Lan Yang

1.2k total citations
29 papers, 925 citations indexed

About

Lan Yang is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Lan Yang has authored 29 papers receiving a total of 925 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 15 papers in Cancer Research and 5 papers in Immunology. Recurrent topics in Lan Yang's work include MicroRNA in disease regulation (9 papers), Circular RNAs in diseases (8 papers) and Cancer-related molecular mechanisms research (6 papers). Lan Yang is often cited by papers focused on MicroRNA in disease regulation (9 papers), Circular RNAs in diseases (8 papers) and Cancer-related molecular mechanisms research (6 papers). Lan Yang collaborates with scholars based in China, United States and Laos. Lan Yang's co-authors include Xiaomin Dang, Manxiang Li, Saihua Huang, Xiao Han, Caiyan Zhang, Jinrong Fu, Yufeng Zhou, Leilei Zheng, Bo Zhu and Aiqun Ma and has published in prestigious journals such as Scientific Reports, Biochemical and Biophysical Research Communications and International Journal of Molecular Sciences.

In The Last Decade

Lan Yang

28 papers receiving 924 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lan Yang China 19 607 370 145 128 88 29 925
Jing Xiong China 19 538 0.9× 298 0.8× 163 1.1× 139 1.1× 79 0.9× 48 918
Gwennan André‐Grégoire France 17 432 0.7× 219 0.6× 76 0.5× 127 1.0× 109 1.2× 35 795
Liankun Gu China 21 736 1.2× 315 0.9× 121 0.8× 94 0.7× 95 1.1× 53 1.1k
Jun Shi China 16 560 0.9× 306 0.8× 68 0.5× 70 0.5× 96 1.1× 39 817
Quan Zheng China 14 412 0.7× 202 0.5× 100 0.7× 84 0.7× 71 0.8× 56 727
Yan Pan China 15 574 0.9× 404 1.1× 161 1.1× 87 0.7× 114 1.3× 46 939
Ender Çoşkunpınar Türkiye 16 468 0.8× 344 0.9× 77 0.5× 105 0.8× 90 1.0× 66 951

