Dong Li

3.7k total citations · 1 hit paper
121 papers, 2.8k citations indexed

About

Dong Li is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Dong Li has authored 121 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Molecular Biology, 37 papers in Cancer Research and 17 papers in Epidemiology. Recurrent topics in Dong Li's work include MicroRNA in disease regulation (18 papers), Cancer-related molecular mechanisms research (13 papers) and Circular RNAs in diseases (11 papers). Dong Li is often cited by papers focused on MicroRNA in disease regulation (18 papers), Cancer-related molecular mechanisms research (13 papers) and Circular RNAs in diseases (11 papers). Dong Li collaborates with scholars based in China, United States and Germany. Dong Li's co-authors include Anquan Shang, Junlu Wu, Wenqiang Quan, Zujun Sun, Ping Ji, Chenzheng Gu, Weiwei Wang, Bingjie Zeng, Junjun Sun and Yiwen Yao and has published in prestigious journals such as Blood, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Dong Li

110 papers receiving 2.7k citations

Hit Papers

Exosomal circPACRGL promotes progression of colorectal ca... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dong Li China 30 1.7k 1.1k 303 275 252 121 2.8k
Xue Gao China 33 2.3k 1.4× 1.5k 1.3× 364 1.2× 312 1.1× 431 1.7× 106 3.8k
Kang Yang China 28 1.7k 1.0× 1.3k 1.2× 273 0.9× 337 1.2× 350 1.4× 134 2.9k
Shicheng Guo China 31 2.0k 1.2× 989 0.9× 228 0.8× 224 0.8× 476 1.9× 116 3.3k
Bing Chen China 27 2.0k 1.2× 1.2k 1.1× 167 0.6× 183 0.7× 470 1.9× 151 3.1k
Zheng Zhang China 29 1.5k 0.9× 762 0.7× 220 0.7× 315 1.1× 333 1.3× 128 3.0k
Yu‐Shui Ma China 31 1.9k 1.1× 1.3k 1.1× 218 0.7× 224 0.8× 619 2.5× 117 3.0k
Shuai Zhang China 30 1.3k 0.8× 830 0.7× 233 0.8× 214 0.8× 491 1.9× 183 2.7k

Countries citing papers authored by Dong Li

Since Specialization
Citations

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

Fields of papers citing papers by Dong Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dong Li

This figure shows the co-authorship network connecting the top 25 collaborators of Dong Li. A scholar is included among the top collaborators of Dong 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 Dong Li. Dong 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.
Wang, Qianqian, Chunxiang Feng, Xiao‐Yong Pu, et al.. (2025). Biomimetic mineralized DCPA/ anti-CD47 containing thermo-sensitive injectable hydrogel for bone-metastatic prostate cancer treatment. Materials Today Bio. 31. 101573–101573. 3 indexed citations
2.
Liu, Liping, et al.. (2025). Endogenous IL-33 inhibits apoptosis in non-small cell lung cancer cells by regulating BCL2/BAX via the ERK1/2 pathway. Scientific Reports. 15(1). 6422–6422. 1 indexed citations
3.
Lu, Renquan, Ying Wu, Yiwen Yao, et al.. (2025). TERC Stimulates Fatty Acid Metabolism to Promote Bladder Cancer Progression. Cancer Research. 85(19). 3689–3705.
4.
Li, Dong, et al.. (2025). Hyaluronan-based hydrogel achieves in situ administration of protocatechualdehyde to polarize macrophages to M2 phenotype for diabetic wound therapy. International Journal of Biological Macromolecules. 318(Pt 3). 145118–145118. 2 indexed citations
5.
Gu, Chenzheng, Wenjing Chang, Junlu Wu, et al.. (2022). NCOA4: An Immunomodulation-Related Prognostic Biomarker in Colon Adenocarcinoma and Pan-Cancer. Journal of Oncology. 2022. 1–24. 11 indexed citations
6.
Shang, Anquan, Zujun Sun, Wenjing Chang, et al.. (2022). Urinary Exosomal Long Noncoding RNA TERC as a Noninvasive Diagnostic and Prognostic Biomarker for Bladder Urothelial Carcinoma. Journal of Immunology Research. 2022. 1–9. 29 indexed citations
7.
Dai, Liang, Baocheng Liu, Yanqi Dang, et al.. (2022). Lingguizhugan Decoction, a Chinese herbal formula, improves insulin resistance in overweight/obese subjects with non-alcoholic fatty liver disease: a translational approach. Frontiers of Medicine. 16(5). 745–759. 27 indexed citations
8.
Sun, Junjun, et al.. (2021). N6-Methyladenosine-Regulated mRNAs: Potential Prognostic Biomarkers for Patients With Lung Adenocarcinoma. Frontiers in Cell and Developmental Biology. 9. 705962–705962. 11 indexed citations
9.
Yang, Juan, Zhouxue Wu, Yao Chen, et al.. (2020). Pre-treatment with Bifidobacterium infantis and its specific antibodies enhance targeted radiosensitization in a murine model for lung cancer. Journal of Cancer Research and Clinical Oncology. 147(2). 411–422. 25 indexed citations
11.
Cotter, Thomas G., et al.. (2020). Nonalcoholic fatty liver disease: impact on healthcare resource utilization, liver transplantation and mortality in a large, integrated healthcare system. Journal of Gastroenterology. 55(7). 722–730. 16 indexed citations
12.
Ji, Ping, Yibao Yang, Junlu Wu, et al.. (2019). Myeloid cell-derived LL-37 promotes lung cancer growth by activating Wnt/β-catenin signaling. Theranostics. 9(8). 2209–2223. 39 indexed citations
13.
Jiang, Xu, Guodong Fang, Dong Li, et al.. (2018). Chemical chaperone 4-phenylbutyric acid alleviates the aggregation of human familial pulmonary fibrosis-related mutant SP-A2 protein in part through effects on GRP78. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1864(10). 3546–3557. 8 indexed citations
14.
Li, Dong, Shangying Hu, Qian Zhang, et al.. (2017). Risk Prediction of Cervical Cancer and Precancers by Type-Specific Human Papillomavirus: Evidence from a Population-Based Cohort Study in China. Cancer Prevention Research. 10(12). 745–751. 18 indexed citations
15.
Xiong, Yan, et al.. (2017). [Clinical significance and mechanism of upregulation of PI3Kp110α in non-small cell lung carcinoma].. PubMed. 39(10). 737–743. 3 indexed citations
16.
Chen, Kaiming, Dong Li, Hongwen Li, et al.. (2017). Genetic analysis of heterogeneous sub-clones in recombinant Chinese hamster ovary cells. Applied Microbiology and Biotechnology. 101(14). 5785–5797. 11 indexed citations
17.
Li, Dong, et al.. (2016). FK228 augmented temozolomide sensitivity in human glioma cells by blocking PI3K/AKT/mTOR signal pathways. Biomedicine & Pharmacotherapy. 84. 462–469. 39 indexed citations
18.
Zhou, Shuang, Yang Yang, Yaoqin Yang, et al.. (2013). Combination Therapy of VEGF-Trap and Gemcitabine Results in Improved Anti-Tumor Efficacy in a Mouse Lung Cancer Model. PLoS ONE. 8(7). e68589–e68589. 9 indexed citations
19.
Li, Dong. (2004). Investigation of Residual Chlorine Contents in Hospital Wastewater of Jinan Urban Areas. Journal of environmental health. 1 indexed citations
20.
Li, Dong. (2003). Responses of Putative Purple Acid Phosphatase Genesin Arabidopsis thaliana (AtPAPs) to Phosphorus Starvation.

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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