Cheng‐Ran Xu

1.6k total citations
39 papers, 991 citations indexed

About

Cheng‐Ran Xu is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Cheng‐Ran Xu has authored 39 papers receiving a total of 991 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 18 papers in Surgery and 11 papers in Genetics. Recurrent topics in Cheng‐Ran Xu's work include Pancreatic function and diabetes (17 papers), Epigenetics and DNA Methylation (8 papers) and Single-cell and spatial transcriptomics (7 papers). Cheng‐Ran Xu is often cited by papers focused on Pancreatic function and diabetes (17 papers), Epigenetics and DNA Methylation (8 papers) and Single-cell and spatial transcriptomics (7 papers). Cheng‐Ran Xu collaborates with scholars based in China, United States and France. Cheng‐Ran Xu's co-authors include Lin‐Chen Li, Wei‐Lin Qiu, Liu Yang, Feng Ye, Ann J. Feeney, Yu-Wei Zhang, Xin‐Xin Yu, Li Yang, Zhihong Xu and Yilan Wang and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Cheng‐Ran Xu

35 papers receiving 984 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cheng‐Ran Xu China 18 574 389 218 136 122 39 991
Daisuke Matsubara Japan 22 721 1.3× 207 0.5× 47 0.2× 112 0.8× 25 0.2× 92 1.4k
Gang Dong China 14 443 0.8× 100 0.3× 125 0.6× 182 1.3× 17 0.1× 24 1.0k
Kenji Kamimoto United States 13 630 1.1× 193 0.5× 59 0.3× 74 0.5× 15 0.1× 19 925
Amanda Charlton Australia 16 441 0.8× 371 1.0× 120 0.6× 26 0.2× 15 0.1× 46 1.1k
Hui Zeng China 17 397 0.7× 90 0.2× 78 0.4× 234 1.7× 32 0.3× 61 1.1k
Tam P. Sneddon United States 8 814 1.4× 99 0.3× 694 3.2× 49 0.4× 76 0.6× 10 1.2k
V. Sivakamasundari Singapore 12 528 0.9× 277 0.7× 159 0.7× 351 2.6× 6 0.0× 22 1.1k
Kun Mu China 23 949 1.7× 136 0.3× 104 0.5× 293 2.2× 13 0.1× 59 1.6k
Qianzhen Zhang China 15 498 0.9× 182 0.5× 73 0.3× 77 0.6× 7 0.1× 49 956

Countries citing papers authored by Cheng‐Ran Xu

Since Specialization
Citations

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

Fields of papers citing papers by Cheng‐Ran Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheng‐Ran Xu. 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 Cheng‐Ran Xu. The network helps show where Cheng‐Ran Xu may publish in the future.

