Uwe Sauer

36.7k total citations · 10 hit papers
265 papers, 24.4k citations indexed

About

Uwe Sauer is a scholar working on Molecular Biology, Genetics and Materials Chemistry. According to data from OpenAlex, Uwe Sauer has authored 265 papers receiving a total of 24.4k indexed citations (citations by other indexed papers that have themselves been cited), including 243 papers in Molecular Biology, 83 papers in Genetics and 34 papers in Materials Chemistry. Recurrent topics in Uwe Sauer's work include Microbial Metabolic Engineering and Bioproduction (150 papers), Bacterial Genetics and Biotechnology (70 papers) and Gene Regulatory Network Analysis (47 papers). Uwe Sauer is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (150 papers), Bacterial Genetics and Biotechnology (70 papers) and Gene Regulatory Network Analysis (47 papers). Uwe Sauer collaborates with scholars based in Switzerland, United States and Germany. Uwe Sauer's co-authors include Nicola Zamboni, Tobias Fuhrer, Eliane Fischer, Lars Kuepfer, Karl Kochanowski, James E. Bailey, Luca Gerosa, Michael Dauner, Robert Schuetz and Mattia Zampieri and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Uwe Sauer

261 papers receiving 24.1k citations

Hit Papers

5 papers align trajectories

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.

The maternal microbiota drives early postnatal innate immune development

2016 860 citations Mercedes Gomez de Agüero, Stephanie C. Ganal‐Vonarburg et al. Science profile →
Robustness of Cellular Functions

2004 788 citations Uwe Sauer et al. profile →
Systematic evaluation of objective functions for predicting intracellular fluxes in Escherichia coli

2007 537 citations Robert Schuetz, Uwe Sauer et al. Molecular Systems Biology profile →
Metabolic networks in motion: ¹³ C‐based flux analysis

2006 504 citations Uwe Sauer Molecular Systems Biology profile →
Coordination of microbial metabolism

2014 408 citations Victor Chubukov, Luca Gerosa et al. profile →
A Map of Protein-Metabolite Interactions Reveals Principles of Chemical Communication

2018 377 citations Karl Kochanowski, Tobias Fuhrer et al. profile →
The outer mucus layer hosts a distinct intestinal microbial niche

2015 363 citations Hai Li, Tobias Fuhrer et al. Nature Communications profile →
Disentangling metabolic functions of bacteria in the honey bee gut

2017 271 citations Ruben A. Mars, Uwe Sauer et al. profile →
Metabolic cooperation and spatiotemporal niche partitioning in a kefir microbial community

2021 209 citations Ruben A. Mars, Eleni Kafkia et al. profile →
Arginine reprograms metabolism in liver cancer via RBM39

2023 145 citations Uwe Sauer et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Uwe Sauer Switzerland	93	19.9k	4.4k	4.0k	1.7k	1.6k	265	24.4k
Masaru Tomita Japan	67	20.9k 1.1×	2.4k 0.6×	5.1k 1.3×	2.0k 1.2×	1.1k 0.7×	578	28.8k
Joshua D. Rabinowitz United States	110	30.9k 1.6×	2.5k 0.6×	2.9k 0.7×	1.3k 0.7×	1.3k 0.8×	328	49.1k
John E. Cronan United States	88	17.5k 0.9×	1.6k 0.4×	4.8k 1.2×	2.0k 1.2×	2.6k 1.6×	389	24.6k
Jay D. Keasling United States	108	37.8k 1.9×	11.1k 2.5×	4.3k 1.1×	1.8k 1.1×	1.7k 1.1×	579	45.8k
John van der Oost Netherlands	79	25.8k 1.3×	2.5k 0.6×	5.0k 1.2×	4.5k 2.6×	2.1k 1.3×	342	30.9k
Torsten Schwede Switzerland	53	25.7k 1.3×	1.6k 0.4×	3.6k 0.9×	1.9k 1.1×	4.0k 2.5×	108	38.8k
Amos Bairoch Switzerland	78	27.9k 1.4×	1.8k 0.4×	4.1k 1.0×	2.6k 1.5×	2.5k 1.5×	155	38.7k
Juan L. Ramos Spain	77	12.3k 0.6×	2.3k 0.5×	6.6k 1.6×	4.1k 2.4×	973 0.6×	393	20.2k
Karl‐Erich Jaeger Germany	65	14.0k 0.7×	2.8k 0.6×	1.6k 0.4×	1.2k 0.7×	1.1k 0.7×	327	17.9k
Michael Kuhn Germany	55	23.9k 1.2×	930 0.2×	2.9k 0.7×	1.6k 1.0×	1.6k 1.0×	153	39.2k

Countries citing papers authored by Uwe Sauer

Since Specialization

Citations

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

Fields of papers citing papers by Uwe Sauer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uwe Sauer

