Evan J. Arthur

678 total citations
16 papers, 520 citations indexed

About

Evan J. Arthur is a scholar working on Atomic and Molecular Physics, and Optics, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Evan J. Arthur has authored 16 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Atomic and Molecular Physics, and Optics, 7 papers in Molecular Biology and 6 papers in Materials Chemistry. Recurrent topics in Evan J. Arthur's work include Protein Structure and Dynamics (6 papers), Spectroscopy and Quantum Chemical Studies (6 papers) and Advanced Chemical Physics Studies (4 papers). Evan J. Arthur is often cited by papers focused on Protein Structure and Dynamics (6 papers), Spectroscopy and Quantum Chemical Studies (6 papers) and Advanced Chemical Physics Studies (4 papers). Evan J. Arthur collaborates with scholars based in United States. Evan J. Arthur's co-authors include Charles L. Brooks, Kevin J. Kubarych, John T. King, James Shee, Shiwei Zhang, Richard A. Friesner, David R. Reichman, Joseph D. Yesselman, Benjamin Rudshteyn and John L. Weber and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Physical Chemistry B and Journal of Computational Chemistry.

In The Last Decade

Evan J. Arthur

16 papers receiving 517 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Evan J. Arthur United States	13	296	217	170	98	45	16	520
Anna‐Pitschna E. Kunz Switzerland	9	271 0.9×	306 1.4×	157 0.9×	95 1.0×	71 1.6×	13	590
Eliot Boulanger Germany	11	231 0.8×	211 1.0×	87 0.5×	64 0.7×	88 2.0×	13	466
Wangshen Xie United States	9	450 1.5×	272 1.3×	125 0.7×	153 1.6×	103 2.3×	9	651
Xinsheng Jin China	9	169 0.6×	94 0.4×	192 1.1×	100 1.0×	64 1.4×	13	503
James W. Snyder United States	10	385 1.3×	109 0.5×	143 0.8×	117 1.2×	128 2.8×	16	648
Karin Kiewisch Switzerland	9	262 0.9×	79 0.4×	115 0.7×	123 1.3×	113 2.5×	10	417
Xavier Prat‐Resina Spain	12	235 0.8×	378 1.7×	115 0.7×	71 0.7×	84 1.9×	22	699
Toshiyuki Sato Japan	6	310 1.0×	361 1.7×	116 0.7×	173 1.8×	89 2.0×	6	733
Akshaya Kumar Das United States	14	360 1.2×	146 0.7×	291 1.7×	110 1.1×	123 2.7×	27	697
Laurence Leherte Belgium	14	126 0.4×	165 0.8×	233 1.4×	114 1.2×	68 1.5×	72	592

Countries citing papers authored by Evan J. Arthur

Since Specialization

Citations

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

Fields of papers citing papers by Evan J. Arthur

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Evan J. Arthur. 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 Evan J. Arthur. The network helps show where Evan J. Arthur may publish in the future.

Co-authorship network of co-authors of Evan J. Arthur

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

All Works

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16 of 16 papers shown

Weber, John L., Emily M. Churchill, Steffen Jockusch, et al.. (2020). In silico prediction of annihilators for triplet–triplet annihilation upconversion via auxiliary-field quantum Monte Carlo. Chemical Science. 12(3). 1068–1079. 12 indexed citations

Rudshteyn, Benjamin, John L. Weber, Evan J. Arthur, et al.. (2020). Predicting Ligand-Dissociation Energies of 3d Coordination Complexes with Auxiliary-Field Quantum Monte Carlo. Journal of Chemical Theory and Computation. 16(5). 3041–3054. 21 indexed citations

Shee, James, Evan J. Arthur, Shiwei Zhang, David R. Reichman, & Richard A. Friesner. (2019). Singlet–Triplet Energy Gaps of Organic Biradicals and Polyacenes with Auxiliary-Field Quantum Monte Carlo. Journal of Chemical Theory and Computation. 15(9). 4924–4932. 39 indexed citations

Shee, James, Benjamin Rudshteyn, Evan J. Arthur, et al.. (2019). On Achieving High Accuracy in Quantum Chemical Calculations of 3d Transition Metal-Containing Systems: A Comparison of Auxiliary-Field Quantum Monte Carlo with Coupled Cluster, Density Functional Theory, and Experiment for Diatomic Molecules. Journal of Chemical Theory and Computation. 15(4). 2346–2358. 67 indexed citations

Shee, James, Evan J. Arthur, Shiwei Zhang, David R. Reichman, & Richard A. Friesner. (2018). Phaseless Auxiliary-Field Quantum Monte Carlo on Graphical Processing Units. Journal of Chemical Theory and Computation. 14(8). 4109–4121. 34 indexed citations

Arthur, Evan J. & Charles L. Brooks. (2016). Parallelization and improvements of the generalized born model with a simple sWitching function for modern graphics processors. Journal of Computational Chemistry. 37(10). 927–939. 22 indexed citations

Arthur, Evan J. & Charles L. Brooks. (2016). Efficient implementation of constant pH molecular dynamics on modern graphics processors. Journal of Computational Chemistry. 37(24). 2171–2180. 18 indexed citations

Arthur, Evan J.. (2015). Exploring the Solvent Environment of Biomolecular Systems.. Deep Blue (University of Michigan). 1 indexed citations

King, John T., et al.. (2015). Biomolecular hydration dynamics probed with 2D-IR spectroscopy: From dilute solution to a macromolecular crowd. Chinese Chemical Letters. 26(4). 435–438. 6 indexed citations

10.

Arthur, Evan J., et al.. (2015). Ultrafast 2D-IR and Simulation Investigations of Preferential Solvation and Cosolvent Exchange Dynamics. The Journal of Physical Chemistry B. 119(20). 6271–6279. 31 indexed citations

11.

Arthur, Evan J., John T. King, Kevin J. Kubarych, & Charles L. Brooks. (2014). Heterogeneous Preferential Solvation of Water and Trifluoroethanol in Homologous Lysozymes. The Journal of Physical Chemistry B. 118(28). 8118–8127. 15 indexed citations

12.

King, John T., Evan J. Arthur, Charles L. Brooks, & Kevin J. Kubarych. (2013). Crowding Induced Collective Hydration of Biological Macromolecules over Extended Distances. Journal of the American Chemical Society. 136(1). 188–194. 118 indexed citations

13.

King, John T., Evan J. Arthur, Charles L. Brooks, & Kevin J. Kubarych. (2012). Site-Specific Hydration Dynamics of Globular Proteins and the Role of Constrained Water in Solvent Exchange with Amphiphilic Cosolvents. The Journal of Physical Chemistry B. 116(19). 5604–5611. 69 indexed citations

14.

Nagy, Leslie D., et al.. (2012). Molecular Analysis and Modeling of Inactivation of Human CYP2D6 by Four Mechanism Based Inactivators. Drug Metabolism Letters. 6(1). 7–14. 13 indexed citations

15.

Nagy, Leslie D., et al.. (2011). Substituted Imidazole of 5-Fluoro-2-[4-[(2-phenyl-1H-imidazol-5-yl)methyl]-1-piperazinyl]pyrimidine Inactivates Cytochrome P450 2D6 by Protein Adduction. Drug Metabolism and Disposition. 39(6). 974–983. 9 indexed citations

16.

Arthur, Evan J., Joseph D. Yesselman, & Charles L. Brooks. (2011). Predicting extreme pK_a shifts in staphylococcal nuclease mutants with constant pH molecular dynamics. Proteins Structure Function and Bioinformatics. 79(12). 3276–3286. 45 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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