Michael Wassenegger

5.2k total citations · 1 hit paper
57 papers, 3.7k citations indexed

About

Michael Wassenegger is a scholar working on Plant Science, Molecular Biology and Endocrinology. According to data from OpenAlex, Michael Wassenegger has authored 57 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Plant Science, 34 papers in Molecular Biology and 6 papers in Endocrinology. Recurrent topics in Michael Wassenegger's work include Plant Virus Research Studies (50 papers), Plant Molecular Biology Research (18 papers) and CRISPR and Genetic Engineering (15 papers). Michael Wassenegger is often cited by papers focused on Plant Virus Research Studies (50 papers), Plant Molecular Biology Research (18 papers) and CRISPR and Genetic Engineering (15 papers). Michael Wassenegger collaborates with scholars based in Germany, United States and France. Michael Wassenegger's 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 and has published in prestigious journals such as Cell, The EMBO Journal and The Plant Cell.

In The Last Decade

Michael Wassenegger

56 papers receiving 3.6k citations

Hit Papers

RNA-directed de novo methylation of genomic sequences in ... 1994 2026 2004 2015 1994 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. RNA-directed de novo methylation of genomic sequences in plants
    1994 672 citations Michael Wassenegger, Heinz L. Sänger et al. Cell profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael Wassenegger Germany 27 3.1k 2.0k 724 299 260 57 3.7k
Rui Lu United States 17 2.3k 0.8× 1.2k 0.6× 479 0.7× 512 1.7× 232 0.9× 25 3.1k
Shyi‐Dong Yeh Taiwan 32 2.9k 0.9× 1.4k 0.7× 758 1.0× 525 1.8× 494 1.9× 128 3.1k
György Szittya Hungary 22 3.0k 1.0× 1.5k 0.7× 680 0.9× 353 1.2× 160 0.6× 34 3.4k
Tony J. Lough New Zealand 16 2.5k 0.8× 1.5k 0.7× 296 0.4× 164 0.5× 249 1.0× 23 2.9k
Manfred Heinlein France 36 3.3k 1.1× 1.1k 0.6× 529 0.7× 268 0.9× 273 1.1× 92 3.7k
Dániel Silhavy Hungary 21 1.9k 0.6× 1.4k 0.7× 603 0.8× 354 1.2× 218 0.8× 40 2.7k
Jean‐François Laliberté Canada 36 3.2k 1.0× 1.3k 0.6× 838 1.2× 410 1.4× 339 1.3× 68 4.0k
Mikhail M. Pooggin Switzerland 31 2.5k 0.8× 940 0.5× 834 1.2× 431 1.4× 184 0.7× 64 2.8k
Dominique Robertson United States 28 3.6k 1.2× 2.4k 1.2× 710 1.0× 470 1.6× 569 2.2× 54 4.6k
Tibor Csorba Hungary 19 2.2k 0.7× 1.2k 0.6× 747 1.0× 402 1.3× 123 0.5× 27 2.7k

Countries citing papers authored by Michael Wassenegger

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Michael Wassenegger

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Wassenegger. A scholar is included among the top collaborators of Michael Wassenegger 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 Michael Wassenegger. Michael Wassenegger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zimmermann, Elke, et al.. (2024). Pospiviroidae and potato virus M co-infections in solanaceous ornamentals: an update. Acta Horticulturae. 53–66.
2.
Eini, Omid, et al.. (2023). Beet Curly Top Iran Virus Rep and V2 Suppress Post-Transcriptional Gene Silencing via Distinct Modes of Action. Viruses. 15(10). 1996–1996. 2 indexed citations
3.
Uslu, Veli Vural, et al.. (2021). High‐pressure sprayed siRNAs influence the efficiency but not the profile of transitive silencing. The Plant Journal. 109(5). 1199–1212. 11 indexed citations
4.
Jarausch, W., et al.. (2018). RNAi-mediated control of spotted wing drosophila (Drosophila suzukii): efficacy challenges and biosafety considerations.. 131. 51–55. 1 indexed citations
5.
Dalakouras, Athanasios, et al.. (2018). Delivery of Hairpin RNAs and Small RNAs Into Woody and Herbaceous Plants by Trunk Injection and Petiole Absorption. Frontiers in Plant Science. 9. 1253–1253. 104 indexed citations
6.
Dalakouras, Athanasios, et al.. (2016). RNA‐directed DNA methylation efficiency depends on trigger and target sequence identity. The Plant Journal. 87(2). 202–214. 17 indexed citations
7.
Dalakouras, Athanasios, John N. McMillan, Vinitha Cardoza, et al.. (2016). Induction of Silencing in Plants by High-Pressure Spraying of In vitro-Synthesized Small RNAs. Frontiers in Plant Science. 7. 1327–1327. 116 indexed citations
8.
Dalakouras, Athanasios, Elena Dadami, & Michael Wassenegger. (2013). Viroid-induced DNA methylation in plants. BioMolecular Concepts. 4(6). 557–565. 13 indexed citations
9.
Dadami, Elena, et al.. (2013). An endogene‐resembling transgene delays the onset of silencing and limits siRNA accumulation. FEBS Letters. 587(6). 706–710. 32 indexed citations
10.
Dalakouras, Athanasios, et al.. (2012). Transgenerational maintenance of transgene body CG but not CHG and CHH methylation. Epigenetics. 7(9). 1071–1078. 27 indexed citations
11.
Dalakouras, Athanasios, et al.. (2010). Hairpin transcription does not necessarily lead to efficient triggering of the RNAi pathway. Transgenic Research. 20(2). 293–304. 20 indexed citations
12.
Boonrod, Kajohn, Rana M. Jamous, Mirko Moser, et al.. (2010). Expression, purification and functional characterization of recombinant Zucchini yellow mosaic virus HC-Pro. Protein Expression and Purification. 75(1). 40–45. 5 indexed citations
13.
Prins, Marcel, Margit Laimer, Emanuela Noris, et al.. (2007). Strategies for antiviral resistance in transgenic plants. Molecular Plant Pathology. 9(1). 73–83. 197 indexed citations
14.
Wassenegger, Michael. (2005). The Role of the RNAi Machinery in Heterochromatin Formation. Cell. 122(1). 13–16. 151 indexed citations
15.
Qi, Yijun, et al.. (2004). Direct Role of a Viroid RNA Motif in Mediating Directional RNA Trafficking across a Specific Cellular Boundary[W]. The Plant Cell. 16(7). 1741–1752. 109 indexed citations
16.
Wassenegger, Michael. (2002). Gene silencing. International review of cytology. 219. 61–113. 20 indexed citations
17.
Oberstraß, Jürgen, et al.. (2001). Binding of IRE-BP to Its Cognate RNA Sequence: SFM Studies on a Universal RNA Backbone for the Analysis of RNA-Protein Interaction. Biological Chemistry. 382(8). 1157–1162. 5 indexed citations
18.
Wassenegger, Michael. (2000). RNA-directed DNA methylation. Plant Molecular Biology. 43(2-3). 203–220. 205 indexed citations
19.
Wassenegger, Michael, et al.. (1998). A model for RNA-mediated gene silencing in higher plants. Plant Molecular Biology. 37(2). 349–362. 171 indexed citations
20.

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.

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