Lars Barquist

6.9k total citations · 3 hit papers
85 papers, 4.3k citations indexed

About

Lars Barquist is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Lars Barquist has authored 85 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Molecular Biology, 29 papers in Genetics and 26 papers in Ecology. Recurrent topics in Lars Barquist's work include Genomics and Phylogenetic Studies (30 papers), RNA and protein synthesis mechanisms (29 papers) and Bacterial Genetics and Biotechnology (27 papers). Lars Barquist is often cited by papers focused on Genomics and Phylogenetic Studies (30 papers), RNA and protein synthesis mechanisms (29 papers) and Bacterial Genetics and Biotechnology (27 papers). Lars Barquist collaborates with scholars based in Germany, United Kingdom and United States. Lars Barquist's co-authors include Jörg Vogel, Alexander J. Westermann, Paul P. Gardner, Amy K. Cain, Julian Parkhill, Alex Bateman, Christine J. Boinett, Eric P. Nawrocki, Sarah Burge and Ruth Y. Eberhardt and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Lars Barquist

79 papers receiving 4.3k citations

Hit Papers

Rfam 11.0: 10 years of RNA families 2012 2026 2016 2021 2012 2016 2020 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lars Barquist Germany 32 2.7k 1.0k 1.0k 631 620 85 4.3k
Roy R. Chaudhuri United Kingdom 36 1.7k 0.6× 933 0.9× 963 1.0× 847 1.3× 848 1.4× 70 4.0k
Marie‐Adèle Rajandream United Kingdom 7 2.4k 0.9× 1.2k 1.2× 604 0.6× 634 1.0× 574 0.9× 11 4.6k
Bernd Appel Germany 43 3.2k 1.2× 933 0.9× 749 0.7× 1.3k 2.0× 937 1.5× 144 5.7k
James M. Schupp United States 37 2.1k 0.8× 808 0.8× 1.1k 1.1× 695 1.1× 381 0.6× 68 4.3k
Petra Dersch Germany 44 2.6k 0.9× 711 0.7× 2.5k 2.4× 628 1.0× 387 0.6× 125 4.9k
Rasmus L. Marvig Denmark 27 2.4k 0.9× 693 0.7× 922 0.9× 608 1.0× 561 0.9× 61 4.7k
Jonathan Livny United States 37 4.6k 1.7× 1.2k 1.2× 1.3k 1.3× 1.2k 1.9× 253 0.4× 65 6.6k
Wai‐Leung Ng United States 24 2.1k 0.8× 501 0.5× 845 0.8× 380 0.6× 238 0.4× 35 3.5k
Aude Bernheim France 21 2.4k 0.9× 2.1k 2.1× 656 0.6× 286 0.5× 266 0.4× 48 3.8k
Maarten Fauvart Belgium 30 2.2k 0.8× 695 0.7× 1.4k 1.4× 418 0.7× 226 0.4× 81 4.2k

