Sujun Zhao

1.1k total citations
3 papers, 29 citations indexed

About

Sujun Zhao is a scholar working on Molecular Biology, Urology and Cognitive Neuroscience. According to data from OpenAlex, Sujun Zhao has authored 3 papers receiving a total of 29 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Molecular Biology, 1 paper in Urology and 1 paper in Cognitive Neuroscience. Recurrent topics in Sujun Zhao's work include Neural dynamics and brain function (1 paper), Cell Image Analysis Techniques (1 paper) and Single-cell and spatial transcriptomics (1 paper). Sujun Zhao is often cited by papers focused on Neural dynamics and brain function (1 paper), Cell Image Analysis Techniques (1 paper) and Single-cell and spatial transcriptomics (1 paper). Sujun Zhao collaborates with scholars based in China. Sujun Zhao's co-authors include Yuanyuan Zheng, Yubo Zhu, Yanru Wang, Wei Wang, Zeying Wang, Dan Guo, Wenlin Bai, Peng Xie, Feng Xiong and Lijuan Liu and has published in prestigious journals such as Nature Neuroscience, Patterns and Animal Biotechnology.

In The Last Decade

Sujun Zhao

2 papers receiving 28 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sujun Zhao China 2 16 16 10 6 4 3 29
Aakash V. Patel United States 3 25 1.6× 4 0.3× 19 1.9× 7 1.2× 4 35
See Ting Leong Singapore 2 22 1.4× 3 0.2× 9 0.9× 10 1.7× 2 33
Jasmine T. Tran United States 2 6 0.4× 3 0.2× 16 1.6× 4 0.7× 7 37
Mona Ellaithi Sudan 4 6 0.4× 5 0.3× 32 3.2× 12 33
Péter Lichter Germany 2 2 0.1× 3 0.2× 36 3.6× 10 1.7× 2 0.5× 3 47
Shu‐Qiang Liu China 3 12 0.8× 22 2.2× 4 0.7× 7 30
Vackar Afzal United Kingdom 3 13 0.8× 27 2.7× 2 0.3× 2 0.5× 5 32
Andrea Guennoun Qatar 2 1 0.1× 8 0.5× 15 1.5× 4 0.7× 4 39
Roberto Arsiè Germany 2 7 0.4× 38 3.8× 6 1.0× 5 1.3× 3 41
Giulia Lerda United Kingdom 2 7 0.4× 16 1.6× 4 0.7× 3 23

Countries citing papers authored by Sujun Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Sujun Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sujun Zhao

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

All Works

3 of 3 papers shown
1.
Liu, Yufeng, et al.. (2025). A mouse brain atlas based on dendritic microenvironments. Nature Neuroscience. 29(1). 111–122.
2.
Xiong, Feng, et al.. (2023). DSM: Deep sequential model for complete neuronal morphology representation and feature extraction. Patterns. 5(1). 100896–100896. 4 indexed citations
3.
Zheng, Yuanyuan, Zeying Wang, Yubo Zhu, et al.. (2019). LncRNA-000133 from secondary hair follicle of Cashmere goat: identification, regulatory network and its effects on inductive property of dermal papilla cells. Animal Biotechnology. 31(2). 122–134. 25 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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