Nikolas Fechner

794 total citations
21 papers, 404 citations indexed

About

Nikolas Fechner is a scholar working on Computational Theory and Mathematics, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Nikolas Fechner has authored 21 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computational Theory and Mathematics, 15 papers in Molecular Biology and 10 papers in Materials Chemistry. Recurrent topics in Nikolas Fechner's work include Computational Drug Discovery Methods (19 papers), Machine Learning in Materials Science (10 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Nikolas Fechner is often cited by papers focused on Computational Drug Discovery Methods (19 papers), Machine Learning in Materials Science (10 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Nikolas Fechner collaborates with scholars based in Germany, Switzerland and United Kingdom. Nikolas Fechner's co-authors include Andreas Zell, Georg Hinselmann, Andreas Jahn, Lars Rosenbaum, Gregory A. Landrum, Nikolaus Stiefl, Sereina Riniker, Nadine Schneider, Christian Weiß and Maximilian Beckers and has published in prestigious journals such as Bioinformatics, Nature Reviews Drug Discovery and Journal of Medicinal Chemistry.

In The Last Decade

Nikolas Fechner

21 papers receiving 391 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nikolas Fechner Germany 11 292 218 115 57 50 21 404
Yuemin Bian United States 11 280 1.0× 298 1.4× 106 0.9× 59 1.0× 20 0.4× 19 535
Tomoyuki Miyao Japan 12 355 1.2× 197 0.9× 225 2.0× 55 1.0× 44 0.9× 64 523
Yankang Jing United States 9 231 0.8× 217 1.0× 82 0.7× 56 1.0× 25 0.5× 13 476
Nobuaki Yasuo Japan 11 257 0.9× 229 1.1× 75 0.7× 41 0.7× 16 0.3× 32 454
Qurrat Ul Ain New Zealand 10 308 1.1× 305 1.4× 113 1.0× 53 0.9× 13 0.3× 28 584
Olga Obrezanova United Kingdom 13 388 1.3× 342 1.6× 118 1.0× 20 0.4× 111 2.2× 21 704
Arthur Garon Austria 9 370 1.3× 280 1.3× 207 1.8× 39 0.7× 19 0.4× 14 594
Junnan Zhao China 12 137 0.5× 139 0.6× 44 0.4× 24 0.4× 25 0.5× 31 338
Simon Johansson Sweden 8 487 1.7× 330 1.5× 404 3.5× 29 0.5× 31 0.6× 19 678
Nidhi Nidhi India 7 231 0.8× 197 0.9× 46 0.4× 50 0.9× 22 0.4× 38 479

Countries citing papers authored by Nikolas Fechner

Since Specialization
Citations

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

Fields of papers citing papers by Nikolas Fechner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikolas Fechner

