Matthias G. Steiger
- Molecular Biology top 5%
- Biomedical Engineering top 2%
- Biotechnology top 2%
- Plant Science top 10%
- Pharmacology top 10%
- Co-authors
- Diethard MattanovichMichael SauerBrigitte GasserRobert L. MachAstrid R. Mach‐AignerStephan HannHans MarxChristina Troyer
- Topics
- Microbial Metabolic Engineering and Bioproduction (27 papers)Biofuel production and bioconversion (20 papers)Fungal and yeast genetics research (20 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaNature Biotechnology
- Partner nations
- AustriaGermanyNetherlands
In The Last Decade
Matthias G. Steiger
50 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 109
- Molecular Biology 2.0k
- Biomedical Engineering 987
- Biotechnology 283
- Plant Science 251
- Pharmacology 147
Countries citing papers authored by Matthias G. Steiger
This map shows the geographic impact of Matthias G. Steiger'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 Matthias G. Steiger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias G. Steiger more than expected).
Fields of papers citing papers by Matthias G. Steiger
This network shows the impact of papers produced by Matthias G. Steiger. 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 Matthias G. Steiger. The network helps show where Matthias G. Steiger may publish in the future.
Co-authorship network of co-authors of Matthias G. Steiger
This figure shows the co-authorship network connecting the top 25 collaborators of Matthias G. Steiger. A scholar is included among the top collaborators of Matthias G. Steiger 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 Matthias G. Steiger. Matthias G. Steiger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 6 | |
| 9 | 3 | |
| 10 | 8 | |
| 11 | 56 | |
| 12 | 4 | |
| 13 | 102 | |
| 14 | 48 | |
| 15 | 27 | |
| 16 | 17 | |
| 17 | 28 | |
| 18 | 116 | |
| 19 | 140 | |
| 20 | 103 |
About Matthias G. Steiger
Matthias G. Steiger is a scholar working on Aging, Molecular Biology and Biomedical Engineering, having authored 52 papers that have together received 2.3k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (27 papers), Biofuel production and bioconversion (20 papers) and Fungal and yeast genetics research (20 papers). The work is most often cited by research in Biotechnology (283 citations), Molecular Biology (2.0k citations) and Biomedical Engineering (987 citations). Matthias G. Steiger has collaborated with scholars based in Austria, Germany and Netherlands. Frequent co-authors include Diethard Mattanovich, Michael Sauer, Brigitte Gasser, Robert L. Mach, Astrid R. Mach‐Aigner, Stephan Hann, Hans Marx, Christina Troyer, Michael Maurer and Jürgen Zanghellini. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Nature Biotechnology.
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.