Volker A. Eyrich
Impact in
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- Protein Structure and Dynamics
- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- Glycosylation and Glycoproteins Research
- Microbial Metabolic Engineering and Bioproduction
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- Computational Drug Discovery Methods
Papers in
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- Protein Structure and Dynamics 10
- Machine Learning in Bioinformatics 4
- RNA and protein synthesis mechanisms 2
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- Enzyme Structure and Function 8
- Co-authors
- Burkhard Rost (4 shared papers)Daron M. Standley (4 shared papers)Richard A. Friesner (4 shared papers)Florencio Pazos (3 shared papers)Alfonso Valencia (3 shared papers)Dariusz Przybylski (2 shared papers)M. S. Madhusudhan (1 shared paper)András Fiser (1 shared paper)
- Journals
- Proteins Structure Function and Bioinformatics (6 papers)Nucleic Acids Research (2 papers)Journal of Molecular Biology (2 papers)Journal of Chemical Information and Modeling (1 paper)Bioinformatics (1 paper)
- Partner nations
- United StatesSpainPoland
In The Last Decade
Volker A. Eyrich
12 papers receiving 445 citations
Peers
Comparison fields: 5 of 48
- Molecular Biology 410
- Computational Theory and Mathematics 69
- Materials Chemistry 199
- Spectroscopy 30
- Structural Biology 2
Countries citing papers authored by Volker A. Eyrich
This map shows the geographic impact of Volker A. Eyrich'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 Volker A. Eyrich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Volker A. Eyrich more than expected).
Fields of papers citing papers by Volker A. Eyrich
This network shows the impact of papers produced by Volker A. Eyrich. 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 Volker A. Eyrich. The network helps show where Volker A. Eyrich may publish in the future.
Co-authors
The 25 scholars most cited alongside Volker A. Eyrich, 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 | 2001 | 153 | |
| 2 | 2001 | 94 | |
| 3 | 1999 | 41 | |
| 4 | 1999 | 38 | |
| 5 | 1999 | 26 | |
| 6 | 2022 | 22 | |
| 7 | 2003 | 22 | |
| 8 | 2007 | 19 | |
| 9 | 2005 | 16 | |
| 10 | 2001 | 16 | |
| 11 | 2003 | 9 | |
| 12 | 2005 | 1 |
About Volker A. Eyrich
Volker A. Eyrich is a scholar working on Molecular Biology, Materials Chemistry, Spectroscopy, Organic Chemistry and Computational Theory and Mathematics, having authored 12 papers that have together received 457 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (10 papers), Enzyme Structure and Function (8 papers), Machine Learning in Bioinformatics (4 papers), RNA and protein synthesis mechanisms (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Genomics and Rare Diseases (1 paper), Click Chemistry and Applications (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Molecular Biology (410 citations), Computational Theory and Mathematics (69 citations), Materials Chemistry (199 citations), Spectroscopy (30 citations) and Structural Biology (2 citations). Volker A. Eyrich has collaborated with scholars based in United States, Spain and Poland. Frequent co-authors include Burkhard Rost, Daron M. Standley, Richard A. Friesner, Florencio Pazos, Alfonso Valencia, Dariusz Przybylski, M. S. Madhusudhan, András Fiser, Marc A. Martı́-Renom and Andrej Šali. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Nucleic Acids Research, Journal of Molecular Biology, Journal of Chemical Information and Modeling and Bioinformatics.
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.