Ryan Day

1.7k total citations
29 papers, 1.4k citations indexed

About

Ryan Day is a scholar working on Molecular Biology, Materials Chemistry and Physiology. According to data from OpenAlex, Ryan Day has authored 29 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 14 papers in Materials Chemistry and 6 papers in Physiology. Recurrent topics in Ryan Day's work include Protein Structure and Dynamics (18 papers), Enzyme Structure and Function (14 papers) and Alzheimer's disease research and treatments (5 papers). Ryan Day is often cited by papers focused on Protein Structure and Dynamics (18 papers), Enzyme Structure and Function (14 papers) and Alzheimer's disease research and treatments (5 papers). Ryan Day collaborates with scholars based in United States, United Kingdom and Canada. Ryan Day's co-authors include Valerie Daggett, Angel E. Garcı́a, Dietmar Paschek, Sihyun Ham, Brian J. Bennion, Roger S. Armen, David A. C. Beck, Alan R. Fersht, Per Jemth and Stefano Gianni and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

In The Last Decade

Ryan Day

29 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan Day United States 19 1.2k 617 177 145 138 29 1.4k
Mourad Sadqi United States 15 1.1k 0.9× 673 1.1× 144 0.8× 192 1.3× 115 0.8× 30 1.2k
Gia G. Maisuradze United States 21 1.1k 0.9× 473 0.8× 135 0.8× 288 2.0× 147 1.1× 48 1.5k
Zachary S. Hendsch United States 12 1.3k 1.1× 543 0.9× 271 1.5× 152 1.0× 241 1.7× 12 1.6k
Christopher M. Dobson United Kingdom 12 1.2k 1.0× 580 0.9× 268 1.5× 79 0.5× 121 0.9× 12 1.4k
Roger S. Armen United States 18 1.2k 1.0× 216 0.4× 115 0.6× 124 0.9× 187 1.4× 38 1.6k
Shinya Honda Japan 22 1.5k 1.3× 514 0.8× 233 1.3× 204 1.4× 64 0.5× 106 1.9k
Fang Tian United States 23 1.1k 0.9× 322 0.5× 446 2.5× 93 0.6× 133 1.0× 59 1.5k
Atsuo Tamura Japan 22 1.3k 1.1× 437 0.7× 210 1.2× 184 1.3× 95 0.7× 65 1.8k
Timothy Sharpe Switzerland 22 1.1k 1.0× 368 0.6× 120 0.7× 96 0.7× 139 1.0× 43 1.4k
Stephan Schwarzinger Germany 20 1.4k 1.1× 460 0.7× 271 1.5× 33 0.2× 132 1.0× 44 1.7k

Countries citing papers authored by Ryan Day

Since Specialization
Citations

This map shows the geographic impact of Ryan 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 Ryan Day with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Day more than expected).

Fields of papers citing papers by Ryan Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan 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 Ryan Day. The network helps show where Ryan Day may publish in the future.

