Yu Yin

1.9k total citations · 1 hit paper
40 papers, 1.2k citations indexed

About

Yu Yin is a scholar working on Molecular Biology, Physiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Yu Yin has authored 40 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 8 papers in Physiology and 7 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Yu Yin's work include Pluripotent Stem Cells Research (13 papers), Reproductive Biology and Fertility (7 papers) and CRISPR and Genetic Engineering (7 papers). Yu Yin is often cited by papers focused on Pluripotent Stem Cells Research (13 papers), Reproductive Biology and Fertility (7 papers) and CRISPR and Genetic Engineering (7 papers). Yu Yin collaborates with scholars based in China, United States and Australia. Yu Yin's co-authors include Lin Liu, David L. Keefe, Xiaoying Ye, Mengyuan Liu, Ming Zeng, Qiang Zhao, Tianqing Li, Zongyong Ai, Lifeng Xiang and Kui Duan and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Yu Yin

35 papers receiving 1.2k citations

Hit Papers

A developmental landscape of 3D-cultured human pre-gastru... 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
Yu Yin China 15 714 293 234 155 124 40 1.2k
Ana Sofia Rodrigues Portugal 14 717 1.0× 82 0.3× 81 0.3× 104 0.7× 20 0.2× 27 1.0k
Paola Sena Italy 18 335 0.5× 210 0.7× 45 0.2× 149 1.0× 121 1.0× 49 857
Mathew P. Estey Canada 14 450 0.6× 43 0.1× 79 0.3× 36 0.2× 28 0.2× 40 871
Yongjie Chen China 17 374 0.5× 42 0.1× 65 0.3× 65 0.4× 89 0.7× 66 791
Xu Ding China 23 1.2k 1.7× 57 0.2× 131 0.6× 25 0.2× 123 1.0× 56 1.8k
Matthew J. Kan United States 13 312 0.4× 98 0.3× 140 0.6× 142 0.9× 477 3.8× 16 1.1k
Péter Lőrincz Hungary 18 555 0.8× 76 0.3× 228 1.0× 12 0.1× 90 0.7× 50 1.3k
Katja Prelle Germany 27 1.2k 1.7× 937 3.2× 76 0.3× 358 2.3× 212 1.7× 50 2.1k
Mehdi Dianatpour Iran 17 420 0.6× 140 0.5× 46 0.2× 142 0.9× 75 0.6× 125 1.0k
Vivian Gama United States 22 892 1.2× 95 0.3× 106 0.5× 10 0.1× 135 1.1× 51 1.3k

Countries citing papers authored by Yu Yin

Since Specialization
Citations

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

Fields of papers citing papers by Yu Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Yin. A scholar is included among the top collaborators of Yu Yin 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 Yu Yin. Yu Yin 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.
Zhou, Wenbo, Wei Sheng, Ruixue Wu, et al.. (2025). Directed and efficient generation of calretinin interneurons from human pluripotent stem cells. Stem Cell Research & Therapy. 16(1). 465–465. 1 indexed citations
2.
Qin, Zhenyue, Yu Yin, Dylan Campbell, et al.. (2025). LMOD: A Large Multimodal Ophthalmology Dataset and Benchmark for Large Vision-Language Models. PubMed. 2025. 2501–2522. 2 indexed citations
3.
Wang, Jingwei, Yu Yin, Lingzhi Chen, et al.. (2025). NIR-triggered and glucose-powered hollow mesoporous Mo-based single-atom nanozymes for cascade chemodynamic diabetic infection therapy. Materials Today Bio. 31. 101557–101557. 3 indexed citations
4.
Li, Bo, Jing Zhang, Yu Yin, et al.. (2024). Dronedarone inhibits the proliferation of esophageal squamous cell carcinoma through the CDK4/CDK6-RB1 axis in vitro and in vivo. Frontiers of Medicine. 18(5). 896–910.
5.
Zhao, Jianping, Gang Zhong, Yisi Liu, et al.. (2024). Tendon Decellularized Matrix Modified Fibrous Scaffolds with Porous and Crimped Microstructure for Tendon Regeneration. ACS Applied Bio Materials. 7(7). 4747–4759. 5 indexed citations
6.
Cai, Zewei, et al.. (2024). Large-scale-adaptive fringe projection 3D measurement. Optics Letters. 49(16). 4485–4485. 4 indexed citations
7.
Wang, Sile, et al.. (2024). Extraembryonic mesoderm cells derived from human embryonic stem cells rely on Wnt pathway activation. Cell Proliferation. 58(2). e13761–e13761. 1 indexed citations
8.
Sun, Wenwen, et al.. (2023). Snap29 Is Dispensable for Self-Renewal Maintenance but Required for Proper Differentiation of Mouse Embryonic Stem Cells. International Journal of Molecular Sciences. 24(1). 750–750.
9.
Chen, Ting-Wei, Yu Yin, Nan Li, et al.. (2023). Generation of Human Endometrial Assembloids with a Luminal Epithelium using Air–Liquid Interface Culture Methods. Advanced Science. 10(30). e2301868–e2301868. 22 indexed citations
10.
Yao, Junjun, Shaoxing Dai, Ju Tan, et al.. (2023). Deciphering molecular heterogeneity and dynamics of human hippocampal neural stem cells at different ages and injury states. eLife. 12. 7 indexed citations
11.
Zhu, Xiaoqing, Yicheng Guo, Kui Duan, et al.. (2022). BRN2 as a key gene drives the early primate telencephalon development. Science Advances. 8(9). eabl7263–eabl7263. 7 indexed citations
12.
Zhong, Gang, Huiping Long, Tian Zhou, et al.. (2022). Blood-brain barrier Permeable nanoparticles for Alzheimer's disease treatment by selective mitophagy of microglia. Biomaterials. 288. 121690–121690. 116 indexed citations
13.
Duan, Kui, Chenyang Si, Shumei Zhao, et al.. (2021). The Long Terminal Repeats of ERV6 Are Activated in Pre-Implantation Embryos of Cynomolgus Monkey. Cells. 10(10). 2710–2710. 2 indexed citations
14.
Wang, Hua, Zhengmao Zhu, Yu Yin, et al.. (2019). Telomere Maintenance-Associated PML Is a Potential Specific Therapeutic Target of Human Colorectal Cancer. Translational Oncology. 12(9). 1164–1176. 11 indexed citations
15.
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 →
16.
Hu, Yong, Lei Li, Yu Yin, et al.. (2018). RNA-Based dCas9–VP64 System Improves the Viability of Cryopreserved Mammalian Cells. Nano LIFE. 8(3). 1850004–1850004. 2 indexed citations
17.
Yang, Jiao, Renpeng Guo, Hua Wang, et al.. (2016). Tet Enzymes Regulate Telomere Maintenance and Chromosomal Stability of Mouse ESCs. Cell Reports. 15(8). 1809–1821. 60 indexed citations
18.
Liu, Mengyuan, Yu Yin, Xiaoying Ye, et al.. (2013). Resveratrol protects against age-associated infertility in mice. Human Reproduction. 28(3). 707–717. 236 indexed citations
19.
Wang, Fang, Yu Yin, Xiaoying Ye, et al.. (2011). Molecular insights into the heterogeneity of telomere reprogramming in induced pluripotent stem cells. Cell Research. 22(4). 757–768. 77 indexed citations
20.
Cao, Liyu, Yu Yin, Hao Li, Yan Jiang, & Hongfu Zhang. (2009). Expression and clinical significance of S100A2 and p63 in esophageal carcinoma. World Journal of Gastroenterology. 15(33). 4183–4183. 27 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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