G. T. Gao

1.9k total citations · 1 hit paper
18 papers, 1.6k citations indexed

About

G. T. Gao is a scholar working on Biomedical Engineering, Atomic and Molecular Physics, and Optics and Materials Chemistry. According to data from OpenAlex, G. T. Gao has authored 18 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomedical Engineering, 7 papers in Atomic and Molecular Physics, and Optics and 7 papers in Materials Chemistry. Recurrent topics in G. T. Gao's work include Theoretical and Computational Physics (6 papers), nanoparticles nucleation surface interactions (5 papers) and Advanced Thermodynamics and Statistical Mechanics (4 papers). G. T. Gao is often cited by papers focused on Theoretical and Computational Physics (6 papers), nanoparticles nucleation surface interactions (5 papers) and Advanced Thermodynamics and Statistical Mechanics (4 papers). G. T. Gao collaborates with scholars based in United States, China and Japan. G. T. Gao's co-authors include Xiao Cheng Zeng, Hideki Tanaka, Kenichiro Koga, Judith A. Harrison, Paul T. Mikulski, Wenchuan Wang, Kenji Yasuoka, Hang Yuan, D. J. Diestler and J. David Schall and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Physical Review Letters.

In The Last Decade

G. T. Gao

17 papers receiving 1.6k citations

Hit Papers

Formation of ordered ice ... 2001 2026 2009 2017 2001 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. T. Gao United States 12 994 821 583 223 210 18 1.6k
Andrij Trokhymchuk Ukraine 22 1.2k 1.2× 1.1k 1.4× 467 0.8× 202 0.9× 182 0.9× 113 2.2k
Mary J. Bojan United States 17 770 0.8× 607 0.7× 334 0.6× 77 0.3× 126 0.6× 28 1.2k
Jaeil Bai United States 23 1.0k 1.0× 632 0.8× 528 0.9× 104 0.5× 274 1.3× 37 1.7k
Felix Sedlmeier Germany 13 554 0.6× 853 1.0× 579 1.0× 102 0.5× 111 0.5× 15 1.6k
T. Halicioǧlu United States 17 1.5k 1.5× 1.1k 1.4× 839 1.4× 144 0.6× 336 1.6× 52 2.7k
Александр В. Елецкий Russia 26 1.6k 1.6× 537 0.7× 363 0.6× 154 0.7× 77 0.4× 58 2.2k
Gustavo A. Chapela Mexico 18 701 0.7× 990 1.2× 703 1.2× 82 0.4× 389 1.9× 48 1.8k
E. N. Brodskaya Russia 21 331 0.3× 375 0.5× 566 1.0× 155 0.7× 349 1.7× 103 1.3k
W. Dong France 29 1.3k 1.3× 431 0.5× 1.5k 2.6× 65 0.3× 365 1.7× 90 2.5k
J.P. van der Eerden Netherlands 28 1.7k 1.7× 514 0.6× 497 0.9× 128 0.6× 854 4.1× 87 2.4k

Countries citing papers authored by G. T. Gao

Since Specialization
Citations

This map shows the geographic impact of G. T. Gao'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 G. T. Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. T. Gao more than expected).

Fields of papers citing papers by G. T. Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. T. Gao. 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 G. T. Gao. The network helps show where G. T. Gao may publish in the future.

