Yu Lan

4.3k total citations
74 papers, 1.8k citations indexed

About

Yu Lan is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, Yu Lan has authored 74 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 22 papers in Cell Biology and 19 papers in Immunology. Recurrent topics in Yu Lan's work include Zebrafish Biomedical Research Applications (21 papers), Single-cell and spatial transcriptomics (15 papers) and Immune Cell Function and Interaction (8 papers). Yu Lan is often cited by papers focused on Zebrafish Biomedical Research Applications (21 papers), Single-cell and spatial transcriptomics (15 papers) and Immune Cell Function and Interaction (8 papers). Yu Lan collaborates with scholars based in China, Czechia and Taiwan. Yu Lan's co-authors include Bing Liu, Xiao Yang, Yanli Ni, Jun Wang, Zongcheng Li, Chen Liu, Wenyan He, Yandong Gong, Xiaona Zheng and Guan Yang and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Yu Lan

68 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Lan China 20 1.1k 446 434 259 240 74 1.8k
Lucia Zanetta Italy 12 1.1k 1.0× 260 0.6× 531 1.2× 473 1.8× 323 1.3× 15 1.9k
Mark Winderlich Germany 12 896 0.9× 352 0.8× 253 0.6× 185 0.7× 159 0.7× 25 1.6k
Anastasia Sacharidou United States 21 948 0.9× 221 0.5× 398 0.9× 263 1.0× 149 0.6× 36 1.8k
Jackelyn A. Alva United States 10 1.6k 1.5× 358 0.8× 404 0.9× 387 1.5× 91 0.4× 13 2.4k
Céline Souilhol United Kingdom 17 972 0.9× 466 1.0× 546 1.3× 242 0.9× 150 0.6× 28 1.7k
Carolina L. Bigarella United States 15 791 0.8× 239 0.5× 207 0.5× 169 0.7× 227 0.9× 25 1.4k
Luca Zammataro Italy 18 1.2k 1.1× 867 1.9× 233 0.5× 293 1.1× 167 0.7× 39 2.4k
Kenichi Miharada Japan 18 751 0.7× 247 0.6× 258 0.6× 136 0.5× 435 1.8× 43 1.7k
Ivan B. Lobov United States 13 2.3k 2.2× 249 0.6× 362 0.8× 362 1.4× 80 0.3× 25 3.0k
Albert D. Kim United States 15 1.4k 1.3× 593 1.3× 817 1.9× 122 0.5× 260 1.1× 18 2.0k

Countries citing papers authored by Yu Lan

Since Specialization
Citations

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

Fields of papers citing papers by Yu Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Lan

