Alexander Böcker
Impact in
- Geriatrics and Gerontology top 10%
- Sirtuins and Resveratrol in Medicine
-
- Computational Drug Discovery Methods
Papers in ⓘ
-
- Histone Deacetylase Inhibitors Research 3
- Protein Degradation and Inhibitors 2
- Metabolomics and Mass Spectrometry Studies 2
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- Computational Drug Discovery Methods 7
- Co-authors
- Gisbert Schneider (6 shared papers)Ulrich M. Lauer (5 shared papers)Andreas Teckentrup (3 shared papers)Sascha Venturelli (5 shared papers)Michael Bitzer (3 shared papers)Christian Busch (4 shared papers)Christian Leischner (4 shared papers)Seema Noor (3 shared papers)
- Journals
- Journal of Chemical Information and Modeling (3 papers)ChemMedChem (2 papers)PLoS ONE (1 paper)Molecular Pharmaceutics (1 paper)SLAS DISCOVERY (1 paper)
- Partner nations
- GermanyUnited StatesCanada
In The Last Decade
Alexander Böcker
18 papers receiving 722 citations
Peers
Comparison fields: 5 of 98
- Geriatrics and Gerontology 52
- Computational Theory and Mathematics 131
- Neurology 62
- Molecular Biology 439
- Pharmacology 39
Countries citing papers authored by Alexander Böcker
This map shows the geographic impact of Alexander Böcker'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 Böcker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Böcker more than expected).
Fields of papers citing papers by Alexander Böcker
This network shows the impact of papers produced by Alexander Böcker. 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 Böcker. The network helps show where Alexander Böcker may publish in the future.
Co-authors
The 25 scholars most cited alongside Alexander Böcker, 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 | 2013 | 143 | |
| 2 | 2012 | 88 | |
| 3 | 2015 | 79 | |
| 4 | 2012 | 74 | |
| 5 | 2012 | 58 | |
| 6 | 2005 | 45 | |
| 7 | 2012 | 41 | |
| 8 | 2010 | 34 | |
| 9 | 2004 | 30 | |
| 10 | 2018 | 27 | |
| 11 | 2006 | 24 | |
| 12 | 2008 | 24 | |
| 13 | 2007 | 18 | |
| 14 | 2022 | 15 | |
| 15 | 2015 | 12 | |
| 16 | 2011 | 12 | |
| 17 | 2007 | 9 | |
| 18 | 2007 | 3 |
About Alexander Böcker
Alexander Böcker is a scholar working on Molecular Biology, Computational Theory and Mathematics, Cellular and Molecular Neuroscience, Neurology and Spectroscopy, having authored 18 papers that have together received 736 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Analytical Chemistry and Chromatography (3 papers), Histone Deacetylase Inhibitors Research (3 papers), Protein Degradation and Inhibitors (2 papers), Machine Learning in Materials Science (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), Sirtuins and Resveratrol in Medicine (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Geriatrics and Gerontology (52 citations), Computational Theory and Mathematics (131 citations), Neurology (62 citations), Molecular Biology (439 citations) and Pharmacology (39 citations). Alexander Böcker has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Gisbert Schneider, Ulrich M. Lauer, Andreas Teckentrup, Sascha Venturelli, Michael Bitzer, Christian Busch, Christian Leischner, Seema Noor, Timo Weiland and Thomas S. Weiß. Their work appears in journals such as Journal of Chemical Information and Modeling, ChemMedChem, PLoS ONE, Molecular Pharmaceutics and SLAS DISCOVERY.
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.