Martin Weisel
Impact in
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- Computational Drug Discovery Methods
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- Computer Graphics and Visualization Techniques
Papers in
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- Computational Drug Discovery Methods 11
- Virology 1
- HIV Research and Treatment 1
- Co-authors
- Gisbert Schneider (10 shared papers)Ewgenij Proschak (4 shared papers)Jan M. Kriegl (5 shared papers)Felix Reisen (3 shared papers)Tim Geppert (2 shared papers)Rama K. Kondru (2 shared papers)W. Venus So (2 shared papers)Klaus Cichutek (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (2 papers)Journal of Chemical Information and Modeling (1 paper)European Journal of Organic Chemistry (1 paper)Journal of Proteome Research (1 paper)Pest Management Science (1 paper)
- Partner nations
- GermanySwitzerlandAustria
In The Last Decade
Martin Weisel
17 papers receiving 570 citations
Peers
Comparison fields: 5 of 55
- Computational Theory and Mathematics 340
- Computer Graphics and Computer-Aided Design 20
- Molecular Biology 234
- Virology 16
- Organic Chemistry 40
Countries citing papers authored by Martin Weisel
This map shows the geographic impact of Martin Weisel'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 Martin Weisel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Weisel more than expected).
Fields of papers citing papers by Martin Weisel
This network shows the impact of papers produced by Martin Weisel. 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 Martin Weisel. The network helps show where Martin Weisel may publish in the future.
Co-authors
The 25 scholars most cited alongside Martin Weisel, 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 | 2007 | 282 | |
| 2 | 2011 | 43 | |
| 3 | 2009 | 40 | |
| 4 | 2009 | 37 | |
| 5 | 2013 | 35 | |
| 6 | 2014 | 28 | |
| 7 | 2013 | 26 | |
| 8 | 2010 | 24 | |
| 9 | 2012 | 21 | |
| 10 | 2010 | 20 | |
| 11 | 2008 | 17 | |
| 12 | 2024 | 12 | |
| 13 | 2010 | 9 | |
| 14 | 2019 | 8 | |
| 15 | 2013 | 4 | |
| 16 | 2009 | 2 | |
| 17 | 2025 | 1 |
About Martin Weisel
Martin Weisel is a scholar working on Computational Theory and Mathematics, Virology, Sensory Systems, Molecular Biology and Plant Science, having authored 17 papers that have together received 609 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), Insect Pest Control Strategies (2 papers), Cell death mechanisms and regulation (2 papers), Nicotinic Acetylcholine Receptors Study (2 papers), Structural and Chemical Analysis of Organic and Inorganic Compounds (1 paper), Insect Resistance and Genetics (1 paper), HIV Research and Treatment (1 paper) and Ion Channels and Receptors (1 paper). The work is most often cited by research in Computational Theory and Mathematics (340 citations), Computer Graphics and Computer-Aided Design (20 citations), Molecular Biology (234 citations), Virology (16 citations) and Organic Chemistry (40 citations). Martin Weisel has collaborated with scholars based in Germany, Switzerland and Austria. Frequent co-authors include Gisbert Schneider, Ewgenij Proschak, Jan M. Kriegl, Felix Reisen, Tim Geppert, Rama K. Kondru, W. Venus So, Klaus Cichutek, Benjamin Stauch and Henning Hofmann. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Chemical Information and Modeling, European Journal of Organic Chemistry, Journal of Proteome Research and Pest Management Science.
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.