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
-
- Chemical Synthesis and Analysis 6
- Metabolomics and Mass Spectrometry Studies 3
- Co-authors
- Gisbert Schneider (14 shared papers)Jens Sadowski (2 shared papers)Evgeny Byvatov (2 shared papers)Steffen Renner (2 shared papers)Petra Schneider (1 shared paper)Andreas Schüller (3 shared papers)Olivier Roche (1 shared paper)Neil Parrott (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)Combinatorial Chemistry & High Throughput Screening (1 paper)PROTEOMICS (1 paper)
- Partner nations
- GermanySwitzerlandSweden
In The Last Decade
Uli Fechner
17 papers receiving 1.5k citations
Uli Fechner's Hit Papers
Peers
Comparison fields: 5 of 137
- Computational Theory and Mathematics 917
- Molecular Biology 813
- Spectroscopy 179
- Pharmacology 75
- Pharmacology 131
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 17 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 | 632 |
| 2 | 2003 | 449 | |
| 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 | 2004 | 16 | |
| 12 | 2006 | 16 | |
| 13 | 2005 | 15 | |
| 14 | 2004 | 13 | |
| 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), Click Chemistry and Applications (3 papers), Various Chemistry Research Topics (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Molecular spectroscopy and chirality (2 papers) and Machine Learning in Materials Science (2 papers). The work is most often cited by research in Computational Theory and Mathematics (917 citations), Molecular Biology (813 citations), Spectroscopy (179 citations), Pharmacology (75 citations) and Pharmacology (131 citations). Uli Fechner has collaborated with scholars based in Germany, Switzerland and Sweden. Frequent co-authors include Gisbert Schneider, Jens Sadowski, Evgeny Byvatov, Steffen Renner, Petra Schneider, Andreas Schüller, Olivier Roche, Neil Parrott, Ola Engkvist and Ewgenij Proschak. Their work appears in journals such as Journal of Cheminformatics, Journal of Chemical Information and Modeling, Journal of Computer-Aided Molecular Design, Combinatorial Chemistry & High Throughput Screening and PROTEOMICS.
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.