Junjun Li

2.4k total citations
70 papers, 1.6k citations indexed

About

Junjun Li is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Junjun Li has authored 70 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 27 papers in Cancer Research and 10 papers in Oncology. Recurrent topics in Junjun Li's work include Cancer-related molecular mechanisms research (12 papers), MicroRNA in disease regulation (11 papers) and RNA modifications and cancer (11 papers). Junjun Li is often cited by papers focused on Cancer-related molecular mechanisms research (12 papers), MicroRNA in disease regulation (11 papers) and RNA modifications and cancer (11 papers). Junjun Li collaborates with scholars based in China, United States and Macao. Junjun Li's co-authors include Nanxiang Xiong, Xiaoling Li, Bo Xiang, Mei Yi, Guiyuan Li, Hongliang Yuan, Hongyang Zhao, Jing Cai, Yuanyuan Ban and Wei Xiong and has published in prestigious journals such as Cancer Research, Scientific Reports and Food Chemistry.

In The Last Decade

Junjun Li

67 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junjun Li China 23 1.1k 717 221 158 132 70 1.6k
Vivi Kasim China 24 1.3k 1.2× 528 0.7× 253 1.1× 153 1.0× 91 0.7× 62 1.9k
Feifei Li China 27 1.4k 1.3× 453 0.6× 241 1.1× 177 1.1× 57 0.4× 120 2.2k
Hongjie Shen China 20 2.0k 1.8× 742 1.0× 217 1.0× 119 0.8× 96 0.7× 109 2.6k
Susana Romero‐Garcia Mexico 16 793 0.7× 408 0.6× 288 1.3× 251 1.6× 70 0.5× 27 1.4k
Chun A. Changou Taiwan 25 695 0.6× 342 0.5× 238 1.1× 191 1.2× 93 0.7× 41 1.3k
Fen Yang China 23 1.6k 1.4× 608 0.8× 282 1.3× 105 0.7× 78 0.6× 52 2.3k
Keiko Kawauchi Japan 21 1.2k 1.1× 557 0.8× 451 2.0× 250 1.6× 196 1.5× 63 1.9k
Shujuan Shao China 23 1.3k 1.1× 690 1.0× 311 1.4× 162 1.0× 40 0.3× 61 1.8k
Huarong Huang China 22 1.1k 1.0× 708 1.0× 140 0.6× 106 0.7× 42 0.3× 55 1.7k
Alan Yueh‐Luen Lee Taiwan 25 1.6k 1.5× 438 0.6× 531 2.4× 287 1.8× 69 0.5× 52 2.3k

Countries citing papers authored by Junjun Li

Since Specialization
Citations

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

Fields of papers citing papers by Junjun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junjun Li

