Chunlei Gao

72 total papers · 5.4k total citations
50 papers, 3.8k citations indexed

About

Chunlei Gao is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry and Condensed Matter Physics. According to data from OpenAlex, Chunlei Gao has authored 50 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Atomic and Molecular Physics, and Optics, 26 papers in Materials Chemistry and 21 papers in Condensed Matter Physics. Recurrent topics in Chunlei Gao's work include Topological Materials and Phenomena (17 papers), Physics of Superconductivity and Magnetism (15 papers) and Graphene research and applications (14 papers). Chunlei Gao is often cited by papers focused on Topological Materials and Phenomena (17 papers), Physics of Superconductivity and Magnetism (15 papers) and Graphene research and applications (14 papers). Chunlei Gao collaborates with scholars based in China, Germany and United States. Chunlei Gao's co-authors include Canhua Liu, Dong Qian, Jinfeng Jia, Fengfeng Zhu, Dandan Guan, Shengbai Zhang, Weijiong Chen, Yong Xu, Lin Miao and Wulf Wulfhekel and has published in prestigious journals such as Science, Physical Review Letters and Advanced Materials.

In The Last Decade

Chunlei Gao

48 papers receiving 3.7k citations

Hit Papers

Epitaxial growth of two-d... 2012 2026 2016 2021 2015 2016 2012 400 800 1.2k

Author Peers

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

Author Last Decade Papers Cites
Chunlei Gao 2.9k 2.2k 926 680 382 50 3.8k
Peizhe Tang 3.4k 1.2× 2.7k 1.2× 947 1.0× 897 1.3× 586 1.5× 69 4.6k
Dandan Guan 3.1k 1.1× 2.6k 1.2× 998 1.1× 706 1.0× 383 1.0× 99 4.2k
Luca Moreschini 2.3k 0.8× 1.9k 0.8× 880 1.0× 780 1.1× 619 1.6× 64 3.5k
D. Marchenko 3.0k 1.0× 2.5k 1.1× 512 0.6× 829 1.2× 366 1.0× 83 3.7k
Marco Bianchi 2.9k 1.0× 1.7k 0.8× 530 0.6× 912 1.3× 333 0.9× 97 3.3k
D. Pacilè 2.3k 0.8× 1.4k 0.6× 459 0.5× 766 1.1× 299 0.8× 52 3.1k
Fengfeng Zhu 2.4k 0.8× 1.4k 0.6× 434 0.5× 507 0.7× 264 0.7× 32 2.8k
Jason Luo 2.9k 1.0× 2.3k 1.0× 1.1k 1.2× 681 1.0× 781 2.0× 31 4.3k
Chengwang Niu 3.0k 1.0× 1.3k 0.6× 521 0.6× 814 1.2× 477 1.2× 90 3.3k
J. Sánchez‐Barriga 2.6k 0.9× 2.4k 1.1× 744 0.8× 664 1.0× 405 1.1× 97 3.3k

Countries citing papers authored by Chunlei Gao

Since Specialization
Citations

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

Fields of papers citing papers by Chunlei Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunlei Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Chunlei Gao. A scholar is included among the top collaborators of Chunlei 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 Chunlei Gao. Chunlei 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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2026