Tyler Day

13.7k total citations · 3 hit papers
24 papers, 10.4k citations indexed

About

Tyler Day is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics. According to data from OpenAlex, Tyler Day has authored 24 papers receiving a total of 10.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Atomic and Molecular Physics, and Optics and 7 papers in Computational Theory and Mathematics. Recurrent topics in Tyler Day's work include Spectroscopy and Quantum Chemical Studies (10 papers), Computational Drug Discovery Methods (7 papers) and Protein Structure and Dynamics (6 papers). Tyler Day is often cited by papers focused on Spectroscopy and Quantum Chemical Studies (10 papers), Computational Drug Discovery Methods (7 papers) and Protein Structure and Dynamics (6 papers). Tyler Day collaborates with scholars based in United States, Canada and France. Tyler Day's co-authors include Woody Sherman, G. Madhavi Sastry, Richard A. Friesner, Matthew P. Jacobson, Ramy Farid, David E. Shaw, Chaya S. Rapp, David L. Pincus, Barry Honig and Gregory A. Voth and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Chemical Physics and The Journal of Physical Chemistry B.

In The Last Decade

Tyler Day

23 papers receiving 10.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Protein and ligand preparation: parameters, protocols, and influence on virtual screening enrichments

2013 4.4k citations G. Madhavi Sastry, Tyler Day et al. Journal of Computer-Aided Molecular Design profile →
A hierarchical approach to all‐atom protein loop prediction

2004 1.9k citations Matthew P. Jacobson, David L. Pincus et al. Proteins Structure Function and Bioinformatics profile →
Novel Procedure for Modeling Ligand/Receptor Induced Fit Effects

2005 1.6k citations Woody Sherman, Tyler Day et al. Journal of Medicinal Chemistry profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Tyler Day United States	22	6.1k	2.7k	1.9k	1.0k	1.0k	24	10.4k
Mee Shelley Canada	16	5.5k 0.9×	3.0k 1.1×	2.0k 1.1×	975 1.0×	848 0.8×	37	9.0k
Bernd Kuhn Switzerland	43	6.9k 1.1×	2.6k 0.9×	3.5k 1.9×	748 0.7×	1.3k 1.3×	109	12.7k
Wolfgang Damm United States	21	4.7k 0.8×	2.0k 0.7×	2.3k 1.2×	665 0.7×	676 0.7×	29	9.1k
Weiliang Zhu China	52	5.2k 0.9×	2.2k 0.8×	2.6k 1.4×	1.1k 1.1×	844 0.8×	404	11.3k
Matthew P. Jacobson United States	63	11.4k 1.9×	2.6k 1.0×	2.2k 1.2×	1.1k 1.1×	1.5k 1.5×	200	17.2k
Jay L. Banks United States	6	8.3k 1.4×	4.7k 1.7×	3.0k 1.6×	1.5k 1.5×	1.4k 1.4×	8	13.4k
Peter S. Shenkin United States	19	7.4k 1.2×	3.4k 1.2×	2.1k 1.1×	1.1k 1.0×	989 1.0×	28	11.1k
Jason K. Perry United States	28	5.5k 0.9×	3.1k 1.2×	1.9k 1.0×	993 1.0×	925 0.9×	60	10.3k
Chang‐Guo Zhan United States	53	4.5k 0.7×	1.8k 0.7×	2.7k 1.4×	2.0k 1.9×	634 0.6×	335	10.8k
Kaixian Chen China	58	7.5k 1.2×	3.5k 1.3×	2.9k 1.6×	1.3k 1.3×	932 0.9×	437	13.9k

Countries citing papers authored by Tyler Day

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Tyler Day

This figure shows the co-authorship network connecting the top 25 collaborators of Tyler Day. A scholar is included among the top collaborators of Tyler Day 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 Tyler Day. Tyler Day is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Bloomquist, Ryan F., et al.. (2025). Associations of time to the operating room on outcomes in odontogenic infection. BMC Oral Health. 25(1). 108–108.

