Robert Körner
Impact in
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- Computational Drug Discovery Methods
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- Pharmacogenetics and Drug Metabolism
Papers in
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- Computational Drug Discovery Methods 15
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- Metabolomics and Mass Spectrometry Studies 5
- Microbial Metabolic Engineering and Bioproduction 2
- Co-authors
- Igor V. Tetko (12 shared papers)Sergii Novotarskyi (10 shared papers)Joannis Apostolakis (3 shared papers)Matthias Rupp (3 shared papers)Iurii Sushko (7 shared papers)Anil Kumar Pandey (2 shared papers)Ahmed Abdelaziz (4 shared papers)В. В. Прокопенко (1 shared paper)
- Journals
- Journal of Cheminformatics (6 papers)Journal of Chemical Information and Modeling (4 papers)Combinatorial Chemistry & High Throughput Screening (2 papers)Molecular Informatics (1 paper)Chemical Research in Toxicology (1 paper)
- Partner nations
- Germany
In The Last Decade
Robert Körner
15 papers receiving 353 citations
Peers
Comparison fields: 5 of 70
- Computational Theory and Mathematics 264
- Pharmacology 25
- Spectroscopy 49
- Environmental Chemistry 27
- Organic Chemistry 73
Countries citing papers authored by Robert Körner
This map shows the geographic impact of Robert Körner'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 Robert Körner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Körner more than expected).
Fields of papers citing papers by Robert Körner
This network shows the impact of papers produced by Robert Körner. 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 Robert Körner. The network helps show where Robert Körner may publish in the future.
Co-authors
The 12 scholars most cited alongside Robert Körner, 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 | 2010 | 85 | |
| 2 | 2011 | 52 | |
| 3 | 2011 | 41 | |
| 4 | 2014 | 39 | |
| 5 | 2008 | 32 | |
| 6 | 2007 | 31 | |
| 7 | 2016 | 27 | |
| 8 | 2010 | 23 | |
| 9 | 2008 | 23 | |
| 10 | 2015 | 5 | |
| 11 | 2010 | 2 | |
| 12 | 2010 | 2 | |
| 13 | 2010 | 1 | |
| 14 | 2012 | 1 | |
| 15 | 2012 | 1 |
About Robert Körner
Robert Körner is a scholar working on Computational Theory and Mathematics, Molecular Biology, Spectroscopy, Organic Chemistry and Materials Chemistry, having authored 15 papers that have together received 365 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (15 papers), Analytical Chemistry and Chromatography (5 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Free Radicals and Antioxidants (3 papers), Machine Learning in Materials Science (3 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Chemistry and Chemical Engineering (2 papers) and Pharmacogenetics and Drug Metabolism (1 paper). The work is most often cited by research in Computational Theory and Mathematics (264 citations), Pharmacology (25 citations), Spectroscopy (49 citations), Environmental Chemistry (27 citations) and Organic Chemistry (73 citations). Robert Körner has collaborated with scholars based in Germany. Frequent co-authors include Igor V. Tetko, Sergii Novotarskyi, Joannis Apostolakis, Matthias Rupp, Iurii Sushko, Anil Kumar Pandey, Ahmed Abdelaziz, В. В. Прокопенко, Simon Tietze and Johann Gasteiger. Their work appears in journals such as Journal of Cheminformatics, Journal of Chemical Information and Modeling, Combinatorial Chemistry & High Throughput Screening, Molecular Informatics and Chemical Research in Toxicology.
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.