G. T. Gao

23 total papers · 1.9k total citations
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 Spectroscopy and Quantum Chemical Studies (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 Spectroscopy and Quantum Chemical Studies (4 papers). G. T. Gao collaborates with scholars based in United States, Japan and China. G. T. Gao's co-authors include Xiao Cheng Zeng, Hideki Tanaka, Kenichiro Koga, Paul T. Mikulski, Judith A. Harrison, 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

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
G. T. Gao 993 820 581 224 210 18 1.6k
T. Werder 869 0.9× 1.1k 1.3× 354 0.6× 97 0.4× 192 0.9× 18 1.9k
Florent Goujon 653 0.7× 693 0.8× 480 0.8× 119 0.5× 244 1.2× 55 1.6k
Felix Sedlmeier 552 0.6× 847 1.0× 579 1.0× 101 0.5× 111 0.5× 15 1.6k
Jaeil Bai 1.0k 1.0× 630 0.8× 527 0.9× 104 0.5× 267 1.3× 37 1.6k
Jonathan G. Harris 560 0.6× 975 1.2× 487 0.8× 246 1.1× 237 1.1× 25 2.1k
Gerald L. Pollack 650 0.7× 503 0.6× 787 1.4× 96 0.4× 131 0.6× 45 1.8k
Gilberte Dosseh 978 1.0× 440 0.5× 262 0.5× 120 0.5× 86 0.4× 27 1.4k
Grant S. Heffelfinger 499 0.5× 841 1.0× 310 0.5× 132 0.6× 94 0.4× 27 1.3k
John S. Huang 1.0k 1.0× 395 0.5× 456 0.8× 152 0.7× 163 0.8× 36 2.4k
Alan Braslau 611 0.6× 417 0.5× 919 1.6× 66 0.3× 289 1.4× 30 2.0k

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

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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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