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 5
- Chemical Synthesis and Analysis 4
- RNA and protein synthesis mechanisms 2
- Peroxisome Proliferator-Activated Receptors 1
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- Computational Drug Discovery Methods 6
- 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)Carsten Münk (1 shared paper)Benjamin Stauch (1 shared paper)W. Venus So (2 shared papers)
- Journals
- Molecular Informatics (2 papers)European Journal of Organic Chemistry (1 paper)Pest Management Science (1 paper)Chemical Science (1 paper)PROTEOMICS (1 paper)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Martin Weisel
15 papers receiving 535 citations
Peers
Comparison fields: 5 of 77
- Computational Theory and Mathematics 290
- Molecular Biology 393
- Virology 19
- Pharmacology 49
- Radiology, Nuclear Medicine and Imaging 61
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 | 286 | |
| 2 | 2009 | 39 | |
| 3 | 2009 | 38 | |
| 4 | 2011 | 36 | |
| 5 | 2014 | 26 | |
| 6 | 2010 | 24 | |
| 7 | 2012 | 21 | |
| 8 | 2010 | 20 | |
| 9 | 2008 | 17 | |
| 10 | 2024 | 11 | |
| 11 | 2010 | 9 | |
| 12 | 2019 | 8 | |
| 13 | 2011 | 6 | |
| 14 | 2013 | 4 | |
| 15 | 2009 | 3 | |
| 16 | 2025 | 0 |
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 16 papers that have together received 548 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Protein Structure and Dynamics (5 papers), Chemical Synthesis and Analysis (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), interferon and immune responses (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), RNA and protein synthesis mechanisms (2 papers) and Peroxisome Proliferator-Activated Receptors (1 paper). The work is most often cited by research in Computational Theory and Mathematics (290 citations), Molecular Biology (393 citations), Virology (19 citations), Pharmacology (49 citations) and Radiology, Nuclear Medicine and Imaging (61 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, Carsten Münk, Benjamin Stauch, W. Venus So, Mario Perković and Henning Hofmann. Their work appears in journals such as Molecular Informatics, European Journal of Organic Chemistry, Pest Management Science, Chemical Science and PROTEOMICS.
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.