Martin Weisel
Impact in
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- Computational Drug Discovery Methods
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- Protein Structure and Dynamics
- Chemical Synthesis and Analysis
- RNA and protein synthesis mechanisms
- Bioinformatics and Genomic Networks
Papers in
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- Protein Structure and Dynamics 6
- Chemical Synthesis and Analysis 4
- RNA and protein synthesis mechanisms 2
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- Computational Drug Discovery Methods 7
- Co-authors
- Gisbert Schneider (11 shared papers)Ewgenij Proschak (4 shared papers)Jan M. Kriegl (5 shared papers)Felix Reisen (3 shared papers)Tim Geppert (3 shared papers)Henning Hofmann (1 shared paper)Carsten Münk (1 shared paper)Klaus Cichutek (1 shared paper)
- Journals
- Molecular Informatics (2 papers)European Journal of Organic Chemistry (1 paper)Angewandte Chemie International Edition (1 paper)Chemical Science (1 paper)Journal of Proteome Research (1 paper)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Martin Weisel
15 papers receiving 503 citations
Peers
Comparison fields: 5 of 77
- Computational Theory and Mathematics 287
- Molecular Biology 399
- Virology 19
- Pharmacology 50
- Radiology, Nuclear Medicine and Imaging 54
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 | 265 | |
| 2 | 2009 | 39 | |
| 3 | 2009 | 38 | |
| 4 | 2011 | 33 | |
| 5 | 2014 | 25 | |
| 6 | 2010 | 24 | |
| 7 | 2010 | 20 | |
| 8 | 2012 | 20 | |
| 9 | 2008 | 16 | |
| 10 | 2024 | 10 | |
| 11 | 2010 | 8 | |
| 12 | 2019 | 6 | |
| 13 | 2011 | 6 | |
| 14 | 2013 | 4 | |
| 15 | 2009 | 3 |
About Martin Weisel
Martin Weisel is a scholar working on Molecular Biology, Computational Theory and Mathematics, Radiology, Nuclear Medicine and Imaging, Oncology and Immunology, having authored 15 papers that have together received 517 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Protein Structure and Dynamics (6 papers), Chemical Synthesis and Analysis (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), interferon and immune responses (2 papers), Insect and Pesticide Research (2 papers), Cytokine Signaling Pathways and Interactions (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Computational Theory and Mathematics (287 citations), Molecular Biology (399 citations), Virology (19 citations), Pharmacology (50 citations) and Radiology, Nuclear Medicine and Imaging (54 citations). Martin Weisel has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Gisbert Schneider, Ewgenij Proschak, Jan M. Kriegl, Felix Reisen, Tim Geppert, Henning Hofmann, Carsten Münk, Klaus Cichutek, Rama K. Kondru and Benjamin Stauch. Their work appears in journals such as Molecular Informatics, European Journal of Organic Chemistry, Angewandte Chemie International Edition, Chemical Science and Journal of Proteome Research.
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.