Michael Sauer

8.6k total citations · 1 hit paper
129 papers, 5.8k citations indexed

About

Michael Sauer is a scholar working on Molecular Biology, Biomedical Engineering and Sociology and Political Science. According to data from OpenAlex, Michael Sauer has authored 129 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Molecular Biology, 40 papers in Biomedical Engineering and 15 papers in Sociology and Political Science. Recurrent topics in Michael Sauer's work include Microbial Metabolic Engineering and Bioproduction (57 papers), Fungal and yeast genetics research (41 papers) and Biofuel production and bioconversion (38 papers). Michael Sauer is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (57 papers), Fungal and yeast genetics research (41 papers) and Biofuel production and bioconversion (38 papers). Michael Sauer collaborates with scholars based in Austria, Italy and Germany. Michael Sauer's co-authors include Diethard Mattanovich, Danilo Porro, Paola Branduardi, Brigitte Gasser, Hans Marx, Matthias G. Steiger, Michael Maurer, Hannes Rußmayer, Michael Egermeier and Minoska Valli and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Nature Biotechnology.

In The Last Decade

Michael Sauer

112 papers receiving 5.7k citations

Hit Papers

Microbial production of organic acids: expanding the markets 2008 2026 2014 2020 2008 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
Michael Sauer Austria 41 4.6k 2.2k 702 564 507 129 5.8k
Danilo Porro Italy 39 4.2k 0.9× 1.8k 0.8× 582 0.8× 792 1.4× 404 0.8× 179 5.6k
Johannes H. de Winde Netherlands 40 4.5k 1.0× 1.6k 0.8× 344 0.5× 556 1.0× 348 0.7× 90 5.5k
Patrick Fickers Belgium 36 3.3k 0.7× 1.6k 0.7× 317 0.5× 379 0.7× 206 0.4× 105 4.3k
Guillermo Gosset Mexico 46 4.5k 1.0× 1.5k 0.7× 575 0.8× 364 0.6× 319 0.6× 138 5.7k
Pau Ferrer Spain 41 3.5k 0.7× 1.1k 0.5× 543 0.8× 266 0.5× 369 0.7× 101 4.2k
Jin‐Ho Seo South Korea 45 5.2k 1.1× 3.0k 1.4× 907 1.3× 531 0.9× 331 0.7× 236 6.9k
Kang Zhou China 43 2.7k 0.6× 977 0.5× 476 0.7× 972 1.7× 326 0.6× 135 5.2k
Mitsuyoshi Ueda Japan 47 5.7k 1.2× 2.5k 1.1× 2.0k 2.8× 367 0.7× 667 1.3× 348 8.6k
Paola Branduardi Italy 29 2.6k 0.6× 1.3k 0.6× 430 0.6× 456 0.8× 219 0.4× 99 3.4k
Oliver Spadiut Austria 35 2.9k 0.6× 837 0.4× 774 1.1× 289 0.5× 202 0.4× 190 4.2k

Countries citing papers authored by Michael Sauer

Since Specialization
Citations

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

Fields of papers citing papers by Michael Sauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Sauer

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Sauer. A scholar is included among the top collaborators of Michael 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 Michael Sauer. Michael Sauer 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.
Levante, Alessia, Hannes Rußmayer, Hans Marx, et al.. (2025). Screening and bioreactor cultivation of wild-type lactic acid bacteria for high purity D-lactic acid production. New Biotechnology. 90. 48–55.
2.
Torkler, Phillipp, et al.. (2024). LoDEI: a robust and sensitive tool to detect transcriptome-wide differential A-to-I editing in RNA-seq data. Nature Communications. 15(1). 9121–9121. 5 indexed citations
3.
Maciejasz, Paweł, Tymoteusz Budny, Michael Sauer, et al.. (2024). User preference and patient benefits of a novel energy storing and return foot: A randomized, cross-over clinical trial. Prosthetics and Orthotics International. 49(6). 645–653.
4.
Soares, Pedro, et al.. (2023). Structural characterization of the Aspergillus niger citrate transporter CexA uncovers the role of key residues S75, R192 and Q196. Computational and Structural Biotechnology Journal. 21. 2884–2898. 4 indexed citations
5.
Rußmayer, Hannes, et al.. (2023). Process engineering towards an oxidative cellular state improves 3-hydroxypropionic acid production with Lentilactobacillus diolivorans. Bioresource Technology. 382. 129160–129160. 1 indexed citations
6.
Lampl, Benedikt, et al.. (2023). Effects of infection control measures towards preventing SARS-CoV-2 outbreaks in a German choir boarding school from March 2020 to April 2022. Frontiers in Pediatrics. 11. 1215678–1215678. 1 indexed citations
7.
Arcalís, Elsa, et al.. (2021). Sclerotia formed by citric acid producing strains of Aspergillus niger: Induction and morphological analysis. Fungal Biology. 125(6). 485–494. 6 indexed citations
8.
Sauer, Michael, et al.. (2021). Improvement of 3-hydroxypropionic acid tolerance in Klebsiella pneumoniae by novel transporter YohJK. Bioresource Technology. 346. 126613–126613. 11 indexed citations
9.
Sauer, Michael, et al.. (2020). The fungal sexual revolution continues: discovery of sexual development in members of the genus Aspergillus and its consequences. SHILAP Revista de lepidopterología. 7(1). 17–17. 3 indexed citations
10.
Steiger, Matthias G., Diethard Mattanovich, & Michael Sauer. (2017). Microbial organic acid production as carbon dioxide sink. FEMS Microbiology Letters. 364(21). 27 indexed citations
11.
Sauer, Michael. (2014). Towards production of short chain fatty acids and adipic acid in Escherichia coli. 1 indexed citations
12.
Stadlmayr, Gerhard, et al.. (2010). Identification and characterisation of novel Pichia pastoris promoters for heterologous protein production. Journal of Biotechnology. 150(4). 519–529. 123 indexed citations
13.
Horn, Sabine & Michael Sauer. (2009). Geschichte und Öffentlichkeit : Orte-Medien-Institutionen. Vandenhoeck & Ruprecht eBooks.
14.
Dato, Laura, Michael Sauer, Simone Passolunghi, Danilo Porro, & Paola Branduardi. (2008). Investigating the multibudded and binucleate phenotype ofâ the yeastZygosaccharomyces bailiigrowing on minimal medium. FEMS Yeast Research. 8(6). 906–915. 6 indexed citations
15.
Sauer, Michael, et al.. (2006). Geschichtsdidaktik empirisch : Untersuchungen zum historischen Denken und Lernen. Lit eBooks. 7 indexed citations
16.
Marx, Hans, Michael Sauer, David Resina, et al.. (2006). Cloning, disruption and protein secretory phenotype of theGAS1homologue ofPichia pastoris. FEMS Microbiology Letters. 264(1). 40–47. 37 indexed citations
17.
Sauer, Michael, et al.. (2005). Geschichte und Geschehen. 1 indexed citations
18.
Sauer, Michael. (2001). Geschichte unterrichten: eine Einführung in die Didaktik und Methodik.
19.
Sauer, Michael. (1987). Volksschullehrerbildung in Preußen : die Seminare und Präparandenanstalten vom 18. Jahrhundert bis zur Weimarer Republik. Böhlau eBooks. 1 indexed citations
20.
Sauer, Michael. (1976). Erwachsenenbildung : Stand und Trend der Forschung in der Bundesrepublik Deutschland. Vandenhoeck & Ruprecht eBooks. 1 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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