Jingyuan Li

2.8k total citations · 1 hit paper
18 papers, 2.1k citations indexed

About

Jingyuan Li is a scholar working on Cancer Research, Molecular Biology and Rheumatology. According to data from OpenAlex, Jingyuan Li has authored 18 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cancer Research, 13 papers in Molecular Biology and 2 papers in Rheumatology. Recurrent topics in Jingyuan Li's work include Cancer-related molecular mechanisms research (8 papers), MicroRNA in disease regulation (6 papers) and Circular RNAs in diseases (5 papers). Jingyuan Li is often cited by papers focused on Cancer-related molecular mechanisms research (8 papers), MicroRNA in disease regulation (6 papers) and Circular RNAs in diseases (5 papers). Jingyuan Li collaborates with scholars based in China, United States and Malaysia. Jingyuan Li's co-authors include Joseph A. Tangrea, William J. Blot, Yunhai Zhang, Shan Zheng, Bo Li, Wendi Guo, Yang Yu, Bing Liu, Chung S. Yang and Fangzhou Liu and has published in prestigious journals such as Journal of Biological Chemistry, JNCI Journal of the National Cancer Institute and Journal of Medicinal Chemistry.

In The Last Decade

Jingyuan Li

16 papers receiving 2.0k citations

Hit Papers

Nutrition Intervention Trials in Linxian, China: Suppleme... 1993 2026 2004 2015 1993 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jingyuan Li China 14 941 666 650 521 273 18 2.1k
Liansheng Wang China 30 1.3k 1.4× 641 1.0× 172 0.3× 97 0.2× 108 0.4× 154 3.0k
Santhini Ramasamy United States 18 658 0.7× 362 0.5× 197 0.3× 316 0.6× 33 0.1× 24 2.4k
Juliana Hwang United States 19 401 0.4× 80 0.1× 390 0.6× 250 0.5× 98 0.4× 25 1.6k
D Ratnasinghe United States 19 763 0.8× 394 0.6× 65 0.1× 123 0.2× 167 0.6× 22 1.4k
Ute M. Liegibel Germany 19 460 0.5× 283 0.4× 211 0.3× 138 0.3× 48 0.2× 29 1.3k
Qiqi Mao China 24 1.0k 1.1× 534 0.8× 86 0.1× 66 0.1× 136 0.5× 76 1.8k
Órla P. Barry Ireland 14 965 1.0× 229 0.3× 209 0.3× 93 0.2× 43 0.2× 21 1.9k
Mirko Tarocchi Italy 19 771 0.8× 307 0.5× 83 0.1× 100 0.2× 56 0.2× 37 1.9k
Katarı́na Volkovová Slovakia 24 484 0.5× 299 0.4× 77 0.1× 129 0.2× 108 0.4× 67 1.5k

Countries citing papers authored by Jingyuan Li

Since Specialization
Citations

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

Fields of papers citing papers by Jingyuan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingyuan Li

