Uli Fechner

2.2k total citations · 1 hit paper
18 papers, 1.5k citations indexed

About

Uli Fechner is a scholar working on Computational Theory and Mathematics, Molecular Biology and Spectroscopy. According to data from OpenAlex, Uli Fechner has authored 18 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computational Theory and Mathematics, 12 papers in Molecular Biology and 6 papers in Spectroscopy. Recurrent topics in Uli Fechner's work include Computational Drug Discovery Methods (17 papers), Chemical Synthesis and Analysis (6 papers) and Analytical Chemistry and Chromatography (4 papers). Uli Fechner is often cited by papers focused on Computational Drug Discovery Methods (17 papers), Chemical Synthesis and Analysis (6 papers) and Analytical Chemistry and Chromatography (4 papers). Uli Fechner collaborates with scholars based in Germany, Sweden and Switzerland. Uli Fechner's co-authors include Gisbert Schneider, Jens Sadowski, Evgeny Byvatov, Steffen Renner, Lutz Franke, Petra Schneider, Andreas Schüller, Neil Parrott, Ola Engkvist and Olivier Roche and has published in prestigious journals such as Nature Reviews Drug Discovery, PROTEOMICS and Journal of Chemical Information and Modeling.

In The Last Decade

Uli Fechner

17 papers receiving 1.5k citations

Hit Papers

Computer-based de novo design of drug-like molecules 2005 2026 2012 2019 2005 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Uli Fechner Germany 13 951 862 267 221 192 18 1.5k
Christian Lemmen Germany 16 904 1.0× 806 0.9× 247 0.9× 182 0.8× 198 1.0× 32 1.3k
Ajay United States 11 799 0.8× 983 1.1× 164 0.6× 264 1.2× 246 1.3× 13 1.7k
A. Peter Johnson United Kingdom 20 775 0.8× 715 0.8× 339 1.3× 311 1.4× 138 0.7× 43 1.5k
Sung‐Sau So United States 20 771 0.8× 594 0.7× 197 0.7× 335 1.5× 278 1.4× 34 1.8k
Nikolaus Stiefl Switzerland 20 779 0.8× 742 0.9× 393 1.5× 198 0.9× 114 0.6× 43 1.5k
Hongmao Sun United States 26 974 1.0× 1.3k 1.5× 319 1.2× 337 1.5× 159 0.8× 48 2.2k
John D. Holliday United Kingdom 22 1.0k 1.1× 685 0.8× 214 0.8× 135 0.6× 364 1.9× 61 1.4k
Dávid Bajusz Hungary 21 1.1k 1.1× 1.1k 1.3× 383 1.4× 250 1.1× 192 1.0× 55 2.5k
Burton A. Leland United States 7 1.3k 1.4× 965 1.1× 518 1.9× 138 0.6× 264 1.4× 10 1.7k
G. Richard Bickerton United Kingdom 11 1.0k 1.1× 1.1k 1.2× 411 1.5× 306 1.4× 83 0.4× 12 1.8k

Countries citing papers authored by Uli Fechner

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Uli Fechner

This figure shows the co-authorship network connecting the top 25 collaborators of Uli Fechner. A scholar is included among the top collaborators of Uli Fechner based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Uli Fechner. Uli Fechner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Fechner, Uli. (2014). 9th German Conference on Chemoinformatics. Journal of Cheminformatics. 6(S1). I1–I1.
2.
Fechner, Uli. (2013). 8th German Conference on Chemoinformatics. Journal of Cheminformatics. 5(S1). A1–P53. 6 indexed citations
3.
Oellien, Frank, Uli Fechner, & Thomas Engel. (2011). German Conference on Chemoinformatics 2010 – organizers' notes. Journal of Cheminformatics. 3(S1). 3 indexed citations
4.
Oellien, Frank, Uli Fechner, & Thomas Engel. (2010). 5th German Conference on Chemoinformatics: 23. CIC-Workshop. November 8-10, 2009, Goslar, Germany. Journal of Cheminformatics. 2(S1). A1–P54. 5 indexed citations
5.
Schüller, Andreas, Uli Fechner, Yusuf Tanrıkulu, et al.. (2007). The concept of template-based de novo design from drug-derived molecular fragments and its application to TAR RNA. Journal of Computer-Aided Molecular Design. 22(2). 59–68. 19 indexed citations
6.
Fechner, Uli & Gisbert Schneider. (2007). Flux (2):  Comparison of Molecular Mutation and Crossover Operators for Ligand-Based de Novo Design. Journal of Chemical Information and Modeling. 47(2). 656–667. 44 indexed citations
7.
Proschak, Ewgenij, Jörg K. Wegner, Andreas Schüller, Gisbert Schneider, & Uli Fechner. (2007). Molecular Query Language (MQL)A Context-Free Grammar for Substructure Matching. Journal of Chemical Information and Modeling. 47(2). 295–301. 27 indexed citations
8.
Schüller, Andreas, Uli Fechner, Steffen Renner, et al.. (2006). A Pseudo-Ligand Approach to Virtual Screening. Combinatorial Chemistry & High Throughput Screening. 9(5). 359–364. 16 indexed citations
9.
Schneider, Gisbert & Uli Fechner. (2005). Computer-based de novo design of drug-like molecules. Nature Reviews Drug Discovery. 4(8). 649–663. 630 indexed citations breakdown →
10.
Fechner, Uli & Gisbert Schneider. (2005). Flux (1):  A Virtual Synthesis Scheme for Fragment-Based de Novo Design. Journal of Chemical Information and Modeling. 46(2). 699–707. 75 indexed citations
11.
Fechner, Uli, et al.. (2005). Comparison of Three Holographic Fingerprint Descriptors and their Binary Counterparts. QSAR & Combinatorial Science. 24(8). 961–967. 15 indexed citations
12.
Fechner, Uli & Gisbert Schneider. (2004). Evaluation of Distance Metrics for Ligand‐Based Similarity Searching. ChemBioChem. 5(4). 538–540. 17 indexed citations
13.
Schneider, Gisbert & Uli Fechner. (2004). Advances in the prediction of protein targeting signals. PROTEOMICS. 4(6). 1571–1580. 85 indexed citations
14.
Fechner, Uli & Gisbert Schneider. (2004). Optimization of a Pharmacophore‐based Correlation Vector Descriptor for Similarity Searching. QSAR & Combinatorial Science. 23(1). 19–22. 16 indexed citations
15.
Byvatov, Evgeny, Uli Fechner, Jens Sadowski, & Gisbert Schneider. (2004). Comparison of Support Vector Machine and Artificial Neural Network Systems for Drug/Nondrug Classification.. ChemInform. 35(5). 12 indexed citations
16.
Fechner, Uli, Lutz Franke, Steffen Renner, Petra Schneider, & Gisbert Schneider. (2003). Comparison of correlation vector methods for ligand-based similarity searching. Journal of Computer-Aided Molecular Design. 17(10). 687–698. 73 indexed citations
17.
Byvatov, Evgeny, Uli Fechner, Jens Sadowski, & Gisbert Schneider. (2003). Comparison of Support Vector Machine and Artificial Neural Network Systems for Drug/Nondrug Classification. Journal of Chemical Information and Computer Sciences. 43(6). 1882–1889. 448 indexed citations
18.
Fechner, Uli, et al.. (2002). A fast virtual screening filter for cytochrome P450 3A4 inhibition liability of compound libraries. Quantitative Structure-Activity Relationships. 21(3). 249–256. 34 indexed citations

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.

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