Jonas Warringer

7.1k total citations
78 papers, 3.5k citations indexed

About

Jonas Warringer is a scholar working on Molecular Biology, Genetics and Food Science. According to data from OpenAlex, Jonas Warringer has authored 78 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Molecular Biology, 27 papers in Genetics and 20 papers in Food Science. Recurrent topics in Jonas Warringer's work include Fungal and yeast genetics research (43 papers), Fermentation and Sensory Analysis (19 papers) and Genetic Mapping and Diversity in Plants and Animals (11 papers). Jonas Warringer is often cited by papers focused on Fungal and yeast genetics research (43 papers), Fermentation and Sensory Analysis (19 papers) and Genetic Mapping and Diversity in Plants and Animals (11 papers). Jonas Warringer collaborates with scholars based in Sweden, France and Norway. Jonas Warringer's co-authors include Anders Blomberg, Gianni Liti, Edward J. Louis, Leopold Parts, Richard Durbin, Francisco A. Cubillos, Stig W. Omholt, Amin Zia, Olle Nerman and Ville Mustonen and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Jonas Warringer

75 papers receiving 3.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonas Warringer Sweden 33 2.7k 1.1k 845 763 276 78 3.5k
Serge Casarégola France 32 2.2k 0.8× 1.5k 1.4× 868 1.0× 407 0.5× 289 1.0× 85 3.2k
Karin Voordeckers Belgium 24 1.6k 0.6× 845 0.8× 604 0.7× 300 0.4× 302 1.1× 42 2.2k
Gianni Liti France 39 3.6k 1.3× 2.1k 1.9× 1.7k 2.1× 1.1k 1.5× 335 1.2× 104 4.6k
Zdena Palková Czechia 31 2.0k 0.7× 516 0.5× 563 0.7× 366 0.5× 290 1.1× 88 2.8k
Daniela Delneri United Kingdom 29 1.9k 0.7× 632 0.6× 617 0.7× 299 0.4× 231 0.8× 76 2.4k
Jing Hou China 25 962 0.4× 222 0.2× 571 0.7× 339 0.4× 109 0.4× 64 1.6k
Dawn Thompson United States 22 2.1k 0.8× 179 0.2× 389 0.5× 318 0.4× 163 0.6× 37 2.9k
Libuše Váchová Czechia 24 1.3k 0.5× 332 0.3× 319 0.4× 202 0.3× 206 0.7× 71 1.8k
Fei He China 28 1.5k 0.6× 309 0.3× 1.3k 1.5× 376 0.5× 114 0.4× 90 2.6k
H. Yde Steensma Netherlands 41 5.1k 1.9× 1.0k 0.9× 1.0k 1.2× 252 0.3× 1.1k 4.0× 104 5.7k

Countries citing papers authored by Jonas Warringer

Since Specialization
Citations

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

Fields of papers citing papers by Jonas Warringer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonas Warringer

