Bas Teusink

14.3k total citations · 3 hit papers
167 papers, 9.0k citations indexed

About

Bas Teusink is a scholar working on Molecular Biology, Food Science and Genetics. According to data from OpenAlex, Bas Teusink has authored 167 papers receiving a total of 9.0k indexed citations (citations by other indexed papers that have themselves been cited), including 153 papers in Molecular Biology, 39 papers in Food Science and 29 papers in Genetics. Recurrent topics in Bas Teusink's work include Microbial Metabolic Engineering and Bioproduction (103 papers), Gene Regulatory Network Analysis (46 papers) and Probiotics and Fermented Foods (29 papers). Bas Teusink is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (103 papers), Gene Regulatory Network Analysis (46 papers) and Probiotics and Fermented Foods (29 papers). Bas Teusink collaborates with scholars based in Netherlands, United States and Germany. Bas Teusink's co-authors include Douwe Molenaar, Hans V. Westerhoff, K. Van Dam, Frank J. Bruggeman, Michael C. Walsh, Eddy J. Smid, Roland J. Siezen, Brett G. Olivier, Herwig Bachmann and Willem M. de Vos and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Bas Teusink

163 papers receiving 8.8k citations

Hit Papers

align trajectories sort by overperformance

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.

A functional genomics strategy that uses metabolome data to reveal the phenotype of silent mutations

2001 769 citations Bas Teusink et al. profile →
Can yeast glycolysis be understood in terms of in vitro kinetics of the constituent enzymes? Testing biochemistry

2000 520 citations Bas Teusink, Barbara M. Bakker et al. profile →
Metabolic cooperation and spatiotemporal niche partitioning in a kefir microbial community

2021 209 citations Bas Teusink, Jens Nielsen et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Bas Teusink	7.1k	1.7k	1.5k	1.1k	638	167	9.0k
Ines Thiele	13.9k 2.0×	994 0.6×	3.3k 2.2×	1.2k 1.1×	639 1.0×	125	16.2k
Kiran Raosaheb Patil	6.3k 0.9×	890 0.5×	1.5k 1.0×	503 0.5×	212 0.3×	99	8.1k
Masanori Arita	6.7k 1.0×	893 0.5×	864 0.6×	414 0.4×	462 0.7×	154	9.3k
Eiichiro Fukusaki	7.2k 1.0×	1.6k 0.9×	1.6k 1.1×	318 0.3×	631 1.0×	414	11.8k
Ian W. Dawes	7.5k 1.1×	912 0.6×	627 0.4×	497 0.5×	547 0.9×	187	9.8k
Markus Krummenacker	7.6k 1.1×	442 0.3×	1.5k 1.0×	965 0.9×	247 0.4×	41	9.5k
Suzanne Paley	6.8k 1.0×	458 0.3×	1.0k 0.7×	861 0.8×	249 0.4×	60	8.8k
Olivier Cloarec	5.6k 0.8×	502 0.3×	761 0.5×	378 0.4×	350 0.5×	50	7.6k
Richard Billington	4.9k 0.7×	468 0.3×	679 0.4×	544 0.5×	228 0.4×	88	8.2k
Ingrid M. Keseler	5.9k 0.8×	394 0.2×	896 0.6×	1.0k 1.0×	242 0.4×	28	7.6k

Countries citing papers authored by Bas Teusink

Since Specialization

Citations

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

Fields of papers citing papers by Bas Teusink

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bas Teusink

This figure shows the co-authorship network connecting the top 25 collaborators of Bas Teusink. A scholar is included among the top collaborators of Bas Teusink 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 Bas Teusink. Bas Teusink 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

Teusink, Bas, et al.. (2025). MINN: A metabolic-informed neural network for integrating omics data into genome-scale metabolic modeling. Computational and Structural Biotechnology Journal. 27. 3609–3617. 1 indexed citations

Schmitz, Marion, Bas Teusink, Barbara M. Bakker, et al.. (2024). The unusual kinetics of lactate dehydrogenase of Schistosoma mansoni and their role in the rapid metabolic switch after penetration of the mammalian host. International Journal for Parasitology. 54(7). 367–378.

