Gisbert Schneider
- Molecular Biology top 0.2%
- Computational Theory and Mathematics top 0.01%
- Materials Chemistry top 1%
- Organic Chemistry top 0.5%
- Pharmacology top 0.1%
- Co-authors
- Petra SchneiderJan A. HissUli FechnerDaniel RekerTiago RodriguesChristopher D. FjellRobert E. W. HancockFrancesca Grisoni
- Topics
- Computational Drug Discovery Methods (238 papers)Chemical Synthesis and Analysis (99 papers)Microbial Natural Products and Biosynthesis (51 papers)
- Journals
- Chemical ReviewsProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- SwitzerlandGermanyAustria
In The Last Decade
Gisbert Schneider
446 papers receiving 22.2k citations
Hit Papers
Peers
Comparison fields: 5 of 211
- Molecular Biology 13.3k
- Computational Theory and Mathematics 10.2k
- Materials Chemistry 3.7k
- Organic Chemistry 3.3k
- Pharmacology 2.9k
Countries citing papers authored by Gisbert Schneider
This map shows the geographic impact of Gisbert 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 Gisbert Schneider with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gisbert Schneider more than expected).
Fields of papers citing papers by Gisbert Schneider
This network shows the impact of papers produced by Gisbert 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 Gisbert Schneider. The network helps show where Gisbert Schneider may publish in the future.
Co-authorship network of co-authors of Gisbert Schneider
This figure shows the co-authorship network connecting the top 25 collaborators of Gisbert Schneider. A scholar is included among the top collaborators of Gisbert 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 Gisbert Schneider. Gisbert 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 | 0 | |
| 2 | 1 | |
| 3 | 11 | |
| 4 | 6 | |
| 5 | 44 | |
| 6 | 4 | |
| 7 | 11 | |
| 8 | 11 | |
| 9 | 50 | |
| 10 | Integrating QSAR modelling and deep learning in drug discovery: the emergence of deep QSARbreakdown → | 145 |
| 11 | 8 | |
| 12 | 3 | |
| 13 | 3 | |
| 14 | 43 | |
| 15 | 246 | |
| 16 | 4 | |
| 17 | 70 | |
| 18 | 61 | |
| 19 | 17 | |
| 20 | 111 |
About Gisbert Schneider
Gisbert Schneider is a scholar working on Computational Theory and Mathematics, Molecular Biology and Pharmacology, having authored 453 papers that have together received 22.9k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (238 papers), Chemical Synthesis and Analysis (99 papers) and Microbial Natural Products and Biosynthesis (51 papers). The work is most often cited by research in Computational Theory and Mathematics (10.2k citations), Microbiology (2.1k citations) and Molecular Biology (13.3k citations). Gisbert Schneider has collaborated with scholars based in Switzerland, Germany and Austria. Frequent co-authors include Petra Schneider, Jan A. Hiss, Uli Fechner, Daniel Reker, Tiago Rodrigues, Christopher D. Fjell, Robert E. W. Hancock, Francesca Grisoni, Paul Wrede and Evgeny Byvatov. Their work appears in journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.