Matthew T. Stahl
- Molecular Biology top 10%
- Computational Theory and Mathematics top 0.5%
- Organic Chemistry top 5%
- Materials Chemistry
- Pharmacology top 5%
- Co-authors
- Benjamin A. EllingsonA. Geoffrey SkillmanPaul C. D. HawkinsGregory L. WarrenW. Patrick WaltersMark A. MurckoTimothy M. GreggEugene A. Mash
- Topics
- Computational Drug Discovery Methods (2 papers)Catalysis for Biomass Conversion (2 papers)Cyclopropane Reaction Mechanisms (2 papers)
- Journals
- The Journal of Organic ChemistryDrug Discovery TodayJournal of Chemical Information and Modeling
- Partner nations
- United States
In The Last Decade
Matthew T. Stahl
7 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Molecular Biology 1.2k
- Computational Theory and Mathematics 1.0k
- Organic Chemistry 405
- Materials Chemistry 294
- Pharmacology 230
Countries citing papers authored by Matthew T. Stahl
This map shows the geographic impact of Matthew T. Stahl'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 Matthew T. Stahl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew T. Stahl more than expected).
Fields of papers citing papers by Matthew T. Stahl
This network shows the impact of papers produced by Matthew T. Stahl. 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 Matthew T. Stahl. The network helps show where Matthew T. Stahl may publish in the future.
Co-authorship network of co-authors of Matthew T. Stahl
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew T. Stahl. A scholar is included among the top collaborators of Matthew T. Stahl 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 Matthew T. Stahl. Matthew T. Stahl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Conformer Generation with OMEGA: Algorithm and Validation Using High Quality Structures from the Protein Databank and Cambridge Structural Databasebreakdown → | 1278 |
| 2 | 14 | |
| 3 | 1 | |
| 4 | Virtual screening—an overviewbreakdown → | 698 |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 1 |
About Matthew T. Stahl
Matthew T. Stahl is a scholar working on Computational Theory and Mathematics, Organic Chemistry and Biomedical Engineering, having authored 7 papers that have together received 2.0k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (2 papers), Catalysis for Biomass Conversion (2 papers) and Cyclopropane Reaction Mechanisms (2 papers). The work is most often cited by research in Computational Theory and Mathematics (1.0k citations), Molecular Biology (1.2k citations) and Organic Chemistry (405 citations). Matthew T. Stahl has collaborated with scholars based in United States. Frequent co-authors include Benjamin A. Ellingson, A. Geoffrey Skillman, Paul C. D. Hawkins, Gregory L. Warren, W. Patrick Walters, Mark A. Murcko, Timothy M. Gregg, Eugene A. Mash and Daniel P. Dolata. Their work appears in journals such as The Journal of Organic Chemistry, Drug Discovery Today and Journal of Chemical Information and Modeling.
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.