Gerhard Wolber
Impact in
- Computational Theory and Mathematics top 0.05%
- Computational Drug Discovery Methods
- Pharmacology top 0.2%
- Microbial Natural Products and Biosynthesis
- Pharmacogenetics and Drug Metabolism
Papers in
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- Receptor Mechanisms and Signaling 37
- Chemical Synthesis and Analysis 20
- Protein Structure and Dynamics 20
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- Computational Drug Discovery Methods 57
- Co-authors
- Thierry Langer (24 shared papers)Johannes Kirchmair (24 shared papers)Marcel Bermúdez (37 shared papers)Patrick Markt (20 shared papers)Daniela Schuster (32 shared papers)Simona Distinto (12 shared papers)Jérémie Mortier (24 shared papers)Christian Laggner (13 shared papers)
In The Last Decade
Gerhard Wolber
209 papers receiving 7.8k citations
Gerhard Wolber's Hit Papers
Peers
Comparison fields: 5 of 149
- Computational Theory and Mathematics 2.7k
- Pharmacology 758
- Toxicology 233
- Molecular Biology 4.5k
- Organic Chemistry 1.8k
Countries citing papers authored by Gerhard Wolber
This map shows the geographic impact of Gerhard Wolber'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 Gerhard Wolber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerhard Wolber more than expected).
Fields of papers citing papers by Gerhard Wolber
This network shows the impact of papers produced by Gerhard Wolber. 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 Gerhard Wolber. The network helps show where Gerhard Wolber may publish in the future.
Co-authors
The 25 scholars most cited alongside Gerhard Wolber, 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 218 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | LigandScout: 3-D Pharmacophores Derived from Protein-Bound Ligands and Their Use as Virtual Screening Filters Hit paper breakdown → | 2004 | 1482 |
| 2 | 2008 | 338 | |
| 3 | 2010 | 286 | |
| 4 | 2006 | 243 | |
| 5 | 2007 | 213 | |
| 6 | 2015 | 173 | |
| 7 | 2020 | 167 | |
| 8 | 2009 | 163 | |
| 9 | 2006 | 122 | |
| 10 | 2014 | 121 | |
| 11 | 2006 | 116 | |
| 12 | 2005 | 106 | |
| 13 | 2015 | 102 | |
| 14 | 2009 | 99 | |
| 15 | 2008 | 91 | |
| 16 | 2010 | 90 | |
| 17 | 2009 | 82 | |
| 18 | 2016 | 79 | |
| 19 | 2013 | 71 | |
| 20 | 2008 | 69 |
About Gerhard Wolber
Gerhard Wolber is a scholar working on Molecular Biology, Computational Theory and Mathematics, Pharmacology, Organic Chemistry and Cellular and Molecular Neuroscience, having authored 218 papers that have together received 8.0k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (57 papers), Receptor Mechanisms and Signaling (37 papers), Neuropeptides and Animal Physiology (23 papers), Pharmacogenetics and Drug Metabolism (22 papers), Chemical Synthesis and Analysis (20 papers), Protein Structure and Dynamics (20 papers), Monoclonal and Polyclonal Antibodies Research (17 papers) and Immune Response and Inflammation (15 papers). The work is most often cited by research in Computational Theory and Mathematics (2.7k citations), Pharmacology (758 citations), Toxicology (233 citations), Molecular Biology (4.5k citations) and Organic Chemistry (1.8k citations). Gerhard Wolber has collaborated with scholars based in Germany, Austria and Italy. Frequent co-authors include Thierry Langer, Johannes Kirchmair, Marcel Bermúdez, Patrick Markt, Daniela Schuster, Simona Distinto, Jérémie Mortier, Christian Laggner, Manuela S. Murgueitio and Christin Rakers. Their work appears in journals such as European Journal of Medicinal Chemistry, Journal of Chemical Information and Modeling, Journal of Medicinal Chemistry, ChemMedChem and Bioorganic & Medicinal 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.