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Lan. A scholar is included among the top collaborators of Yu Lan 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 Lan. Yu Lan 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.
Lan, Yu, Guoxin Liu, Hongjuan Li, et al.. (2025). Repurposing HIV protease inhibitors as senotherapeutic agents in cervical cancer: Dual targeting of CDK1/6-cell cycle arrest and p53/p21/p16 signaling axis. Biochemical and Biophysical Research Communications. 771. 152040–152040. 1 indexed citations
2.
Liu, Di, Haizhen Wang, Haifeng Chen, et al.. (2024). Ribosome biogenesis is essential for hemogenic endothelial cells to generate hematopoietic stem cells. Development. 151(21). 2 indexed citations
3.
Zhang, Haixia, Yating Yang, Yu Lan, et al.. (2024). Endoplasmic reticulum-targeted fluorescent probe with aggregation-induced emission features for imaging peroxynitrite in drug-induced liver injury model. Biosensors and Bioelectronics. 262. 116573–116573. 11 indexed citations
4.
Lan, Yu, et al.. (2024). Hyperhomocysteine promotes cataract development through mTOR-mediated inhibition of autophagy and connexins expression. International Immunopharmacology. 140. 112827–112827. 2 indexed citations
5.
Ni, Yanli, Yandong Gong, Yuan Du, et al.. (2024). Human yolk sac-derived innate lymphoid-biased multipotent progenitors emerge prior to hematopoietic stem cell formation. Developmental Cell. 59(19). 2626–2642.e6. 7 indexed citations
6.
Zheng, Zhaofeng, Han He, Xinyu Tang, et al.. (2022). Uncovering the emergence of HSCs in the human fetal bone marrow by single-cell RNA-seq analysis. Cell stem cell. 29(11). 1562–1579.e7. 23 indexed citations
7.
Zhang, Guangyu, Junjie Du, Di Liu, et al.. (2022). Pre-configuring chromatin architecture with histone modifications guides hematopoietic stem cell formation in mouse embryos. Nature Communications. 13(1). 346–346. 21 indexed citations
8.
Zhang, Man, Zhilei Bian, Huidong Guo, et al.. (2022). Decoding lymphomyeloid divergence and immune hyporesponsiveness in G-CSF-primed human bone marrow by single-cell RNA-seq. Cell Discovery. 8(1). 59–59. 10 indexed citations
9.
He, Jian, Tao Huang, Zhijie Bai, et al.. (2021). Hlf Expression Marks Early Emergence of Hematopoietic Stem Cell Precursors With Adult Repopulating Potential and Fate. Frontiers in Cell and Developmental Biology. 9. 728057–728057. 11 indexed citations
10.
Gong, Yandong, Zhilei Bian, Tao Huang, et al.. (2020). 2004 – DECIPHERING HUMAN MACROPHAGE DEVELOPMENT AT SINGLE-CELL RESOLUTION. Experimental Hematology. 88. S28–S28. 4 indexed citations
11.
Hou, Siyuan, Zongcheng Li, Xiaona Zheng, et al.. (2020). Embryonic endothelial evolution towards first hematopoietic stem cells revealed by single-cell transcriptomic and functional analyses. Cell Research. 30(5). 376–392. 84 indexed citations
12.
Ding, Shuang, et al.. (2020). Effects of HPV16 E6 protein on Daxx-induced apoptosis in C33A cells. Cellular & Molecular Biology Letters. 25(1). 38–38. 6 indexed citations
13.
Wang, Yanhua, Lirong Jiang, Xi Mo, et al.. (2017). Megakaryocytic Smad4 Regulates Platelet Function through Syk and ROCK2 Expression. Molecular Pharmacology. 92(3). 285–296. 6 indexed citations
14.
Zhou, Fan, Xianlong Li, Weili Wang, et al.. (2016). Tracing haematopoietic stem cell formation at single-cell resolution. Nature. 533(7604). 487–492. 263 indexed citations
15.
Chen, Jicheng, Ning Hou, Chong Zhang, et al.. (2015). Smooth Muscle Hgs Deficiency Leads to Impaired Esophageal Motility. International Journal of Biological Sciences. 11(7). 794–802. 5 indexed citations
16.
Lan, Yu, et al.. (2013). Application of proteomics to identify the target molecules involved in Lonicera japonica-induced photokilling in human lung cancer CH27 cells. BMC Complementary and Alternative Medicine. 13(1). 244–244. 10 indexed citations
17.
Xie, Bangxiang, Hui Zhang, Jian Wang, et al.. (2011). Analysis of Differentially Expressed Genes in LNCaP Prostate Cancer Progression Model. Journal of Andrology. 32(2). 170–182. 30 indexed citations
18.
Zhang, Hui, et al.. (2010). The radiation response of androgen-refractory prostate cancer cell line C4-2 derived from androgen-sensitive cell line LNCaP. Asian Journal of Andrology. 12(3). 405–414. 18 indexed citations
19.
Lan, Yu, et al.. (2010). PC-1 enhances <I>c-myc</I> gene expression in prostate cancer cells. Hereditas (Beijing). 32(4). 348–352. 1 indexed citations
20.
Xiang, Dan, et al.. (2004). [Inhibitive effect of previously activated psoralens on K562 cell proliferation].. PubMed. 12(5). 568–71.

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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