Felix Reisen

881 total citations
18 papers, 658 citations indexed

About

Felix Reisen is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Felix Reisen has authored 18 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Computational Theory and Mathematics and 4 papers in Organic Chemistry. Recurrent topics in Felix Reisen's work include Computational Drug Discovery Methods (8 papers), Chemical Synthesis and Analysis (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Felix Reisen is often cited by papers focused on Computational Drug Discovery Methods (8 papers), Chemical Synthesis and Analysis (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Felix Reisen collaborates with scholars based in Switzerland, Germany and Austria. Felix Reisen's co-authors include Gisbert Schneider, Ewgenij Proschak, Tim Geppert, Heiko Zettl, Markus Hartenfeller, Matthias Rupp, Miriam Walter, Holger Stark, Sascha Weggen and Silja Weßler and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Felix Reisen

18 papers receiving 643 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Felix Reisen Switzerland 12 364 272 101 90 83 18 658
Maria I. Zavodszky United States 14 522 1.4× 214 0.8× 141 1.4× 72 0.8× 23 0.3× 26 760
Chia-Cheng Chou Taiwan 17 521 1.4× 130 0.5× 83 0.8× 66 0.7× 38 0.5× 35 915
Wenhua Kuang China 12 731 2.0× 525 1.9× 145 1.4× 45 0.5× 21 0.3× 34 966
Ramachandran Vijayan India 17 635 1.7× 268 1.0× 131 1.3× 138 1.5× 15 0.2× 50 1.1k
Gordon Lemmon United States 12 949 2.6× 165 0.6× 218 2.2× 59 0.7× 25 0.3× 16 1.3k
Soma Barman India 16 412 1.1× 109 0.4× 28 0.3× 84 0.9× 26 0.3× 57 771
Katarzyna H. Kaminska Poland 20 1.1k 3.0× 93 0.3× 31 0.3× 83 0.9× 28 0.3× 42 1.4k
Raphaël Bourgeas France 10 507 1.4× 226 0.8× 124 1.2× 76 0.8× 9 0.1× 11 646
Christoph Gorgulla United States 9 481 1.3× 332 1.2× 112 1.1× 73 0.8× 8 0.1× 16 690
Michał Łaźniewski Poland 14 537 1.5× 265 1.0× 69 0.7× 90 1.0× 21 0.3× 23 823

Countries citing papers authored by Felix Reisen

Since Specialization
Citations

This map shows the geographic impact of Felix Reisen'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 Felix Reisen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Felix Reisen more than expected).

Fields of papers citing papers by Felix Reisen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Felix Reisen. 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 Felix Reisen. The network helps show where Felix Reisen may publish in the future.

Co-authorship network of co-authors of Felix Reisen

This figure shows the co-authorship network connecting the top 25 collaborators of Felix Reisen. A scholar is included among the top collaborators of Felix Reisen 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 Felix Reisen. Felix Reisen 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.
Schneider, Gisbert, Werner Breitenstein, Jamal Bouitbir, et al.. (2023). Allosteric targeting resolves limitations of earlier LFA-1 directed modalities. Biochemical Pharmacology. 211. 115504–115504. 2 indexed citations
2.
Reisen, Felix, et al.. (2015). Linking Phenotypes and Modes of Action Through High-Content Screen Fingerprints. Assay and Drug Development Technologies. 13(7). 415–427. 49 indexed citations
3.
Lanig, Harald, et al.. (2015). In Silico Adoption of an Orphan Nuclear Receptor NR4A1. PLoS ONE. 10(8). e0135246–e0135246. 5 indexed citations
4.
Perna, Anna Maria, Felix Reisen, Thomas P. Schmidt, et al.. (2014). Inhibiting Helicobacter pylori HtrA protease by addressing a computationally predicted allosteric ligand binding site. Chemical Science. 5(9). 3583–3590. 25 indexed citations
5.
Kunze, Jens, Petra Schneider, Tiago Rodrigues, et al.. (2014). Targeting Dynamic Pockets of HIV-1 Protease by Structure-Based Computational Screening for Allosteric Inhibitors. Journal of Chemical Information and Modeling. 54(3). 987–991. 25 indexed citations
6.
Reisen, Felix, Xian Zhang, Daniela Gabriel, & Paul M. Selzer. (2013). Benchmarking of Multivariate Similarity Measures for High-Content Screening Fingerprints in Phenotypic Drug Discovery. SLAS DISCOVERY. 18(10). 1284–1297. 26 indexed citations
7.
Reisen, Felix, Tim Geppert, Gabriel Sollberger, et al.. (2012). Identification of UV-protective Activators of Nuclear Factor Erythroid-derived 2-Related Factor 2 (Nrf2) by Combining a Chemical Library Screen with Computer-based Virtual Screening. Journal of Biological Chemistry. 287(39). 33001–33013. 24 indexed citations
8.
Hartenfeller, Markus, Heiko Zettl, Miriam Walter, et al.. (2012). DOGS: Reaction-Driven de novo Design of Bioactive Compounds. PLoS Computational Biology. 8(2). e1002380–e1002380. 181 indexed citations
9.
Hoy, Benjamin, Tim Geppert, Manja Boehm, et al.. (2012). Distinct Roles of Secreted HtrA Proteases from Gram-negative Pathogens in Cleaving the Junctional Protein and Tumor Suppressor E-cadherin. Journal of Biological Chemistry. 287(13). 10115–10120. 138 indexed citations
10.
Reisen, Felix, et al.. (2012). Phenotype-based high-content chemical library screening identifies statins as inhibitors of in vivo lymphangiogenesis. Proceedings of the National Academy of Sciences. 109(40). E2665–74. 57 indexed citations
11.
Geppert, Tim, Felix Reisen, Volker Hähnke, et al.. (2011). Virtual screening for compounds that mimic protein–protein interface epitopes. Journal of Computational Chemistry. 33(5). 573–579. 14 indexed citations
12.
Klenner, Alexander, Volker Hähnke, Tim Geppert, et al.. (2011). From Virtual Screening to Bioactive Compounds by Visualizing and Clustering of Chemical Space. Molecular Informatics. 31(1). 21–26. 11 indexed citations
13.
Schneider, Petra, et al.. (2011). Target Profile Prediction and Practical Evaluation of a Biginelli-Type Dihydropyrimidine Compound Library. Pharmaceuticals. 4(9). 1236–1247. 8 indexed citations
14.
Schneider, Gisbert, Tim Geppert, Markus Hartenfeller, et al.. (2011). Reaction-Driven De Novo Design, Synthesis and Testing of Potential Type II Kinase Inhibitors. Future Medicinal Chemistry. 3(4). 415–424. 26 indexed citations
15.
16.
Klenner, Alexander, Martin Weisel, Felix Reisen, Ewgenij Proschak, & Gisbert Schneider. (2010). Automated Docking of Flexible Molecules Into Receptor Binding Sites by Ligand Self‐Organization In Situ. Molecular Informatics. 29(3). 189–193. 8 indexed citations
17.
Reisen, Felix, Martin Weisel, Jan M. Kriegl, & Gisbert Schneider. (2010). Self-Organizing Fuzzy Graphs for Structure-Based Comparison of Protein Pockets. Journal of Proteome Research. 9(12). 6498–6510. 24 indexed citations
18.
Reisen, Felix, Gisbert Schneider, & Ewgenij Proschak. (2008). Reaction-MQL: Line Notation for Functional Transformation. Journal of Chemical Information and Modeling. 49(1). 6–12. 10 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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