Markus Schmidt
Impact in
- Molecular Biology top 10%
- CRISPR and Genetic Engineering
- Gene Regulatory Network Analysis
- Microbial Metabolic Engineering and Bioproduction
- RNA and protein synthesis mechanisms
Papers in
-
- Gene Regulatory Network Analysis 20
- CRISPR and Genetic Engineering 15
- Microbial Metabolic Engineering and Bioproduction 7
- RNA and protein synthesis mechanisms 4
- Genetics 9
- Bacterial Genetics and Biotechnology 5
- Co-authors
- Vı́ctor de Lorenzo (5 shared papers)Pei Lei (7 shared papers)Helge Torgersen (3 shared papers)Wei Wei (5 shared papers)Agomoni Ganguli‐Mitra (3 shared papers)Alexander Kelle (3 shared papers)Carlos G. Acevedo‐Rocha (1 shared paper)Gang Fang (1 shared paper)
- Journals
- Public Understanding of Science (3 papers)Current Opinion in Biotechnology (2 papers)BioEssays (2 papers)BioScience (2 papers)New Biotechnology (2 papers)
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Markus Schmidt
39 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 141
- Molecular Biology 699
- Business and International Management 17
- Genetics 222
- Plant Science 231
- Horticulture 6
Countries citing papers authored by Markus Schmidt
This map shows the geographic impact of Markus Schmidt'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 Markus Schmidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Schmidt more than expected).
Fields of papers citing papers by Markus Schmidt
This network shows the impact of papers produced by Markus Schmidt. 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 Markus Schmidt. The network helps show where Markus Schmidt may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Schmidt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 166 | |
| 2 | 2010 | 126 | |
| 3 | 2012 | 73 | |
| 4 | 2012 | 67 | |
| 5 | 2008 | 67 | |
| 6 | 2016 | 59 | |
| 7 | 2014 | 58 | |
| 8 | 2009 | 47 | |
| 9 | 2020 | 46 | |
| 10 | 2020 | 43 | |
| 11 | 2009 | 42 | |
| 12 | 2013 | 41 | |
| 13 | 2017 | 36 | |
| 14 | 2006 | 33 | |
| 15 | 2008 | 26 | |
| 16 | Investigating risk perception: a short introduction | 2004 | 25 |
| 17 | 2010 | 24 | |
| 18 | 2011 | 24 | |
| 19 | 2022 | 22 | |
| 20 | 2018 | 22 |
About Markus Schmidt
Markus Schmidt is a scholar working on Molecular Biology, Genetics, Plant Science, Biomedical Engineering and Sociology and Political Science, having authored 42 papers that have together received 1.2k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (20 papers), CRISPR and Genetic Engineering (15 papers), Microbial Metabolic Engineering and Bioproduction (7 papers), Genetically Modified Organisms Research (6 papers), Bacterial Genetics and Biotechnology (5 papers), RNA and protein synthesis mechanisms (4 papers), Transgenic Plants and Applications (3 papers) and Biomedical and Engineering Education (3 papers). The work is most often cited by research in Molecular Biology (699 citations), Business and International Management (17 citations), Genetics (222 citations), Plant Science (231 citations) and Horticulture (6 citations). Markus Schmidt has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Vı́ctor de Lorenzo, Pei Lei, Helge Torgersen, Wei Wei, Agomoni Ganguli‐Mitra, Alexander Kelle, Carlos G. Acevedo‐Rocha, Gang Fang, David W. Ussery and Antoine Danchin. Their work appears in journals such as Public Understanding of Science, Current Opinion in Biotechnology, BioEssays, BioScience and New 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.