David Stadler
- Plant Science top 5%
- Mycotoxins in Agriculture and Food 5
- Cell Biology top 10%
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- Protist diversity and phylogeny 14
- Photosynthetic Processes and Mechanisms 12
- Fungal and yeast genetics research 8
- Food Science top 10%
- Pesticide Residue Analysis and Safety 3
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- Algal biology and biofuel production 8
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- Amino Acid Enzymes and Metabolism 3
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- Neuroinflammation and Neurodegeneration Mechanisms 3
David Stadler
51 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Plant Science 515
- Cell Biology 198
- Molecular Biology 648
- Food Science 108
- Ecology, Evolution, Behavior and Systematics 95
Countries citing papers authored by David Stadler
This map shows the geographic impact of David Stadler'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 David Stadler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Stadler more than expected).
Fields of papers citing papers by David Stadler
This network shows the impact of papers produced by David Stadler. 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 David Stadler. The network helps show where David Stadler may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Stadler, 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 | 2024 | 4 | |
| 2 | 2023 | 5 | |
| 3 | 2022 | 6 | |
| 4 | Validation of an LC-MS/MS-based dilute-and-shoot approach for the quantification of > 500 mycotoxins and other secondary metabolites in food crops: challenges and solutionsbreakdown → | 2020 | 194 |
| 5 | 2019 | 40 | |
| 6 | 2018 | 29 | |
| 7 | 2016 | 22 | |
| 8 | 2016 | 41 | |
| 9 | 2014 | 32 | |
| 10 | 1997 | 2 | |
| 11 | 1995 | 10 | |
| 12 | 1994 | 13 | |
| 13 | 1984 | 5 | |
| 14 | 1983 | 8 | |
| 15 | 1979 | 10 | |
| 16 | 1973 | 11 | |
| 17 | 1968 | 33 | |
| 18 | 1967 | 10 | |
| 19 | 1956 | 14 | |
| 20 | 1953 | 3 |
About David Stadler
David Stadler is a scholar working on Renewable Energy, Sustainability and the Environment, Biochemistry, Radiological and Ultrasound Technology, Molecular Biology and Neurology, having authored 52 papers that have together received 1.2k indexed citations. Recurring topics across this work include Protist diversity and phylogeny (14 papers), Photosynthetic Processes and Mechanisms (12 papers), Fungal and yeast genetics research (8 papers), Algal biology and biofuel production (8 papers), Mycotoxins in Agriculture and Food (5 papers), Amino Acid Enzymes and Metabolism (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Pesticide Residue Analysis and Safety (3 papers). The work is most often cited by research in Plant Science (515 citations), Cell Biology (198 citations), Molecular Biology (648 citations), Food Science (108 citations) and Ecology, Evolution, Behavior and Systematics (95 citations). David Stadler has collaborated with scholars based in United States, Austria and Germany. Frequent co-authors include Rudolf Krska, Michael Sulyok, David J Steiner, Franz Berthiller, Beverly Kariya, Laura Serna, Rainer Schuhmacher, Rudolf Martini, David A. Smith and Janos Groh. Their work appears in journals such as Genetics, Analytical and Bioanalytical Chemistry, Genetics Research, Journal of Bacteriology and iScience.
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.