Anja Stefanski
Impact in
- Geriatrics and Gerontology top 5%
- Sirtuins and Resveratrol in Medicine
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- MicroRNA in disease regulation
Papers in
-
- Mitochondrial Function and Pathology 5
- Photosynthetic Processes and Mechanisms 4
- Ubiquitin and proteasome pathways 2
- Co-authors
- Kai Stühler (26 shared papers)Helmut E. Meyer (3 shared papers)Andreas S. Reichert (4 shared papers)Björn Stork (4 shared papers)Roland P. Piekorz (3 shared papers)Yusuf Akhter (1 shared paper)Young‐Hwa Song (1 shared paper)Matthias Wilmanns (1 shared paper)
- Journals
- Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics (3 papers)FEBS Journal (2 papers)Biomedical Materials (1 paper)PLoS ONE (1 paper)Journal of Neuro-Oncology (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Anja Stefanski
32 papers receiving 720 citations
Peers
Comparison fields: 5 of 93
- Geriatrics and Gerontology 77
- Cancer Research 92
- Molecular Biology 446
- Physiology 26
- Epidemiology 169
Countries citing papers authored by Anja Stefanski
This map shows the geographic impact of Anja Stefanski'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 Anja Stefanski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anja Stefanski more than expected).
Fields of papers citing papers by Anja Stefanski
This network shows the impact of papers produced by Anja Stefanski. 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 Anja Stefanski. The network helps show where Anja Stefanski may publish in the future.
Co-authors
The 25 scholars most cited alongside Anja Stefanski, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 114 | |
| 2 | 2010 | 87 | |
| 3 | 2020 | 59 | |
| 4 | 2016 | 51 | |
| 5 | 2019 | 41 | |
| 6 | 2020 | 34 | |
| 7 | 2013 | 33 | |
| 8 | 2021 | 30 | |
| 9 | 2012 | 26 | |
| 10 | 2020 | 26 | |
| 11 | 2019 | 25 | |
| 12 | 2014 | 24 | |
| 13 | 2016 | 22 | |
| 14 | 2003 | 21 | |
| 15 | 2014 | 19 | |
| 16 | 2021 | 14 | |
| 17 | 2013 | 13 | |
| 18 | 2019 | 11 | |
| 19 | 2013 | 11 | |
| 20 | 2018 | 11 |
About Anja Stefanski
Anja Stefanski is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Surgery and Genetics, having authored 33 papers that have together received 725 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (5 papers), Autophagy in Disease and Therapy (4 papers), Photosynthetic Processes and Mechanisms (4 papers), Advanced Proteomics Techniques and Applications (3 papers), Glioma Diagnosis and Treatment (3 papers), Ubiquitin and proteasome pathways (2 papers), Testicular diseases and treatments (2 papers) and Lipid metabolism and biosynthesis (2 papers). The work is most often cited by research in Geriatrics and Gerontology (77 citations), Cancer Research (92 citations), Molecular Biology (446 citations), Physiology (26 citations) and Epidemiology (169 citations). Anja Stefanski has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Kai Stühler, Helmut E. Meyer, Andreas S. Reichert, Björn Stork, Roland P. Piekorz, Yusuf Akhter, Young‐Hwa Song, Matthias Wilmanns, Christian Poulsen and Gerold Schmitt‐Ulms. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics, FEBS Journal, Biomedical Materials, PLoS ONE and Journal of Neuro-Oncology.
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.