Elke Nevoigt

5.2k total citations · 2 hit papers
53 papers, 3.8k citations indexed

About

Elke Nevoigt is a scholar working on Molecular Biology, Biomedical Engineering and Food Science. According to data from OpenAlex, Elke Nevoigt has authored 53 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 28 papers in Biomedical Engineering and 18 papers in Food Science. Recurrent topics in Elke Nevoigt's work include Microbial Metabolic Engineering and Bioproduction (45 papers), Fungal and yeast genetics research (41 papers) and Biofuel production and bioconversion (28 papers). Elke Nevoigt is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (45 papers), Fungal and yeast genetics research (41 papers) and Biofuel production and bioconversion (28 papers). Elke Nevoigt collaborates with scholars based in Germany, Belgium and Netherlands. Elke Nevoigt's co-authors include Gregory Stephanopoulos, Hal S. Alper, Ulf Ståhl, Curt R. Fischer, Steve Swinnen, Joel F. Moxley, Gerald R. Fink, Mathias Klein, Johan M. Thevelein and Georg Hubmann and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Applied and Environmental Microbiology.

In The Last Decade

Elke Nevoigt

52 papers receiving 3.8k citations

Hit Papers

Tuning genetic control through promoter engineering 2005 2026 2012 2019 2005 2006 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elke Nevoigt Germany 31 3.4k 1.6k 756 381 343 53 3.8k
Marijke A. H. Luttik Netherlands 26 3.1k 0.9× 1.3k 0.8× 700 0.9× 433 1.1× 87 0.3× 57 3.6k
Concetta Compagno Italy 27 1.9k 0.6× 790 0.5× 1.2k 1.6× 569 1.5× 108 0.3× 73 2.6k
Cornelis Verduyn Netherlands 21 3.1k 0.9× 1.6k 1.0× 633 0.8× 361 0.9× 110 0.3× 36 3.7k
Laura Ruohonen Finland 40 3.1k 0.9× 2.6k 1.6× 423 0.6× 634 1.7× 71 0.2× 76 4.1k
Gerold Barth Germany 26 2.1k 0.6× 943 0.6× 383 0.5× 178 0.5× 99 0.3× 57 2.8k
Yun‐Peng Chao Taiwan 28 1.9k 0.6× 741 0.5× 146 0.2× 167 0.4× 399 1.2× 108 2.6k
Hitoshi Shimoi Japan 30 2.2k 0.6× 894 0.6× 879 1.2× 624 1.6× 74 0.2× 112 2.7k
Lennart Adler Sweden 27 2.9k 0.9× 1.1k 0.7× 681 0.9× 674 1.8× 65 0.2× 50 3.5k
José Luis Revuelta Spain 33 2.3k 0.7× 495 0.3× 174 0.2× 543 1.4× 123 0.4× 80 2.9k
Boris U. Stambuk Brazil 31 1.7k 0.5× 1.4k 0.9× 692 0.9× 461 1.2× 54 0.2× 96 2.3k

Countries citing papers authored by Elke Nevoigt

Since Specialization
Citations

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

Fields of papers citing papers by Elke Nevoigt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elke Nevoigt

This figure shows the co-authorship network connecting the top 25 collaborators of Elke Nevoigt. A scholar is included among the top collaborators of Elke Nevoigt 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 Elke Nevoigt. Elke Nevoigt 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
3.
Hulster, Erik de, et al.. (2022). Carbon dioxide fixation via production of succinic acid from glycerol in engineered Saccharomyces cerevisiae. Microbial Cell Factories. 21(1). 102–102. 33 indexed citations
4.
Martins, Luís C., Margarida Palma, Angel Angelov, et al.. (2021). Complete Utilization of the Major Carbon Sources Present in Sugar Beet Pulp Hydrolysates by the Oleaginous Red Yeasts Rhodotorula toruloides and R. mucilaginosa. Journal of Fungi. 7(3). 215–215. 28 indexed citations
5.
Martins, Luís C., Mathias Klein, Angel Angelov, et al.. (2021). Towards valorization of pectin-rich agro-industrial residues: Engineering of Saccharomyces cerevisiae for co-fermentation of d-galacturonic acid and glycerol. Metabolic Engineering. 69. 1–14. 15 indexed citations
8.
Islam, Zia Ul, et al.. (2017). A modular metabolic engineering approach for the production of 1,2-propanediol from glycerol by Saccharomyces cerevisiae. Metabolic Engineering. 44. 223–235. 42 indexed citations
9.
Klein, Mathias, Steve Swinnen, Johan M. Thevelein, & Elke Nevoigt. (2016). Glycerol metabolism and transport in yeast and fungi: established knowledge and ambiguities. Environmental Microbiology. 19(3). 878–893. 154 indexed citations
10.
Klein, Mathias, et al.. (2016). Towards the exploitation of glycerol's high reducing power in Saccharomyces cerevisiae-based bioprocesses. Metabolic Engineering. 38. 464–472. 36 indexed citations
11.
Klein, Mathias, Zia Ul Islam, Peter Boldsen Knudsen, et al.. (2016). The expression of glycerol facilitators from various yeast species improves growth on glycerol of Saccharomyces cerevisiae. Metabolic Engineering Communications. 3. 252–257. 44 indexed citations
12.
Fernández‐Niño, Miguel, et al.. (2015). The Cytosolic pH of Individual Saccharomyces cerevisiae Cells Is a Key Factor in Acetic Acid Tolerance. Applied and Environmental Microbiology. 81(22). 7813–7821. 33 indexed citations
13.
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
14.
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
15.
Tyo, Keith E. J., Elke Nevoigt, & Gregory Stephanopoulos. (2011). Directed Evolution of Promoters and Tandem Gene Arrays for Customizing RNA Synthesis Rates and Regulation. Methods in enzymology on CD-ROM/Methods in enzymology. 497. 135–155. 16 indexed citations
16.
Nguyen, Huyen Thi & Elke Nevoigt. (2009). Engineering of Saccharomyces cerevisiae for the production of dihydroxyacetone (DHA) from sugars: A proof of concept. Metabolic Engineering. 11(6). 335–346. 16 indexed citations
17.
Huyền, Nguyễn Thị Thanh, et al.. (2008). Fermentative production of l‐glycerol 3‐phosphate utilizing a Saccharomyces cerevisiae strain with an engineered glycerol biosynthetic pathway. Biotechnology and Bioengineering. 100(3). 497–505. 10 indexed citations
18.
Alper, Hal S., Joel F. Moxley, Elke Nevoigt, Gerald R. Fink, & Gregory Stephanopoulos. (2006). Engineering Yeast Transcription Machinery for Improved Ethanol Tolerance and Production. Science. 314(5805). 1565–1568. 611 indexed citations breakdown →
19.
Nevoigt, Elke, et al.. (2006). Engineering promoter regulation. Biotechnology and Bioengineering. 96(3). 550–558. 59 indexed citations
20.
Alper, Hal S., Curt R. Fischer, Elke Nevoigt, & Gregory Stephanopoulos. (2005). Tuning genetic control through promoter engineering. Proceedings of the National Academy of Sciences. 102(36). 12678–12683. 693 indexed citations breakdown →

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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