Eva Schäfer
Impact in
- Endocrinology top 5%
- Molecular Medicine top 5%
Papers in
-
- Photosynthetic Processes and Mechanisms 6
- Mitochondrial Function and Pathology 6
- ATP Synthase and ATPases Research 5
- RNA and protein synthesis mechanisms 2
- Genetics 3
- Bacterial Genetics and Biotechnology 3
- Co-authors
- Janet Vonck (4 shared papers)Helen R. Saibil (3 shared papers)Norbert A. Dencher (5 shared papers)Tim Clausen (1 shared paper)Michael Ehrmann (1 shared paper)Justyna Sawa‐Makarska (1 shared paper)Holger Seelert (4 shared papers)T. Krojer (1 shared paper)
- Journals
- Biochimica et Biophysica Acta (BBA) - Bioenergetics (3 papers)Biochemistry (1 paper)Proceedings of the National Academy of Sciences (1 paper)Biochimica et Biophysica Acta (BBA) - Molecular Cell Research (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- GermanyUnited KingdomAustria
In The Last Decade
Eva Schäfer
9 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 91
- Endocrinology 148
- Molecular Medicine 85
- Clinical Biochemistry 95
- Molecular Biology 925
- Genetics 277
Countries citing papers authored by Eva Schäfer
This map shows the geographic impact of Eva Schäfer'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 Schäfer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Schäfer more than expected).
Fields of papers citing papers by Eva Schäfer
This network shows the impact of papers produced by Eva Schäfer. 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 Schäfer. The network helps show where Eva Schäfer may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Schäfer, 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 | 2008 | 315 | |
| 2 | 2009 | 254 | |
| 3 | 2006 | 237 | |
| 4 | 2008 | 140 | |
| 5 | 2007 | 134 | |
| 6 | 2009 | 77 | |
| 7 | 2009 | 48 | |
| 8 | 2011 | 44 | |
| 9 | 2004 | 32 |
About Eva Schäfer
Eva Schäfer is a scholar working on Molecular Biology, Genetics, Cell Biology, Endocrinology and Biophysics, having authored 9 papers that have together received 1.3k indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (6 papers), Mitochondrial Function and Pathology (6 papers), ATP Synthase and ATPases Research (5 papers), Bacterial Genetics and Biotechnology (3 papers), RNA and protein synthesis mechanisms (2 papers), Enzyme Structure and Function (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper) and Legionella and Acanthamoeba research (1 paper). The work is most often cited by research in Endocrinology (148 citations), Molecular Medicine (85 citations), Clinical Biochemistry (95 citations), Molecular Biology (925 citations) and Genetics (277 citations). Eva Schäfer has collaborated with scholars based in Germany, United Kingdom and Austria. Frequent co-authors include Janet Vonck, Helen R. Saibil, Norbert A. Dencher, Tim Clausen, Michael Ehrmann, Justyna Sawa‐Makarska, Holger Seelert, T. Krojer, Frank Krause and Luchun Wang. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Bioenergetics, Biochemistry, Proceedings of the National Academy of Sciences, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research and Journal of Biological Chemistry.
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.