Countries citing papers authored by Lars Barquist

Since Specialization
Citations

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

Fields of papers citing papers by Lars Barquist

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lars Barquist

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

All Works

20 of 20 papers shown
1.
2.
Barquist, Lars, et al.. (2024). A method to correct for local alterations in DNA copy number that bias functional genomics assays applied to antibiotic-treated bacteria. mSystems. 9(4). e0066523–e0066523. 2 indexed citations
3.
Barquist, Lars, et al.. (2024). Network depth affects inference of gene sets from bacterial transcriptomes using denoising autoencoders. Bioinformatics Advances. 4(1). vbae066–vbae066.
4.
Vento, Justin M., Tianyu Li, Constantinos Patinios, et al.. (2024). A cell-free transcription-translation pipeline for recreating methylation patterns boosts DNA transformation in bacteria. Molecular Cell. 84(14). 2785–2796.e4. 10 indexed citations
5.
Ryan, Daniel, et al.. (2024). An expanded transcriptome atlas for Bacteroides thetaiotaomicron reveals a small RNA that modulates tetracycline sensitivity. Nature Microbiology. 9(4). 1130–1144. 8 indexed citations
6.
Langridge, Gemma C., Amy K. Cain, Christine J. Boinett, et al.. (2024). High-throughput transposon mutagenesis in the family Enterobacteriaceae reveals core essential genes and rapid turnover of essentiality. mBio. 15(10). e0179824–e0179824. 7 indexed citations
7.
Imdahl, Fabian, Rituparno Sen, Ehsan Vafadarnejad, et al.. (2023). Vector-borne Trypanosoma brucei parasites develop in artificial human skin and persist as skin tissue forms. Nature Communications. 14(1). 7660–7660. 9 indexed citations
8.
Gelhausen, Rick, et al.. (2023). Ribosome profiling reveals the fine-tuned response of Escherichia coli to mild and severe acid stress. mSystems. 8(6). e0103723–e0103723. 10 indexed citations
9.
Maharjan, Ram P., Felise G. Adams, Jane Hawkey, et al.. (2023). DksA is a conserved master regulator of stress response in Acinetobacter baumannii. Nucleic Acids Research. 51(12). 6101–6119. 14 indexed citations
10.
Barquist, Lars, et al.. (2022). Comprehensive analysis of PNA-based antisense antibiotics targeting various essential genes in uropathogenic Escherichia coli. Nucleic Acids Research. 50(11). 6435–6452. 35 indexed citations
11.
Hör, Jens, et al.. (2022). INRI-seq enables global cell-free analysis of translation initiation and off-target effects of antisense inhibitors. Nucleic Acids Research. 50(22). e128–e128. 4 indexed citations
12.
Barquist, Lars, et al.. (2021). Global identification of RsmA/N binding sites in Pseudomonas aeruginosa by in vivo UV CLIP-seq. RNA Biology. 18(12). 2401–2416. 7 indexed citations
13.
Fuchs, Manuela, Falk Ponath, Joseph A. Kirk, et al.. (2021). An RNA-centric global view of Clostridioides difficile reveals broad activity of Hfq in a clinically important gram-positive bacterium. Proceedings of the National Academy of Sciences. 118(25). 36 indexed citations
14.
Ghany, Moataz Abd El, Lars Barquist, Simon Clare, et al.. (2021). Functional analysis of colonization factor antigen I positive enterotoxigenic Escherichia coli identifies genes implicated in survival in water and host colonization. Microbial Genomics. 7(6). 4 indexed citations
15.
Venturini, Elisa, Sarah L. Svensson, Sandra Maaß, et al.. (2020). A global data-driven census of Salmonella small proteins and their potential functions in bacterial virulence. PubMed. 1(1). uqaa002–uqaa002. 35 indexed citations
16.
Elliott, Alysha G., Johnny X. Huang, Søren Neve, et al.. (2020). An amphipathic peptide with antibiotic activity against multidrug-resistant Gram-negative bacteria. Nature Communications. 11(1). 3184–3184. 142 indexed citations
17.
Nolan, Laura M., Cynthia B. Whitchurch, Lars Barquist, et al.. (2018). A global genomic approach uncovers novel components for twitching motility-mediated biofilm expansion in Pseudomonas aeruginosa. Microbial Genomics. 4(11). 22 indexed citations
18.
Wheeler, Nicole E., Lars Barquist, Robert A. Kingsley, & Paul P. Gardner. (2016). A profile-based method for identifying functional divergence of orthologous genes in bacterial genomes. Bioinformatics. 32(23). 3566–3574. 17 indexed citations
19.
Browne, Hilary P., Lu Yu, Wiep Klaas Smits, et al.. (2014). Functional genomics reveals that Clostridium difficileSpo0A coordinates sporulation, virulence and metabolism. BMC Genomics. 15(1). 160–160. 99 indexed citations
20.
Bradley, Robert K., et al.. (2009). Evolutionary Modeling and Prediction of Non-Coding RNAs in Drosophila. PLoS ONE. 4(8). e6478–e6478. 11 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026