Li Ju

546 total citations
40 papers, 438 citations indexed

About

Li Ju is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Li Ju has authored 40 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 12 papers in Pulmonary and Respiratory Medicine and 10 papers in Cancer Research. Recurrent topics in Li Ju's work include Occupational and environmental lung diseases (11 papers), MicroRNA in disease regulation (6 papers) and Cancer-related molecular mechanisms research (4 papers). Li Ju is often cited by papers focused on Occupational and environmental lung diseases (11 papers), MicroRNA in disease regulation (6 papers) and Cancer-related molecular mechanisms research (4 papers). Li Ju collaborates with scholars based in China, United States and Iran. Li Ju's co-authors include Peijian Tong, Bo Jiang, Yue Lou, Pál Pacher, Noureddine Loukili, Lucas Liaudet, F. Feihl, Nathalie Rosenblatt‐Velin, B. Waeber and Jianlin Lou and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Environment International.

In The Last Decade

Li Ju

38 papers receiving 431 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Li Ju China 12 146 78 63 54 51 40 438
Martijn F. Hoes Netherlands 15 190 1.3× 67 0.9× 27 0.4× 26 0.5× 60 1.2× 23 817
Pengcheng Wang China 13 150 1.0× 36 0.5× 56 0.9× 63 1.2× 49 1.0× 29 457
Sylvie Sébillaud France 12 195 1.3× 31 0.4× 111 1.8× 65 1.2× 39 0.8× 26 475
Shanhong Yi China 14 164 1.1× 147 1.9× 25 0.4× 40 0.7× 52 1.0× 35 541
Jennifer Wilder United States 11 154 1.1× 85 1.1× 27 0.4× 26 0.5× 30 0.6× 14 546
Huirong Huang China 14 211 1.4× 52 0.7× 140 2.2× 64 1.2× 50 1.0× 23 550
Jia Peng China 12 282 1.9× 157 2.0× 51 0.8× 139 2.6× 60 1.2× 27 782
Kento Nishida Japan 15 257 1.8× 90 1.2× 34 0.5× 29 0.5× 27 0.5× 31 612
Shilpa Thakur India 13 291 2.0× 73 0.9× 87 1.4× 132 2.4× 49 1.0× 39 687
Weijing Feng China 15 316 2.2× 92 1.2× 28 0.4× 150 2.8× 68 1.3× 34 687

