Ansgar Schuffenhauer
- Computational Theory and Mathematics top 0.05%
- Molecular Biology top 2%
- Organic Chemistry top 2%
- Pharmacology top 0.5%
- Materials Chemistry top 5%
- Co-authors
- Peter ErtlEdgar JacobySilvio RoggoPierre AcklinHerbert WaldmannStefan WetzelPeter WillettМarcus A. Koch
- Topics
- Computational Drug Discovery Methods (36 papers)Microbial Natural Products and Biosynthesis (13 papers)Analytical Chemistry and Chromatography (9 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietySHILAP Revista de lepidopterología
- Partner nations
- SwitzerlandGermanyUnited Kingdom
In The Last Decade
Ansgar Schuffenhauer
56 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Computational Theory and Mathematics 2.9k
- Molecular Biology 2.7k
- Organic Chemistry 1.1k
- Pharmacology 1.0k
- Materials Chemistry 855
Countries citing papers authored by Ansgar Schuffenhauer
This map shows the geographic impact of Ansgar Schuffenhauer'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 Ansgar Schuffenhauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ansgar Schuffenhauer more than expected).
Fields of papers citing papers by Ansgar Schuffenhauer
This network shows the impact of papers produced by Ansgar Schuffenhauer. 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 Ansgar Schuffenhauer. The network helps show where Ansgar Schuffenhauer may publish in the future.
Co-authorship network of co-authors of Ansgar Schuffenhauer
This figure shows the co-authorship network connecting the top 25 collaborators of Ansgar Schuffenhauer. A scholar is included among the top collaborators of Ansgar Schuffenhauer 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 Ansgar Schuffenhauer. Ansgar Schuffenhauer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | 2 | |
| 3 | 18 | |
| 4 | 9 | |
| 5 | 104 | |
| 6 | 69 | |
| 7 | 22 | |
| 8 | 18 | |
| 9 | 22 | |
| 10 | 106 | |
| 11 | Estimation of synthetic accessibility score of drug-like molecules based on molecular complexity and fragment contributionsbreakdown → | 1124 |
| 12 | 45 | |
| 13 | 167 | |
| 14 | 205 | |
| 15 | 51 | |
| 16 | 18 | |
| 17 | 204 | |
| 18 | 239 | |
| 19 | 33 | |
| 20 | 26 |
About Ansgar Schuffenhauer
Ansgar Schuffenhauer is a scholar working on Computational Theory and Mathematics, Pharmacology and Spectroscopy, having authored 56 papers that have together received 4.8k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (36 papers), Microbial Natural Products and Biosynthesis (13 papers) and Analytical Chemistry and Chromatography (9 papers). The work is most often cited by research in Computational Theory and Mathematics (2.9k citations), Pharmacology (1.0k citations) and Organic Chemistry (1.1k citations). Ansgar Schuffenhauer has collaborated with scholars based in Switzerland, Germany and United Kingdom. Frequent co-authors include Peter Ertl, Edgar Jacoby, Silvio Roggo, Pierre Acklin, Herbert Waldmann, Stefan Wetzel, Peter Willett, Мarcus A. Koch, Khalil Azzaoui and Paul M. Selzer. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and SHILAP Revista de lepidopterología.
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.