Eva‐Maria Weick
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Molecular Biology top 10%
- CRISPR and Genetic Engineering
- RNA Research and Splicing
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- RNA and protein synthesis mechanisms
Papers in
-
- CRISPR and Genetic Engineering 5
- RNA Research and Splicing 4
- RNA and protein synthesis mechanisms 4
- RNA modifications and cancer 3
- Advanced biosensing and bioanalysis techniques 2
- RNA regulation and disease 1
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- Chromosomal and Genetic Variations 5
- Co-authors
- Eric A. Miska (5 shared papers)Nicolas J. Lehrbach (2 shared papers)Alexandra Sapetschnig (2 shared papers)Leonard D. Goldstein (2 shared papers)Peter Sarkies (3 shared papers)Amy Cording (2 shared papers)Christopher D. Lima (4 shared papers)Jérémie Le Pen (1 shared paper)
- Journals
- Cell (3 papers)The EMBO Journal (1 paper)Current Opinion in Structural Biology (1 paper)Development (1 paper)Science (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Eva‐Maria Weick
9 papers receiving 1.4k citations
Eva‐Maria Weick's Hit Papers
Peers
Comparison fields: 5 of 63
- Aging 371
- Molecular Biology 1.2k
- Cancer Research 196
- Plant Science 525
- Genetics 150
Countries citing papers authored by Eva‐Maria Weick
This map shows the geographic impact of Eva‐Maria Weick'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 Eva‐Maria Weick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva‐Maria Weick more than expected).
Fields of papers citing papers by Eva‐Maria Weick
This network shows the impact of papers produced by Eva‐Maria Weick. 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 Eva‐Maria Weick. The network helps show where Eva‐Maria Weick may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva‐Maria Weick, 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 | piRNAs Can Trigger a Multigenerational Epigenetic Memory in the Germline of C. elegans Hit paper breakdown → | 2012 | 558 |
| 2 | 2014 | 330 | |
| 3 | 2012 | 283 | |
| 4 | 2018 | 99 | |
| 5 | 2014 | 60 | |
| 6 | 2019 | 39 | |
| 7 | 2020 | 30 | |
| 8 | 2021 | 19 | |
| 9 | 2019 | 3 |
About Eva‐Maria Weick
Eva‐Maria Weick is a scholar working on Molecular Biology, Plant Science, Aging, Infectious Diseases and Organic Chemistry, having authored 9 papers that have together received 1.4k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (5 papers), CRISPR and Genetic Engineering (5 papers), RNA Research and Splicing (4 papers), RNA and protein synthesis mechanisms (4 papers), RNA modifications and cancer (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Advanced biosensing and bioanalysis techniques (2 papers) and RNA regulation and disease (1 paper). The work is most often cited by research in Aging (371 citations), Molecular Biology (1.2k citations), Cancer Research (196 citations), Plant Science (525 citations) and Genetics (150 citations). Eva‐Maria Weick has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Eric A. Miska, Nicolas J. Lehrbach, Alexandra Sapetschnig, Leonard D. Goldstein, Peter Sarkies, Amy Cording, Christopher D. Lima, Jérémie Le Pen, Jacinth Mitchell and Shawn Ahmed. Their work appears in journals such as Cell, The EMBO Journal, Current Opinion in Structural Biology, Development and Science.
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.