Andreas Schüller
Impact in
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- Computational Drug Discovery Methods
Papers in
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- Chemical Synthesis and Analysis 5
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- Flexible and Reconfigurable Manufacturing Systems 7
- Manufacturing Process and Optimization 5
- Co-authors
- Gisbert Schneider (8 shared papers)Francisco Melo (6 shared papers)Ewgenij Proschak (2 shared papers)Volker Hähnke (1 shared paper)Subhash G. Vasudevan (3 shared papers)Danny N.P. Doan (3 shared papers)Nibaldo C. Inestrosa (2 shared papers)Ulrich Epple (7 shared papers)
In The Last Decade
Andreas Schüller
35 papers receiving 713 citations
Peers
Comparison fields: 5 of 97
- Computational Theory and Mathematics 198
- Virology 28
- Public Health, Environmental and Occupational Health 127
- Molecular Biology 331
- Complementary and alternative medicine 36
Countries citing papers authored by Andreas Schüller
This map shows the geographic impact of Andreas Schüller'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 Andreas Schüller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Schüller more than expected).
Fields of papers citing papers by Andreas Schüller
This network shows the impact of papers produced by Andreas Schüller. 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 Andreas Schüller. The network helps show where Andreas Schüller may publish in the future.
Co-authors
The 25 scholars most cited alongside Andreas Schüller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 79 | |
| 2 | 2014 | 74 | |
| 3 | 2019 | 60 | |
| 4 | 2006 | 51 | |
| 5 | 2008 | 47 | |
| 6 | 2011 | 42 | |
| 7 | 2010 | 34 | |
| 8 | 2017 | 29 | |
| 9 | 2012 | 28 | |
| 10 | 2003 | 27 | |
| 11 | 2007 | 27 | |
| 12 | 2010 | 23 | |
| 13 | 2014 | 23 | |
| 14 | 2021 | 20 | |
| 15 | 2007 | 19 | |
| 16 | 2015 | 19 | |
| 17 | 2006 | 16 | |
| 18 | 2008 | 15 | |
| 19 | 2012 | 15 | |
| 20 | 2012 | 13 |
About Andreas Schüller
Andreas Schüller is a scholar working on Molecular Biology, Industrial and Manufacturing Engineering, Computational Theory and Mathematics, Management Information Systems and Materials Chemistry, having authored 37 papers that have together received 723 indexed citations. Recurring topics across this work include Flexible and Reconfigurable Manufacturing Systems (7 papers), Computational Drug Discovery Methods (7 papers), Business Process Modeling and Analysis (5 papers), Manufacturing Process and Optimization (5 papers), Chemical Synthesis and Analysis (5 papers), Malaria Research and Control (3 papers), Sirtuins and Resveratrol in Medicine (3 papers) and Mosquito-borne diseases and control (3 papers). The work is most often cited by research in Computational Theory and Mathematics (198 citations), Virology (28 citations), Public Health, Environmental and Occupational Health (127 citations), Molecular Biology (331 citations) and Complementary and alternative medicine (36 citations). Andreas Schüller has collaborated with scholars based in Germany, Chile and Singapore. Frequent co-authors include Gisbert Schneider, Francisco Melo, Ewgenij Proschak, Volker Hähnke, Subhash G. Vasudevan, Danny N.P. Doan, Nibaldo C. Inestrosa, Ulrich Epple, Markus Hartenfeller and C. S. Brian Chia. Their work appears in journals such as Antiviral Research, International Journal of Molecular Sciences, Bioinformatics, Journal of Chemical Information and Modeling and Journal of Computer-Aided Molecular Design.
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.