This figure shows the co-authorship network connecting the top 25 collaborators of Jonas Warringer. A scholar is included among the top collaborators of Jonas Warringer 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 Jonas Warringer. Jonas Warringer 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.
Ghiaci, Payam, Paula Jouhten, Jennifer Vázquez, et al.. (2024). Highly parallelized laboratory evolution of wine yeasts for enhanced metabolic phenotypes. Molecular Systems Biology. 20(10). 1109–1133. 4 indexed citations
2.
Chiara, Matteo De, Lorenzo Tattini, Е. С. Наумова, et al.. (2024). Ancient and recent origins of shared polymorphisms in yeast. Nature Ecology & Evolution. 8(4). 761–776. 8 indexed citations
3.
Persson, Karl, et al.. (2024). Lactose-assimilating yeasts with high fatty acid accumulation uncovered by untargeted bioprospecting. Applied and Environmental Microbiology. 91(1). e0161524–e0161524.
4.
Gamfeldt, Lars, James G. Hagan, Anne Farewell, et al.. (2023). Scaling‐up the biodiversity–ecosystem functioning relationship: the effect of environmental heterogeneity on transgressive overyielding. Oikos. 2023(3). 5 indexed citations
5.
Persson, Karl, Simon Stenberg, Markus J. Tamás, & Jonas Warringer. (2022). Adaptation of the yeast gene knockout collection is near-perfectly predicted by fitness and diminishing return epistasis. G3 Genes Genomes Genetics. 12(11). 8 indexed citations
6.
Jouhten, Paula, Dimitrios Konstantinidis, Filipa Pereira, et al.. (2022). Predictive evolution of metabolic phenotypes using model‐designed environments. Molecular Systems Biology. 18(10). e10980–e10980. 13 indexed citations
7.
Chiara, Matteo De, Benjamin Barré, Karl Persson, et al.. (2022). Domestication reprogrammed the budding yeast life cycle. Nature Ecology & Evolution. 6(4). 448–460. 44 indexed citations
8.
Herzog, Mareike, Israel Salguero, Jonas Warringer, et al.. (2021). Mutagenic mechanisms of cancer-associated DNA polymerase ϵ alleles. Nucleic Acids Research. 49(7). 3919–3931. 13 indexed citations
9.
Murphy, Robert, Martin Palm, Ville Mustonen, et al.. (2021). Genomic Epidemiology and Evolution of Escherichia coli in Wild Animals in Mexico. mSphere. 6(1). 19 indexed citations
10.
Palm, Martin, Ville Mustonen, Anne Farewell, et al.. (2021). Machine Learning Prediction of Resistance to Subinhibitory Antimicrobial Concentrations from Escherichia coli Genomes. mSystems. 6(4). e0034621–e0034621. 9 indexed citations
11.
Barré, Benjamin, Johan Hallin, Jia‐Xing Yue, et al.. (2020). Intragenic repeat expansion in the cell wall protein gene HPF1 controls yeast chronological aging. Genome Research. 30(5). 697–710. 22 indexed citations
12.
Graf, Fabrice E., Martin Palm, Jonas Boström, et al.. (2020). A High-Throughput Method for Screening for Genes Controlling Bacterial Conjugation of Antibiotic Resistance. mSystems. 5(6). 20 indexed citations
13.
Moradigaravand, Danesh, Martin Palm, Anne Farewell, et al.. (2018). Prediction of antibiotic resistance in Escherichia coli from large-scale pan-genome data. PLoS Computational Biology. 14(12). e1006258–e1006258. 137 indexed citations
14.
Graf, Fabrice E., Martin Palm, Jonas Warringer, & Anne Farewell. (2018). Inhibiting conjugation as a tool in the fight against antibiotic resistance. Drug Development Research. 80(1). 19–23. 53 indexed citations
15.
Hallin, Johan, Peter Dahl, Simon Stenberg, et al.. (2016). Scan-o-matic: High-Resolution Microbial Phenomics at a Massive Scale. G3 Genes Genomes Genetics. 6(9). 3003–3014. 51 indexed citations
16.
Kourtchenko, Olga, et al.. (2016). PRECOG: a tool for automated extraction and visualization of fitness components in microbial growth phenomics. BMC Bioinformatics. 17(1). 249–249. 43 indexed citations
17.
García‐Martínez, José, Guillermo Ayala, Vicent Pelechano, et al.. (2015). The cellular growth rate controls overall mRNA turnover, and modulates either transcription or degradation rates of particular gene regulons. Nucleic Acids Research. 44(8). 3643–3658. 38 indexed citations
18.
Forsmark, Annabelle, et al.. (2011). Quantitative Proteomics of Yeast Post‐Golgi Vesicles Reveals a Discriminating Role for Sro7p in Protein Secretion. Traffic. 12(6). 740–753. 15 indexed citations
19.
Mehmood, Tahir, Harald Martens, Solve Sæbø, Jonas Warringer, & Lars Snipen. (2011). A Partial Least Squares based algorithm for parsimonious variable selection. Algorithms for Molecular Biology. 6(1). 27–27. 69 indexed citations
20.
Warringer, Jonas, Malin Hult, Sergi Regot, Francesc Posas, & Per Sunnerhagen. (2010). The HOG Pathway Dictates the Short-Term Translational Response after Hyperosmotic Shock. Molecular Biology of the Cell. 21(17). 3080–3092. 62 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.

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