Co-authorship network of co-authors of Ryan Day

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

All Works

20 of 20 papers shown
1.
Day, Ryan, et al.. (2020). Transcriptome Analyses in BV2 Microglial Cells Following Treatment With Amino-Terminal Fragments of Apolipoprotein E. Frontiers in Aging Neuroscience. 12. 256–256. 9 indexed citations
2.
Day, Ryan, et al.. (2019). Giant hepatic cyst as a cause of gastric outlet obstruction. SHILAP Revista de lepidopterología. 14(9). 1088–1092. 3 indexed citations
3.
Day, Ryan, et al.. (2019). A Fragment of Apolipoprotein E4 Leads to the Downregulation of a CXorf56 Homologue, a Novel ER-Associated Protein, and Activation of BV2 Microglial Cells. Oxidative Medicine and Cellular Longevity. 2019. 1–13. 6 indexed citations
4.
Dahl, David B., Ryan Day, & Jerry Tsai. (2016). Random Partition Distribution Indexed by Pairwise Information. Journal of the American Statistical Association. 112(518). 721–732. 25 indexed citations
5.
Day, Ryan, et al.. (2015). Caspase-Cleaved Tau Co-Localizes with Early Tangle Markers in the Human Vascular Dementia Brain. PLoS ONE. 10(7). e0132637–e0132637. 30 indexed citations
6.
Rohn, Troy T., et al.. (2013). Immunolocalization of an Amino-Terminal Fragment of Apolipoprotein E in the Pick's Disease Brain. PLoS ONE. 8(12). e80180–e80180. 8 indexed citations
7.
Joo, Hyun, et al.. (2012). An Amino Acid Packing Code for α-Helical Structure and Protein Design. Journal of Molecular Biology. 419(3-4). 234–254. 20 indexed citations
8.
Joshi, Amit, Vincent Kwok‐Man Poon, Dhananjoy Mondal, et al.. (2011). Structure-Based Design of a Heptavalent Anthrax Toxin Inhibitor. Biomacromolecules. 12(3). 791–796. 33 indexed citations
9.
Paschek, Dietmar, Ryan Day, & Angel E. Garcı́a. (2011). Influence of water–protein hydrogen bonding on the stability of Trp-cage miniprotein. A comparison between the TIP3P and TIP4P-Ew water models. Physical Chemistry Chemical Physics. 13(44). 19840–19840. 68 indexed citations
10.
Joo, Hyun, Archana G. Chavan, Ryan Day, et al.. (2011). Near-Native Protein Loop Sampling Using Nonparametric Density Estimation Accommodating Sparcity. PLoS Computational Biology. 7(10). e1002234–e1002234. 5 indexed citations
11.
Dahl, David B., et al.. (2010). A Dirichlet process mixture of hidden Markov models for protein structure prediction. 14 indexed citations
12.
Day, Ryan, Dietmar Paschek, & Angel E. Garcı́a. (2010). Microsecond simulations of the folding/unfolding thermodynamics of the Trp‐cage miniprotein. Proteins Structure Function and Bioinformatics. 78(8). 1889–1899. 161 indexed citations
13.
Beck, David A. C., Amanda L. Jonsson, R. Dustin Schaeffer, et al.. (2008). Dynameomics: mass annotation of protein dynamics and unfolding in water by high-throughput atomistic molecular dynamics simulations. Protein Engineering Design and Selection. 21(6). 353–368. 55 indexed citations
14.
Sgourakis, Nikolaos G., Ryan Day, Scott A. McCallum, & Angel E. Garcı́a. (2008). Pressure Effects on the Ensemble Dynamics of Ubiquitin Inspected with Molecular Dynamics Simulations and Isotropic Reorientational Eigenmode Dynamics. Biophysical Journal. 95(8). 3943–3955. 11 indexed citations
15.
Day, Ryan & Angel E. Garcı́a. (2007). Water penetration in the low and high pressure native states of ubiquitin. Proteins Structure Function and Bioinformatics. 70(4). 1175–1184. 62 indexed citations
16.
Day, Ryan & Valerie Daggett. (2006). Direct Observation of Microscopic Reversibility in Single-molecule Protein Folding. Journal of Molecular Biology. 366(2). 677–686. 51 indexed citations
17.
Ferguson, Neil, Ryan Day, C. Mark Johnson, et al.. (2005). Simulation and Experiment at High Temperatures: Ultrafast Folding of a Thermophilic Protein by Nucleation-condensation. Journal of Molecular Biology. 347(4). 855–870. 43 indexed citations
18.
Jemth, Per, Ryan Day, Stefano Gianni, et al.. (2005). The Structure of the Major Transition State for Folding of an FF Domain from Experiment and Simulation. Journal of Molecular Biology. 350(2). 363–378. 64 indexed citations
19.
Day, Ryan & Valerie Daggett. (2005). Sensitivity of the folding/unfolding transition state ensemble of chymotrypsin inhibitor 2 to changes in temperature and solvent. Protein Science. 14(5). 1242–1252. 45 indexed citations
20.
Day, Ryan, David A. C. Beck, Roger S. Armen, & Valerie Daggett. (2003). A consensus view of fold space: Combining SCOP, CATH, and the Dali Domain Dictionary. Protein Science. 12(10). 2150–2160. 105 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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