Ying Lu

1.9k total citations · 1 hit paper
56 papers, 945 citations indexed

About

Ying Lu is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Ying Lu has authored 56 papers receiving a total of 945 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 10 papers in Oncology and 5 papers in Cancer Research. Recurrent topics in Ying Lu's work include Peptidase Inhibition and Analysis (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers) and Cancer-related molecular mechanisms research (3 papers). Ying Lu is often cited by papers focused on Peptidase Inhibition and Analysis (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers) and Cancer-related molecular mechanisms research (3 papers). Ying Lu collaborates with scholars based in China, Australia and United States. Ying Lu's co-authors include Jinliang Yang, Yuqin Yao, Manyu Zhao, Shijie Zhou, Alexandra C. Racanelli, Mengzhu Wang, Huijie Cui, David L. Morris, Tinghong Ye and Ling Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Ying Lu

51 papers receiving 934 citations

Hit Papers

Targeting fibrosis: mechanisms and clinical trials 2022 2026 2023 2024 2022 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Targeting fibrosis: mechanisms and clinical trials
    2022 296 citations Manyu Zhao, Ying Lu et al. Signal Transduction and Targeted Therapy profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying Lu China 16 339 139 130 125 121 56 945
Mona Zamanian Azodi Iran 18 523 1.5× 114 0.8× 96 0.7× 99 0.8× 134 1.1× 101 1.0k
Xudong Feng China 19 454 1.3× 177 1.3× 148 1.1× 119 1.0× 205 1.7× 35 1.2k
Mohammad Mirza‐Aghazadeh‐Attari Iran 19 448 1.3× 163 1.2× 123 0.9× 218 1.7× 135 1.1× 96 1.4k
Dan Yao China 20 309 0.9× 82 0.6× 197 1.5× 208 1.7× 131 1.1× 65 1.0k
Peipei Lu China 18 408 1.2× 141 1.0× 95 0.7× 106 0.8× 217 1.8× 77 1.1k
Yongzhen Liu China 19 229 0.7× 71 0.5× 76 0.6× 114 0.9× 192 1.6× 64 870
Yingfeng Lu China 16 392 1.2× 70 0.5× 66 0.5× 105 0.8× 127 1.0× 42 1.2k

Countries citing papers authored by Ying Lu

Since Specialization
Citations

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

Fields of papers citing papers by Ying Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Lu. A scholar is included among the top collaborators of Ying Lu 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 Ying Lu. Ying Lu 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.
Zhan, Lei, Chunyuan Zhao, Xiuhong Cui, et al.. (2025). Recent advances on magnesium alloys for automotive cabin components: Materials, applications, and challenges. Journal of Materials Research and Technology. 36. 9924–9961. 5 indexed citations
2.
Gao, Li, Meng Hu, Yingjie Li, et al.. (2025). Comparative N-Glycoproteomics Reveals Subtype-Specific N-Glycosylation Signatures and Immune Associations in Cholangiocarcinoma. Molecular & Cellular Proteomics. 24(11). 101084–101084.
3.
Zhao, Yuan, Zheng Dong, Ying Lu, et al.. (2024). HIF-1α mediates hypertension and vascular remodeling in sleep apnea via hippo–YAP pathway activation. Molecular Medicine. 30(1). 281–281. 2 indexed citations
4.
Liu, Xinghui, et al.. (2024). Genome-Wide Mining of CULLIN E3 Ubiquitin Ligase Genes from Uncaria rhynchophylla. Plants. 13(4). 532–532. 2 indexed citations
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Lu, Ying, Siyu He, Baichuan Li, et al.. (2023). Multisite and multitimepoint proteomics reveal that patent foramen ovale closure improves migraine and epilepsy by reducing right‐to‐left shunt‐induced hypoxia. SHILAP Revista de lepidopterología. 4(4). e334–e334. 5 indexed citations
8.
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Zhao, Yunli, Wanyu Zhao, Qiukui Hao, et al.. (2021). Vitamin D status and obesity markers in older adults: results from West China Health and Aging Trends study. BMC Geriatrics. 21(1). 528–528. 6 indexed citations
10.
Li, Yanzhen, Hong Zhang, Jing‐Wen Yang, et al.. (2021). P2Y12 receptor as a new target for electroacupuncture relieving comorbidity of visceral pain and depression of inflammatory bowel disease. Chinese Medicine. 16(1). 139–139. 24 indexed citations
11.
Liu, Zehui, et al.. (2020). LvYY1 Activates WSSV ie1 Promoter for Enhanced Vaccine Production and Efficacy. Vaccines. 8(3). 510–510. 4 indexed citations
12.
Zhao, Manyu, Qianru Zhang, Ying Lu, et al.. (2020). The pharmacodynamic and differential gene expression analysis of PPAR α/δ agonist GFT505 in CDAHFD-induced NASH model. PLoS ONE. 15(12). e0243911–e0243911. 18 indexed citations
13.
Fan, Ruifang, et al.. (2019). Circular RNA hsa_circ_0002124 promotes hepatocellular carcinoma cell proliferation through the MAPK pathway. Translational Cancer Research. 8(2). 367–378. 1 indexed citations
14.
Yuan, Yuan, et al.. (2018). Long non-coding RNA LINC00339 facilitates the tumorigenesis of non-small cell lung cancer by sponging miR-145 through targeting FOXM1. Biomedicine & Pharmacotherapy. 105. 707–713. 41 indexed citations
15.
Zhang, Hang, Yuxi Wang, Yangping Wu, et al.. (2017). Therapeutic potential of an anti-HER2 single chain antibody–DM1 conjugates for the treatment of HER2-positive cancer. Signal Transduction and Targeted Therapy. 2(1). 17015–17015. 32 indexed citations
16.
Zhang, Peng, et al.. (2014). Knockdown of Rho-associated protein kinase 1 suppresses proliferation and invasion of glioma cells. Tumor Biology. 36(1). 421–428. 14 indexed citations
17.
Pourgholami, Mohammad H., Ying Lu, & David L. Morris. (2006). Albendazole inhibits paclitaxel-resistant 1A9PTX22 ovarian cancer cells.. Cancer Research. 66. 1271–1271. 2 indexed citations
18.
Wang, Yun, Mei Zhang, Ke Ke, & Ying Lu. (2005). Cellular localization and biochemical characterization of a novel calcium-dependent protein kinase from tobacco. Cell Research. 15(8). 604–612. 15 indexed citations
19.
Pourgholami, Mohammad H., Javed Akhter, Lisa Wang, Ying Lu, & David L. Morris. (2004). Antitumor activity of albendazole against the human colorectal cancer cell line HT-29: in vitro and in a xenograft model of peritoneal carcinomatosis. Cancer Chemotherapy and Pharmacology. 55(5). 425–432. 102 indexed citations
20.
Zhu, Liang, et al.. (2003). Molecular basis of Fas and cytochrome c pathways of apoptosisinduced by tartary buckwheat flavonoid in HL-60 cells. Methods and Findings in Experimental and Clinical Pharmacology. 25(6). 431–431. 15 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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