Anneke Brümmer
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- RNA Research and Splicing
- RNA modifications and cancer
- RNA regulation and disease
- RNA and protein synthesis mechanisms
- Circular RNAs in diseases
- RNA Interference and Gene Delivery
Papers in
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- RNA Research and Splicing 8
- RNA and protein synthesis mechanisms 4
- RNA modifications and cancer 4
- RNA regulation and disease 3
- CRISPR and Genetic Engineering 3
- DNA Repair Mechanisms 1
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- MicroRNA in disease regulation 3
- Cancer-related molecular mechanisms research 3
- Co-authors
- Jean Hausser (1 shared paper)Xinshu Xiao (3 shared papers)Mihaela Zavolan (4 shared papers)Shivendra Kishore (2 shared papers)Jonathan Hall (3 shared papers)Yun Yang (1 shared paper)Nitish Mittal (1 shared paper)Boris Guennewig (1 shared paper)
- Journals
- Nature Communications (2 papers)Communications Biology (1 paper)Nature Chemical Biology (1 paper)BioEssays (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- SwitzerlandUnited StatesSouth Africa
In The Last Decade
Anneke Brümmer
14 papers receiving 638 citations
Peers
Comparison fields: 5 of 67
- Cancer Research 267
- Molecular Biology 545
- Aging 11
- Genetics 49
- Cell Biology 24
Countries citing papers authored by Anneke Brümmer
This map shows the geographic impact of Anneke Brümmer'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 Anneke Brümmer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anneke Brümmer more than expected).
Fields of papers citing papers by Anneke Brümmer
This network shows the impact of papers produced by Anneke Brümmer. 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 Anneke Brümmer. The network helps show where Anneke Brümmer may publish in the future.
Co-authors
The 25 scholars most cited alongside Anneke Brümmer, 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 | 2014 | 155 | |
| 2 | 2014 | 148 | |
| 3 | 2019 | 104 | |
| 4 | 2017 | 68 | |
| 5 | 2010 | 33 | |
| 6 | 2010 | 30 | |
| 7 | 2016 | 25 | |
| 8 | 2013 | 19 | |
| 9 | 2015 | 16 | |
| 10 | 2021 | 14 | |
| 11 | 2014 | 11 | |
| 12 | 2019 | 9 | |
| 13 | 2021 | 6 | |
| 14 | 2024 | 2 |
About Anneke Brümmer
Anneke Brümmer is a scholar working on Molecular Biology, Cancer Research, Genetics, Pharmacology and Cell Biology, having authored 14 papers that have together received 640 indexed citations. Recurring topics across this work include RNA Research and Splicing (8 papers), RNA and protein synthesis mechanisms (4 papers), RNA modifications and cancer (4 papers), MicroRNA in disease regulation (3 papers), RNA regulation and disease (3 papers), CRISPR and Genetic Engineering (3 papers), Cancer-related molecular mechanisms research (3 papers) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Cancer Research (267 citations), Molecular Biology (545 citations), Aging (11 citations), Genetics (49 citations) and Cell Biology (24 citations). Anneke Brümmer has collaborated with scholars based in Switzerland, United States and South Africa. Frequent co-authors include Jean Hausser, Xinshu Xiao, Mihaela Zavolan, Shivendra Kishore, Jonathan Hall, Yun Yang, Nitish Mittal, Boris Guennewig, André P. Gerber and Andreas Brunschweiger. Their work appears in journals such as Nature Communications, Communications Biology, Nature Chemical Biology, BioEssays and PLoS Computational 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.