Lars Barquist
Impact in
- Endocrinology top 0.5%
- Vibrio bacteria research studies
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
Papers in
-
- RNA and protein synthesis mechanisms 28
- Genomics and Phylogenetic Studies 26
- RNA modifications and cancer 8
- CRISPR and Genetic Engineering 8
- Genetics 29
- Bacterial Genetics and Biotechnology 27
- Co-authors
- Jörg Vogel (30 shared papers)Alexander J. Westermann (12 shared papers)Paul P. Gardner (11 shared papers)Amy K. Cain (11 shared papers)Julian Parkhill (14 shared papers)Alex Bateman (3 shared papers)Christine J. Boinett (7 shared papers)Eric P. Nawrocki (2 shared papers)
- Journals
- Nucleic Acids Research (11 papers)Nature Communications (7 papers)mBio (5 papers)RNA (4 papers)mSystems (4 papers)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Lars Barquist
80 papers receiving 4.6k citations
Lars Barquist's Hit Papers
Peers
Comparison fields: 5 of 129
- Endocrinology 594
- Molecular Medicine 352
- Microbiology 320
- Molecular Biology 2.7k
- Ecology 1.0k
Countries citing papers authored by Lars Barquist
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
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-authors
The 25 scholars most cited alongside Lars Barquist, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Rfam 11.0: 10 years of RNA families Hit paper breakdown → | 2012 | 639 |
| 2 | Dual RNA-seq unveils noncoding RNA functions in host–pathogen interactions Hit paper breakdown → | 2016 | 391 |
| 3 | A decade of advances in transposon-insertion sequencing Hit paper breakdown → | 2020 | 265 |
| 4 | 2016 | 236 | |
| 5 | 2017 | 219 | |
| 6 | 2014 | 179 | |
| 7 | 2020 | 154 | |
| 8 | 2016 | 152 | |
| 9 | 2015 | 127 | |
| 10 | 2013 | 123 | |
| 11 | 2021 | 115 | |
| 12 | 2018 | 109 | |
| 13 | 2015 | 104 | |
| 14 | 2014 | 102 | |
| 15 | 2015 | 96 | |
| 16 | 2017 | 95 | |
| 17 | 2013 | 93 | |
| 18 | 2013 | 92 | |
| 19 | 2012 | 79 | |
| 20 | 2018 | 69 |
About Lars Barquist
Lars Barquist is a scholar working on Molecular Biology, Genetics, Ecology, Food Science and Endocrinology, having authored 87 papers that have together received 4.6k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (28 papers), Bacterial Genetics and Biotechnology (27 papers), Genomics and Phylogenetic Studies (26 papers), Bacteriophages and microbial interactions (24 papers), Salmonella and Campylobacter epidemiology (12 papers), RNA modifications and cancer (8 papers), CRISPR and Genetic Engineering (8 papers) and Vibrio bacteria research studies (7 papers). The work is most often cited by research in Endocrinology (594 citations), Molecular Medicine (352 citations), Microbiology (320 citations), Molecular Biology (2.7k citations) and Ecology (1.0k citations). Lars Barquist has collaborated with scholars based in Germany, United Kingdom and United States. Frequent 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 Sean R. Eddy. Their work appears in journals such as Nucleic Acids Research, Nature Communications, mBio, RNA and mSystems.
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.