This figure shows the co-authorship network connecting the top 25 collaborators of Junjun Li. A scholar is included among the top collaborators of Junjun 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 Junjun Li. Junjun Li 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.
Li, Shi, Yimin Li, Wenjing Sun, et al.. (2025). Targeted suppression of glioma by ultralow-dose x-ray–induced photodynamic therapy and gold-based nanoclusters in preclinical models. Science Translational Medicine. 17(802). eadq5331–eadq5331.
2.
Wang, Botao, Junjun Li, Liwen Liu, et al.. (2025). USP14 modulates stem-like properties, tumorigenicity, and radiotherapy resistance in glioblastoma stem cells through stabilization of MST4-phosphorylated ALKBH5. Theranostics. 15(6). 2293–2314. 6 indexed citations
3.
Lin, Huashan, et al.. (2024). Integrative radiopathomics model for predicting progression-free survival in patients with nonmetastatic nasopharyngeal carcinoma. Journal of Cancer Research and Clinical Oncology. 150(9). 415–415. 1 indexed citations
5.
Li, Junjun, Keshan Wang, Chao Yang, et al.. (2023). Tumor‐Associated Macrophage‐Derived Exosomal LINC01232 Induces the Immune Escape in Glioma by Decreasing Surface MHC‐I Expression. Advanced Science. 10(17). e2207067–e2207067. 55 indexed citations
6.
Jiang, Cheng, et al.. (2023). A prognostic NAD+ metabolism-related gene signature for predicting response to immune checkpoint inhibitor in glioma. Frontiers in Oncology. 13. 1051641–1051641. 5 indexed citations
7.
Li, Junjun, et al.. (2022). Zerumbone, a major sesquiterpene from Syringa pinnatifolia Hemsl., exerts the sedative effect by regulating GABAergic nervous system. Journal of Ethnopharmacology. 301. 115813–115813. 7 indexed citations
9.
Peng, Mingjing, Songqing Fan, Junjun Li, et al.. (2022). Programmed death-ligand 1 signaling and expression are reversible by lycopene via PI3K/AKT and Raf/MEK/ERK pathways in tongue squamous cell carcinoma. Genes & Nutrition. 17(1). 3–3. 15 indexed citations
10.
Li, Junjun, et al.. (2021). In silico formulation prediction of drug/cyclodextrin/polymer ternary complexes by machine learning and molecular modeling techniques. Carbohydrate Polymers. 275. 118712–118712. 26 indexed citations
11.
Guo, Jianhui, Liyan Li, Wei Ma, et al.. (2021). Neuroprotective effects of long noncoding RNAs involved in ischemic postconditioning after ischemic stroke. Neural Regeneration Research. 17(6). 1299–1299. 5 indexed citations
12.
Li, Junjun, Tingting Liao, Hongya Liu, et al.. (2020). Hypoxic Glioma Stem Cell–Derived Exosomes Containing Linc01060 Promote Progression of Glioma by Regulating the MZF1/c-Myc/HIF1α Axis. Cancer Research. 81(1). 114–128. 94 indexed citations
13.
Li, Junjun, Hongliang Yuan, Hao Xu, Hongyang Zhao, & Nanxiang Xiong. (2020). Hypoxic Cancer-Secreted Exosomal miR-182-5p Promotes Glioblastoma Angiogenesis by Targeting Kruppel-like Factor 2 and 4. Molecular Cancer Research. 18(8). 1218–1231. 108 indexed citations
14.
Zhang, Danping, Qiong Bian, Junjun Li, Qiaoling Huang, & Jianqing Gao. (2020). Enhancing effect of fumaric acid on transdermal penetration of loxoprofen sodium. International Journal of Pharmaceutics. 588. 119722–119722. 15 indexed citations
15.
Li, Junjun, Jianying Shen, Zhen Wang, et al.. (2019). ELTD1 facilitates glioma proliferation, migration and invasion by activating JAK/STAT3/HIF-1α signaling axis. Scientific Reports. 9(1). 13904–13904. 36 indexed citations
16.
Li, Jieling, Xiao Wang, Kai Zheng, et al.. (2019). The clinical significance of collagen family gene expression in esophageal squamous cell carcinoma. PeerJ. 7. e7705–e7705. 42 indexed citations
17.
Yin, Xu, Feng Zhao, Xiao Feng, et al.. (2018). Four new spirobenzylisoquinoline N-oxide alkaloids from the whole plant of Corydalis hendersonii. Fitoterapia. 128. 31–35. 8 indexed citations
18.
Chen, Le, Ying Yao, Jiajia Zhou, et al.. (2017). Snail Driving Alternative Splicing of CD44 by ESRP1 Enhances Invasion and Migration in Epithelial Ovarian Cancer. Cellular Physiology and Biochemistry. 43(6). 2489–2504. 53 indexed citations
19.
Liu, Xin, Xuefeng Yang, Fang Lei, et al.. (2015). The roles of parafibromin expression in ovarian epithelial carcinomas: a marker for differentiation and prognosis and a target for gene therapy. Tumor Biology. 37(3). 2909–2924. 13 indexed citations
20.
Chen, Le, Ying Yao, Jiajia Zhou, et al.. (2015). Clinical implication of the serum galectin-1 expression in epithelial ovarian cancer patients. Journal of Ovarian Research. 8(1). 78–78. 29 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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