This figure shows the co-authorship network connecting the top 25 collaborators of Jingyuan Li. A scholar is included among the top collaborators of Jingyuan Li 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 Jingyuan Li. Jingyuan Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Li, Jingyuan, Jingyuan Li, Ziyi Li, et al.. (2025). Histone lactylation bridges metabolic reprogramming with chromatin-immune crosstalk in triple-negative breast cancer. Cancer Letters. 639. 218227–218227.
2.
Xu, Gang, Lijuan Gao, Jingyuan Li, et al.. (2024). Developing an Arene Binuclear Ruthenium(II) Complex to Induce Ferroptosis and Activate the cGAS-STING Pathway: Targeted Inhibiting Growth and Metastasis of Triple Negative Breast Cancer. Journal of Medicinal Chemistry. 67(21). 19573–19585. 14 indexed citations
3.
Ma, Yihan, Chenyang Cai, Jingyuan Li, et al.. (2023). Genome-wide DNA methylation and transcriptome analyses reveal important epigenetic genes associated with valgus-varus deformity in broilers. British Poultry Science. 64(4). 456–466.
4.
Pan, Shuo, Yanpeng Ma, Qianwei Cui, et al.. (2022). Advanced glycation end products correlate with breast cancer metastasis by activating RAGE/TLR4 signaling. BMJ Open Diabetes Research & Care. 10(2). e002697–e002697. 22 indexed citations
5.
Wang, Shasha, Qing Gu, Nian Liu, Jingyuan Li, & Xiangyun Liu. (2021). Aerobic exercise attenuates ectopic renal sinus adipose tissue accumulation-related renal hypoxia injury in obese mice. Life Sciences. 279. 119106–119106. 7 indexed citations
6.
Li, Jingyuan, Muhammad Jamal, Tian Xie, et al.. (2021). LINC00853 restrains T cell acute lymphoblastic leukemia invasion and infiltration by regulating CCR9/CCL25. Molecular Immunology. 140. 267–275. 12 indexed citations
7.
Wang, Jicheng, et al.. (2019). The Role of lncRNAs in Osteogenic Differentiation of Bone Marrow Mesenchymal Stem Cells. Current Stem Cell Research & Therapy. 15(3). 243–249. 22 indexed citations
8.
Wang, Jicheng, et al.. (2019). Roles for miRNAs in osteogenic differentiation of bone marrow mesenchymal stem cells. Stem Cell Research & Therapy. 10(1). 197–197. 123 indexed citations
9.
Wu, Yingjie, Shan Pan, Tian Xie, et al.. (2019). The prognostic value of matrix metalloproteinase‐7 and matrix metalloproteinase‐15 in acute myeloid leukemia. Journal of Cellular Biochemistry. 120(6). 10613–10624. 13 indexed citations
10.
Wang, Jicheng, et al.. (2019). The role of the fibroblast growth factor family in bone‐related diseases. Chemical Biology & Drug Design. 94(4). 1740–1749. 28 indexed citations
11.
Li, Jingyuan, et al.. (2016). The Roles of Sox Family Genes in Sarcoma. Current Drug Targets. 17(15). 1761–1772. 21 indexed citations
12.
Zhang, Xiaoyu, Shuchen Li, Mingrong Li, et al.. (2016). Hypoxia-inducible factor-1α mediates the toll-like receptor 4 signaling pathway leading to anti-tumor effects in human hepatocellular carcinoma cells under hypoxic conditions. Oncology Letters. 12(2). 1034–1040. 14 indexed citations
13.
Yang, Yongkang, et al.. (2015). MicroRNA-494 promotes cervical cancer proliferation through the regulation of PTEN. Oncology Reports. 33(5). 2393–2401. 49 indexed citations
14.
Li, Jingyuan, Lijuan Wang, Zongzhi Liu, et al.. (2015). MicroRNA-494 inhibits cell proliferation and invasion of chondrosarcoma cellsin vivoandin vitroby directly targeting SOX9. Oncotarget. 6(28). 26216–26229. 42 indexed citations
15.
Li, Jingyuan, Jing Li, Xiaojun Liu, et al.. (2013). Micro RNA expression profile and functional analysis reveal that mi R ‐382 is a critical novel gene of alcohol addiction. EMBO Molecular Medicine. 5(9). 1402–1414. 60 indexed citations
16.
Dong, Shimin, Yunhui Cheng, Jian Yang, et al.. (2009). MicroRNA Expression Signature and the Role of MicroRNA-21 in the Early Phase of Acute Myocardial Infarction. Journal of Biological Chemistry. 284(43). 29514–29525. 393 indexed citations
17.
Li, Jingyuan, Hurng‐Yi Wang, Qiang Liu, et al.. (2008). Transcriptome Analysis of a cDNA Library from Adult Human Epididymis. DNA Research. 15(3). 115–122. 21 indexed citations
18.
Blot, William J., Jingyuan Li, Phil R. Taylor, et al.. (1993). Nutrition Intervention Trials in Linxian, China: Supplementation With Specific Vitamin/Mineral Combinations, Cancer Incidence, and Disease-Specific Mortality in the General Population. JNCI Journal of the National Cancer Institute. 85(18). 1483–1491. 1280 indexed citations breakdown →

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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