Peter Ertl
Impact in
- Computational Theory and Mathematics top 0.05%
- Computational Drug Discovery Methods
- Organic Chemistry top 0.5%
- Synthesis and biological activity
- Click Chemistry and Applications
Papers in
-
- Computational Drug Discovery Methods 60
- Co-authors
- Paul M. SelzerAnsgar SchuffenhauerBernhard RohdeSilvio RoggoTim SchuhmannHerbert WaldmannStefan WetzelIgor V. Tetko
- Journals
- Journal of Chemical Information and Modeling (14 papers)Journal of Cheminformatics (9 papers)Journal of Medicinal Chemistry (6 papers)CHIMIA International Journal for Chemistry (5 papers)Bioorganic & Medicinal Chemistry (5 papers)
- Partner nations
- SwitzerlandSlovakiaUnited Kingdom
In The Last Decade
Peter Ertl
133 papers receiving 9.7k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Computational Theory and Mathematics 4.1k
- Organic Chemistry 3.4k
- Pharmacology 1.5k
- Molecular Biology 4.3k
- Spectroscopy 993
Countries citing papers authored by Peter Ertl
This map shows the geographic impact of Peter Ertl'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 Peter Ertl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Ertl more than expected).
Fields of papers citing papers by Peter Ertl
This network shows the impact of papers produced by Peter Ertl. 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 Peter Ertl. The network helps show where Peter Ertl may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Ertl, 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 | 2023 | 19 | |
| 2 | 2023 | 4 | |
| 3 | 2021 | 18 | |
| 4 | 2021 | 21 | |
| 5 | 2021 | 3 | |
| 6 | 2020 | 29 | |
| 7 | 2019 | 16 | |
| 8 | 2019 | 1 | |
| 9 | 2013 | 220 | |
| 10 | 2012 | 64 | |
| 11 | 2012 | 43 | |
| 12 | 2012 | 19 | |
| 13 | 2010 | 70 | |
| 14 | 2009 | 106 | |
| 15 | 2008 | 45 | |
| 16 | 2007 | 127 | |
| 17 | Virtual Computational Chemistry Laboratory – Design and Description Hit paper breakdown → | 2005 | 1267 |
| 18 | 2003 | 22 | |
| 19 | 2003 | 23 | |
| 20 | 1989 | 4 |
About Peter Ertl
Peter Ertl is a scholar working on Computational Theory and Mathematics, Physical and Theoretical Chemistry, Pharmaceutical Science, Spectroscopy and Pharmacology, having authored 134 papers that have together received 10.0k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (60 papers), Microbial Natural Products and Biosynthesis (21 papers), Analytical Chemistry and Chromatography (18 papers), Chemical Synthesis and Analysis (12 papers), Chemistry and Chemical Engineering (11 papers), Plant biochemistry and biosynthesis (10 papers), Organic Chemistry Cycloaddition Reactions (9 papers) and Fluorine in Organic Chemistry (8 papers). The work is most often cited by research in Computational Theory and Mathematics (4.1k citations), Organic Chemistry (3.4k citations), Pharmacology (1.5k citations), Molecular Biology (4.3k citations) and Spectroscopy (993 citations). Peter Ertl has collaborated with scholars based in Switzerland, Slovakia and United Kingdom. Frequent co-authors include Paul M. Selzer, Ansgar Schuffenhauer, Bernhard Rohde, Silvio Roggo, Tim Schuhmann, Herbert Waldmann, Stefan Wetzel, Igor V. Tetko, Bruno Bienfait and Andrea Mauri. Their work appears in journals such as Journal of Chemical Information and Modeling, Journal of Cheminformatics, Journal of Medicinal Chemistry, CHIMIA International Journal for Chemistry and Bioorganic & Medicinal 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.