Bruggeman, Frank J., Bas Teusink, & Ralf Steuer. (2023). Trade‐offs between the instantaneous growth rate and long‐term fitness: Consequences for microbial physiology and predictive computational models. BioEssays. 45(10). e2300015–e2300015. 13 indexed citations

Battjes, J.A., Chrats Melkonian, Sebastián N. Mendoza, et al.. (2022). Ethanol-lactate transition of Lachancea thermotolerans is linked to nitrogen metabolism. Food Microbiology. 110. 104167–104167. 21 indexed citations

Elsemman, Ibrahim E., Pranas Grigaitis, Manuel Garcia‐Albornoz, et al.. (2022). Whole-cell modeling in yeast predicts compartment-specific proteome constraints that drive metabolic strategies. Nature Communications. 13(1). 801–801. 57 indexed citations

Gottstein, Willi, et al.. (2021). Selection for Cell Yield Does Not Reduce Overflow Metabolism in Escherichia coli. Molecular Biology and Evolution. 39(1). 9 indexed citations

Chen, Yu, Sjef Boeren, Herwig Bachmann, et al.. (2021). Proteome constraints reveal targets for improving microbial fitness in nutrient‐rich environments. Molecular Systems Biology. 17(4). e10093–e10093. 33 indexed citations

Groot, Daan H. de, et al.. (2021). Understanding FBA Solutions under Multiple Nutrient Limitations. Metabolites. 11(5). 257–257. 4 indexed citations

Somerville, Vincent, et al.. (2021). Use and limitations of genome-scale metabolic models in food microbiology. Current Opinion in Food Science. 43. 225–231. 15 indexed citations

10.

Rijavec, Tomaž, Aleš Lapanje, Iris van Swam, et al.. (2020). Microbial competition reduces metabolic interaction distances to the low µm-range. The ISME Journal. 15(3). 688–701. 32 indexed citations

11.

Garcia‐Albornoz, Manuel, Stephen W. Holman, Pascale Daran‐Lapujade, et al.. (2019). A proteome-integrated, carbon source dependent genetic regulatory network in Saccharomyces cerevisiae. Molecular Omics. 16(1). 59–72. 7 indexed citations

12.

Eckhardt, Thomas, Anne de Jong, Filipe Branco dos Santos, et al.. (2015). Protein costs do not explain evolution of metabolic strategies and regulation of ribosomal content: does protein investment explain an anaerobic bacterial C rabtree effect?. Molecular Microbiology. 97(1). 77–92. 49 indexed citations

13.

Kort, Remco, Nieke Westerik, Lenard Serrano, et al.. (2015). A novel consortium of Lactobacillus rhamnosus and Streptococcus thermophilus for increased access to functional fermented foods. Microbial Cell Factories. 14(1). 195–195. 63 indexed citations

14.

Solopova, Ana, Jordi van Gestel, Franz J. Weissing, et al.. (2014). Bet-hedging during bacterial diauxic shift. Proceedings of the National Academy of Sciences. 111(20). 7427–7432. 183 indexed citations

15.

Hendrickx, Diana M., Huub C. J. Hoefsloot, Margriet M. W. B. Hendriks, et al.. (2014). MetDFBA: incorporating time-resolved metabolomics measurements into dynamic flux balance analysis. Molecular BioSystems. 11(1). 137–145. 28 indexed citations

16.

Hendrickx, Diana M., Huub C. J. Hoefsloot, Margriet M. W. B. Hendriks, et al.. (2012). Inferring differences in the distribution of reaction rates across conditions. Molecular BioSystems. 8(9). 2415–2423.

17.

Saulnier, Delphine, Filipe Duarte Santos, Stefan Roos, et al.. (2011). Exploring Metabolic Pathway Reconstruction and Genome-Wide Expression Profiling in Lactobacillus reuteri to Define Functional Probiotic Features. PLoS ONE. 6(4). e18783–e18783. 146 indexed citations

18.

Santos, Filipe Branco dos, et al.. (2010). Characterization of cellular composition of evolved strains of Lactococcus lactis. FEBS Journal. 277. 114–114. 1 indexed citations

19.

Goudriaan, Jeltje R., Vivian E.H. Dahlmans, Bas Teusink, et al.. (2003). CD36 deficiency increases insulin sensitivity in muscle, but induces insulin resistance in the liver in mice. Journal of Lipid Research. 44(12). 2270–2277. 147 indexed citations

20.

Teusink, Bas. (1999). Exposing a complex metabolic system: glycolysis in Saccharomyces cerevisiae. Microsurgery. 10(4). 302–9. 14 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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