Countries citing papers authored by Lan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Lan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lan Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Lan Yang. A scholar is included among the top collaborators of Lan Yang 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 Lan Yang. Lan Yang 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.
Dong, Ying, Chengyue Zhu, Lan Yang, et al.. (2024). Targeting CCL2-CCR2 signaling pathway alleviates macrophage dysfunction in COPD via PI3K-AKT axis. Cell Communication and Signaling. 22(1). 364–364. 13 indexed citations
2.
Xu, Ming, Chengkai Li, Lin Chen, et al.. (2024). Assessing the causal relationship between 731 immunophenotypes and the risk of lung cancer: a bidirectional mendelian randomization study. BMC Cancer. 24(1). 270–270. 9 indexed citations
3.
Zhao, Zhenxing, Ming Ye, Xiang Li, et al.. (2023). Hyperglycemia Aggravates Periodontitis via Autophagy Impairment and ROS-Inflammasome-Mediated Macrophage Pyroptosis. International Journal of Molecular Sciences. 24(7). 6309–6309. 35 indexed citations
4.
Zhu, Bo, et al.. (2022). CircACC1 Promotes NSCLC Proliferation via miR-29c-3p/MCL-1 Signaling Pathway. Frontiers in Genetics. 12. 798587–798587. 3 indexed citations
5.
Guo, Tuanmao, et al.. (2021). Long Non-Coding RNA NEAT1 Knockdown Alleviates Rheumatoid Arthritis by Reducing IL-18 through p300/CBP Repression. Inflammation. 45(1). 100–115. 18 indexed citations
6.
Zhang, Caiyan, Xiao Han, Lan Yang, et al.. (2020). Circular RNA circPPM1F modulates M1 macrophage activation and pancreatic islet inflammation in type 1 diabetes mellitus. Theranostics. 10(24). 10908–10924. 126 indexed citations
7.
Yang, Lan, Xiao Han, Caiyan Zhang, et al.. (2020). Hsa_circ_0060450 Negatively Regulates Type I Interferon-Induced Inflammation by Serving as miR-199a-5p Sponge in Type 1 Diabetes Mellitus. Frontiers in Immunology. 11. 576903–576903. 47 indexed citations
8.
Dang, Xiaomin, Lan Yang, Jianxin Guo, et al.. (2019). miR-145-5p is associated with smoke-related chronic obstructive pulmonary disease via targeting KLF5. Chemico-Biological Interactions. 300. 82–90. 45 indexed citations
9.
Zhu, Yanting, Fangwei Li, Wenhua Shi, et al.. (2018). COP9 signalosome subunit 6 mediates PDGF -induced pulmonary arterial smooth muscle cells proliferation. Experimental Cell Research. 371(2). 379–388. 8 indexed citations
10.
Ma, Bo, Jie Liu, Lan Yang, et al.. (2018). CTGF Contributes to the Development of Posterior Capsule Opacification: an in vitro and in vivo study. International Journal of Biological Sciences. 14(4). 437–448. 19 indexed citations
11.
Tang, Yuying, Leilei Zheng, Jie Zhou, et al.. (2018). miR‑203‑3p participates in the suppression of diabetes‑associated osteogenesis in the jaw bone through targeting Smad1. International Journal of Molecular Medicine. 41(3). 1595–1607. 28 indexed citations
12.
Wu, Caijuan, Zhichao Zheng, Wen Ren, et al.. (2018). Mm9_circ_009056 enhances osteogenesis by targeting BMP7 via CGRP-mediated miR-22–3p. Biochemical and Biophysical Research Communications. 501(1). 199–205. 26 indexed citations
13.
Hu, Yun, Lan Yang, Jie Zhou, et al.. (2017). Runx2 alleviates high glucose‐suppressed osteogenic differentiation via PI3K/AKT/GSK3β/β‐catenin pathway. Cell Biology International. 41(8). 822–832. 50 indexed citations
14.
Zhu, Yanting, Xin Yan, Cui Zhai, Lan Yang, & Manxiang Li. (2017). Association between risk of asthma and gene polymorphisms in CHI3L1 and CHIA: a systematic meta-analysis. BMC Pulmonary Medicine. 17(1). 193–193. 17 indexed citations
15.
Li, Shaojun, Yilin Pan, Rui Ke, et al.. (2017). Inhibition of phosphodiesterase-5 suppresses calcineurin/NFAT- mediated TRPC6 expression in pulmonary artery smooth muscle cells. Scientific Reports. 7(1). 6088–6088. 13 indexed citations
16.
Deng, Tian, Lan Yang, Zhichao Zheng, et al.. (2017). Calcitonin gene-related peptide induces IL-6 expression in RAW264.7 macrophages mediated by mmu_circRNA_007893. Molecular Medicine Reports. 16(6). 9367–9374. 30 indexed citations
17.
Liu, Lu, Yilin Pan, Yang Song, et al.. (2016). Activation of AMPK α2 inhibits airway smooth muscle cells proliferation. European Journal of Pharmacology. 791. 235–243. 28 indexed citations
18.
Wang, Guizuo, Yang Song, Wei Feng, et al.. (2016). Activation of AMPK attenuates LPS-induced acute lung injury by upregulation of PGC1α and SOD1. Experimental and Therapeutic Medicine. 12(3). 1551–1555. 38 indexed citations
19.
Dang, Xiaomin, Aiqun Ma, Lan Yang, et al.. (2012). MicroRNA-26a regulates tumorigenic properties of EZH2 in human lung carcinoma cells. Cancer Genetics. 205(3). 113–123. 82 indexed citations
20.
Li, Manxiang, Zongfang Li, Xiuzhen Sun, et al.. (2010). Heme oxygenase‐1/p21WAF1 mediates peroxisome proliferator‐activated receptor‐γ signaling inhibition of proliferation of rat pulmonary artery smooth muscle cells. FEBS Journal. 277(6). 1543–1550. 62 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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