Georg Hubmann

1.2k total citations
23 papers, 802 citations indexed

About

Georg Hubmann is a scholar working on Molecular Biology, Biomedical Engineering and Pharmacology. According to data from OpenAlex, Georg Hubmann has authored 23 papers receiving a total of 802 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 8 papers in Biomedical Engineering and 4 papers in Pharmacology. Recurrent topics in Georg Hubmann's work include Fungal and yeast genetics research (12 papers), Microbial Metabolic Engineering and Bioproduction (11 papers) and Biofuel production and bioconversion (8 papers). Georg Hubmann is often cited by papers focused on Fungal and yeast genetics research (12 papers), Microbial Metabolic Engineering and Bioproduction (11 papers) and Biofuel production and bioconversion (8 papers). Georg Hubmann collaborates with scholars based in Germany, Belgium and Netherlands. Georg Hubmann's co-authors include Johan M. Thevelein, Elke Nevoigt, María R. Foulquié-Moreno, Jorge Duitama, Stéphane Guillouet, Steve Swinnen, Matthias Heinemann, Françoise Dumortier, Yudi Yang and Kevin J. Verstrepen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and SHILAP Revista de lepidopterología.

In The Last Decade

Georg Hubmann

21 papers receiving 792 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Georg Hubmann Germany 16 632 269 201 154 114 23 802
Vratislav Šťovíček Denmark 12 761 1.2× 202 0.8× 139 0.7× 102 0.7× 87 0.8× 16 860
Jurgen F. Nijkamp Netherlands 9 516 0.8× 149 0.6× 139 0.7× 136 0.9× 79 0.7× 10 577
Solomon Nwaka Germany 14 757 1.2× 214 0.8× 132 0.7× 210 1.4× 31 0.3× 16 924
Yu Sasano Japan 16 533 0.8× 211 0.8× 141 0.7× 94 0.6× 15 0.1× 37 611
Roland Prielhofer Austria 11 682 1.1× 224 0.8× 36 0.2× 47 0.3× 68 0.6× 13 744
B. Janderová Czechia 9 381 0.6× 79 0.3× 168 0.8× 133 0.9× 63 0.6× 24 555
Joep Schothorst Belgium 5 473 0.7× 71 0.3× 67 0.3× 146 0.9× 29 0.3× 6 567
Javier A. Varela Ireland 12 409 0.6× 171 0.6× 193 1.0× 105 0.7× 35 0.3× 15 559
René Verwaal Netherlands 9 671 1.1× 90 0.3× 46 0.2× 56 0.4× 54 0.5× 13 719
Astrid Weninger Austria 10 593 0.9× 148 0.6× 30 0.1× 59 0.4× 46 0.4× 13 651

Countries citing papers authored by Georg Hubmann

Since Specialization
Citations

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

Fields of papers citing papers by Georg Hubmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Georg Hubmann

