Gao Xiao

100 papers receiving 2.3k citations

Hit Papers

Light-driven fine chemical production in yeast biohybrids20182026202020232018100200300

Peers

Gao Xiao
Comparison fields: 5 of 158
  • Materials Chemistry 670
  • Biomedical Engineering 614
  • Electrical and Electronic Engineering 427
  • Molecular Biology 393
  • Renewable Energy, Sustainability and the Environment 341
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Zeyu Wang China
Xiaomin Zhang China
Yating Wang China
Xiaohong Liu China
Yujie Yan China
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Meng Yao China
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Gao Xiao relative to Kun Tian China Kun Tian's profile →
Citations per field
00.5×1.5×
Kun Tian · 1×
Citations per year

Countries citing papers authored by Gao Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Gao Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gao Xiao

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 5
3 3
4 4
5 5
6 0
7 14
8 4
9 9
10 6
11 12
12 158
13
Light-driven fine chemical production in yeast biohybridsbreakdown →
348
14 46
15 345
16
The trap efficiency and the absorption of four kinds of proliposomes
1
17
Fabric blemish detection based on attributed relational histogram
4
18
Synthesis and Crystal Structure of a Biologically Relevant Homochiral Two-dimensional Metal-organic Herring-bone Molecular Grid: Bis(3-amino-(S)-tyrosinato)cobalt(II)
1
19
EFFECT OF KIDNEY-TONIFYING TRADITIONAL CHINESE MEDICINES ON PROLIFERATION OF OSTEOBLAST-LIKE CELLS UMR106(II)
1
20
In Vitro Expression of Human Clotting Factor IX Minigene Mediated by Mini-adenoviral Vector
1

About Gao Xiao

Gao Xiao is a scholar working on Computational Mathematics, Biomaterials and Renewable Energy, Sustainability and the Environment, having authored 110 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced Nanomaterials in Catalysis (7 papers), Nanoparticle-Based Drug Delivery (7 papers) and Nanoplatforms for cancer theranostics (6 papers). The work is most often cited by research in Biomaterials (332 citations), Renewable Energy, Sustainability and the Environment (341 citations) and Bioengineering (113 citations). Gao Xiao has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Junling Guo, Xuepin Liao, Joseph J. Richardson, Bi Shi, Neel Joshi, Miguel Suástegui, Kelsey K. Sakimoto, Daniel G. Nocera, Chunling Zhu and Yujin Chen. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

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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