Uli Fechner
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
- Molecular Biology top 10%
- Chemical Synthesis and Analysis
- Protein Structure and Dynamics
- Machine Learning in Bioinformatics
Papers in ⓘ
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- Computational Drug Discovery Methods 17
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- Chemical Synthesis and Analysis 6
- Metabolomics and Mass Spectrometry Studies 3
- Genetics, Bioinformatics, and Biomedical Research 2
- Co-authors
- Gisbert Schneider (14 shared papers)Evgeny Byvatov (2 shared papers)Jens Sadowski (2 shared papers)Steffen Renner (2 shared papers)Lutz Franke (2 shared papers)Petra Schneider (1 shared paper)Andreas Schüller (3 shared papers)Ola Engkvist (1 shared paper)
- Journals
- Journal of Cheminformatics (4 papers)Journal of Chemical Information and Modeling (3 papers)Journal of Computer-Aided Molecular Design (2 papers)ChemBioChem (1 paper)Nature Reviews Drug Discovery (1 paper)
- Partner nations
- GermanySwedenSwitzerland
In The Last Decade
Uli Fechner
17 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Computational Theory and Mathematics 951
- Molecular Biology 862
- Spectroscopy 192
- Pharmacology 81
- Pharmacology 139
Countries citing papers authored by Uli Fechner
This map shows the geographic impact of Uli Fechner'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 Uli Fechner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uli Fechner more than expected).
Fields of papers citing papers by Uli Fechner
This network shows the impact of papers produced by Uli Fechner. 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 Uli Fechner. The network helps show where Uli Fechner may publish in the future.
Co-authors
The 18 scholars most cited alongside Uli Fechner, 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 | Computer-based de novo design of drug-like molecules Hit paper breakdown → | 2005 | 630 |
| 2 | 2003 | 448 | |
| 3 | 2004 | 85 | |
| 4 | 2005 | 75 | |
| 5 | 2003 | 73 | |
| 6 | 2007 | 44 | |
| 7 | 2002 | 34 | |
| 8 | 2007 | 27 | |
| 9 | 2007 | 19 | |
| 10 | 2004 | 17 | |
| 11 | 2006 | 16 | |
| 12 | 2004 | 16 | |
| 13 | 2005 | 15 | |
| 14 | 2004 | 12 | |
| 15 | 2013 | 6 | |
| 16 | 2010 | 5 | |
| 17 | 2011 | 3 | |
| 18 | 2014 | 0 |
About Uli Fechner
Uli Fechner is a scholar working on Computational Theory and Mathematics, Molecular Biology, Spectroscopy, Organic Chemistry and Physical and Theoretical Chemistry, having authored 18 papers that have together received 1.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (17 papers), Chemical Synthesis and Analysis (6 papers), Analytical Chemistry and Chromatography (4 papers), Various Chemistry Research Topics (3 papers), Click Chemistry and Applications (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers) and Molecular spectroscopy and chirality (2 papers). The work is most often cited by research in Computational Theory and Mathematics (951 citations), Molecular Biology (862 citations), Spectroscopy (192 citations), Pharmacology (81 citations) and Pharmacology (139 citations). Uli Fechner has collaborated with scholars based in Germany, Sweden and Switzerland. Frequent co-authors include Gisbert Schneider, Evgeny Byvatov, Jens Sadowski, Steffen Renner, Lutz Franke, Petra Schneider, Andreas Schüller, Ola Engkvist, Neil Parrott and Olivier Roche. Their work appears in journals such as Journal of Cheminformatics, Journal of Chemical Information and Modeling, Journal of Computer-Aided Molecular Design, ChemBioChem 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.