Mario Scherer
Impact in
- Plant Science top 2%
- Plant-Microbe Interactions and Immunity
- Plant Disease Resistance and Genetics
- Mycorrhizal Fungi and Plant Interactions
- Cell Biology top 5%
- Plant Pathogens and Fungal Diseases
Papers in
-
- Molecular Biology Techniques and Applications 14
- Fungal and yeast genetics research 6
- Plant Reproductive Biology 4
- Gene expression and cancer classification 3
- Genetics 9
- Forensic and Genetic Research 8
- Co-authors
- Rainer Fischer (5 shared papers)Jörg Kämper (2 shared papers)Kai Heimel (3 shared papers)Huijun Wei (2 shared papers)Kay Vienken (1 shared paper)Uwe Linne (1 shared paper)Mohamed A. Marahiel (1 shared paper)David Schüler (2 shared papers)
- Journals
- The Plant Cell (2 papers)Forensic science international. Genetics supplement series (12 papers)Archives of Microbiology (1 paper)PLoS Pathogens (1 paper)Genetics (1 paper)
- Partner nations
- GermanyUnited StatesSpain
In The Last Decade
Mario Scherer
24 papers receiving 1.8k citations
Mario Scherer's Hit Papers
Peers
Comparison fields: 5 of 83
- Plant Science 1.1k
- Cell Biology 422
- Molecular Biology 1.1k
- Pharmacology 263
- Biotechnology 125
Countries citing papers authored by Mario Scherer
This map shows the geographic impact of Mario Scherer'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 Mario Scherer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Scherer more than expected).
Fields of papers citing papers by Mario Scherer
This network shows the impact of papers produced by Mario Scherer. 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 Mario Scherer. The network helps show where Mario Scherer may publish in the future.
Co-authors
The 25 scholars most cited alongside Mario Scherer, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Insights from the genome of the biotrophic fungal plant pathogen Ustilago maydis Hit paper breakdown → | 2006 | 984 |
| 2 | 2006 | 144 | |
| 3 | 2010 | 100 | |
| 4 | 2006 | 91 | |
| 5 | 2004 | 81 | |
| 6 | 2001 | 78 | |
| 7 | 2002 | 73 | |
| 8 | 2017 | 69 | |
| 9 | 1998 | 67 | |
| 10 | 2010 | 55 | |
| 11 | 2001 | 21 | |
| 12 | 2017 | 20 | |
| 13 | 2015 | 12 | |
| 14 | 2009 | 9 | |
| 15 | 2015 | 6 | |
| 16 | 2019 | 5 | |
| 17 | 2022 | 4 | |
| 18 | 2015 | 3 | |
| 19 | 2019 | 3 | |
| 20 | 2009 | 2 |
About Mario Scherer
Mario Scherer is a scholar working on Molecular Biology, Genetics, Biotechnology, Pharmacology and Plant Science, having authored 25 papers that have together received 1.8k indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (14 papers), Forensic and Genetic Research (8 papers), Fungal and yeast genetics research (6 papers), Environmental DNA in Biodiversity Studies (6 papers), Plant Reproductive Biology (4 papers), Enzyme-mediated dye degradation (4 papers), Fungal Biology and Applications (4 papers) and Gene expression and cancer classification (3 papers). The work is most often cited by research in Plant Science (1.1k citations), Cell Biology (422 citations), Molecular Biology (1.1k citations), Pharmacology (263 citations) and Biotechnology (125 citations). Mario Scherer has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Rainer Fischer, Jörg Kämper, Kai Heimel, Huijun Wei, Kay Vienken, Uwe Linne, Mohamed A. Marahiel, Jörg Kämper, David Schüler and Michael Bölker. Their work appears in journals such as The Plant Cell, Forensic science international. Genetics supplement series, Archives of Microbiology, PLoS Pathogens and Genetics.
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.