Countries citing papers authored by Li Ju

Since Specialization
Citations

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

Fields of papers citing papers by Li Ju

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Ju

This figure shows the co-authorship network connecting the top 25 collaborators of Li Ju. A scholar is included among the top collaborators of Li Ju 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 Li Ju. Li Ju 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.
Chen, Jing, Peiheng Li, Li Ju, et al.. (2025). Chicken interferon-induced transmembrane proteins inhibit Newcastle disease virus infection by affecting viral entry and W protein expression. Veterinary Research. 56(1). 104–104. 1 indexed citations
2.
Ju, Li, Jiasi Zhang, & Pei Zhang. (2025). METTL11A serves as a novel therapeutic target for acute myeloid leukemia through regulation of the p38-MAPK pathway. Translational Cancer Research. 14(8). 4561–4573.
3.
Cheng, Lu, Lingxiao Xu, Li Ju, et al.. (2023). Gender differences in patients with anti-MDA5-positive dermatomyositis: a cohort study of 251 cases. Clinical Rheumatology. 43(1). 339–347. 9 indexed citations
4.
Jiang, Zhaoqiang, Junqiang Chen, Junfei Chen, et al.. (2022). Mortality due to respiratory system disease and lung cancer among female workers exposed to chrysotile in Eastern China: A cross-sectional study. Frontiers in Oncology. 12. 928839–928839. 1 indexed citations
5.
Luo, Wei, et al.. (2021). ERK Activation-Mediated Autophagy Induction Resists Licochalcone A-Induced Anticancer Activities in Lung Cancer Cells in vitro. OncoTargets and Therapy. Volume 13. 13437–13450. 19 indexed citations
6.
Zhang, Min, et al.. (2021). Role of PARP1 on DNA damage induced by mineral silicate chrysotile in bronchial epithelial and pleural mesothelial cells. Environmental Science and Pollution Research. 28(30). 40871–40878. 1 indexed citations
7.
Shi, Li, Lingfang Feng, Yan Tong, et al.. (2021). Genome wide profiling of miRNAs relevant to the DNA damage response induced by hexavalent chromium exposure (DDR-related miRNAs in response to Cr (VI) exposure). Environment International. 157. 106782–106782. 18 indexed citations
9.
Feng, Lingfang, Zhaoqiang Jiang, Junqiang Chen, et al.. (2020). Exploration of identifying novel serum biomarkers for malignant mesothelioma using iTRAQ combined with 2D-LC-MS/MS. Environmental Research. 193. 110467–110467. 4 indexed citations
10.
Feng, Lingfang, Jing Du, Zhaoqiang Jiang, et al.. (2020). Ribosomal DNA copy number is associated with P53 status and levels of heavy metals in gastrectomy specimens from gastric cancer patients. Environment International. 138. 105593–105593. 27 indexed citations
11.
Zhang, Min, Min Yu, Li Ju, et al.. (2018). N-acetylcysteine prevents cytotoxic effects induced by man-made mineral fibers in a human bronchial epithelial cell line. Toxicology in Vitro. 53. 200–207. 8 indexed citations
12.
Jiang, Zhaoqiang, Shibo Ying, Wei Shen, et al.. (2017). Plasma Fibulin-3 as a Potential Biomarker for Patients with Asbestos-Related Diseases in the Han Population. Disease Markers. 2017. 1–8. 15 indexed citations
13.
Ju, Li, Min Yu, Jianlin Lou, et al.. (2017). Different Cellular Response of Human Mesothelial Cell MeT-5A to Short-Term and Long-Term Multiwalled Carbon Nanotubes Exposure. BioMed Research International. 2017. 1–10. 12 indexed citations
14.
Ju, Li, et al.. (2017). Autocrine VEGF and IL-8 Promote Migration via Src/Vav2/Rac1/PAK1 Signaling in Human Umbilical Vein Endothelial Cells. Cellular Physiology and Biochemistry. 41(4). 1346–1359. 36 indexed citations
15.
Ju, Li, Guanglin Zhang, Xing Zhang, et al.. (2014). Proteomic Analysis of Cellular Response Induced by Multi-Walled Carbon Nanotubes Exposure in A549 Cells. PLoS ONE. 9(1). e84974–e84974. 36 indexed citations
16.
Zheng, Pengfei, Li Ju, Bo Jiang, et al.. (2013). Chondrogenic differentiation of human umbilical cord blood-derived mesenchymal stem cells by co-culture with rabbit chondrocytes. Molecular Medicine Reports. 8(4). 1169–1174. 17 indexed citations
17.
Ju, Li, Junqiang Chen, Zhaoqiang Jiang, et al.. (2012). [Screening of differentially expressed serum proteins in patients with asbestosis].. PubMed. 30(6). 408–12. 1 indexed citations
18.
Tong, Peijian, et al.. (2011). Bilateral synchronous total hip arthroplasty for ankylosed hips. International Orthopaedics. 36(4). 697–701. 46 indexed citations
19.
Loukili, Noureddine, Nathalie Rosenblatt‐Velin, Li Ju, et al.. (2010). Peroxynitrite induces HMGB1 release by cardiac cells in vitro and HMGB1 upregulation in the infarcted myocardium in vivo. Cardiovascular Research. 89(3). 586–594. 69 indexed citations
20.
Ju, Li. (1995). Immunoregulatory mechanisms of total glucosides of paeony in adjuvant arthritic rats. Zhongguo yaolixue tongbao. 2 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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