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
Papers in
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- Protein Structure and Dynamics 6
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- Computational Drug Discovery Methods 7
- 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 (8 shared papers)Sergio Ruiz‐Carmona (3 shared papers)Julien Maupetit (1 shared paper)
In The Last Decade
Peter Schmidtke
26 papers receiving 3.4k citations
Peter Schmidtke's Hit Papers
Peers
Comparison fields: 5 of 131
- Computational Theory and Mathematics 1.2k
- Molecular Biology 2.3k
- Pharmacology 368
- Microbiology 96
- Pharmacology 118
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 27 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 | 1126 |
| 2 | rDock: A Fast, Versatile and Open Source Program for Docking Ligands to Proteins and Nucleic Acids Hit paper breakdown → | 2014 | 459 |
| 3 | 2011 | 298 | |
| 4 | 2010 | 245 | |
| 5 | 2010 | 228 | |
| 6 | 2011 | 170 | |
| 7 | 2019 | 154 | |
| 8 | 2005 | 113 | |
| 9 | 2002 | 107 | |
| 10 | 2008 | 100 | |
| 11 | 1996 | 88 | |
| 12 | 2016 | 76 | |
| 13 | 2005 | 71 | |
| 14 | 2010 | 62 | |
| 15 | 2005 | 40 | |
| 16 | 2005 | 37 | |
| 17 | 2013 | 32 | |
| 18 | 2009 | 20 | |
| 19 | 2014 | 15 | |
| 20 | 2017 | 11 |
About Peter Schmidtke
Peter Schmidtke is a scholar working on Molecular Biology, Computational Theory and Mathematics, Pharmacology, Cardiology and Cardiovascular Medicine and Immunology, having authored 27 papers that have together received 3.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Protein Structure and Dynamics (6 papers), Microbial Natural Products and Biosynthesis (3 papers), Bacterial Infections and Vaccines (2 papers), Immunotherapy and Immune Responses (2 papers), Enzyme Structure and Function (2 papers), Fungal Biology and Applications (2 papers) and Crystallography and molecular interactions (2 papers). The work is most often cited by research in Computational Theory and Mathematics (1.2k citations), Molecular Biology (2.3k citations), Pharmacology (368 citations), Microbiology (96 citations) and Pharmacology (118 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, Sergio Ruiz‐Carmona, Julien Maupetit, Claudius U. Meyer and Daniel Álvarez-García. Their work appears in journals such as Journal of Medicinal Chemistry, International Journal of Molecular Sciences, Journal of Chemical Information and Modeling, Bioinformatics and Infection and Immunity.
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.