Hans Marx
Impact in
- Molecular Biology top 5%
- Microbial Metabolic Engineering and Bioproduction
- Fungal and yeast genetics research
- Enzyme Catalysis and Immobilization
- CRISPR and Genetic Engineering
- Viral Infectious Diseases and Gene Expression in Insects
- Biotechnology top 5%
Papers in
-
- Microbial Metabolic Engineering and Bioproduction 27
- Fungal and yeast genetics research 12
- Enzyme Catalysis and Immobilization 10
- CRISPR and Genetic Engineering 3
- Gene Regulatory Network Analysis 2
-
- Biofuel production and bioconversion 19
- Co-authors
- Michael SauerDiethard MattanovichBrigitte GasserHannes RußmayerMatthias G. SteigerStefan PflüglMichael EgermeierRoland Prielhofer
In The Last Decade
Hans Marx
36 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 100
- Molecular Biology 1.3k
- Biotechnology 148
- Biomedical Engineering 576
- Food Science 170
- Aging 16
Countries citing papers authored by Hans Marx
This map shows the geographic impact of Hans Marx'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 Hans Marx with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans Marx more than expected).
Fields of papers citing papers by Hans Marx
This network shows the impact of papers produced by Hans Marx. 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 Hans Marx. The network helps show where Hans Marx may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hans Marx, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 7 | |
| 5 | 2023 | 10 | |
| 6 | 2023 | 1 | |
| 7 | 2019 | 32 | |
| 8 | 2017 | 75 | |
| 9 | 2016 | 14 | |
| 10 | Organic acids from lignocellulose: Candida lignohabitans as a new microbial cell factory | 2015 | 1 |
| 11 | 2015 | 20 | |
| 12 | 2015 | 40 | |
| 13 | 2013 | 73 | |
| 14 | 2013 | 13 | |
| 15 | 2012 | 108 | |
| 16 | 2008 | 28 | |
| 17 | 2008 | 78 | |
| 18 | 2006 | 37 | |
| 19 | 1998 | 6 | |
| 20 | 1995 | 25 |
About Hans Marx
Hans Marx is a scholar working on Molecular Biology, Biomedical Engineering, Food Science, Agronomy and Crop Science and Endocrinology, having authored 38 papers that have together received 1.5k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (27 papers), Biofuel production and bioconversion (19 papers), Fungal and yeast genetics research (12 papers), Enzyme Catalysis and Immobilization (10 papers), Probiotics and Fermented Foods (4 papers), CRISPR and Genetic Engineering (3 papers), Gene Regulatory Network Analysis (2 papers) and Ruminant Nutrition and Digestive Physiology (2 papers). The work is most often cited by research in Molecular Biology (1.3k citations), Biotechnology (148 citations), Biomedical Engineering (576 citations), Food Science (170 citations) and Aging (16 citations). Hans Marx has collaborated with scholars based in Austria, Germany and Spain. Frequent co-authors include Michael Sauer, Diethard Mattanovich, Brigitte Gasser, Hannes Rußmayer, Matthias G. Steiger, Stefan Pflügl, Michael Egermeier, Roland Prielhofer, Reingard Grabherr and Michael Maurer. Their work appears in journals such as Bioresource Technology, New Biotechnology, FEMS Yeast Research, Biotechnology for Biofuels and Microbial Cell Factories.
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.