Peter Schmidtke
Impact in
- Computational Theory and Mathematics top 0.2%
- Computational Drug Discovery Methods
- Molecular Biology top 5%
- Protein Structure and Dynamics
- Receptor Mechanisms and Signaling
- Machine Learning in Bioinformatics
Papers in
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- Computational Drug Discovery Methods 13
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- Bacterial Infections and Vaccines 2
- Co-authors
- Pierre Tufféry (2 shared papers)Vincent Le Guilloux (2 shared papers)Xavier Barril (8 shared papers)Francisco Javier Luque (4 shared papers)Axel Bidon‐Chanal (3 shared papers)Fred Zepp (8 shared papers)Sergio Ruiz Carmona (3 shared papers)Julien Maupetit (1 shared paper)
In The Last Decade
Peter Schmidtke
28 papers receiving 3.6k citations
Peter Schmidtke's Hit Papers
Peers
Comparison fields: 5 of 114
- Computational Theory and Mathematics 1.7k
- Molecular Biology 1.3k
- Pharmacology 217
- Microbiology 89
- Physical and Theoretical Chemistry 90
Countries citing papers authored by Peter Schmidtke
This map shows the geographic impact of Peter Schmidtke'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 Schmidtke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Schmidtke more than expected).
Fields of papers citing papers by Peter Schmidtke
This network shows the impact of papers produced by Peter Schmidtke. 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 Schmidtke. The network helps show where Peter Schmidtke may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Schmidtke, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Fpocket: An open source platform for ligand pocket detection Hit paper breakdown → | 2009 | 1185 |
| 2 | rDock: A Fast, Versatile and Open Source Program for Docking Ligands to Proteins and Nucleic Acids Hit paper breakdown → | 2014 | 491 |
| 3 | 2011 | 312 | |
| 4 | 2010 | 256 | |
| 5 | 2010 | 240 | |
| 6 | 2011 | 175 | |
| 7 | 2019 | 166 | |
| 8 | 2005 | 114 | |
| 9 | 2002 | 108 | |
| 10 | 2008 | 103 | |
| 11 | MELLODDY: Cross-pharma Federated Learning at Unprecedented Scale Unlocks Benefits in QSAR without Compromising Proprietary Information Hit paper breakdown → | 2023 | 100 |
| 12 | 1996 | 87 | |
| 13 | 2016 | 79 | |
| 14 | 2005 | 77 | |
| 15 | 2010 | 64 | |
| 16 | 2005 | 40 | |
| 17 | 2005 | 37 | |
| 18 | 2023 | 31 | |
| 19 | 2009 | 20 | |
| 20 | 2014 | 14 |
About Peter Schmidtke
Peter Schmidtke is a scholar working on Computational Theory and Mathematics, Microbiology, Physical and Theoretical Chemistry, Pharmacology and Immunology, having authored 29 papers that have together received 3.7k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (13 papers), Protein Structure and Dynamics (4 papers), Privacy-Preserving Technologies in Data (2 papers), Fungal Biology and Applications (2 papers), Bacterial Infections and Vaccines (2 papers), Crystallography and molecular interactions (2 papers), Hepatitis Viruses Studies and Epidemiology (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Computational Theory and Mathematics (1.7k citations), Molecular Biology (1.3k citations), Pharmacology (217 citations), Microbiology (89 citations) and Physical and Theoretical Chemistry (90 citations). Peter Schmidtke has collaborated with scholars based in Germany, Spain and France. Frequent co-authors include Pierre Tufféry, Vincent Le Guilloux, Xavier Barril, Francisco Javier Luque, Axel Bidon‐Chanal, Fred Zepp, Sergio Ruiz Carmona, Julien Maupetit, Nicolas Ken Shinada and Alexandre G. de Brevern. Their work appears in journals such as Journal of Chemical Information and Modeling, International Journal of Molecular Sciences, Journal of Medicinal Chemistry, Nucleic Acids Research and BMC Bioinformatics.
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.