Sanguo Zhang

1.0k citations
67 papers · 722 indexed · h-index 12
Topics
Gene expression and cancer classification (20 papers)Statistical Methods and Inference (17 papers)Genetic Associations and Epidemiology (10 papers)

In The Last Decade

Sanguo Zhang

60 papers receiving 667 citations

Peers

Sanguo Zhang
Comparison fields: 5 of 113
  • Molecular Biology 197
  • Computer Vision and Pattern Recognition 182
  • Atomic and Molecular Physics, and Optics 101
  • Artificial Intelligence 88
  • Oncology 80
Replace Zachary T. Harmany with:
Zachary T. Harmany United States
Anwei Chai United States
Charles Soussen France
Faliu Yi South Korea
Hwee Kuan Lee Singapore
Rehan Ali United States
Dennis Trede Germany
Jianfeng Yao Hong Kong
Riccardo Zanella Italy
Marie Piraud Germany
Sanguo Zhang relative to Zachary T. Harmany United States Zachary T. Harmany's profile →
Citations per field
00.5×6.7×
Zachary T. Harmany · 1×
Citations per year

Countries citing papers authored by Sanguo Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Sanguo Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanguo Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Sanguo Zhang. A scholar is included among the top collaborators of Sanguo Zhang 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 Sanguo Zhang. Sanguo Zhang 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 0
2 1
3 1
4 1
5 5
6 0
7
Outdoor time influences VIPR2 polymorphism rs2071623 to regulate axial length in Han Chinese children.
2
8 0
9 8
10 2
11 6
12 48
13 9
14 12
15 184
16 20
17 116
18 55
19 29
20 1

About Sanguo Zhang

Sanguo Zhang is a scholar working on Statistics and Probability, Structural Biology and Radiation, having authored 67 papers that have together received 722 indexed citations. Recurring topics across this work include Gene expression and cancer classification (20 papers), Statistical Methods and Inference (17 papers) and Genetic Associations and Epidemiology (10 papers). The work is most often cited by research in Acoustics and Ultrasonics (25 citations), Structural Biology (18 citations) and Statistics and Probability (74 citations). Sanguo Zhang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Yishi Shi, Tuo Li, Qiankun Gao, Yali Wang, Pran K. Datta, Sunil K. Halder, Bixiang Zhang, Shuangge Ma, Qingzhao Zhang and Mingyang Ren. Their work appears in journals such as Neuron, Journal of the American Statistical Association and Bioinformatics.

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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