Changbin Sun

1.6k total citations · 1 hit paper
28 papers, 1.3k citations indexed

About

Changbin Sun is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Changbin Sun has authored 28 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Plant Science and 5 papers in Cancer Research. Recurrent topics in Changbin Sun's work include Plant Stress Responses and Tolerance (4 papers), Plant nutrient uptake and metabolism (3 papers) and Circular RNAs in diseases (3 papers). Changbin Sun is often cited by papers focused on Plant Stress Responses and Tolerance (4 papers), Plant nutrient uptake and metabolism (3 papers) and Circular RNAs in diseases (3 papers). Changbin Sun collaborates with scholars based in China, United States and Denmark. Changbin Sun's co-authors include Jia Ding, Xiaopeng Han, Yida Deng, Cheng Zhong, Xiaorui Liu, Bin Liu, Yuan Li, Naiqin Zhao, Wenbin Hu and Samarjeet Singh Siwal and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Changbin Sun

27 papers receiving 1.3k citations

Hit Papers

Decoupling electrolytes towards stable and high-energy re... 2020 2026 2022 2024 2020 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Changbin Sun China 14 713 301 263 197 143 28 1.3k
Chao Qu China 20 932 1.3× 120 0.4× 356 1.4× 192 1.0× 256 1.8× 67 1.9k
Chunrong Zhao China 17 366 0.5× 136 0.5× 274 1.0× 73 0.4× 82 0.6× 41 1.1k
Zhefeng Chen China 22 834 1.2× 241 0.8× 124 0.5× 38 0.2× 260 1.8× 53 1.5k
Jiajia Xiao China 14 253 0.4× 88 0.3× 169 0.6× 100 0.5× 63 0.4× 31 643
Wei Xiao China 16 477 0.7× 125 0.4× 178 0.7× 64 0.3× 283 2.0× 53 822
Dongdong Cheng China 22 309 0.4× 267 0.9× 484 1.8× 90 0.5× 91 0.6× 54 1.4k
Haijun Cao China 21 1.1k 1.5× 399 1.3× 106 0.4× 34 0.2× 497 3.5× 68 1.5k
Hongtao Qu China 17 867 1.2× 98 0.3× 271 1.0× 36 0.2× 294 2.1× 35 1.4k
Zhiyu Ding China 18 881 1.2× 237 0.8× 284 1.1× 21 0.1× 355 2.5× 45 1.5k
Fangqian Wang China 20 123 0.2× 82 0.3× 164 0.6× 101 0.5× 15 0.1× 36 1.1k

Countries citing papers authored by Changbin Sun

Since Specialization
Citations

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

Fields of papers citing papers by Changbin Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changbin Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Changbin Sun. A scholar is included among the top collaborators of Changbin 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 Changbin Sun. Changbin 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.
Liu, Xiufeng, Bin Song, Changbin Sun, et al.. (2025). Tumor-infiltrated double-negative regulatory T cells predict outcome of T cell-based immunotherapy in nasopharyngeal carcinoma. Cell Reports Medicine. 6(5). 102096–102096. 2 indexed citations
2.
Sun, Changbin, et al.. (2024). mDRIP-seq is a high-throughput method for quantitative profiling of R-loop landscape. Science Bulletin. 70(1). 38–41. 1 indexed citations
3.
Wang, Zhenzhen, et al.. (2024). siqRNA-seq is a spike-in-independent technique for quantitative mapping of mRNA landscape. BMC Genomics. 25(1). 743–743.
4.
Xu, Wei, Chao Liu, Zhe Zhang, et al.. (2023). DEtail-seq is an ultra-efficient and convenient method for meiotic DNA break profiling in multiple organisms. Science China Life Sciences. 66(6). 1392–1407. 3 indexed citations
5.
Sun, Changbin, Fengcui Qian, Chunquan Li, et al.. (2021). Differential RNA expression profiles and competing endogenous RNA-associated regulatory networks during the progression of atherosclerosis. Epigenomics. 13(2). 99–112. 6 indexed citations
7.
Sun, Changbin, et al.. (2021). Deconstructing transcriptional variations and their effects on immunomodulatory function among human mesenchymal stromal cells. Stem Cell Research & Therapy. 12(1). 53–53. 11 indexed citations
8.
Gu, Xia, Yanan Jiang, Weijie Wang, et al.. (2020). Comprehensive circRNA expression profile and construction of circRNA-related ceRNA network in cardiac fibrosis. Biomedicine & Pharmacotherapy. 125. 109944–109944. 34 indexed citations
9.
Zhong, Cheng, Bin Liu, Jia Ding, et al.. (2020). Decoupling electrolytes towards stable and high-energy rechargeable aqueous zinc–manganese dioxide batteries. Nature Energy. 5(6). 440–449. 614 indexed citations breakdown →
10.
Liu, Xinxin, Changbin Sun, Xia Gu, et al.. (2019). Intraplaque neovascularization attenuated statin benefit on atherosclerotic plaque in CAD patients: A follow-up study with combined imaging modalities. Atherosclerosis. 287. 134–139. 7 indexed citations
11.
Liu, Xianglan, Changbin Sun, Jiangtian Tian, et al.. (2019). Shrinkage as a potential mechanism of recurrent clinical events in patients with a large vulnerable plaque. Journal of Cardiovascular Medicine. 20(8). 518–524. 5 indexed citations
12.
Sun, Changbin, et al.. (2018). Transcriptome variations among human embryonic stem cell lines are associated with their differentiation propensity. PLoS ONE. 13(2). e0192625–e0192625. 25 indexed citations
13.
Xie, Zulong, Xuedong Wang, Xinxin Liu, et al.. (2018). Adipose‐Derived Exosomes Exert Proatherogenic Effects by Regulating Macrophage Foam Cell Formation and Polarization. Journal of the American Heart Association. 7(5). 160 indexed citations
14.
Tian, Jiangtian, Changbin Sun, & Bo Yu. (2017). GW28-e0394 IncRNA-CRNDE regulates the expression of MMP-2/MMp-9 and influences the function of macrophages in the atherosclerotic plaque rupture. Journal of the American College of Cardiology. 70(16). C96–C96. 2 indexed citations
15.
Sun, Changbin, et al.. (2016). Fundamental Principles of Stem Cell Banking. Advances in experimental medicine and biology. 951. 31–45. 13 indexed citations
16.
Sun, Changbin, et al.. (2013). Pivotal metabolic pathways related to water deficit tolerance and growth recovery of whole maize plant. Plant Omics. 6(6). 377–387. 4 indexed citations
17.
Li, Youzhi, Yinghua Pan, Changbin Sun, et al.. (2010). An ordered EST catalogue and gene expression profiles of cassava (Manihot esculenta) at key growth stages. Plant Molecular Biology. 74(6). 573–590. 23 indexed citations
18.
Sun, Changbin, et al.. (2009). Functional characterization of the copper-transporting P-type ATPase gene of Penicillium janthinellum strain GXCR. The Journal of Microbiology. 47(6). 736–745. 3 indexed citations
20.
Liu, Yang, et al.. (2009). The use of raw and acid-pretreated bivalve mollusk shells to remove metals from aqueous solutions. Journal of Hazardous Materials. 168(1). 156–162. 40 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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