Tyler Day
- Computational Theory and Mathematics top 0.05%
- Computational Drug Discovery Methods 7
- Molecular Biology top 0.5%
- Protein Structure and Dynamics 6
- Chemical Synthesis and Analysis 4
- Organic Chemistry top 1%
- Click Chemistry and Applications 3
- Toxicology top 0.5%
- Pharmacology top 0.5%
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- Spectroscopy and Quantum Chemical Studies 10
- Advanced Chemical Physics Studies 5
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- Photochemistry and Electron Transfer Studies 6
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- Monoclonal and Polyclonal Antibodies Research 4
- Co-authors
- Woody ShermanG. Madhavi SastryRichard A. FriesnerMatthew P. JacobsonRamy FaridDavid L. PincusDavid E. ShawChaya S. Rapp
- Journals
- The Journal of Chemical Physics (7 papers)Proteins Structure Function and Bioinformatics (4 papers)Journal of Medicinal Chemistry (2 papers)
- Partner nations
- United StatesCanadaSweden
In The Last Decade
Tyler Day
23 papers receiving 10.3k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Computational Theory and Mathematics 2.7k
- Molecular Biology 6.1k
- Organic Chemistry 1.9k
- Toxicology 225
- Pharmacology 1.0k
Countries citing papers authored by Tyler Day
This map shows the geographic impact of Tyler Day'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 Tyler Day with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tyler Day more than expected).
Fields of papers citing papers by Tyler Day
This network shows the impact of papers produced by Tyler Day. 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 Tyler Day. The network helps show where Tyler Day may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tyler Day, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2018 | 43 | |
| 3 | 2018 | 87 | |
| 4 | 2017 | 71 | |
| 5 | 2014 | 328 | |
| 6 | 2014 | 163 | |
| 7 | 2013 | 24 | |
| 8 | Protein and ligand preparation: parameters, protocols, and influence on virtual screening enrichmentsbreakdown → | 2013 | 4430 |
| 9 | 2006 | 406 | |
| 10 | 2006 | 70 | |
| 11 | 2005 | 157 | |
| 12 | 2005 | 92 | |
| 13 | Novel Procedure for Modeling Ligand/Receptor Induced Fit Effectsbreakdown → | 2005 | 1594 |
| 14 | A hierarchical approach to all‐atom protein loop predictionbreakdown → | 2004 | 1915 |
| 15 | 2004 | 241 | |
| 16 | 2002 | 262 | |
| 17 | 1999 | 74 | |
| 18 | 1998 | 46 | |
| 19 | 1998 | 37 | |
| 20 | 1997 | 40 |
About Tyler Day
Tyler Day is a scholar working on Physical and Theoretical Chemistry, Computational Theory and Mathematics and Fluid Flow and Transfer Processes, having authored 24 papers that have together received 10.4k indexed citations. Recurring topics across this work include Spectroscopy and Quantum Chemical Studies (10 papers), Computational Drug Discovery Methods (7 papers), Protein Structure and Dynamics (6 papers), Photochemistry and Electron Transfer Studies (6 papers), Advanced Chemical Physics Studies (5 papers), Chemical Synthesis and Analysis (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Click Chemistry and Applications (3 papers). The work is most often cited by research in Computational Theory and Mathematics (2.7k citations), Molecular Biology (6.1k citations) and Organic Chemistry (1.9k citations). Tyler Day has collaborated with scholars based in United States, Canada and Sweden. Frequent co-authors include Woody Sherman, G. Madhavi Sastry, Richard A. Friesner, Matthew P. Jacobson, Ramy Farid, David L. Pincus, David E. Shaw, Chaya S. Rapp, Barry Honig and Gregory A. Voth. Their work appears in journals such as The Journal of Chemical Physics, Proteins Structure Function and Bioinformatics, Journal of Medicinal Chemistry, Journal of Chemical Information and Modeling and Journal of the American Chemical Society.
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.