Johnny C. Wu

780 total citations
8 papers, 605 citations indexed

About

Johnny C. Wu is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics. According to data from OpenAlex, Johnny C. Wu has authored 8 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Atomic and Molecular Physics, and Optics and 2 papers in Computational Theory and Mathematics. Recurrent topics in Johnny C. Wu's work include Spectroscopy and Quantum Chemical Studies (3 papers), Protein Structure and Dynamics (3 papers) and Advanced Chemical Physics Studies (3 papers). Johnny C. Wu is often cited by papers focused on Spectroscopy and Quantum Chemical Studies (3 papers), Protein Structure and Dynamics (3 papers) and Advanced Chemical Physics Studies (3 papers). Johnny C. Wu collaborates with scholars based in United States, France and China. Johnny C. Wu's co-authors include Pengyu Ren, Jean‐Philip Piquemal, Peter Reinhardt, Robin Chaudret, Tianyi Yang, Chunli Yan, Yuanfeng Wang, Kevin N. Dalby, Ray Luo and Carine Clavaguéra and has published in prestigious journals such as The Journal of Chemical Physics, Journal of Molecular Biology and Physical Chemistry Chemical Physics.

In The Last Decade

Johnny C. Wu

8 papers receiving 600 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Johnny C. Wu United States	8	316	217	155	85	84	8	605
Arjun Saha United States	17	345 1.1×	226 1.0×	174 1.1×	45 0.5×	64 0.8×	40	902
Arianna Fornili United Kingdom	18	506 1.6×	154 0.7×	152 1.0×	82 1.0×	54 0.6×	42	803
Simone Marsili Italy	14	535 1.7×	226 1.0×	167 1.1×	90 1.1×	62 0.7×	23	811
Robert E. Duke United States	13	336 1.1×	162 0.7×	142 0.9×	58 0.7×	54 0.6×	17	593
Shigeru Koikegami Japan	11	209 0.7×	216 1.0×	75 0.5×	61 0.7×	57 0.7×	22	671
Hirofumi Watanabe Japan	19	566 1.8×	223 1.0×	144 0.9×	75 0.9×	166 2.0×	50	945
Toshiyuki Sato Japan	6	361 1.1×	310 1.4×	116 0.7×	89 1.0×	95 1.1×	6	733
Jiajing Zhang China	7	455 1.4×	337 1.6×	210 1.4×	110 1.3×	86 1.0×	16	819
Patrick Bleiziffer Germany	11	108 0.3×	280 1.3×	224 1.4×	94 1.1×	87 1.0×	14	524
Hedieh Torabifard United States	11	279 0.9×	338 1.6×	189 1.2×	55 0.6×	29 0.3×	22	779

Countries citing papers authored by Johnny C. Wu

Since Specialization

Citations

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

Fields of papers citing papers by Johnny C. Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Johnny C. Wu. 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 Johnny C. Wu. The network helps show where Johnny C. Wu may publish in the future.

Co-authorship network of co-authors of Johnny C. Wu

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

All Works

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8 of 8 papers shown

Feng, Jianwen A., Ignacio Aliagas, Philippe Bergeron, et al.. (2015). An integrated suite of modeling tools that empower scientists in structure- and property-based drug design. Journal of Computer-Aided Molecular Design. 29(6). 511–523. 14 indexed citations

Wu, Johnny C., et al.. (2012). Automation of AMOEBA polarizable force field parameterization for small molecules. Theoretical Chemistry Accounts. 131(3). 1138–1138. 137 indexed citations

Gourlaouen, Christophe, Carine Clavaguéra, Pengyu Ren, et al.. (2012). Toward accurate solvation dynamics of lanthanides and actinides in water using polarizable force fields: from gas-phase energetics to hydration free energies. Theoretical Chemistry Accounts. 131(4). 75 indexed citations

Yang, Tianyi, Johnny C. Wu, Chunli Yan, et al.. (2011). Virtual screening using molecular simulations. Proteins Structure Function and Bioinformatics. 79(6). 1940–1951. 158 indexed citations

Wu, Johnny C., et al.. (2011). Gay-Berne and electrostatic multipole based coarse-grain potential in implicit solvent. The Journal of Chemical Physics. 135(15). 155104–155104. 34 indexed citations

Wu, Johnny C., Jean‐Philip Piquemal, Robin Chaudret, Peter Reinhardt, & Pengyu Ren. (2010). Polarizable Molecular Dynamics Simulation of Zn(II) in Water Using the AMOEBA Force Field. Journal of Chemical Theory and Computation. 6(7). 2059–2070. 134 indexed citations

Wu, Johnny C., et al.. (2009). Correlation of RNA Secondary Structure Statistics with Thermodynamic Stability and Applications to Folding. Journal of Molecular Biology. 391(4). 769–783. 19 indexed citations

Wu, Johnny C., et al.. (2008). A transferable coarse-grained model for hydrogen-bonding liquids. Physical Chemistry Chemical Physics. 10(15). 2050–2050. 34 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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