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Borràs, Eva, et al.. (2025). Redox proteomics reveal a role for peroxiredoxinylation in stress protection. Cell Reports. 44(2). 115224–115224. 1 indexed citations

Dervyn, Etienne, Anne‐Gaëlle Planson, Kosei Tanaka, et al.. (2023). Greedy reduction ofBacillus subtilisgenome yields emergent phenotypes of high resistance to a DNA damaging agent and low evolvability. Nucleic Acids Research. 51(6). 2974–2992. 14 indexed citations

Amarnath, Kapil, Sammy Pontrelli, Jiajia Dong, et al.. (2023). Stress-induced metabolic exchanges between complementary bacterial types underly a dynamic mechanism of inter-species stress resistance. Nature Communications. 14(1). 3165–3165. 37 indexed citations

Doubleday, Peter F., et al.. (2022). Dynamic metabolome profiling uncovers potential TOR signaling genes. eLife. 12. 2 indexed citations

Fuhrer, Tobias, Hongping Ye, Brian Kwan, et al.. (2022). High-Throughput Metabolomics and Diabetic Kidney Disease Progression: Evidence from the Chronic Renal Insufficiency (CRIC) Study. American Journal of Nephrology. 53(2-3). 215–225. 23 indexed citations

Nikel, Pablo I., et al.. (2021). Reconfiguration of metabolic fluxes in Pseudomonas putida as a response to sub-lethal oxidative stress. The ISME Journal. 15(6). 1751–1766. 99 indexed citations

Quinn, Andrew, et al.. (2021). Niche partitioning facilitates coexistence of closely related honey bee gut bacteria. eLife. 10. 74 indexed citations

Sekar, Karthik, et al.. (2020). β-Oxidation and autophagy are critical energy providers during acute glucose depletion in S accharomyces cerevisiae. Proceedings of the National Academy of Sciences. 117(22). 12239–12248. 28 indexed citations

Basan, Markus, Tomoya Honda, Dimitris Christodoulou, et al.. (2020). A universal trade-off between growth and lag in fluctuating environments. Nature. 584(7821). 470–474. 143 indexed citations

10.

Zampieri, Mattia, et al.. (2019). Regulatory mechanisms underlying coordination of amino acid and glucose catabolism in Escherichia coli. Nature Communications. 10(1). 3354–3354. 101 indexed citations

11.

Ponomarova, Olga, Natalia Gabrielli, Daniel C. Sévin, et al.. (2017). Yeast Creates a Niche for Symbiotic Lactic Acid Bacteria through Nitrogen Overflow. Cell Systems. 5(4). 345–357.e6. 268 indexed citations

12.

Kochanowski, Karl, Luca Gerosa, Simon Brunner, et al.. (2017). Few regulatory metabolites coordinate expression of central metabolic genes in Escherichia coli. Molecular Systems Biology. 13(1). 903–903. 96 indexed citations

13.

Gonçalves, Emanuel, Mattia Zampieri, Omar Wagih, et al.. (2017). Systematic Analysis of Transcriptional and Post-transcriptional Regulation of Metabolism in Yeast. PLoS Computational Biology. 13(1). e1005297–e1005297. 26 indexed citations

14.

Agüero, Mercedes Gomez de, Stephanie C. Ganal‐Vonarburg, Tobias Fuhrer, et al.. (2016). The maternal microbiota drives early postnatal innate immune development. Science. 351(6279). 1296–1302. 860 indexed citations breakdown →

15.

Meinhardt, Marcus W., et al.. (2014). The Neurometabolic Fingerprint of Excessive Alcohol Drinking. Neuropsychopharmacology. 40(5). 1259–1268. 23 indexed citations

16.

Schuetz, Robert, Nicola Zamboni, Mattia Zampieri, Matthias Heinemann, & Uwe Sauer. (2012). Multidimensional Optimality of Microbial Metabolism. Science. 336(6081). 601–604. 298 indexed citations

17.

Fuhrer, Tobias, Eliane Fischer, & Uwe Sauer. (2005). Experimental Identification and Quantification of Glucose Metabolism in Seven Bacterial Species. Journal of Bacteriology. 187(5). 1581–1590. 304 indexed citations

18.

Zamboni, Nicola, Eliane Fischer, Andrea Muffler, et al.. (2004). Transient expression and flux changes during a shift from high to low riboflavin production in continuous cultures of Bacillus subtilis. Biotechnology and Bioengineering. 89(2). 219–232. 27 indexed citations

19.

Sauer, Uwe, et al.. (2003). Evolutionary engineering of Saccharomyces cerevisiae for anaerobic growth on xylose.. Yeast. 20. 1 indexed citations

20.

Sauer, Uwe. (2003). High-throughput phenomics: experimental methods for mapping fluxomes. Current Opinion in Biotechnology. 15(1). 58–63. 164 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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