Alexander L. Button
Impact in
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- Computational Drug Discovery Methods
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- Antimicrobial Peptides and Activities
Papers in
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- DNA and Nucleic Acid Chemistry 2
- Machine Learning in Bioinformatics 1
- RNA and protein synthesis mechanisms 1
- DNA Repair Mechanisms 1
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- Computational Drug Discovery Methods 4
- Co-authors
- Gisbert Schneider (4 shared papers)Daniel Merk (2 shared papers)Jan A. Hiss (3 shared papers)Michaël Moret (1 shared paper)Kenneth Atz (1 shared paper)Francesca Grisoni (1 shared paper)Petra Schneider (2 shared papers)Gernot Posselt (1 shared paper)
- Journals
- Molecular Informatics (2 papers)Science Advances (1 paper)Journal of the American Society for Mass Spectrometry (1 paper)Physical Chemistry Chemical Physics (1 paper)Nature Machine Intelligence (1 paper)
- Partner nations
- SwitzerlandNetherlandsAustralia
In The Last Decade
Alexander L. Button
7 papers receiving 245 citations
Peers
Comparison fields: 5 of 69
- Computational Theory and Mathematics 131
- Microbiology 21
- Health Informatics 4
- Molecular Biology 140
- Materials Chemistry 89
Countries citing papers authored by Alexander L. Button
This map shows the geographic impact of Alexander L. Button'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 Alexander L. Button with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander L. Button more than expected).
Fields of papers citing papers by Alexander L. Button
This network shows the impact of papers produced by Alexander L. Button. 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 Alexander L. Button. The network helps show where Alexander L. Button may publish in the future.
Co-authors
The 25 scholars most cited alongside Alexander L. Button, 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 | 2021 | 103 | |
| 2 | 2019 | 60 | |
| 3 | 2016 | 41 | |
| 4 | 2018 | 16 | |
| 5 | 2018 | 13 | |
| 6 | 2023 | 12 | |
| 7 | 2016 | 5 |
About Alexander L. Button
Alexander L. Button is a scholar working on Molecular Biology, Computational Theory and Mathematics, Pharmacology, Ophthalmology and Environmental Chemistry, having authored 7 papers that have together received 250 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), DNA and Nucleic Acid Chemistry (2 papers), Machine Learning in Bioinformatics (1 paper), Glaucoma and retinal disorders (1 paper), Microbial Natural Products and Biosynthesis (1 paper), RNA and protein synthesis mechanisms (1 paper), DNA Repair Mechanisms (1 paper) and Retinal Imaging and Analysis (1 paper). The work is most often cited by research in Computational Theory and Mathematics (131 citations), Microbiology (21 citations), Health Informatics (4 citations), Molecular Biology (140 citations) and Materials Chemistry (89 citations). Alexander L. Button has collaborated with scholars based in Switzerland, Netherlands and Australia. Frequent co-authors include Gisbert Schneider, Daniel Merk, Jan A. Hiss, Michaël Moret, Kenneth Atz, Francesca Grisoni, Petra Schneider, Gernot Posselt, Alex T. Müller and Gisela Gabernet. Their work appears in journals such as Molecular Informatics, Science Advances, Journal of the American Society for Mass Spectrometry, Physical Chemistry Chemical Physics and Nature Machine Intelligence.
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.