Guang Yao

7.3k total citations · 2 hit papers
92 papers, 4.8k citations indexed

About

Guang Yao is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Computer Networks and Communications. According to data from OpenAlex, Guang Yao has authored 92 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 21 papers in Atomic and Molecular Physics, and Optics and 15 papers in Computer Networks and Communications. Recurrent topics in Guang Yao's work include Magnetic properties of thin films (18 papers), Network Security and Intrusion Detection (13 papers) and Gene Regulatory Network Analysis (9 papers). Guang Yao is often cited by papers focused on Magnetic properties of thin films (18 papers), Network Security and Intrusion Detection (13 papers) and Gene Regulatory Network Analysis (9 papers). Guang Yao collaborates with scholars based in China, United States and United Kingdom. Guang Yao's co-authors include Joseph R. Nevins, Mike West, Jun Bi, Lingchong You, Anil Potti, Jeffrey T. Chang, Andrea Bild, M. Joshi, John A. Olson and Andrew Berchuck and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Guang Yao

87 papers receiving 4.7k citations

Hit Papers

Oncogenic pathway signatures in human cancers as a guide ... 2005 2026 2012 2019 2005 2014 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Oncogenic pathway signatures in human cancers as a guide to targeted therapies
    2005 1.5k citations Guang Yao, Jeffrey T. Chang et al. profile →
  2. On the Capacitated Controller Placement Problem in Software Defined Networks
    2014 289 citations Guang Yao, Jun Bi et al. profile →

Peers

Guang Yao
Cheng‐Wen Wu Taiwan
Attila Gürsoy Türkiye
Hiroshi Hirai Japan
Wei‐Chung Cheng Taiwan
Anirvan M. Sengupta India
Jianwei Shuai China
Qi Ouyang China
Junwei Wang China
Yun‐Han Lee United States
Guang Hu China
Cheng‐Wen Wu Taiwan
Guang Yao
Citations per year, relative to Guang Yao Guang Yao (= 1×) peers Cheng‐Wen Wu

Countries citing papers authored by Guang Yao

Since Specialization
Citations

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

Fields of papers citing papers by Guang Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guang Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Guang Yao. A scholar is included among the top collaborators of Guang Yao 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 Guang Yao. Guang Yao 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
1.
Zhang, Yunsheng, Qiong Pan, Jinlong Ru, et al.. (2025). Single-cell RNA sequencing reveals intrahepatic signature related to pathobiology of duck hepatitis A virus type 3 (DHAV-3) infection. Poultry Science. 104(2). 104798–104798.
2.
Zhao, Yufei, et al.. (2024). Fracture mechanics analysis of gas pipeline with circumferential crack under the action of transverse landslide. International Journal of Pressure Vessels and Piping. 209. 105199–105199. 3 indexed citations
3.
Yao, Guang. (2024). Quiescence-Origin Senescence: A New Paradigm in Cellular Aging. Biomedicines. 12(8). 1837–1837. 2 indexed citations
4.
Yao, Guang, Xichao Zhang, Yizhou Liu, et al.. (2024). Confined antiskyrmion motion driven by electric current excitations. Nature Communications. 15(1). 7701–7701. 3 indexed citations
5.
Johnstone, Laurel, Michelle Wei, Shudong Sun, et al.. (2024). Identification of an Allele-Specific Transcription Factor Binding Interaction that May Regulate PLA2G2A Gene Expression. Bioinformatics and Biology Insights. 18. 769826675–769826675.
6.
Sun, Shudong, Brian Hallmark, Justin M. Snider, et al.. (2024). Temporal associations of plasma levels of the secreted phospholipase A 2 family and mortality in severe COVID‐19. European Journal of Immunology. 54(6). e2350721–e2350721. 1 indexed citations
7.
Xu, Weina, Wangwang Xu, Guang Yao, et al.. (2024). Voltage-driven molecular switch of highly periodically N‒heterocyclic adlayer enabled deep cycled zinc metal battery. Energy storage materials. 74. 103910–103910. 3 indexed citations
8.
9.
Yao, Guang, Giovanni Finocchio, Xingguo Han, & Guoqiang Yu. (2023). Electrical detection of magnetic skyrmions in a magnetic tunnel junction. 1–2. 1 indexed citations
10.
Ren, Junli, et al.. (2023). Exploring the Associations Between Non-Traditional Lipid Parameters and Epicardial Adipose Tissue Volume. Angiology. 76(3). 239–248. 3 indexed citations
11.
Wang, Xiao, Caihua Wan, Yizhou Liu, et al.. (2020). Spin transmission in IrMn through measurements of spin Hall magnetoresistance and spin-orbit torque. Physical review. B.. 101(14). 13 indexed citations
12.
Burn, David M., Guoqiang Yu, Guang Yao, et al.. (2020). Depth-Resolved Magnetization Dynamics Revealed by X-Ray Reflectometry Ferromagnetic Resonance. Physical Review Letters. 125(13). 137201–137201. 18 indexed citations
13.
Bi, Liu, Kimiko Della Croce, Min Wu, et al.. (2020). Curcumin derivative C212 inhibits Hsp90 andeliminates both growing and quiescent leukemia cells in deep dormancy. Cell Communication and Signaling. 18(1). 159–159. 8 indexed citations
14.
Zhang, Junwei, Xiaomin Zhang, Guang Yao, et al.. (2020). Formation and magnetic-field stability of magnetic dipole skyrmions and bubbles in a ferrimagnet. Applied Physics Letters. 116(14). 10 indexed citations
15.
Li, Ruoyan, Hengyu Chen, Kimiko Della Croce, et al.. (2019). Graded regulation of cellular quiescence depth between proliferation and senescence by a lysosomal dimmer switch. Proceedings of the National Academy of Sciences. 116(45). 22624–22634. 91 indexed citations
16.
Wang, Pengfei, et al.. (2019). Diagnosis and treatment progress of cervical adenosarcoma. 31(8). 570–573.
17.
Wang, Xia, et al.. (2017). Exit from quiescence displays a memory of cell growth and division. Nature Communications. 8(1). 321–321. 40 indexed citations
18.
Dougherty, Edward R., et al.. (2014). Systematic Reverse Engineering of Network Topologies: A Case Study of Resettable Bistable Cellular Responses. PLoS ONE. 9(8). e105833–e105833. 1 indexed citations
19.
Yao, Guang, et al.. (2011). Source address validation solution with OpenFlow/NOX architecture. 7–12. 97 indexed citations
20.
Mori, Seiichi, Rachel E. Rempel, Jeffrey T. Chang, et al.. (2008). Utilization of Pathway Signatures to Reveal Distinct Types of B Lymphoma in the Eμ- myc Model and Human Diffuse Large B-Cell Lymphoma. Cancer Research. 68(20). 8525–8534. 56 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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