Andreas H. Göller
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods 25
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism 7
- Organic Chemistry top 5%
- Synthesis and Properties of Aromatic Compounds 4
- Organophosphorus compounds synthesis 4
- Spectroscopy top 5%
- Analytical Chemistry and Chromatography 6
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- Machine Learning in Materials Science 13
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- Metabolomics and Mass Spectrometry Studies 7
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- Advanced Chemical Physics Studies 5
- Co-authors
- U.‐W. GrummtGisbert SchneiderTimothy ClarkAlexander HillischRobert C. GlenBernard TestaIan D. WilsonJens Kunze
- Journals
- Angewandte Chemie International Edition (1 paper)The Journal of Physical Chemistry B (1 paper)Nature Reviews Drug Discovery (1 paper)
- Partner nations
- GermanySwitzerlandDenmark
In The Last Decade
Andreas H. Göller
56 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Computational Theory and Mathematics 675
- Pharmacology 249
- Organic Chemistry 519
- Physical and Theoretical Chemistry 145
- Spectroscopy 241
Countries citing papers authored by Andreas H. Göller
This map shows the geographic impact of Andreas H. Göller'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 H. Göller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas H. Göller more than expected).
Fields of papers citing papers by Andreas H. Göller
This network shows the impact of papers produced by Andreas H. Göller. 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 H. Göller. The network helps show where Andreas H. Göller may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andreas H. Göller, 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 | 2025 | 2 | |
| 2 | 2024 | 8 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 14 | |
| 7 | 2022 | 6 | |
| 8 | 2021 | 4 | |
| 9 | 2021 | 22 | |
| 10 | 2020 | 119 | |
| 11 | 2016 | 7 | |
| 12 | Predicting drug metabolism: experiment and/or computation?breakdown → | 2015 | 359 |
| 13 | 2015 | 27 | |
| 14 | 2014 | 6 | |
| 15 | 2014 | 78 | |
| 16 | 2011 | 12 | |
| 17 | 2011 | 35 | |
| 18 | 2009 | 57 | |
| 19 | 2008 | 22 | |
| 20 | 1998 | 9 |
About Andreas H. Göller
Andreas H. Göller is a scholar working on Computational Theory and Mathematics, Pharmacology and Physical and Theoretical Chemistry, having authored 56 papers that have together received 1.7k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (25 papers), Machine Learning in Materials Science (13 papers), Metabolomics and Mass Spectrometry Studies (7 papers), Pharmacogenetics and Drug Metabolism (7 papers), Analytical Chemistry and Chromatography (6 papers), Advanced Chemical Physics Studies (5 papers), Synthesis and Properties of Aromatic Compounds (4 papers) and Organophosphorus compounds synthesis (4 papers). The work is most often cited by research in Computational Theory and Mathematics (675 citations), Pharmacology (249 citations) and Organic Chemistry (519 citations). Andreas H. Göller has collaborated with scholars based in Germany, Switzerland and Denmark. Frequent co-authors include U.‐W. Grummt, Gisbert Schneider, Timothy Clark, Alexander Hillisch, Robert C. Glen, Bernard Testa, Ian D. Wilson, Jens Kunze, Johannes Kirchmair and Dieter Lang. Their work appears in journals such as Angewandte Chemie International Edition, The Journal of Physical Chemistry B and Nature Reviews Drug 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.