Michael Egermeier

618 total citations
10 papers, 454 citations indexed

About

Michael Egermeier is a scholar working on Molecular Biology, Biomedical Engineering and Pollution. According to data from OpenAlex, Michael Egermeier has authored 10 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Biomedical Engineering and 1 paper in Pollution. Recurrent topics in Michael Egermeier's work include Microbial Metabolic Engineering and Bioproduction (9 papers), Biofuel production and bioconversion (5 papers) and Fungal and yeast genetics research (4 papers). Michael Egermeier is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (9 papers), Biofuel production and bioconversion (5 papers) and Fungal and yeast genetics research (4 papers). Michael Egermeier collaborates with scholars based in Austria and Switzerland. Michael Egermeier's co-authors include Michael Sauer, Hans Marx, Thomas Gassler, Diethard Mattanovich, Hannes Rußmayer, Stephan Hann, Tim Causon, Brigitte Gasser, Matthias G. Steiger and Christina Troyer and has published in prestigious journals such as Nature Biotechnology, Frontiers in Microbiology and Biotechnology Advances.

In The Last Decade

Michael Egermeier

9 papers receiving 448 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Egermeier Austria 7 398 207 60 35 18 10 454
Yohei Tashiro Japan 9 366 0.9× 187 0.9× 59 1.0× 36 1.0× 26 1.4× 14 452
Enrico Orsi Netherlands 13 356 0.9× 128 0.6× 53 0.9× 43 1.2× 22 1.2× 20 431
Martina Carrillo Germany 7 314 0.8× 169 0.8× 48 0.8× 26 0.7× 11 0.6× 9 380
Suman Lama South Korea 9 291 0.7× 220 1.1× 27 0.5× 28 0.8× 10 0.6× 16 369
Thomas Gassler Switzerland 8 560 1.4× 238 1.1× 100 1.7× 53 1.5× 23 1.3× 10 634
Oliver Hädicke Germany 13 588 1.5× 272 1.3× 61 1.0× 54 1.5× 16 0.9× 17 659
Nicholas S. Kruyer United States 9 257 0.6× 142 0.7× 21 0.3× 28 0.8× 20 1.1× 9 363
Kati Thiel Finland 7 279 0.7× 132 0.6× 121 2.0× 19 0.5× 15 0.8× 8 376
Zhenhua Ruan United States 12 371 0.9× 327 1.6× 114 1.9× 17 0.5× 22 1.2× 18 512
Naama Tepper Israel 6 486 1.2× 236 1.1× 72 1.2× 46 1.3× 10 0.6× 6 534

Countries citing papers authored by Michael Egermeier

Since Specialization
Citations

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

Fields of papers citing papers by Michael Egermeier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Egermeier

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

All Works

10 of 10 papers shown
1.
Steiner, K., et al.. (2025). Unveiling potential of Gordonia species and their cutinases for polyester decomposition. International Journal of Biological Macromolecules. 327(Pt 2). 147309–147309.
2.
Kienberger, Marlene, et al.. (2023). (Selective) Isolation of acetic acid and lactic acid from heterogeneous fermentation of xylose and glucose. Chemical Engineering Journal Advances. 16. 100552–100552. 3 indexed citations
3.
Rußmayer, Hannes, et al.. (2023). Entirely oil palm-based production of 1,3-propanediol with Lentilactobacillus diolivorans. Environmental Technology & Innovation. 29. 103024–103024. 5 indexed citations
4.
Egermeier, Michael, et al.. (2022). Insights into the glycerol transport of Yarrowia lipolytica. Yeast. 39(5). 323–336. 20 indexed citations
5.
Gassler, Thomas, et al.. (2021). Adaptive laboratory evolution and reverse engineering enhances autotrophic growth in Pichia pastoris. Metabolic Engineering. 69. 112–121. 33 indexed citations
6.
Egermeier, Michael, et al.. (2020). Identification of the citrate exporter Cex1 ofYarrowia lipolytica. FEMS Yeast Research. 20(7). 17 indexed citations
7.
Gassler, Thomas, Michael Sauer, Brigitte Gasser, et al.. (2019). The industrial yeast Pichia pastoris is converted from a heterotroph into an autotroph capable of growth on CO2. Nature Biotechnology. 38(2). 210–216. 239 indexed citations
8.
Rußmayer, Hannes, et al.. (2019). Spotlight on biodiversity of microbial cell factories for glycerol conversion. Biotechnology Advances. 37(6). 107395–107395. 34 indexed citations
9.
Egermeier, Michael, Michael Sauer, & Hans Marx. (2019). Golden Gate-based metabolic engineering strategy for wild-type strains of Yarrowia lipolytica. FEMS Microbiology Letters. 366(4). 28 indexed citations
10.
Egermeier, Michael, Hannes Rußmayer, Michael Sauer, & Hans Marx. (2017). Metabolic Flexibility of Yarrowia lipolytica Growing on Glycerol. Frontiers in Microbiology. 8. 49–49. 75 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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