Yao Gao

90 total papers · 1.2k total citations
66 papers, 953 citations indexed

About

Yao Gao is a scholar working on Molecular Biology, Biological Psychiatry and Pharmacology. According to data from OpenAlex, Yao Gao has authored 66 papers receiving a total of 953 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 18 papers in Biological Psychiatry and 9 papers in Pharmacology. Recurrent topics in Yao Gao's work include Metabolomics and Mass Spectrometry Studies (20 papers), Tryptophan and brain disorders (18 papers) and Pharmacological Effects of Natural Compounds (8 papers). Yao Gao is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (20 papers), Tryptophan and brain disorders (18 papers) and Pharmacological Effects of Natural Compounds (8 papers). Yao Gao collaborates with scholars based in China, United States and Hong Kong. Yao Gao's co-authors include Xiaomei Yan, Jinchun Xing, Xuemei Qin, Zhenzhen Huang, Wei Hang, Yongjing Chen, Junsheng Tian, Lin Lin, Wei Hang and Lin Lin and has published in prestigious journals such as Analytical Chemistry, Scientific Reports and Food Chemistry.

In The Last Decade

Yao Gao

60 papers receiving 945 citations

Hit Papers

UPLC–QQQ–MS/MS-based wide... 2022 2026 2023 2024 2022 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Yao Gao 541 124 118 110 104 66 953
Xiqing Bian 625 1.2× 150 1.2× 34 0.3× 94 0.9× 176 1.7× 46 1.1k
Cameron O. Scarlett 489 0.9× 61 0.5× 69 0.6× 83 0.8× 49 0.5× 29 1.0k
Jiayi Sun 555 1.0× 131 1.1× 27 0.2× 99 0.9× 53 0.5× 76 1.2k
Huarong Xu 587 1.1× 69 0.6× 60 0.5× 95 0.9× 32 0.3× 53 952
Beibei Zhang 464 0.9× 59 0.5× 69 0.6× 21 0.2× 72 0.7× 66 1.2k
Kai Xiao 414 0.8× 41 0.3× 55 0.5× 113 1.0× 24 0.2× 61 1.1k
Wei Li 543 1.0× 66 0.5× 36 0.3× 69 0.6× 32 0.3× 51 1.0k
Yanjun Cao 355 0.7× 29 0.2× 82 0.7× 54 0.5× 49 0.5× 51 1.0k
Yiling Wu 480 0.9× 96 0.8× 71 0.6× 41 0.4× 68 0.7× 60 927
Jin‐Yi Han 323 0.6× 95 0.8× 66 0.6× 16 0.1× 54 0.5× 44 1.1k

Countries citing papers authored by Yao Gao

Since Specialization
Citations

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

Fields of papers citing papers by Yao Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yao Gao

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