This figure shows the co-authorship network connecting the top 25 collaborators of Nikolas Fechner. A scholar is included among the top collaborators of Nikolas 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 Nikolas Fechner. Nikolas Fechner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Rácz, Anita, Maximilian Beckers, Nikolas Fechner, et al.. (2025). The changing landscape of medicinal chemistry optimization. Nature Reviews Drug Discovery. 24(11). 870–887. 3 indexed citations
2.
Beckers, Maximilian, Finton Sirockin, Nikolas Fechner, & Nikolaus Stiefl. (2024). Balancing Molecular Size, Activity, Permeability, and Other Properties: Drug Candidates in the Context of Their Chemical Structure Optimization. Journal of Chemical Information and Modeling. 64(16). 6636–6647. 1 indexed citations
3.
Sirockin, Finton, Richard A. Lewis, Nikolas Fechner, et al.. (2023). PREFER: A New Predictive Modeling Framework for Molecular Discovery. Journal of Chemical Information and Modeling. 63(15). 4497–4504. 9 indexed citations
4.
Beckers, Maximilian, Noé Sturm, Finton Sirockin, Nikolas Fechner, & Nikolaus Stiefl. (2023). Prediction of Small-Molecule Developability Using Large-Scale In Silico ADMET Models. Journal of Medicinal Chemistry. 66(20). 14047–14060. 11 indexed citations
5.
Beckers, Maximilian, Nikolas Fechner, & Nikolaus Stiefl. (2022). 25 Years of Small-Molecule Optimization at Novartis: A Retrospective Analysis of Chemical Series Evolution. Journal of Chemical Information and Modeling. 62(23). 6002–6021. 16 indexed citations
6.
Fechner, Nikolas, et al.. (2020). Automated Identification of Chemical Series: Classifying like a Medicinal Chemist. Journal of Chemical Information and Modeling. 60(6). 2888–2902. 8 indexed citations
7.
Schneider, Nadine, Richard A. Lewis, Nikolas Fechner, & Peter Ertl. (2018). Chiral Cliffs: Investigating the Influence of Chirality on Binding Affinity. ChemMedChem. 13(13). 1315–1324. 23 indexed citations
8.
Riniker, Sereina, Nikolas Fechner, & Gregory A. Landrum. (2013). Heterogeneous Classifier Fusion for Ligand-Based Virtual Screening: Or, How Decision Making by Committee Can Be a Good Thing. Journal of Chemical Information and Modeling. 53(11). 2829–2836. 38 indexed citations
9.
Fechner, Nikolas, George Papadatos, David Evans, et al.. (2012). ChEMBLSpace—a graphical explorer of the chemogenomic space covered by the ChEMBL database. Bioinformatics. 29(4). 523–524. 9 indexed citations
10.
Hinselmann, Georg, Lars Rosenbaum, Andreas Jahn, Nikolas Fechner, & Andreas Zell. (2011). jCompoundMapper: An open source Java library and command-line tool for chemical fingerprints. Journal of Cheminformatics. 3(1). 3–3. 69 indexed citations
11.
Hinselmann, Georg, Lars Rosenbaum, Andreas Jahn, et al.. (2011). Large-Scale Learning of Structure−Activity Relationships Using a Linear Support Vector Machine and Problem-Specific Metrics. Journal of Chemical Information and Modeling. 51(2). 203–213. 27 indexed citations
12.
Jahn, Andreas, Georg Hinselmann, Lars Rosenbaum, Nikolas Fechner, & Andreas Zell. (2011). Boltzmann‐Enhanced Flexible Atom‐Pair Kernel with Dynamic Dimension Reduction. Molecular Informatics. 30(4). 307–315. 1 indexed citations
13.
Jahn, Andreas, Georg Hinselmann, Nikolas Fechner, Carsten Henneges, & Andreas Zell. (2010). Probabilistic Modeling of Conformational Space for 3D Machine Learning Approaches. Molecular Informatics. 29(5). 441–455. 6 indexed citations
14.
Fechner, Nikolas, Andreas Jahn, Georg Hinselmann, & Andreas Zell. (2010). Estimation of the applicability domain of kernel-based machine learning models for virtual screening. Journal of Cheminformatics. 2(1). 2–2. 37 indexed citations
15.
Fechner, Nikolas, Georg Hinselmann, Andreas Jahn, & Andreas Zell. (2010). Kernel-based estimation of the applicability domain of QSAR models. Journal of Cheminformatics. 2(S1). 1 indexed citations
16.
Fechner, Nikolas, Georg Hinselmann, Andreas Jahn, Lars Rosenbaum, & Andreas Zell. (2010). A Free–Wilson‐like Approach to Analyze QSAR Models Based on Graph Decomposition Kernels. Molecular Informatics. 29(6-7). 491–497. 2 indexed citations
17.
Hinselmann, Georg, et al.. (2010). Graph kernels for chemical compounds using topological and three-dimensional local atom pair environments. Neurocomputing. 74(1-3). 219–229. 7 indexed citations
18.
Jahn, Andreas, Georg Hinselmann, Nikolas Fechner, & Andreas Zell. (2009). Optimal assignment methods for ligand-based virtual screening. Journal of Cheminformatics. 1(1). 14–14. 68 indexed citations
19.
Fechner, Nikolas, Andreas Jahn, Georg Hinselmann, & Andreas Zell. (2009). Atomic Local Neighborhood Flexibility Incorporation into a Structured Similarity Measure for QSAR. Journal of Chemical Information and Modeling. 49(3). 549–560. 12 indexed citations
20.
Weiß, Christian, et al.. (2008). Comparison of Different Approaches to Vibration-based Terrain Classification. 40 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Yuemin Bian Breakdown of academic impact, for papers by Tomoyuki Miyao Breakdown of academic impact, for papers by Yankang Jing Breakdown of academic impact, for papers by Nobuaki Yasuo Breakdown of academic impact, for papers by Qurrat Ul Ain Breakdown of academic impact, for papers by Olga Obrezanova Breakdown of academic impact, for papers by Arthur Garon Breakdown of academic impact, for papers by Junnan Zhao Breakdown of academic impact, for papers by Simon Johansson Breakdown of academic impact, for papers by Nidhi Nidhi
Rankless by CCL
2026