Claude Ostermann

1.5k total citations · 1 hit paper
17 papers, 1.2k citations indexed

About

Claude Ostermann is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Claude Ostermann has authored 17 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Computational Theory and Mathematics and 8 papers in Organic Chemistry. Recurrent topics in Claude Ostermann's work include Computational Drug Discovery Methods (9 papers), Microbial Natural Products and Biosynthesis (6 papers) and Chemical Synthesis and Analysis (3 papers). Claude Ostermann is often cited by papers focused on Computational Drug Discovery Methods (9 papers), Microbial Natural Products and Biosynthesis (6 papers) and Chemical Synthesis and Analysis (3 papers). Claude Ostermann collaborates with scholars based in Germany, France and United States. Claude Ostermann's co-authors include Igor V. Tetko, Raimund Mannhold, Gennadiy Poda, Slava Ziegler, Axel Pahl, Herbert Waldmann, Sonja Sievers, Carsten Strohmann, M. García-Castro and Lea Kremer and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and Nature Chemistry.

In The Last Decade

Claude Ostermann

17 papers receiving 1.2k citations

Hit Papers

Calculation of Molecular Lipophilicity: State-of-the-Art ... 2008 2026 2014 2020 2008 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Claude Ostermann Germany 12 490 397 287 184 168 17 1.2k
Ronan Bureau France 24 745 1.5× 487 1.2× 589 2.1× 132 0.7× 192 1.1× 95 2.0k
Simone Sciabola United States 21 1.1k 2.3× 613 1.5× 240 0.8× 128 0.7× 127 0.8× 36 1.6k
Iain M. McLay United Kingdom 22 695 1.4× 658 1.7× 402 1.4× 195 1.1× 233 1.4× 32 1.5k
Yuan Zhao China 18 689 1.4× 262 0.7× 334 1.2× 116 0.6× 78 0.5× 74 1.7k
Miguel Ángel Cabrera‐Pérez Cuba 28 728 1.5× 936 2.4× 363 1.3× 239 1.3× 147 0.9× 85 1.9k
James T. Metz United States 11 691 1.4× 465 1.2× 453 1.6× 112 0.6× 123 0.7× 12 1.2k
Satya P. Gupta India 18 424 0.9× 276 0.7× 343 1.2× 81 0.4× 100 0.6× 97 1.3k
Stephan Reiling United States 16 522 1.1× 419 1.1× 154 0.5× 207 1.1× 82 0.5× 21 1.0k
Daniel S. Sem United States 24 1.1k 2.1× 238 0.6× 170 0.6× 286 1.6× 119 0.7× 86 1.8k
Antonius ter Laak Germany 26 1.0k 2.1× 787 2.0× 182 0.6× 263 1.4× 105 0.6× 47 2.0k

Countries citing papers authored by Claude Ostermann

Since Specialization
Citations

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

Fields of papers citing papers by Claude Ostermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claude Ostermann

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

All Works

17 of 17 papers shown
1.
Wilke, Julian, et al.. (2019). Design, Synthesis, and Phenotypic Profiling of Pyrano‐Furo‐Pyridone Pseudo Natural Products. Angewandte Chemie. 131(41). 14857–14865. 18 indexed citations
2.
Ceballos, Javier, George Karageorgis, Elena S. Reckzeh, et al.. (2019). Synthesis of Indomorphan Pseudo‐Natural Product Inhibitors of Glucose Transporters GLUT‐1 and ‐3. Angewandte Chemie. 131(47). 17172–17181. 22 indexed citations
3.
Ceballos, Javier, George Karageorgis, Elena S. Reckzeh, et al.. (2019). Synthesis of Indomorphan Pseudo‐Natural Product Inhibitors of Glucose Transporters GLUT‐1 and ‐3. Angewandte Chemie International Edition. 58(47). 17016–17025. 76 indexed citations
4.
Wilke, Julian, et al.. (2019). Design, Synthesis, and Phenotypic Profiling of Pyrano‐Furo‐Pyridone Pseudo Natural Products. Angewandte Chemie International Edition. 58(41). 14715–14723. 81 indexed citations
5.
Karageorgis, George, Elena S. Reckzeh, Javier Ceballos, et al.. (2018). Chromopynones are pseudo natural product glucose uptake inhibitors targeting glucose transporters GLUT-1 and -3. Nature Chemistry. 10(11). 1103–1111. 96 indexed citations
6.
García-Castro, M., Lea Kremer, Christopher D. Reinkemeier, et al.. (2015). De novo branching cascades for structural and functional diversity in small molecules. Nature Communications. 6(1). 233 indexed citations
7.
Mann, Klaus, Guido Hanauer, Claude Ostermann, et al.. (2012). Structure–activity relationships of 2-arylamido-5,7-dihydro-4H-thieno[2,3-c]pyran-3-carboxamide derivatives as cannabinoid receptor agonists and their analgesic action. Bioorganic & Medicinal Chemistry Letters. 22(24). 7314–7321. 7 indexed citations
8.
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
9.
Meinl, Thorsten, Claude Ostermann, & Michael R. Berthold. (2011). Maximum-Score Diversity Selection for Early Drug Discovery. Journal of Chemical Information and Modeling. 51(2). 237–247. 23 indexed citations
10.
Meinl, Thorsten, et al.. (2010). Maximum-score diversity selection for early drug discovery. Journal of Cheminformatics. 2(S1). 1 indexed citations
11.
Tetko, Igor V., Gennadiy Poda, Claude Ostermann, & Raimund Mannhold. (2009). Large‐Scale Evaluation of log P Predictors: Local Corrections May Compensate Insufficient Accuracy and Need of Experimentally Testing Every Other Compound. Chemistry & Biodiversity. 6(11). 1837–1844. 31 indexed citations
12.
Ostermann, Claude, et al.. (2009). Calculation of molecular lipophilicity: state of the art and comparison of methods on more than 96000 compounds. Chemistry Central Journal. 3(S1). 14 indexed citations
13.
Tetko, Igor V., Gennadiy Poda, Claude Ostermann, & Raimund Mannhold. (2009). Accurate In Silico log P Predictions: One Can't Embrace the Unembraceable. QSAR & Combinatorial Science. 28(8). 845–849. 25 indexed citations
14.
Mannhold, Raimund, Gennadiy Poda, Claude Ostermann, & Igor V. Tetko. (2008). Calculation of Molecular Lipophilicity: State-of-the-Art and Comparison of LogP Methods on more than 96,000 Compounds. Journal of Pharmaceutical Sciences. 98(3). 861–893. 507 indexed citations breakdown →
15.
Ostermann, Claude, et al.. (2003). The Compressed Feature Matrix—a novel descriptor for adaptive similarity search. Journal of Molecular Modeling. 9(1). 66–75. 6 indexed citations
16.
Ostermann, Claude, et al.. (2003). Using the COSYMA System for the Discovery of Synthesis Strategies by Analogy. European Journal of Organic Chemistry. 2003(10). 1983–1992. 2 indexed citations
17.
Ostermann, Claude, et al.. (1997). Evolution of the Concept of Synthesis Strategy in the COSYMA System: Introduction of the Synthesis Invariant. Liebigs Annalen. 1997(7). 1401–1406. 4 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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