Peter Schmidtke
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
- Molecular Biology top 5%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Receptor Mechanisms and Signaling
- Chemical Synthesis and Analysis
Papers in
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- Protein Structure and Dynamics 8
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- Computational Drug Discovery Methods 8
- Co-authors
- Vincent Le Guilloux (2 shared papers)Pierre Tufféry (2 shared papers)Xavier Barril (8 shared papers)F. Javier Luque (4 shared papers)Axel Bidon‐Chanal (3 shared papers)Fred Zepp (7 shared papers)Julien Maupetit (1 shared paper)Sergio Ruiz‐Carmona (3 shared papers)
In The Last Decade
Peter Schmidtke
26 papers receiving 3.2k citations
Peter Schmidtke's Hit Papers
Peers
Comparison fields: 5 of 135
- Computational Theory and Mathematics 1.1k
- Molecular Biology 2.3k
- Pharmacology 355
- Microbiology 88
- Pharmacology 113
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 26 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 | 1048 |
| 2 | rDock: A Fast, Versatile and Open Source Program for Docking Ligands to Proteins and Nucleic Acids Hit paper breakdown → | 2014 | 409 |
| 3 | 2011 | 277 | |
| 4 | 2010 | 227 | |
| 5 | 2010 | 215 | |
| 6 | 2011 | 166 | |
| 7 | 2019 | 147 | |
| 8 | 2005 | 107 | |
| 9 | 2002 | 101 | |
| 10 | 2008 | 96 | |
| 11 | 1996 | 77 | |
| 12 | 2005 | 70 | |
| 13 | 2016 | 70 | |
| 14 | 2010 | 60 | |
| 15 | 2005 | 39 | |
| 16 | 2013 | 31 | |
| 17 | 2005 | 29 | |
| 18 | 2009 | 20 | |
| 19 | 2014 | 14 | |
| 20 | 2017 | 11 |
About Peter Schmidtke
Peter Schmidtke is a scholar working on Molecular Biology, Computational Theory and Mathematics, Pharmacology, Materials Chemistry and Organic Chemistry, having authored 26 papers that have together received 3.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Protein Structure and Dynamics (8 papers), Enzyme Structure and Function (4 papers), Microbial Natural Products and Biosynthesis (3 papers), Crystallography and molecular interactions (2 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers) and Herbal Medicine Research Studies (2 papers). The work is most often cited by research in Computational Theory and Mathematics (1.1k citations), Molecular Biology (2.3k citations), Pharmacology (355 citations), Microbiology (88 citations) and Pharmacology (113 citations). Peter Schmidtke has collaborated with scholars based in Germany, Spain and France. Frequent co-authors include Vincent Le Guilloux, Pierre Tufféry, Xavier Barril, F. Javier Luque, Axel Bidon‐Chanal, Fred Zepp, Julien Maupetit, Sergio Ruiz‐Carmona, Claudius U. Meyer and Alexandre G. de Brevern. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Medicinal Chemistry, Journal of Chemical Information and Modeling, Pediatric Rheumatology and Nature 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.