Modest von Korff

2.5k total citations · 1 hit paper
18 papers, 1.9k citations indexed

About

Modest von Korff is a scholar working on Molecular Biology, Computational Theory and Mathematics and Spectroscopy. According to data from OpenAlex, Modest von Korff has authored 18 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 13 papers in Computational Theory and Mathematics and 4 papers in Spectroscopy. Recurrent topics in Modest von Korff's work include Computational Drug Discovery Methods (13 papers), Analytical Chemistry and Chromatography (4 papers) and Bioinformatics and Genomic Networks (4 papers). Modest von Korff is often cited by papers focused on Computational Drug Discovery Methods (13 papers), Analytical Chemistry and Chromatography (4 papers) and Bioinformatics and Genomic Networks (4 papers). Modest von Korff collaborates with scholars based in Switzerland, Germany and United States. Modest von Korff's co-authors include Thomas Sander, Joël Freyss, Knut Baumann, Kurt Hilpert, Thierry Kimmerlin, Christoph Boss, Romain Siegrist, Urs Lüthi, O Péter and Christian Burschka and has published in prestigious journals such as Scientific Reports, Frontiers in Pharmacology and Journal of Chemical Information and Modeling.

In The Last Decade

Modest von Korff

17 papers receiving 1.8k citations

Hit Papers

DataWarrior: An Open-Source Program For Chemistry Aware D... 2015 2026 2018 2022 2015 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Modest von Korff Switzerland 11 867 829 510 238 139 18 1.9k
Joël Freyss Switzerland 6 777 0.9× 704 0.8× 480 0.9× 221 0.9× 120 0.9× 7 1.6k
Lixia Sun China 11 728 0.8× 935 1.1× 452 0.9× 198 0.8× 148 1.1× 16 1.9k
Ricardo Nascimento dos Santos Brazil 11 1.0k 1.2× 755 0.9× 417 0.8× 245 1.0× 137 1.0× 21 2.0k
Vinícius Gonçalves Maltarollo Brazil 21 841 1.0× 799 1.0× 447 0.9× 152 0.6× 211 1.5× 110 1.9k
David Lagorce France 25 1.4k 1.6× 933 1.1× 361 0.7× 287 1.2× 152 1.1× 34 2.6k
Laurent E. Dardenne Brazil 19 933 1.1× 705 0.9× 355 0.7× 217 0.9× 178 1.3× 60 1.8k
Thomas Sander Switzerland 17 889 1.0× 826 1.0× 594 1.2× 241 1.0× 357 2.6× 37 2.2k
Káthia M. Honório Brazil 26 1.0k 1.2× 969 1.2× 549 1.1× 344 1.4× 250 1.8× 149 2.6k
Oliver Korb United Kingdom 17 1.4k 1.6× 922 1.1× 461 0.9× 235 1.0× 285 2.1× 34 2.1k
Anna K. Schrey Germany 14 1.0k 1.2× 873 1.1× 718 1.4× 289 1.2× 126 0.9× 24 2.5k

Countries citing papers authored by Modest von Korff

Since Specialization
Citations

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

Fields of papers citing papers by Modest von Korff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Modest von Korff. 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 Modest von Korff. The network helps show where Modest von Korff may publish in the future.

Co-authorship network of co-authors of Modest von Korff

This figure shows the co-authorship network connecting the top 25 collaborators of Modest von Korff. A scholar is included among the top collaborators of Modest von Korff 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 Modest von Korff. Modest von Korff 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.
Korff, Modest von & Thomas Sander. (2023). Molecular Complexity for Chemical Reactions. CHIMIA International Journal for Chemistry. 77(4). 258–258.
2.
Korff, Modest von & Thomas Sander. (2022). Limits of Prediction for Machine Learning in Drug Discovery. Frontiers in Pharmacology. 13. 832120–832120. 7 indexed citations
3.
Freyss, Joël, et al.. (2019). Accuracy evaluation and addition of improved dihedral parameters for the MMFF94s. Journal of Cheminformatics. 11(1). 53–53. 32 indexed citations
4.
Korff, Modest von & Thomas Sander. (2019). Molecular Complexity Calculated by Fractal Dimension. Scientific Reports. 9(1). 967–967. 29 indexed citations
5.
Boss, Christoph, Thierry Kimmerlin, Modest von Korff, et al.. (2017). The Screening Compound Collection: A Key Asset for Drug Discovery. CHIMIA International Journal for Chemistry. 71(10). 667–667. 16 indexed citations
6.
Korff, Modest von, Tobias Fink, & Thomas Sander. (2016). A NEW RELEVANCE ESTIMATOR FOR THE COMPILATION AND VISUALIZATION OF DISEASE PATTERNS AND POTENTIAL DRUG TARGETS. PubMed. 22. 312–323. 1 indexed citations
7.
Sander, Thomas, et al.. (2015). DataWarrior: An Open-Source Program For Chemistry Aware Data Visualization And Analysis. Journal of Chemical Information and Modeling. 55(2). 460–473. 1278 indexed citations breakdown →
8.
Korff, Modest von, et al.. (2015). Data Mining in MEDLINE for Disease-Disease Associations Via Second Order Co-Occurrence. 265. 314–321. 3 indexed citations
9.
Korff, Modest von, et al.. (2010). Integration of distributed computing into the drug discovery process. Expert Opinion on Drug Discovery. 6(2). 103–107. 1 indexed citations
10.
Korff, Modest von, Joël Freyss, & Thomas Sander. (2009). Comparison of Ligand- and Structure-Based Virtual Screening on the DUD Data Set. Journal of Chemical Information and Modeling. 49(2). 209–231. 69 indexed citations
11.
Sander, Thomas, et al.. (2009). OSIRIS, an Entirely in-House Developed Drug Discovery Informatics System. Journal of Chemical Information and Modeling. 49(2). 232–246. 214 indexed citations
12.
Korff, Modest von, Joël Freyss, & Thomas Sander. (2008). Flexophore, a New Versatile 3D Pharmacophore Descriptor That Considers Molecular Flexibility. Journal of Chemical Information and Modeling. 48(4). 797–810. 31 indexed citations
13.
Korff, Modest von & Thomas Sander. (2006). Toxicity-Indicating Structural Patterns. Journal of Chemical Information and Modeling. 46(2). 536–544. 52 indexed citations
14.
Korff, Modest von & Kurt Hilpert. (2006). Assessing the Predictive Power of Unsupervised Visualization Techniques to Improve the Identification of GPCR-Focused Compound Libraries. Journal of Chemical Information and Modeling. 46(4). 1580–1587. 7 indexed citations
15.
Korff, Modest von, et al.. (2004). GPCR-Tailored Pharmacophore Pattern Recognition of Small Molecular Ligands. Journal of Chemical Information and Computer Sciences. 44(3). 1137–1147. 14 indexed citations
17.
Baumann, Knut, et al.. (2002). A systematic evaluation of the benefits and hazards of variable selection in latent variable regression. Part II. Practical applications. Journal of Chemometrics. 16(7). 351–360. 35 indexed citations
18.
Kuhl, Ulrich, Modest von Korff, Knut Baumann, Christian Burschka, & Ulrike Holzgrabe. (2001). Stereochemical behaviour of κ-agonistic 2,4-dipyridin-2-yl-3,7-diazabicyclo[3.3.1]nonanones—influence of the substituent in position N3. Journal of the Chemical Society Perkin Transactions 2. 2037–2042. 3 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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