgen Lassak's co-authors include Kirsten Jung, Daniel N. Wilson, Agata L. Starosta, Kai M. Thormann, Julia Gödeke, Tanel Tenson, Gemma C. Atkinson, Jaanus Rèmme, Kai Virumäe and Lauri Peil and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Jürgen Lassak

36 papers receiving 1.7k citations

Peers

Countries citing papers authored by Jürgen Lassak

Since Specialization

Citations

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

Fields of papers citing papers by Jürgen Lassak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jürgen Lassak

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	EF-P and its paralog EfpL (YeiP) differentially control translation of proline-containing sequences 2024 ·Nature Communications ·(unknown), (unknown), (unknown), Karthikeyan Dhamotharan, Pavel Kielkowski, Tess E. Brewer, (unknown), (unknown), Fei Qi, Andreas Schlundt, Dmitrij Frishman, Jürgen Lassak	1
2	Non-canonical food sources: bacterial metabolism of Maillard reaction products and its regulation 2023 ·Current Opinion in Microbiology ·Jürgen Lassak, (unknown), (unknown), Michael Hellwig	3
3	Transcriptional regulation of the N _ε ‐fructoselysine metabolism in Escherichia coli by global and substrate‐specific cues 2020 ·Molecular Microbiology ·(unknown), (unknown), (unknown), Michael Hellwig, Pravin Kumar Ankush Jagtap, Ralf Heermann, Janosch Hennig, Thomas Henle, Jürgen Lassak	12
4	A β-hairpin epitope as novel structural requirement for protein arginine rhamnosylation 2020 ·Chemical Science ·(unknown), Thomas M. Wood, Johan Kemmink, (unknown), (unknown), Jürgen Lassak, Nathaniel I. Martin, Marthe T. C. Walvoort	4
5	A set of rhamnosylation-specific antibodies enables detection of novel protein glycosylations in bacteria 2020 ·Organic & Biomolecular Chemistry ·(unknown), (unknown), (unknown), (unknown), (unknown), Jürgen Lassak, Anja Hoffmann‐Röder	8
6	Switching the Post-translational Modification of Translation Elongation Factor EF-P 2019 ·Frontiers in Microbiology ·(unknown), (unknown), Pravin Kumar Ankush Jagtap, (unknown), (unknown), (unknown), (unknown), Maximilian J. L. J. Fürst, (unknown), Dmitrij Frishman, Janosch Hennig, Kirsten Jung, Jürgen Lassak	17
7	Bacterial transmembrane signalling systems and their engineering for biosensing 2018 ·Open Biology ·Kirsten Jung, (unknown), (unknown), Jürgen Lassak	38
8	Structural Basis for EarP-Mediated Arginine Glycosylation of Translation Elongation Factor EF-P 2017 ·mBio ·(unknown), (unknown), Pravin Kumar Ankush Jagtap, (unknown), (unknown), Prithiba Mitra, Amit Kumar Jha, Jürgen Rohr, Anja Hoffmann‐Röder, Kirsten Jung, Janosch Hennig, Jürgen Lassak	29
9	Structure-function analysis of the DNA-binding domain of a transmembrane transcriptional activator 2017 ·Scientific Reports ·Andreas Schlundt, (unknown), Robert Janowski, (unknown), Ralf Heermann, Jürgen Lassak, Arie Geerlof, Ralf Stehle, Dierk Niessing, Kirsten Jung, Michael Sattler	31
10	Identification and Initial Characterization of Prophages in Vibrio campbellii 2016 ·PLoS ONE ·(unknown), Matthias Reiger, Mauricio Toro‐Nahuelpan, Andreas Brachmann, (unknown), Laure Plener, Jürgen Lassak, Kirsten Jung	22
11	Arginine-rhamnosylation as new strategy to activate translation elongation factor P 2015 ·Nature Chemical Biology ·Jürgen Lassak, Eva C. Keilhauer, Maximilian J. L. J. Fürst, Kristin Wuichet, Julia Gödeke, Agata L. Starosta, (unknown), Lotte Søgaard‐Andersen, Jürgen Rohr, Daniel N. Wilson, Susanne Häußler, Matthias Mann, Kirsten Jung	96
12	Structural and Functional Analysis of the Signal-Transducing Linker in the pH-Responsive One-Component System CadC of Escherichia coli 2015 ·Journal of Molecular Biology ·(unknown), Andreas Schlundt, Jürgen Lassak, Michael Sattler, Kirsten Jung	26
13	Translational stalling at polyproline stretches is modulated by the sequence context upstream of the stall site 2014 ·Nucleic Acids Research ·Agata L. Starosta, Jürgen Lassak, Lauri Peil, Gemma C. Atkinson, Kai Virumäe, Tanel Tenson, Jaanus Rèmme, Kirsten Jung, Daniel N. Wilson	79
14	A Conserved Proline Triplet in Val-tRNA Synthetase and the Origin of Elongation Factor P 2014 ·Cell Reports ·Agata L. Starosta, Jürgen Lassak, Lauri Peil, Gemma C. Atkinson, Christopher J. Woolstenhulme, Kai Virumäe, Allen R. Buskirk, Tanel Tenson, Jaanus Rèmme, Kirsten Jung, Daniel N. Wilson	34
15	The bacterial translation stress response 2014 ·FEMS Microbiology Reviews ·Agata L. Starosta, Jürgen Lassak, Kirsten Jung, Daniel N. Wilson	154
16	Translation Elongation Factor EF-P Alleviates Ribosome Stalling at Polyproline Stretches 2012 ·Science ·(unknown), Jürgen Lassak, Agata L. Starosta, (unknown), Daniel N. Wilson, Kirsten Jung	357
17	Domain Analysis of ArcS, the Hybrid Sensor Kinase of the Shewanella oneidensis MR-1 Arc Two-Component System, Reveals Functional Differentiation of Its Two Receiver Domains 2012 ·Journal of Bacteriology ·Jürgen Lassak, (unknown), Kai M. Thormann	17
18	A comprehensive toolbox for the rapid construction of lacZ fusion reporters 2012 ·Journal of Microbiological Methods ·(unknown), Jürgen Lassak, Kirsten Jung	24
19	Analysis of the BarA/UvrY Two-Component System in Shewanella oneidensis MR-1 2011 ·PLoS ONE ·(unknown), Jürgen Lassak, Kai M. Thormann	18
20	Two different stator systems drive a single polar flagellum in Shewanella oneidensis MR‐1 2008 ·Molecular Microbiology ·Anja Paulick, Andrea Koerdt, Jürgen Lassak, Stuart Huntley, (unknown), Franz Narberhaus, Kai M. Thormann	111

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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