Xiaoqiang Sun

2.4k total citations
104 papers, 1.6k citations indexed

About

Xiaoqiang Sun is a scholar working on Molecular Biology, Cognitive Neuroscience and Immunology. According to data from OpenAlex, Xiaoqiang Sun has authored 104 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 17 papers in Cognitive Neuroscience and 11 papers in Immunology. Recurrent topics in Xiaoqiang Sun's work include Functional Brain Connectivity Studies (16 papers), Mathematical Biology Tumor Growth (10 papers) and Single-cell and spatial transcriptomics (9 papers). Xiaoqiang Sun is often cited by papers focused on Functional Brain Connectivity Studies (16 papers), Mathematical Biology Tumor Growth (10 papers) and Single-cell and spatial transcriptomics (9 papers). Xiaoqiang Sun collaborates with scholars based in China, United States and Taiwan. Xiaoqiang Sun's co-authors include Jiguang Bao, Bin Hu, Yongzhao Shao, Shuqiao Yao, Daifeng Dong, Jinyu Cheng, Zhongdao Wu, Xue Zhong, Ji Zhang and Qingsen Ming and has published in prestigious journals such as Circulation, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Xiaoqiang Sun

100 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoqiang Sun China 24 692 277 264 208 190 104 1.6k
Jeffrey West United States 20 421 0.6× 438 1.6× 323 1.2× 244 1.2× 133 0.7× 43 1.6k
Adaikalavan Ramasamy United Kingdom 17 1.3k 1.8× 347 1.3× 292 1.1× 204 1.0× 108 0.6× 40 2.6k
Panagiotis Papageorgis Cyprus 28 1.8k 2.6× 510 1.8× 621 2.4× 1.3k 6.2× 62 0.3× 56 3.6k
Benedicte Descamps Belgium 24 566 0.8× 212 0.8× 173 0.7× 299 1.4× 137 0.7× 89 1.8k
Sachiko Saito Japan 27 682 1.0× 53 0.2× 236 0.9× 164 0.8× 56 0.3× 98 1.9k
Weiting Zhang China 19 987 1.4× 94 0.3× 174 0.7× 145 0.7× 294 1.5× 66 2.1k
Carsten Riether Switzerland 29 722 1.0× 1.0k 3.7× 150 0.6× 701 3.4× 151 0.8× 71 2.7k
Joseph Lin United States 27 927 1.3× 1.3k 4.5× 227 0.9× 320 1.5× 397 2.1× 65 3.6k
David Beeler United States 33 1.6k 2.2× 286 1.0× 408 1.5× 167 0.8× 201 1.1× 45 4.0k
Jean‐Baptiste Cazier United Kingdom 24 1.1k 1.6× 204 0.7× 560 2.1× 338 1.6× 114 0.6× 76 2.4k