Co-authorship network of co-authors of G. T. Gao

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

All Works

18 of 18 papers shown
1.
Gao, G. T., J. David Schall, Kevin Van Workum, Paul T. Mikulski, & Judith A. Harrison. (2005). Molecular Dynamics Simulations of Nanocomposite Diamond-Like Carbon. World Tribology Congress III, Volume 1. 235–236.
2.
Harrison, Judith A., et al.. (2005). The Tribology of Carbon, Hydrogen, and Silicon-Containing Solid Lubricants (Keynote). 707–708. 1 indexed citations
3.
Gao, G. T., et al.. (2003). The Effects of Film Structure and Surface Hydrogen on the Properties of Amorphous Carbon Films. The Journal of Physical Chemistry B. 107(40). 11082–11090. 105 indexed citations
4.
Gao, G. T., Paul T. Mikulski, & Judith A. Harrison. (2002). Molecular-Scale Tribology of Amorphous Carbon Coatings:  Effects of Film Thickness, Adhesion, and Long-Range Interactions. Journal of the American Chemical Society. 124(24). 7202–7209. 186 indexed citations
5.
Koga, Kenichiro, G. T. Gao, Hideki Tanaka, & Xiao Cheng Zeng. (2002). How does water freeze inside carbon nanotubes?. Physica A Statistical Mechanics and its Applications. 314(1-4). 462–469. 83 indexed citations
6.
Koga, Kenichiro, G. T. Gao, Hideki Tanaka, & Xiao Cheng Zeng. (2001). Formation of ordered ice nanotubes inside carbon nanotubes. Nature. 412(6849). 802–805. 937 indexed citations breakdown →
7.
Gao, G. T., et al.. (2001). Nucleation of Water and Methanol Droplets on Cations and Anions: The Sign Preference. Physical Review Letters. 86(22). 5080–5083. 45 indexed citations
8.
Yasuoka, Kenji, G. T. Gao, & Xiao Cheng Zeng. (2000). Molecular dynamics simulation of supersaturated vapor nucleation in slit pore. The Journal of Chemical Physics. 112(9). 4279–4285. 48 indexed citations
9.
Gao, G. T. & Xiao Cheng Zeng. (2000). Freezing transition of a strongly dipolar simple fluid. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 61(3). R2188–R2191. 25 indexed citations
10.
Gao, G. T., Xiao Cheng Zeng, & D. J. Diestler. (2000). Nonlinear effects of physisorption on static friction. The Journal of Chemical Physics. 113(24). 11293–11296. 2 indexed citations
11.
Gao, G. T., Xiao Cheng Zeng, & Hideki Tanaka. (2000). The melting temperature of proton-disordered hexagonal ice: A computer simulation of 4-site transferable intermolecular potential model of water. The Journal of Chemical Physics. 112(19). 8534–8538. 83 indexed citations
12.
Gao, G. T., et al.. (1999). Effect of uniform electric field on homogeneous vapor–liquid nucleation and phase equilibria. II. Extended simple point charge model water. The Journal of Chemical Physics. 110(5). 2533–2538. 34 indexed citations
13.
Gao, G. T., Wenchuan Wang, & Xiao Cheng Zeng. (1999). Gibbs ensemble simulation of HCFC/HFC mixtures by effective Stockmayer potential. Fluid Phase Equilibria. 158-160. 69–78. 25 indexed citations
14.
Gao, G. T., et al.. (1998). The effect of a uniform electric field on homogeneous vapor–liquid nucleation in a dipolar fluid. I. Stockmayer fluid. The Journal of Chemical Physics. 109(19). 8435–8441. 6 indexed citations
15.
Gao, G. T., et al.. (1997). Vapour - liquid equilibria of binary mixtures containing Stockmayer molecules. Journal of Physics Condensed Matter. 9(16). 3349–3360. 13 indexed citations
16.
Yuan, Hang, G. T. Gao, & Xiao Cheng Zeng. (1997). Effects of the co-solvent energy parameter and dipolar strength on solute residual chemical potential. Fluid Phase Equilibria. 138(1-2). 61–68. 4 indexed citations
17.
Gao, G. T., et al.. (1997). Solute-solvent size ratio dependence of the solute residual chemical RESEARCH NOTE potential in subcritical solvents. Molecular Physics. 90(1). 141–145. 2 indexed citations
18.
Gao, G. T., Xiao Cheng Zeng, & Wenchuan Wang. (1997). Vapor–liquid coexistence of quasi-two-dimensional Stockmayer fluids. The Journal of Chemical Physics. 106(8). 3311–3317. 44 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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