Claude Ostermann
Impact in
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- Computational Drug Discovery Methods
- Spectroscopy top 5%
- Analytical Chemistry and Chromatography
Papers in
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- Chemical Synthesis and Analysis 3
- Machine Learning in Bioinformatics 2
-
- Computational Drug Discovery Methods 9
- Co-authors
- Igor V. Tetko (4 shared papers)Raimund Mannhold (3 shared papers)Gennadiy Poda (3 shared papers)Slava Ziegler (4 shared papers)Sonja Sievers (5 shared papers)Herbert Waldmann (5 shared papers)Axel Pahl (5 shared papers)Christopher D. Reinkemeier (1 shared paper)
- Journals
- Journal of Chemical Information and Modeling (2 papers)Angewandte Chemie International Edition (2 papers)Journal of Pharmaceutical Sciences (1 paper)Nature Chemistry (1 paper)European Journal of Organic Chemistry (1 paper)
- Partner nations
- GermanyFranceUnited States
In The Last Decade
Claude Ostermann
17 papers receiving 1.2k citations
Claude Ostermann's Hit Papers
Peers
Comparison fields: 5 of 141
- Computational Theory and Mathematics 397
- Spectroscopy 184
- Organic Chemistry 287
- Pharmacology 168
- Pharmacology 63
Countries citing papers authored by Claude Ostermann
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
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-authors
The 25 scholars most cited alongside Claude Ostermann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Calculation of Molecular Lipophilicity: State-of-the-Art and Comparison of LogP Methods on more than 96,000 Compounds Hit paper breakdown → | 2008 | 507 |
| 2 | 2015 | 233 | |
| 3 | 2018 | 96 | |
| 4 | 2019 | 81 | |
| 5 | 2019 | 76 | |
| 6 | 2009 | 31 | |
| 7 | 2011 | 27 | |
| 8 | 2009 | 25 | |
| 9 | 2011 | 23 | |
| 10 | 2019 | 22 | |
| 11 | 2019 | 18 | |
| 12 | 2009 | 14 | |
| 13 | 2012 | 7 | |
| 14 | 2003 | 6 | |
| 15 | 1997 | 4 | |
| 16 | 2003 | 2 | |
| 17 | 2010 | 1 |
About Claude Ostermann
Claude Ostermann is a scholar working on Molecular Biology, Computational Theory and Mathematics, Organic Chemistry, Pharmacology and Spectroscopy, having authored 17 papers that have together received 1.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Microbial Natural Products and Biosynthesis (6 papers), Chemical Synthesis and Analysis (3 papers), Machine Learning in Bioinformatics (2 papers), Analytical Chemistry and Chromatography (2 papers), Machine Learning in Materials Science (2 papers), Synthetic Organic Chemistry Methods (2 papers) and Click Chemistry and Applications (2 papers). The work is most often cited by research in Computational Theory and Mathematics (397 citations), Spectroscopy (184 citations), Organic Chemistry (287 citations), Pharmacology (168 citations) and Pharmacology (63 citations). Claude Ostermann has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Igor V. Tetko, Raimund Mannhold, Gennadiy Poda, Slava Ziegler, Sonja Sievers, Herbert Waldmann, Axel Pahl, Christopher D. Reinkemeier, Christian Unkelbach and M. García-Castro. Their work appears in journals such as Journal of Chemical Information and Modeling, Angewandte Chemie International Edition, Journal of Pharmaceutical Sciences, Nature Chemistry and European Journal of Organic Chemistry.
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.