Zhouchun Shang

2.3k total citations · 1 hit paper
19 papers, 801 citations indexed

About

Zhouchun Shang is a scholar working on Molecular Biology, Surgery and Epidemiology. According to data from OpenAlex, Zhouchun Shang has authored 19 papers receiving a total of 801 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 4 papers in Surgery and 4 papers in Epidemiology. Recurrent topics in Zhouchun Shang's work include Single-cell and spatial transcriptomics (7 papers), Pluripotent Stem Cells Research (5 papers) and Mesenchymal stem cell research (3 papers). Zhouchun Shang is often cited by papers focused on Single-cell and spatial transcriptomics (7 papers), Pluripotent Stem Cells Research (5 papers) and Mesenchymal stem cell research (3 papers). Zhouchun Shang collaborates with scholars based in China, Denmark and United States. Zhouchun Shang's co-authors include Xi Dai, Liang Wu, Weizhi Ji, Lifeng Xiang, Zhigang Zhao, Junqiang Guo, Yu Yin, Yuyu Niu, Kui Duan and Dan Wu and has published in prestigious journals such as Nature, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Zhouchun Shang

18 papers receiving 798 citations

Hit Papers

A developmental landscape... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhouchun Shang China 13 585 114 98 94 76 19 801
Natalie K. Ryan Australia 14 720 1.2× 149 1.3× 181 1.8× 152 1.6× 153 2.0× 20 1.4k
Zhuying Wei China 17 478 0.8× 79 0.7× 188 1.9× 60 0.6× 89 1.2× 53 707
Lee Parry United Kingdom 19 673 1.2× 130 1.1× 127 1.3× 96 1.0× 13 0.2× 38 1.1k
Alyna Katti United States 7 672 1.1× 95 0.8× 184 1.9× 77 0.8× 31 0.4× 8 899
Hong‐Jiang Wei China 15 386 0.7× 62 0.5× 231 2.4× 41 0.4× 69 0.9× 67 590
Dekker C. Deacon United States 8 607 1.0× 80 0.7× 114 1.2× 43 0.5× 30 0.4× 18 734
Ernestina Saulle Italy 17 606 1.0× 156 1.4× 75 0.8× 41 0.4× 14 0.2× 34 858
Chunling Bai China 20 571 1.0× 138 1.2× 268 2.7× 65 0.7× 190 2.5× 73 897
Patrick T. Reilly United States 18 820 1.4× 128 1.1× 96 1.0× 49 0.5× 24 0.3× 34 1.1k
Rosanna Beraldi United States 13 619 1.1× 67 0.6× 142 1.4× 68 0.7× 46 0.6× 18 822

Countries citing papers authored by Zhouchun Shang

Since Specialization
Citations

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

Fields of papers citing papers by Zhouchun Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhouchun Shang

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

All Works

19 of 19 papers shown
1.
Xu, Zumin, et al.. (2025). Targeting IL-16 to Protect Angiotensin II–induced Hypertension and Renal Injury. Hypertension. 82(11). 1975–1986.
2.
Xing, Yanan, Yanru An, Tian Tian, et al.. (2025). Single-cell spatial transcriptomics reveals pathogenic mechanism of renal fibrosis in imiquimod-induced lupus nephritis in mice. Biochemistry and Biophysics Reports. 43. 102087–102087. 1 indexed citations
3.
Liang, Han, Yanru An, Xingju Zhang, et al.. (2024). Single-cell spatial transcriptomic and translatomic profiling of dopaminergic neurons in health, aging, and disease. Cell Reports. 43(3). 113784–113784. 13 indexed citations
4.
Benjamin, Katherine, Rui Qi, Zhouchun Shang, et al.. (2024). Multiscale topology classifies cells in subcellular spatial transcriptomics. Nature. 630(8018). 943–949. 29 indexed citations
5.
Shao, Honglian, Nianqin Sun, Jun Wu, et al.. (2022). Developmental dynamics of chromatin accessibility during post-implantation development of monkey embryos. GigaScience. 12. 1 indexed citations
6.
Wang, Quanlei, Yanru An, Xiaohong Chen, et al.. (2022). Integrative Single-Cell RNA-Seq and ATAC-Seq Analysis of Mesenchymal Stem/Stromal Cells Derived from Human Placenta. Frontiers in Cell and Developmental Biology. 10. 836887–836887. 6 indexed citations
7.
Wang, Quanlei, Shengpeng Wang, Qiuting Deng, et al.. (2022). Single-cell transcriptional profiling reveals cellular and molecular divergence in human maternal–fetal interface. Scientific Reports. 12(1). 10892–10892. 23 indexed citations
8.
Zhao, Jinghui, Jingyi Li, Guoyi Dong, et al.. (2022). Experimental study on the vitrification and xenotransplantation of human ovarian tissue. SHILAP Revista de lepidopterología. 2(1). 38–42. 2 indexed citations
9.
Wang, Quanlei, Shengpeng Wang, Qiuting Deng, et al.. (2021). Single‐cell transcriptome profiling reveals molecular heterogeneity in human umbilical cord tissue and culture‐expanded mesenchymal stem cells. FEBS Journal. 288(18). 5311–5330. 13 indexed citations
10.
Dong, Guoyi, Shengpeng Wang, Qiuting Deng, et al.. (2019). Serum-Free Culture System for Spontaneous Human Mesenchymal Stem Cell Spheroid Formation. Stem Cells International. 2019. 1–12. 12 indexed citations
11.
Xiang, Lifeng, Yu Yin, Yun Zheng, et al.. (2019). A developmental landscape of 3D-cultured human pre-gastrulation embryos. Nature. 577(7791). 537–542. 278 indexed citations breakdown →
12.
Liu, Chuanyu, Mingyue Wang, Xiaoyu Wei, et al.. (2019). An ATAC-seq atlas of chromatin accessibility in mouse tissues. Scientific Data. 6(1). 65–65. 67 indexed citations
13.
Liu, Longqi, Lizhi Leng, Chuanyu Liu, et al.. (2019). An integrated chromatin accessibility and transcriptome landscape of human pre-implantation embryos. Nature Communications. 10(1). 364–364. 82 indexed citations
14.
Shang, Zhouchun, Dongsheng Chen, Quanlei Wang, et al.. (2018). Single-cell RNA-seq reveals dynamic transcriptome profiling in human early neural differentiation. GigaScience. 7(11). 40 indexed citations
15.
Wang, Lian, Zhouchun Shang, Yang Zhou, et al.. (2018). Autophagy mediates glucose starvation-induced glioblastoma cell quiescence and chemoresistance through coordinating cell metabolism, cell cycle, and survival. Cell Death and Disease. 9(2). 213–213. 56 indexed citations
16.
Dong, Guoyi, Zhouchun Shang, Longqi Liu, et al.. (2017). Retinoic acid combined with spermatogonial stem cell conditions facilitate the generation of mouse germ-like cells. Bioscience Reports. 37(2). 8 indexed citations
17.
Shang, Zhouchun, Lin Guo, Ning Wang, et al.. (2014). Oleate promotes differentiation of chicken primary preadipocytes in vitro. Bioscience Reports. 34(1). 53 indexed citations
18.
Sun, Bo, Zhouchun Shang, L. Leng, et al.. (2011). Comparison of adipose tissue cellularity in chicken lines divergently selected for fatness. Poultry Science. 90(9). 2024–2034. 94 indexed citations
19.
Shi, Hui, Qigui Wang, Yuxiang Wang, et al.. (2010). Adipocyte fatty acid-binding protein: An important gene related to lipid metabolism in chicken adipocytes. Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 157(4). 357–363. 23 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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