Co-authorship network of co-authors of Cheng‐Ran Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng‐Ran Xu. A scholar is included among the top collaborators of Cheng‐Ran Xu 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 Cheng‐Ran Xu. Cheng‐Ran Xu 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.
Wang, Hongxu, Dongsheng Li, Jiepeng Liu, et al.. (2025). An automated framework for converting point cloud data to building information modeling with segmentation and refinement. Engineering Applications of Artificial Intelligence. 163. 112915–112915.
2.
Zhang, Yu, et al.. (2025). ACSS2 mediates an epigenetic pathway to regulate β-cell adaptation during gestation in mice. Nature Communications. 16(1). 4697–4697.
3.
Wang, Yujia, Mingyang Li, Jie Hao, et al.. (2025). Proenkephalin produced by neonatal T-bet+ Treg cells promotes periportal hepatocyte maturation. Hepatology. 83(3). 513–529.
4.
Wang, Xin, et al.. (2025). Spatiotemporal and genetic cell lineage tracing of endodermal organogenesis at single-cell resolution. Cell. 188(3). 796–813.e24. 4 indexed citations
5.
Xu, Cheng‐Ran, et al.. (2024). Automated Prefabricated Slab Splitting Design Using a Multipopulation Coevolutionary Algorithm and BIM. Buildings. 14(2). 433–433. 5 indexed citations
6.
Wu, Zhou, et al.. (2024). CSID-GAN: A Customized Style Interior Floor Plan Design Framework Based on Generative Adversarial Network. IEEE Transactions on Consumer Electronics. 70(1). 2353–2364. 4 indexed citations
7.
Xu, Cheng‐Ran, et al.. (2024). Intelligent multi-rebar layouts in precast concrete components using multi-agent coordination and particle swarm optimization. Expert Systems with Applications. 264. 125896–125896. 2 indexed citations
8.
Yu, Peng, et al.. (2024). PRMT6-mediated transcriptional activation of ythdf2 promotes glioblastoma migration, invasion, and emt via the wnt–β-catenin pathway. Journal of Experimental & Clinical Cancer Research. 43(1). 116–116. 19 indexed citations
9.
Cheng, Guozhong, et al.. (2023). Virtual trial assembly of large steel members with bolted connections based on point cloud data. Automation in Construction. 151. 104866–104866. 19 indexed citations
10.
Song, Shen, Qianqian Yin, Bin Zhou, et al.. (2023). EZH2 controls epicardial cell migration during heart development. Life Science Alliance. 6(6). e202201765–e202201765. 8 indexed citations
11.
Choi, Jaesung P., Xi Yang, Shuang He, et al.. (2021). CCM2L (Cerebral Cavernous Malformation 2 Like) Deletion Aggravates Cerebral Cavernous Malformation Through Map3k3-KLF Signaling Pathway. Stroke. 52(4). 1428–1436. 3 indexed citations
12.
Gao, Suwei, Qiang Shi, Yifan Zhang, et al.. (2021). Identification of HSC/MPP expansion units in fetal liver by single-cell spatiotemporal transcriptomics. Cell Research. 32(1). 38–53. 70 indexed citations
13.
Yu, Xin‐Xin, Wei‐Lin Qiu, Liu Yang, et al.. (2021). Sequential progenitor states mark the generation of pancreatic endocrine lineages in mice and humans. Cell Research. 31(8). 886–903. 29 indexed citations
14.
Li, Lin‐Chen, Xin Wang, Ziran Xu, et al.. (2020). Single-cell patterning and axis characterization in the murine and human definitive endoderm. Cell Research. 31(3). 326–344. 11 indexed citations
15.
Li, Lin‐Chen, Xin‐Xin Yu, Yu-Wei Zhang, et al.. (2018). Single-cell Transcriptomic Analyses of Mouse Pancreatic Endocrine Cells. Journal of Visualized Experiments. 3 indexed citations
16.
Li, Yang, Lin‐Chen Li, Xin Wang, et al.. (2018). The contributions of mesoderm-derived cells in liver development. Seminars in Cell and Developmental Biology. 92. 63–76. 17 indexed citations
17.
Qiu, Wei‐Lin, Yu-Wei Zhang, Feng Ye, et al.. (2017). Deciphering Pancreatic Islet β Cell and α Cell Maturation Pathways and Characteristic Features at the Single-Cell Level. Cell Metabolism. 25(5). 1194–1205.e4. 119 indexed citations
18.
Xu, Cheng‐Ran & Kenneth S. Zaret. (2012). Chromatin “pre-pattern” and epigenetic modulation in the cell fate choice of liver over pancreas in the endoderm. Nucleus. 3(2). 150–154. 9 indexed citations
19.
Xu, Cheng‐Ran & Ann J. Feeney. (2009). The Epigenetic Profile of Ig Genes Is Dynamically Regulated during B Cell Differentiation and Is Modulated by Pre-B Cell Receptor Signaling. The Journal of Immunology. 182(3). 1362–1369. 40 indexed citations
20.
Xu, Cheng‐Ran, Cui Liu, Yilan Wang, et al.. (2005). Histone acetylation affects expression of cellular patterning genes in the Arabidopsis root epidermis. Proceedings of the National Academy of Sciences. 102(40). 14469–14474. 128 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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