Jun Dong

8.7k total citations · 1 hit paper
206 papers, 5.3k citations indexed

About

Jun Dong is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Jun Dong has authored 206 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Molecular Biology, 67 papers in Cancer Research and 47 papers in Oncology. Recurrent topics in Jun Dong's work include MicroRNA in disease regulation (38 papers), Glioma Diagnosis and Treatment (30 papers) and Cancer-related molecular mechanisms research (22 papers). Jun Dong is often cited by papers focused on MicroRNA in disease regulation (38 papers), Glioma Diagnosis and Treatment (30 papers) and Cancer-related molecular mechanisms research (22 papers). Jun Dong collaborates with scholars based in China, United States and Canada. Jun Dong's co-authors include Steve Horvath, Qiang Huang, Stanley F. Nelson, Timothy F. Cloughesy, Albert Lai, Linda M. Liau, Paul S. Mischel, Qing Lan, William W. Du and Ling Fang and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Jun Dong

199 papers receiving 5.3k citations

Hit Papers

Geometric Interpretation of Gene Coexpression Network Ana... 2008 2026 2014 2020 2008 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Dong China 34 3.1k 1.7k 812 810 726 206 5.3k
Tim R. Fenton United Kingdom 27 2.7k 0.9× 1.3k 0.7× 774 1.0× 1.2k 1.5× 503 0.7× 51 4.8k
P. Mickey Williams United States 26 3.8k 1.2× 1.7k 1.0× 1.6k 1.9× 1.4k 1.8× 848 1.2× 86 7.0k
Fei Huang China 35 3.2k 1.0× 1.5k 0.9× 977 1.2× 1.7k 2.0× 711 1.0× 190 6.5k
Annalisa Pession Italy 41 3.1k 1.0× 1.2k 0.7× 1.0k 1.3× 912 1.1× 675 0.9× 144 5.8k
Nhan L. Tran United States 46 3.6k 1.2× 1.8k 1.0× 986 1.2× 1.4k 1.7× 616 0.8× 114 6.2k
Tae‐Min Kim South Korea 43 2.6k 0.8× 1.8k 1.0× 387 0.5× 1.4k 1.8× 947 1.3× 166 5.5k
Raffaele Calogero Italy 47 5.5k 1.8× 2.2k 1.3× 952 1.2× 1.2k 1.5× 762 1.0× 183 8.3k
Angelika Eggert Germany 51 5.0k 1.6× 2.2k 1.3× 622 0.8× 1.8k 2.2× 541 0.7× 229 8.1k
Mark A. Watson United States 48 3.4k 1.1× 1.7k 1.0× 433 0.5× 1.9k 2.3× 1.4k 2.0× 129 7.2k
Lynn G. Feun United States 39 2.2k 0.7× 1.1k 0.6× 647 0.8× 1.8k 2.2× 817 1.1× 207 5.7k

Countries citing papers authored by Jun Dong

Since Specialization
Citations

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

Fields of papers citing papers by Jun Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Dong. A scholar is included among the top collaborators of Jun Dong 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 Jun Dong. Jun Dong 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.
Han, Yaobao, Tingting Wang, Hanghang Liu, et al.. (2025). Inhibiting the formation of neutrophil extracellular traps to prevent the recurrence of post-operative glioblastoma. Nature Communications. 16(1). 10971–10971.
2.
Xiang, Yang K., et al.. (2024). ADSCs encapsulated in Gelatin methacrylate substrate promotes the repair of peripheral nerve injury by SIRT6/PGC-1α pathway. Regenerative Therapy. 26. 671–682. 2 indexed citations
3.
Xie, Tao, et al.. (2024). Vitexin enhances radiosensitivity of mouse subcutaneous xenograft glioma by affecting the miR-17-5p/miR-130b-3p/PTEN/HIF-1α pathway. Strahlentherapie und Onkologie. 200(6). 535–543. 2 indexed citations
4.
Jia, Bin, Yuang Wang, Yuxuan Ma, et al.. (2024). DNA Nanostructures Treat Inflammatory Bowel Disease through ROS Scavenging and Gut Microbiota Modulation. Advanced Functional Materials. 34(38). 17 indexed citations
5.
Yuan, Jiaqi, Zhe Cheng, Yongdong Li, et al.. (2024). Hsa_circ_0021205 enhances lipolysis via regulating miR-195-5p/HSL axis and drives malignant progression of glioblastoma. Cell Death Discovery. 10(1). 71–71. 4 indexed citations
6.
Wang, Ding, et al.. (2024). OTULIN's influence on neuroinflammation and pain modulation in trigeminal neuralgia. CNS Neuroscience & Therapeutics. 30(8). e70006–e70006. 4 indexed citations
8.
Yin, Mengyuan, Liang Xiao, Peng Gao, et al.. (2022). Ultrasmall zirconium carbide nanodots for synergistic photothermal-radiotherapy of glioma. Nanoscale. 14(40). 14935–14949. 28 indexed citations
10.
Guo, Gaochao, Yalin Lu, Xun Wen Chen, et al.. (2021). Silencing IKBKE inhibits the migration and invasion of glioblastoma by promoting Snail1 degradation. Clinical & Translational Oncology. 24(5). 816–828. 3 indexed citations
11.
Wu, Zhida, Meiling Zuo, Ling Zeng, et al.. (2020). OMA1 reprograms metabolism under hypoxia to promote colorectal cancer development. EMBO Reports. 22(1). e50827–e50827. 94 indexed citations
13.
Dong, Jun, Zeyu Wu, Dan Wang, et al.. (2018). Hsp70 Binds to the Androgen Receptor N-terminal Domain and Modulates the Receptor Function in Prostate Cancer Cells. Molecular Cancer Therapeutics. 18(1). 39–50. 31 indexed citations
14.
Xi, Xiaodong, et al.. (2018). Clinical outcomes of endoscopic and microsurgical treatments in patients with hypertensive basal ganglia hemorrhage. Chinese Journal of Neuromedicine. 17(3). 301–305. 1 indexed citations
15.
Dong, Jun, et al.. (2018). miR-10a rejuvenates aged human mesenchymal stem cells and improves heart function after myocardial infarction through KLF4. Stem Cell Research & Therapy. 9(1). 151–151. 51 indexed citations
16.
Wang, Haiyan, et al.. (2017). Dysregulated miR-98-5p contributes to excessive apoptosis of nucleus pulposus cells by BMP2 in human intervertebral disc degeneration. Biomedical Research-tokyo. 28(9). 3892–3898. 2 indexed citations
17.
Zhang, Hengzhu, et al.. (2017). Midline Suboccipital Endoscopic Transcerebellomedullary Fissure Keyhole Approach. Journal of Craniofacial Surgery. 28(6). 1603–1606. 2 indexed citations
18.
Liu, Guodong, Jinning Mao, Tao Sun, et al.. (2013). Transferrin-Modified Doxorubicin-Loaded Biodegradable Nanoparticles Exhibit Enhanced Efficacy in Treating Brain Glioma-Bearing Rats. Cancer Biotherapy and Radiopharmaceuticals. 28(9). 691–696. 28 indexed citations
19.
Pope, Whitney B., Jun Dong, Marc Carlson, et al.. (2008). Relationship between Gene Expression and Enhancement in Glioblastoma Multiforme: Exploratory DNA Microarray Analysis. Radiology. 249(1). 268–277. 124 indexed citations
20.
Carlson, Marc, et al.. (2008). Genetically defined EWS/FLI1 model system suggests mesenchymal origin of Ewing's family tumors. Laboratory Investigation. 88(12). 1291–1302. 22 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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