Sabrina Büttner
Impact in
- Aging top 0.2%
- Genetics, Aging, and Longevity in Model Organisms
- Molecular Biology top 2%
- Fungal and yeast genetics research
- Mitochondrial Function and Pathology
- Cell death mechanisms and regulation
- DNA Repair Mechanisms
Papers in
-
- Fungal and yeast genetics research 17
- Mitochondrial Function and Pathology 17
- Cell death mechanisms and regulation 6
- Epidemiology 16
- Autophagy in Disease and Therapy 16
- Co-authors
- Frank Madeo (29 shared papers)Tobias Eisenberg (22 shared papers)Guido Kroemer (16 shared papers)Didac Carmona‐Gutiérrez (19 shared papers)Kai‐Uwe Fröhlich (7 shared papers)Stephan J. Sigrist (5 shared papers)Silke Wissing (4 shared papers)Eva Herker (3 shared papers)
In The Last Decade
Sabrina Büttner
67 papers receiving 4.8k citations
Peers
Comparison fields: 5 of 119
- Aging 631
- Molecular Biology 3.5k
- Cell Biology 757
- Biochemistry 204
- Geriatrics and Gerontology 87
Countries citing papers authored by Sabrina Büttner
This map shows the geographic impact of Sabrina Büttner'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 Sabrina Büttner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sabrina Büttner more than expected).
Fields of papers citing papers by Sabrina Büttner
This network shows the impact of papers produced by Sabrina Büttner. 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 Sabrina Büttner. The network helps show where Sabrina Büttner may publish in the future.
Co-authors
The 25 scholars most cited alongside Sabrina Büttner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 433 | |
| 2 | 2010 | 395 | |
| 3 | 2004 | 325 | |
| 4 | 2007 | 269 | |
| 5 | 2006 | 258 | |
| 6 | 2007 | 182 | |
| 7 | 1990 | 173 | |
| 8 | 2014 | 170 | |
| 9 | 2010 | 151 | |
| 10 | 2006 | 143 | |
| 11 | 2009 | 119 | |
| 12 | 2008 | 113 | |
| 13 | 2010 | 112 | |
| 14 | 2011 | 106 | |
| 15 | 2014 | 103 | |
| 16 | 2007 | 97 | |
| 17 | 2009 | 93 | |
| 18 | 2018 | 87 | |
| 19 | 2011 | 83 | |
| 20 | 2020 | 82 |
About Sabrina Büttner
Sabrina Büttner is a scholar working on Molecular Biology, Epidemiology, Cell Biology, Neurology and Aging, having authored 68 papers that have together received 4.9k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (17 papers), Mitochondrial Function and Pathology (17 papers), Autophagy in Disease and Therapy (16 papers), Endoplasmic Reticulum Stress and Disease (14 papers), Parkinson's Disease Mechanisms and Treatments (11 papers), Genetics, Aging, and Longevity in Model Organisms (9 papers), Cell death mechanisms and regulation (6 papers) and Genetic Neurodegenerative Diseases (6 papers). The work is most often cited by research in Aging (631 citations), Molecular Biology (3.5k citations), Cell Biology (757 citations), Biochemistry (204 citations) and Geriatrics and Gerontology (87 citations). Sabrina Büttner has collaborated with scholars based in Austria, Sweden and Germany. Frequent co-authors include Frank Madeo, Tobias Eisenberg, Guido Kroemer, Didac Carmona‐Gutiérrez, Kai‐Uwe Fröhlich, Stephan J. Sigrist, Silke Wissing, Eva Herker, Christoph Ruckenstuhl and Andreas Aufschnaiter. Their work appears in journals such as Cell Cycle, The Journal of Cell Biology, Molecular Cell, PLoS Genetics and Cell Death and Disease.
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.