This figure shows the co-authorship network connecting the top 25 collaborators of Georg Hubmann. A scholar is included among the top collaborators of Georg Hubmann 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 Georg Hubmann. Georg Hubmann 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.
Hubmann, Georg, et al.. (2025). Microtiter Plate Cultivation Systems Enable Chemically Diverse Metabolic Footprints During Bacterial Natural Product Discovery. Biotechnology and Bioengineering. 122(8). 2021–2036.
2.
Hubmann, Georg, et al.. (2024). Metabolic bottlenecks of Pseudomonas taiwanensis VLB120 during growth on d-xylose via the Weimberg pathway. Metabolic Engineering Communications. 18. e00241–e00241. 3 indexed citations
3.
Schwarz, Jenny, et al.. (2023). Bivariate One Strain Many Compounds Designs Expand the Secondary Metabolite Production Space in Corallococcus coralloides. Microorganisms. 11(10). 2592–2592. 3 indexed citations
4.
Schullehner, Katrin, Georg Hubmann, Guido Jach, et al.. (2022). A targeted metabolomics method for extra- and intracellular metabolite quantification covering the complete monolignol and lignan synthesis pathway. Metabolic Engineering Communications. 15. e00205–e00205. 3 indexed citations
5.
6.
Hubmann, Georg, et al.. (2021). Triaging of Culture Conditions for Enhanced Secondary Metabolite Diversity from Different Bacteria. Biomolecules. 11(2). 193–193. 23 indexed citations
7.
Hubmann, Georg, Athanasios Litsios, Anne C. Meinema, et al.. (2019). Saccharomyces cerevisiae goes through distinct metabolic phases during its replicative lifespan. eLife. 8. 36 indexed citations
8.
Litsios, Athanasios, Daphne H. E. W. Huberts, Alexander Schmidt, et al.. (2019). Differential scaling between G1 protein production and cell size dynamics promotes commitment to the cell division cycle in budding yeast. Nature Cell Biology. 21(11). 1382–1392. 55 indexed citations
9.
Hubmann, Georg, Vakil Takhaveev, Silke R. Vedelaar, et al.. (2019). Measuring glycolytic flux in single yeast cells with an orthogonal synthetic biosensor. Molecular Systems Biology. 15(12). e9071–e9071. 34 indexed citations
10.
Ortega, Álvaro D., et al.. (2018). Assessment of the interaction between the flux‐signaling metabolite fructose‐1,6‐bisphosphate and the bacterial transcription factors CggR and Cra. Molecular Microbiology. 109(3). 278–290. 22 indexed citations
11.
Hubmann, Georg, Johan M. Thevelein, & Elke Nevoigt. (2014). Natural and Modified Promoters for Tailored Metabolic Engineering of the Yeast Saccharomyces cerevisiae. Methods in molecular biology. 1152. 17–42. 36 indexed citations
12.
Duitama, Jorge, Aminael Sánchez‐Rodríguez, Sergio Pulido-Tamayo, et al.. (2014). Improved linkage analysis of Quantitative Trait Loci using bulk segregants unveils a novel determinant of high ethanol tolerance in yeast. BMC Genomics. 15(1). 207–207. 41 indexed citations
13.
Huberts, Daphne H. E. W., Javier González, Sung Sik Lee, et al.. (2014). Calorie restriction does not elicit a robust extension of replicative lifespan inSaccharomyces cerevisiae. Proceedings of the National Academy of Sciences. 111(32). 11727–11731. 38 indexed citations
14.
Hubmann, Georg, Lotte Mathé, María R. Foulquié-Moreno, et al.. (2013). Identification of multiple interacting alleles conferring low glycerol and high ethanol yield in Saccharomyces cerevisiae ethanolic fermentation. Biotechnology for Biofuels. 6(1). 87–87. 40 indexed citations
15.
Hubmann, Georg, María R. Foulquié-Moreno, Elke Nevoigt, et al.. (2013). Quantitative trait analysis of yeast biodiversity yields novel gene tools for metabolic engineering. Metabolic Engineering. 17. 68–81. 39 indexed citations
16.
Hubmann, Georg, et al.. (2013). The metabolic costs of improving ethanol yield by reducing glycerol formation capacity under anaerobic conditions in Saccharomyces cerevisiae. Microbial Cell Factories. 12(1). 29–29. 39 indexed citations
17.
Foulquié-Moreno, María R., Georg Hubmann, Jorge Duitama, et al.. (2013). Comparative Polygenic Analysis of Maximal Ethanol Accumulation Capacity and Tolerance to High Ethanol Levels of Cell Proliferation in Yeast. PLoS Genetics. 9(6). e1003548–e1003548. 68 indexed citations
18.
Hubmann, Georg & Jakob Kapeller. (2012). Solidarisch Handeln: Konzeptionen, Ursachen und Implikationen. SHILAP Revista de lepidopterología.
19.
Swinnen, Steve, Kristien Schaerlaekens, Jürgen Claesen, et al.. (2012). Identification of novel causative genes determining the complex trait of high ethanol tolerance in yeast using pooled-segregant whole-genome sequence analysis. Genome Research. 22(5). 975–984. 144 indexed citations
20.
Hubmann, Georg, et al.. (2010). Quantitative evaluation of yeast's requirement for glycerol formation in very high ethanol performance fed-batch process. Microbial Cell Factories. 9(1). 36–36. 20 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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