Paul C. Sanschagrin
- Molecular Biology top 1%
- Computational Theory and Mathematics top 0.1%
- Organic Chemistry top 1%
- Oncology top 5%
- Pharmacology top 1%
- Co-authors
- Jeremy R. GreenwoodMatthew P. RepaskyRichard A. FriesnerThomas A. HalgrenRobert B. MurphyDaniel T. MainzLeah L. FryePiotr Sliz
- Topics
- Computational Drug Discovery Methods (7 papers)Protein Structure and Dynamics (6 papers)Click Chemistry and Applications (2 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Molecular BiologyJournal of Medicinal Chemistry
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Paul C. Sanschagrin
14 papers receiving 6.8k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Molecular Biology 4.3k
- Computational Theory and Mathematics 2.0k
- Organic Chemistry 1.4k
- Oncology 754
- Pharmacology 728
Countries citing papers authored by Paul C. Sanschagrin
This map shows the geographic impact of Paul C. Sanschagrin'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 Paul C. Sanschagrin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul C. Sanschagrin more than expected).
Fields of papers citing papers by Paul C. Sanschagrin
This network shows the impact of papers produced by Paul C. Sanschagrin. 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 Paul C. Sanschagrin. The network helps show where Paul C. Sanschagrin may publish in the future.
Co-authorship network of co-authors of Paul C. Sanschagrin
This figure shows the co-authorship network connecting the top 25 collaborators of Paul C. Sanschagrin. A scholar is included among the top collaborators of Paul C. Sanschagrin 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 Paul C. Sanschagrin. Paul C. Sanschagrin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 30 | |
| 3 | Collaboration gets the most out of softwarebreakdown → | 758 |
| 4 | 63 | |
| 5 | 58 | |
| 6 | 88 | |
| 7 | 42 | |
| 8 | Extra Precision Glide: Docking and Scoring Incorporating a Model of Hydrophobic Enclosure for Protein−Ligand Complexesbreakdown → | 5413 |
| 9 | 75 | |
| 10 | 70 | |
| 11 | 68 | |
| 12 | 75 | |
| 13 | 121 | |
| 14 | Simultaneous Feature Extraction and Selection Using a Masking Genetic Algorithm | 19 |
About Paul C. Sanschagrin
Paul C. Sanschagrin is a scholar working on Computational Theory and Mathematics, Information Systems and Management and Molecular Biology, having authored 14 papers that have together received 6.9k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Protein Structure and Dynamics (6 papers) and Click Chemistry and Applications (2 papers). The work is most often cited by research in Computational Theory and Mathematics (2.0k citations), Molecular Biology (4.3k citations) and Toxicology (174 citations). Paul C. Sanschagrin has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Jeremy R. Greenwood, Matthew P. Repasky, Richard A. Friesner, Thomas A. Halgren, Robert B. Murphy, Daniel T. Mainz, Leah L. Frye, Piotr Sliz, Andrew Morin and Jason Key. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Molecular Biology and Journal of Medicinal 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.