Q. Gao

58 total papers · 824 total citations
30 papers, 645 citations indexed

About

Q. Gao is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Q. Gao has authored 30 papers receiving a total of 645 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Biomedical Engineering, 17 papers in Electrical and Electronic Engineering and 14 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Q. Gao's work include Nanowire Synthesis and Applications (23 papers), Advancements in Semiconductor Devices and Circuit Design (15 papers) and Semiconductor materials and interfaces (8 papers). Q. Gao is often cited by papers focused on Nanowire Synthesis and Applications (23 papers), Advancements in Semiconductor Devices and Circuit Design (15 papers) and Semiconductor materials and interfaces (8 papers). Q. Gao collaborates with scholars based in Australia, United States and South Korea. Q. Gao's co-authors include C. Jagadish, Hark Hoe Tan, Howard E. Jackson, Leigh M. Smith, J.M. Yarrison-Rice, Jin Zou, Hannah J. Joyce, Youngjo Kim, Abhilasha Mishra and Thang B. Hoang and has published in prestigious journals such as Nano Letters, Applied Physics Letters and Frontiers in Plant Science.

In The Last Decade

Q. Gao

26 papers receiving 631 citations

Author Peers

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

Author Last Decade Papers Cites
Q. Gao 492 354 316 207 63 30 645
Mirko Poljak 96 0.2× 393 1.1× 150 0.5× 380 1.8× 81 1.3× 70 718
I. Zasada 58 0.1× 140 0.4× 375 1.2× 500 2.4× 61 1.0× 52 724
Luping Li 262 0.5× 293 0.8× 86 0.3× 129 0.6× 297 4.7× 48 649
Wenwu Wang 82 0.2× 569 1.6× 144 0.5× 224 1.1× 42 0.7× 74 708
Yufeng Wang 97 0.2× 118 0.3× 113 0.4× 55 0.3× 24 0.4× 39 583
Xiaoqian Wang 187 0.4× 110 0.3× 78 0.2× 142 0.7× 15 0.2× 42 587
Jianjun Yao 217 0.4× 169 0.5× 52 0.2× 548 2.6× 33 0.5× 26 691
P. A. Snow 389 0.8× 386 1.1× 247 0.8× 463 2.2× 6 0.1× 35 782
Adrian Garcia 84 0.2× 178 0.5× 139 0.4× 375 1.8× 7 0.1× 28 758
F. Schulze 161 0.3× 295 0.8× 169 0.5× 188 0.9× 650 10.3× 26 769

Countries citing papers authored by Q. Gao

Since Specialization
Citations

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

Fields of papers citing papers by Q. Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Q. Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Q. Gao. A scholar is included among the top collaborators of Q. 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 Q. Gao. Q. 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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