Sylvia E. J. Fischer
- Molecular Biology top 5%
- Cancer Research top 2%
- Plant Science top 5%
- Aging top 0.5%
- Genetics top 10%
- Co-authors
- Ronald H.A. PlasterkTitia SijenEmily BernsteinRené F. KettingGregory J. HannonGary RuvkunErno WienholdsTaiowa A. Montgomery
- Topics
- CRISPR and Genetic Engineering (18 papers)Genetics, Aging, and Longevity in Model Organisms (14 papers)Chromosomal and Genetic Variations (10 papers)
- Partner nations
- United StatesNetherlandsAustralia
In The Last Decade
Sylvia E. J. Fischer
26 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Molecular Biology 2.3k
- Cancer Research 859
- Plant Science 614
- Aging 416
- Genetics 309
Countries citing papers authored by Sylvia E. J. Fischer
This map shows the geographic impact of Sylvia E. J. Fischer'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 Sylvia E. J. Fischer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sylvia E. J. Fischer more than expected).
Fields of papers citing papers by Sylvia E. J. Fischer
This network shows the impact of papers produced by Sylvia E. J. Fischer. 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 Sylvia E. J. Fischer. The network helps show where Sylvia E. J. Fischer may publish in the future.
Co-authorship network of co-authors of Sylvia E. J. Fischer
This figure shows the co-authorship network connecting the top 25 collaborators of Sylvia E. J. Fischer. A scholar is included among the top collaborators of Sylvia E. J. Fischer 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 Sylvia E. J. Fischer. Sylvia E. J. Fischer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 36 | |
| 6 | 24 | |
| 7 | 31 | |
| 8 | 105 | |
| 9 | 48 | |
| 10 | 105 | |
| 11 | 41 | |
| 12 | 84 | |
| 13 | 147 | |
| 14 | 38 | |
| 15 | 3 | |
| 16 | 4 | |
| 17 | Dicer functions in RNA interference and in synthesis of small RNA involved in developmental timing in C. elegansbreakdown → | 1410 |
| 18 | 37 | |
| 19 | Transposable elements as tools from mutagenesis and transgenesis of vertebrates. | 2 |
| 20 | 1 |
About Sylvia E. J. Fischer
Sylvia E. J. Fischer is a scholar working on Aging, Molecular Biology and Plant Science, having authored 27 papers that have together received 2.5k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (18 papers), Genetics, Aging, and Longevity in Model Organisms (14 papers) and Chromosomal and Genetic Variations (10 papers). The work is most often cited by research in Aging (416 citations), Cancer Research (859 citations) and Molecular Biology (2.3k citations). Sylvia E. J. Fischer has collaborated with scholars based in United States, Netherlands and Australia. Frequent co-authors include Ronald H.A. Plasterk, Titia Sijen, Emily Bernstein, René F. Ketting, Gregory J. Hannon, Gary Ruvkun, Erno Wienholds, Taiowa A. Montgomery, Carolyn M. Phillips and Qi Pan. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Genes & Development.
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.