Countries citing papers authored by Xiaoqiang Sun

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoqiang Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoqiang Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoqiang Sun. A scholar is included among the top collaborators of Xiaoqiang Sun 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 Xiaoqiang Sun. Xiaoqiang Sun 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.
Cheng, Jinyu, et al.. (2025). Dissecting multilayer cell–cell communications with signaling feedback loops from spatial transcriptomics data. Genome Research. 35(6). 1400–1414. 6 indexed citations
2.
Chen, Zhe, Zhi Zhang, Xiaoqiang Sun, et al.. (2025). Enhanced negative modulation of urotensin II on cardiac function and [Ca2+]i regulation in a diabetic rat model: Insights into molecular and cellular mechanisms. Journal of Pharmacology and Experimental Therapeutics. 392(6). 103594–103594. 1 indexed citations
3.
Li, Wenying, Haiyun Wang, Jianping Zhao, Junfeng Xia, & Xiaoqiang Sun. (2024). scHyper: reconstructing cell–cell communication through hypergraph neural networks. Briefings in Bioinformatics. 25(5). 2 indexed citations
4.
Jiang, Yali, et al.. (2024). The amygdala volume moderates the relationship between childhood maltreatment and callous-unemotional traits in adolescents with conduct disorder. European Child & Adolescent Psychiatry. 34(1). 205–214. 1 indexed citations
6.
Yang, Ke, Qin Li, Yanqi Luo, et al.. (2024). Transition-metal-free skeletal editing of benzoisothiazol-3-ones to 2,3-dihydrobenzothiazin-4-ones via single-carbon insertion. Organic Chemistry Frontiers. 12(2). 478–484. 4 indexed citations
7.
Sun, Xiaoqiang, et al.. (2023). Multicellular Network-Informed Survival Model for Identification of Drug Targets of Gliomas. IEEE Journal of Biomedical and Health Informatics. 29(3). 1591–1601. 4 indexed citations
8.
Dong, Daifeng, Emily L. Belleau, Maria Ironside, et al.. (2022). Distinct stress‐related medial prefrontal cortex activation in women with depression with and without childhood maltreatment. Depression and Anxiety. 39(4). 296–306. 12 indexed citations
9.
Sun, Xiaoqiang, et al.. (2022). Inferring disease progression and gene regulatory networks from clinical transcriptomic data using PROB_R. STAR Protocols. 3(3). 101467–101467. 1 indexed citations
10.
Zhang, Xiaocui, Xiang Wang, Daifeng Dong, et al.. (2022). Persistent Ventral Anterior Cingulate Cortex and Resolved Amygdala Hyper-responses to Negative Outcomes After Depression Remission: A Combined Cross-sectional and Longitudinal Study. Biological Psychiatry. 93(3). 268–278. 6 indexed citations
11.
Xiong, Ge, Daifeng Dong, Cheng Chang, et al.. (2021). Potential structural trait markers of depression in the form of alterations in the structures of subcortical nuclei and structural covariance network properties. NeuroImage Clinical. 32. 102871–102871. 17 indexed citations
13.
Xiong, Ge, Daifeng Dong, Cheng Chang, et al.. (2019). State-independent and -dependent structural alterations in limbic-cortical regions in patients with current and remitted depression. Journal of Affective Disorders. 258. 1–10. 27 indexed citations
14.
Cheng, Heng-Jie, Yixi Liu, Xiaoqiang Sun, et al.. (2019). Abstract 10275: The Role and Mechanism of Chronic Ca2+/Calmodulin-Dependent Protein Kinase II Inhibition in a Mouse Model of Diabetic Cardiomyopathy. Circulation. 1 indexed citations
15.
Zheng, Yongjiang, Jiguang Bao, Qiyi Zhao, Tianshou Zhou, & Xiaoqiang Sun. (2018). A Spatio-Temporal Model of Macrophage-Mediated Drug Resistance in Glioma Immunotherapy. Molecular Cancer Therapeutics. 17(4). 814–824. 26 indexed citations
16.
Sun, Xiaoqiang, Jiguang Bao, & Yongzhao Shao. (2016). Mathematical Modeling of Therapy-induced Cancer Drug Resistance: Connecting Cancer Mechanisms to Population Survival Rates. Scientific Reports. 6(1). 22498–22498. 104 indexed citations
17.
Sun, Xiaoqiang & Jiguang Bao. (2015). Multiscale Mathematical Models for Biological Systems. 44(3). 321–334.
18.
Zhang, Chengfang, Xiaogang Wu, Yan Li, et al.. (2013). Synthesis and Bioactivity of Novel Inhibitors for Type III Secretion System ofPseudomonas aeruginosaPAO1. Chinese Journal of Organic Chemistry. 33(6). 1309–1309. 5 indexed citations
19.
Sun, Xiaoqiang, Long Chen, Shaohua Wang, Chaochun Yuan, & Xiaoliang Zhang. (2013). Analysis of vibration isolation performance for nolinear inerter-spring-damper suspension. Nongye Gongcheng Xuebao. 29(23). 38–45. 1 indexed citations
20.
Sun, Xiaoqiang, et al.. (2011). Synthesis and Crystal Structure of 1,4,7,10-Tetrakis-(2-(2,3-difluorophenyl)-ethyl)-1,4,7,10-tetraazacyclododecane. Chinese Journal of Structural Chemistry. 30(1). 7–11. 1 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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