Petra Schneider
- Molecular Biology top 2%
- Computational Theory and Mathematics top 0.1%
- Organic Chemistry top 2%
- Pharmacology top 0.5%
- Materials Chemistry top 5%
- Co-authors
- Gisbert SchneiderTiago RodriguesDaniel RekerMichael BiehlBarbara HammerMichael ReutlingerYusuf TanrıkuluSteffen Renner
- Topics
- Computational Drug Discovery Methods (66 papers)Chemical Synthesis and Analysis (32 papers)Microbial Natural Products and Biosynthesis (29 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyAngewandte Chemie International Edition
- Partner nations
- SwitzerlandGermanyNetherlands
In The Last Decade
Petra Schneider
134 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Molecular Biology 3.1k
- Computational Theory and Mathematics 2.6k
- Organic Chemistry 1.0k
- Pharmacology 996
- Materials Chemistry 847
Countries citing papers authored by Petra Schneider
This map shows the geographic impact of Petra Schneider'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 Petra Schneider with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Petra Schneider more than expected).
Fields of papers citing papers by Petra Schneider
This network shows the impact of papers produced by Petra Schneider. 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 Petra Schneider. The network helps show where Petra Schneider may publish in the future.
Co-authorship network of co-authors of Petra Schneider
This figure shows the co-authorship network connecting the top 25 collaborators of Petra Schneider. A scholar is included among the top collaborators of Petra Schneider 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 Petra Schneider. Petra Schneider is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 44 | |
| 3 | 119 | |
| 4 | 35 | |
| 5 | 28 | |
| 6 | 75 | |
| 7 | Multivariate class labeling in Robust Soft LVQ | 4 |
| 8 | 14 | |
| 9 | 33 | |
| 10 | 49 | |
| 11 | 11 | |
| 12 | 66 | |
| 13 | 24 | |
| 14 | Matrix Adaptation in Discriminative Vector Quantization | 1 |
| 15 | Discriminative visualization by limited rank matrix learning | 13 |
| 16 | 16 | |
| 17 | 30 | |
| 18 | 90 | |
| 19 | 19 | |
| 20 | 73 |
About Petra Schneider
Petra Schneider is a scholar working on Computational Theory and Mathematics, Pharmacology and Microbiology, having authored 137 papers that have together received 5.9k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (66 papers), Chemical Synthesis and Analysis (32 papers) and Microbial Natural Products and Biosynthesis (29 papers). The work is most often cited by research in Computational Theory and Mathematics (2.6k citations), Pharmacology (996 citations) and Molecular Biology (3.1k citations). Petra Schneider has collaborated with scholars based in Switzerland, Germany and Netherlands. Frequent co-authors include Gisbert Schneider, Tiago Rodrigues, Daniel Reker, Michael Biehl, Barbara Hammer, Michael Reutlinger, Yusuf Tanrıkulu, Steffen Renner, Alex T. Müller and Jens A. Fuchs. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.
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.