Christiane Bies
Impact in
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease
- Pharmaceutical Science top 5%
- Advanced Drug Delivery Systems
Papers in
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- Signaling Pathways in Disease 2
- RNA and protein synthesis mechanisms 1
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- Endoplasmic Reticulum Stress and Disease 3
- Co-authors
- Claus‐Michael Lehr (2 shared papers)John F. Woodley (1 shared paper)Richard Zimmermann (5 shared papers)Jens Tyedmers (2 shared papers)Wolfgang Nastainczyk (3 shared papers)Jörg Volkmer (2 shared papers)Johanna Dudek (2 shared papers)Martin Jung (2 shared papers)
- Journals
- Biological Chemistry (2 papers)Molecular Cell (1 paper)Pulmonary Pharmacology & Therapeutics (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- GermanySouth AfricaFrance
In The Last Decade
Christiane Bies
7 papers receiving 748 citations
Peers
Comparison fields: 5 of 74
- Cell Biology 240
- Pharmaceutical Science 85
- Molecular Biology 527
- Immunology 148
- Biomaterials 69
Countries citing papers authored by Christiane Bies
This map shows the geographic impact of Christiane Bies'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 Christiane Bies with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christiane Bies more than expected).
Fields of papers citing papers by Christiane Bies
This network shows the impact of papers produced by Christiane Bies. 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 Christiane Bies. The network helps show where Christiane Bies may publish in the future.
Co-authors
The 20 scholars most cited alongside Christiane Bies, 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 | 2003 | 326 | |
| 2 | 2000 | 135 | |
| 3 | 2003 | 93 | |
| 4 | 2003 | 80 | |
| 5 | 2005 | 59 | |
| 6 | 1999 | 41 | |
| 7 | 2004 | 31 |
About Christiane Bies
Christiane Bies is a scholar working on Molecular Biology, Cell Biology, Surgery, Pulmonary and Respiratory Medicine and Computational Theory and Mathematics, having authored 7 papers that have together received 765 indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (3 papers), Signaling Pathways in Disease (2 papers), Pancreatic function and diabetes (1 paper), Insect and Pesticide Research (1 paper), Galectins and Cancer Biology (1 paper), Computational Drug Discovery Methods (1 paper), RNA and protein synthesis mechanisms (1 paper) and Toxin Mechanisms and Immunotoxins (1 paper). The work is most often cited by research in Cell Biology (240 citations), Pharmaceutical Science (85 citations), Molecular Biology (527 citations), Immunology (148 citations) and Biomaterials (69 citations). Christiane Bies has collaborated with scholars based in Germany, South Africa and France. Frequent co-authors include Claus‐Michael Lehr, John F. Woodley, Richard Zimmermann, Jens Tyedmers, Wolfgang Nastainczyk, Jörg Volkmer, Johanna Dudek, Martin Jung, Ingrid G. Haas and Markus H. Skowronek. Their work appears in journals such as Biological Chemistry, Molecular Cell, Pulmonary Pharmacology & Therapeutics, Proceedings of the National Academy of Sciences 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.