Miller, Edward B., Robert B. Murphy, Dan Sindhikara, et al.. (2021). Reliable and Accurate Solution to the Induced Fit Docking Problem for Protein–Ligand Binding. Journal of Chemical Theory and Computation. 17(4). 2630–2639. 104 indexed citations

Zundert, Gydo C. P. van, Brandi M. Hudson, D.A. Keedy, et al.. (2018). qFit-ligand Reveals Widespread Conformational Heterogeneity of Drug-Like Molecules in X-Ray Electron Density Maps. Journal of Medicinal Chemistry. 61(24). 11183–11198. 43 indexed citations

Sankar, Kannan, Stanley R. Krystek, Stephen M. Carl, Tyler Day, & Johannes Maier. (2018). AggScore: Prediction of aggregation‐prone regions in proteins based on the distribution of surface patches. Proteins Structure Function and Bioinformatics. 86(11). 1147–1156. 87 indexed citations

Sindhikara, Dan, Steven A. Spronk, Tyler Day, et al.. (2017). Improving Accuracy, Diversity, and Speed with Prime Macrocycle Conformational Sampling. Journal of Chemical Information and Modeling. 57(8). 1881–1894. 71 indexed citations

Zhu, Kai, et al.. (2014). Antibody structure determination using a combination of homology modeling, energy‐based refinement, and loop prediction. Proteins Structure Function and Bioinformatics. 82(8). 1646–1655. 163 indexed citations

Zhu, Kai & Tyler Day. (2013). Ab initio structure prediction of the antibody hypervariable H3 loop. Proteins Structure Function and Bioinformatics. 81(6). 1081–1089. 24 indexed citations

Sastry, G. Madhavi, et al.. (2013). Protein and ligand preparation: parameters, protocols, and influence on virtual screening enrichments. Journal of Computer-Aided Molecular Design. 27(3). 221–234. 4430 indexed citations breakdown →

Farid, Ramy, Tyler Day, Richard A. Friesner, & Robert A. Pearlstein. (2006). New insights about HERG blockade obtained from protein modeling, potential energy mapping, and docking studies. Bioorganic & Medicinal Chemistry. 14(9). 3160–3173. 406 indexed citations

10.

Burnham, Christian J., Matt K. Petersen, Tyler Day, Srinivasan S. Iyengar, & Gregory A. Voth. (2006). The properties of ion-water clusters. II. Solvation structures of Na+, Cl−, and H+ clusters as a function of temperature. The Journal of Chemical Physics. 124(2). 24327–24327. 70 indexed citations

11.

Iyengar, Srinivasan S., Matt K. Petersen, Tyler Day, et al.. (2005). The properties of ion-water clusters. I. The protonated 21-water cluster. The Journal of Chemical Physics. 123(8). 84309–84309. 157 indexed citations

12.

Iyengar, Srinivasan S., Tyler Day, & Gregory A. Voth. (2005). On the amphiphilic behavior of the hydrated proton: an ab initio molecular dynamics study. International Journal of Mass Spectrometry. 241(2-3). 197–204. 92 indexed citations

13.

Sherman, Woody, Tyler Day, Matthew P. Jacobson, Richard A. Friesner, & Ramy Farid. (2005). Novel Procedure for Modeling Ligand/Receptor Induced Fit Effects. Journal of Medicinal Chemistry. 49(2). 534–553. 1594 indexed citations breakdown →

14.

Jacobson, Matthew P., David L. Pincus, Chaya S. Rapp, et al.. (2004). A hierarchical approach to all‐atom protein loop prediction. Proteins Structure Function and Bioinformatics. 55(2). 351–367. 1915 indexed citations breakdown →

15.

Petersen, Matt K., Srinivasan S. Iyengar, Tyler Day, & Gregory A. Voth. (2004). The Hydrated Proton at the Water Liquid/Vapor Interface. The Journal of Physical Chemistry B. 108(39). 14804–14806. 241 indexed citations

16.

Day, Tyler, Alexander V. Soudackov, Martin Čuma, Udo W. Schmitt, & Gregory A. Voth. (2002). A second generation multistate empirical valence bond model for proton transport in aqueous systems. The Journal of Chemical Physics. 117(12). 5839–5849. 262 indexed citations

17.

Day, Tyler & G. N. Patey. (1999). Ion solvation dynamics in water–methanol and water– dimethylsulfoxide mixtures. The Journal of Chemical Physics. 110(22). 10937–10944. 74 indexed citations

18.

Yoshimori, Akira, Tyler Day, & G. N. Patey. (1998). Theory of ion solvation dynamics in mixed dipolar solvents. The Journal of Chemical Physics. 109(8). 3222–3231. 46 indexed citations

19.

Yoshimori, Akira, Tyler Day, & G. N. Patey. (1998). An investigation of dynamical density functional theory for solvation in simple mixtures. The Journal of Chemical Physics. 108(15). 6378–6386. 37 indexed citations

20.

Day, Tyler & G. N. Patey. (1997). Ion solvation dynamics in binary mixtures. The Journal of Chemical Physics. 106(7). 2782–2791. 40 indexed citations

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.

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