Yangxiaolu Cao

718 total citations
10 papers, 512 citations indexed

About

Yangxiaolu Cao is a scholar working on Molecular Biology, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Yangxiaolu Cao has authored 10 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Biomedical Engineering and 3 papers in Materials Chemistry. Recurrent topics in Yangxiaolu Cao's work include Gene Regulatory Network Analysis (5 papers), Quantum Dots Synthesis And Properties (3 papers) and Advanced Photocatalysis Techniques (2 papers). Yangxiaolu Cao is often cited by papers focused on Gene Regulatory Network Analysis (5 papers), Quantum Dots Synthesis And Properties (3 papers) and Advanced Photocatalysis Techniques (2 papers). Yangxiaolu Cao collaborates with scholars based in United States and China. Yangxiaolu Cao's co-authors include Lingchong You, Marc D. Ryser, Stephen Payne, Bochong Li, Stefan Zauscher, Xiaohui Ye, Wenjin Liu, Yu Gu, David J. Schaeffer and Allison J. Lopatkin and has published in prestigious journals such as Cell, Nature Communications and Nature Biotechnology.

In The Last Decade

Yangxiaolu Cao

10 papers receiving 500 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yangxiaolu Cao United States 8 226 138 135 91 53 10 512
Juan Yin China 17 271 1.2× 138 1.0× 110 0.8× 78 0.9× 64 1.2× 28 907
Ji Wang China 17 119 0.5× 241 1.7× 168 1.2× 43 0.5× 200 3.8× 52 686
Anthony Taylor United States 14 169 0.7× 61 0.4× 143 1.1× 136 1.5× 53 1.0× 44 600
Qing Luo China 13 63 0.3× 73 0.5× 85 0.6× 31 0.3× 60 1.1× 71 462
Xiaoning Shen China 12 124 0.5× 36 0.3× 190 1.4× 17 0.2× 29 0.5× 19 430
Weiwei Zhang China 17 84 0.4× 380 2.8× 269 2.0× 209 2.3× 81 1.5× 53 876
Xinyu Fang China 7 60 0.3× 37 0.3× 78 0.6× 36 0.4× 55 1.0× 19 440
Haolin Zhang China 13 138 0.6× 21 0.2× 171 1.3× 12 0.1× 84 1.6× 51 566
Kan Shoji Japan 10 125 0.6× 32 0.2× 144 1.1× 11 0.1× 14 0.3× 39 335

Countries citing papers authored by Yangxiaolu Cao

Since Specialization
Citations

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

Fields of papers citing papers by Yangxiaolu Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yangxiaolu Cao

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

All Works

10 of 10 papers shown
1.
Cao, Yangxiaolu, John C. Neu, Andrew E. Blanchard, Ting Lu, & Lingchong You. (2021). Repulsive expansion dynamics in colony growth and gene expression. PLoS Computational Biology. 17(3). e1008168–e1008168. 4 indexed citations
2.
Wang, Shangying, Kai Fan, Nan Luo, et al.. (2019). Massive computational acceleration by using neural networks to emulate mechanism-based biological models. Nature Communications. 10(1). 4354–4354. 60 indexed citations
3.
Feng, Yaying, et al.. (2018). Bacterially driven cadmium sulfide precipitation on porous membranes: Toward platforms for photocatalytic applications. Biointerphases. 13(1). 11006–11006. 2 indexed citations
4.
Cao, Yangxiaolu, Yaying Feng, Marc D. Ryser, et al.. (2017). Programmable assembly of pressure sensors using pattern-forming bacteria. Nature Biotechnology. 35(11). 1087–1093. 97 indexed citations
5.
Feng, Yaying, Edgard Ngaboyamahina, Yangxiaolu Cao, et al.. (2017). Hybrid (Organic/Inorganic) Electrodes from Bacterially Precipitated CdS for PEC/Storage Applications. The Journal of Physical Chemistry C. 121(7). 3734–3743. 11 indexed citations
6.
Cao, Yangxiaolu, Marc D. Ryser, Stephen Payne, et al.. (2016). Collective Space-Sensing Coordinates Pattern Scaling in Engineered Bacteria. Cell. 165(3). 620–630. 71 indexed citations
7.
Cao, Yangxiaolu, Allison J. Lopatkin, & Lingchong You. (2016). Elements of biological oscillations in time and space. Nature Structural & Molecular Biology. 23(12). 1030–1034. 38 indexed citations
8.
Payne, Stephen, et al.. (2016). Cadmium sulphide quantum dots with tunable electronic properties by bacterial precipitation. RSC Advances. 6(80). 76158–76166. 40 indexed citations
9.
Payne, Stephen, Bochong Li, Yangxiaolu Cao, et al.. (2013). Temporal control of self‐organized pattern formation without morphogen gradients in bacteria. Molecular Systems Biology. 9(1). 697–697. 89 indexed citations
10.
Cao, Yangxiaolu, et al.. (2011). The Property Research on High-entropy Alloy AlxFeCoNiCuCr Coating by Laser Cladding. Physics Procedia. 12. 303–312. 100 indexed citations

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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