Susanne Eyrisch
Impact in
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- Computational Drug Discovery Methods
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- Endoplasmic Reticulum Stress and Disease
- Cellular transport and secretion
Papers in
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- Protein Structure and Dynamics 4
- RNA and protein synthesis mechanisms 3
- Protein Kinase Regulation and GTPase Signaling 2
- Ubiquitin and proteasome pathways 2
- Ion channel regulation and function 1
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- Monoclonal and Polyclonal Antibodies Research 2
- Co-authors
- Volkhard Helms (8 shared papers)Richard Zimmermann (2 shared papers)Mazen Ahmad (1 shared paper)Inge Schuster (1 shared paper)Rita Bernhardt (1 shared paper)Sven Lang (1 shared paper)José L. Medina‐Franco (1 shared paper)Martin Jung (1 shared paper)
- Journals
- Biochimica et Biophysica Acta (BBA) - Biomembranes (1 paper)FEBS Letters (1 paper)Journal of Computer-Aided Molecular Design (1 paper)Bioorganic & Medicinal Chemistry Letters (1 paper)Journal of Inorganic Biochemistry (1 paper)
- Partner nations
- GermanyUnited StatesIndia
In The Last Decade
Susanne Eyrisch
10 papers receiving 501 citations
Peers
Comparison fields: 5 of 68
- Computational Theory and Mathematics 123
- Cell Biology 104
- Molecular Biology 418
- Molecular Medicine 21
- Biotechnology 21
Countries citing papers authored by Susanne Eyrisch
This map shows the geographic impact of Susanne Eyrisch'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 Susanne Eyrisch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susanne Eyrisch more than expected).
Fields of papers citing papers by Susanne Eyrisch
This network shows the impact of papers produced by Susanne Eyrisch. 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 Susanne Eyrisch. The network helps show where Susanne Eyrisch may publish in the future.
Co-authors
The 25 scholars most cited alongside Susanne Eyrisch, 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 | 2010 | 184 | |
| 2 | 2007 | 171 | |
| 3 | 2008 | 46 | |
| 4 | 2011 | 33 | |
| 5 | 2012 | 20 | |
| 6 | 2009 | 19 | |
| 7 | 2009 | 18 | |
| 8 | 2011 | 10 | |
| 9 | 2013 | 4 | |
| 10 | 2008 | 2 |
About Susanne Eyrisch
Susanne Eyrisch is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cell Biology, Genetics and Materials Chemistry, having authored 10 papers that have together received 507 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (4 papers), RNA and protein synthesis mechanisms (3 papers), Bacterial Genetics and Biotechnology (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Enzyme Structure and Function (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Ubiquitin and proteasome pathways (2 papers) and Ion channel regulation and function (1 paper). The work is most often cited by research in Computational Theory and Mathematics (123 citations), Cell Biology (104 citations), Molecular Biology (418 citations), Molecular Medicine (21 citations) and Biotechnology (21 citations). Susanne Eyrisch has collaborated with scholars based in Germany, United States and India. Frequent co-authors include Volkhard Helms, Richard Zimmermann, Mazen Ahmad, Inge Schuster, Rita Bernhardt, Sven Lang, José L. Medina‐Franco, Martin Jung, Frank Erdmann and Richard Wagner. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Biomembranes, FEBS Letters, Journal of Computer-Aided Molecular Design, Bioorganic & Medicinal Chemistry Letters and Journal of Inorganic Biochemistry.
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.