Michael Wassenegger
- Endocrinology top 0.5%
- Plant and Fungal Interactions Research 6
- Plant Science top 0.5%
- Plant Virus Research Studies 50
- Plant Molecular Biology Research 18
- Chromosomal and Genetic Variations 13
- Plant-Microbe Interactions and Immunity 7
- Horticulture top 2%
- Biotechnology top 2%
- Transgenic Plants and Applications 5
- Molecular Biology top 5%
- CRISPR and Genetic Engineering 15
- Plant tissue culture and regeneration 11
Michael Wassenegger
56 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Endocrinology 724
- Plant Science 3.1k
- Horticulture 61
- Biotechnology 260
- Molecular Biology 2.0k
Countries citing papers authored by Michael Wassenegger
This map shows the geographic impact of Michael Wassenegger'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 Michael Wassenegger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Wassenegger more than expected).
Fields of papers citing papers by Michael Wassenegger
This network shows the impact of papers produced by Michael Wassenegger. 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 Michael Wassenegger. The network helps show where Michael Wassenegger may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Wassenegger, 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 | 0 | |
| 2 | 2023 | 2 | |
| 3 | 2021 | 11 | |
| 4 | RNAi-mediated control of spotted wing drosophila (Drosophila suzukii): efficacy challenges and biosafety considerations. | 2018 | 1 |
| 5 | 2018 | 104 | |
| 6 | 2016 | 17 | |
| 7 | 2016 | 116 | |
| 8 | 2013 | 13 | |
| 9 | 2013 | 32 | |
| 10 | 2012 | 27 | |
| 11 | 2010 | 20 | |
| 12 | 2010 | 5 | |
| 13 | 2007 | 197 | |
| 14 | 2005 | 151 | |
| 15 | 2004 | 109 | |
| 16 | 2002 | 20 | |
| 17 | 2001 | 5 | |
| 18 | 2000 | 205 | |
| 19 | 1998 | 171 | |
| 20 | 1996 | 87 |
About Michael Wassenegger
Michael Wassenegger is a scholar working on Plant Science, Endocrinology, Horticulture, Biotechnology and Molecular Biology, having authored 57 papers that have together received 3.7k indexed citations. Recurring topics across this work include Plant Virus Research Studies (50 papers), Plant Molecular Biology Research (18 papers), CRISPR and Genetic Engineering (15 papers), Chromosomal and Genetic Variations (13 papers), Plant tissue culture and regeneration (11 papers), Plant-Microbe Interactions and Immunity (7 papers), Plant and Fungal Interactions Research (6 papers) and Transgenic Plants and Applications (5 papers). The work is most often cited by research in Endocrinology (724 citations), Plant Science (3.1k citations), Horticulture (61 citations), Biotechnology (260 citations) and Molecular Biology (2.0k citations). Michael Wassenegger has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Heinz L. Sänger, Gabi Krczal, Athanasios Dalakouras, Thierry Pélissier, Elena Dadami, Aline Koch, Marcel Prins, Margit Laimer, Jörg Schubert and Mark Tepfer. Their work appears in journals such as Plant Molecular Biology, The Plant Journal, Biological Chemistry, Frontiers in Plant Science and RNA Biology.
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.