Dong Zhan

420 total citations
19 papers, 338 citations indexed

About

Dong Zhan is a scholar working on Molecular Biology, Rheumatology and Immunology. According to data from OpenAlex, Dong Zhan has authored 19 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Rheumatology and 6 papers in Immunology. Recurrent topics in Dong Zhan's work include Osteoarthritis Treatment and Mechanisms (5 papers), interferon and immune responses (2 papers) and Extracellular vesicles in disease (2 papers). Dong Zhan is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (5 papers), interferon and immune responses (2 papers) and Extracellular vesicles in disease (2 papers). Dong Zhan collaborates with scholars based in China, Thailand and United Kingdom. Dong Zhan's co-authors include Sittisak Honsawek, Jun Sun, Yi Zong, Ying He, Lin Sun, Yuanli Chen, Bin Liu, Jing Liu, Di Lü and Aree Tanavalee and has published in prestigious journals such as PLoS ONE, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Dong Zhan

18 papers receiving 336 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dong Zhan China 10 142 66 46 45 41 19 338
Enhui Ren China 7 186 1.3× 35 0.5× 42 0.9× 52 1.2× 40 1.0× 14 423
Jiesheng Gao China 11 137 1.0× 151 2.3× 78 1.7× 50 1.1× 31 0.8× 21 407
Zhonggai Chen China 9 155 1.1× 136 2.1× 34 0.7× 47 1.0× 24 0.6× 9 357
Renlei Yang China 10 275 1.9× 29 0.4× 16 0.3× 65 1.4× 98 2.4× 11 481
Hanzhao Zhu China 11 184 1.3× 19 0.3× 103 2.2× 54 1.2× 55 1.3× 16 475
Jianyu Zhu China 10 88 0.6× 28 0.4× 47 1.0× 78 1.7× 55 1.3× 21 354
Shengyu Cui China 13 261 1.8× 33 0.5× 39 0.8× 44 1.0× 19 0.5× 31 407
Tomoki Ikuta Japan 11 122 0.9× 31 0.5× 29 0.6× 12 0.3× 47 1.1× 18 438
Linwei Chen China 13 170 1.2× 167 2.5× 155 3.4× 28 0.6× 43 1.0× 19 583

Countries citing papers authored by Dong Zhan

Since Specialization
Citations

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

Fields of papers citing papers by Dong Zhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dong Zhan

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

All Works

19 of 19 papers shown
1.
Luo, Ying, Dong Zhan, Lei Wang, et al.. (2025). Design and function analysis of novel antimicrobial peptides derived from Cathelicidin-DM: Insights into structure-function relationships. European Journal of Medicinal Chemistry. 300. 118173–118173.
2.
Yang, Cuicui, et al.. (2024). The senolytic agent ABT263 ameliorates osteoporosis caused by active vitamin D insufficiency through selective clearance of senescent skeletal cells. Journal of Orthopaedic Translation. 49. 107–118. 4 indexed citations
3.
Sun, Yunyan, Jinyan Liu, Dong Zhan, et al.. (2024). Depletion of Tregs from CD4+CAR‐T cells enhances the tumoricidal effect of CD8+CAR‐T cells in anti‐CD19 CAR‐T therapy. FEBS Journal. 292(8). 1904–1919. 2 indexed citations
4.
Zhan, Dong, et al.. (2024). Treg-derived TGF-β1 dampens cGAS-STING signaling to downregulate the expression of class I MHC complex in multiple myeloma. Scientific Reports. 14(1). 11593–11593. 10 indexed citations
5.
Shen, Ching‐Hui, Bin Gu, Man Tang, et al.. (2024). Biomarkers Identification of Early Rheumatoid Arthritis via Bioinformatics Approach and Experimental Verification.. PubMed. 54(5). 661–670. 2 indexed citations
6.
Ding, Chunjin, et al.. (2021). Pseudogene HSPA7 is a poor prognostic biomarker in Kidney Renal Clear Cell Carcinoma (KIRC) and correlated with immune infiltrates. Cancer Cell International. 21(1). 435–435. 6 indexed citations
7.
Wu, Xuan, et al.. (2021). The mechanism of pyrroloquinoline quinone influencing the fracture healing process of estrogen-deficient mice by inhibiting oxidative stress. Biomedicine & Pharmacotherapy. 139. 111598–111598. 4 indexed citations
8.
Zhan, Dong, Andrew Cross, Helen L. Wright, et al.. (2021). Internalization of Neutrophil-Derived Microvesicles Modulates TNFα-Stimulated Proinflammatory Cytokine Production in Human Fibroblast-Like Synoviocytes. International Journal of Molecular Sciences. 22(14). 7409–7409. 20 indexed citations
9.
Wu, Xuan, et al.. (2020). CoQ10 suppression of oxidative stress and cell senescence increases bone mass in orchiectomized mice.. American Journal of Translational Research. 12(4). 3923–3923. 6 indexed citations
10.
Zhan, Dong, Aree Tanavalee, Saran Tantavisut, et al.. (2019). Relationships between blood leukocyte mitochondrial DNA copy number and inflammatory cytokines in knee osteoarthritis. Journal of Zhejiang University SCIENCE B. 21(1). 42–52. 15 indexed citations
11.
Zhan, Dong, et al.. (2018). Isolation of Microvesicles from Human Circulating Neutrophils. BIO-PROTOCOL. 11(19). e3119–e3119. 2 indexed citations
12.
Zhan, Dong, et al.. (2017). Association of adiponectin gene polymorphisms with knee osteoarthritis. World Journal of Orthopedics. 8(9). 719–719. 10 indexed citations
13.
Udomsinprasert, Wanvisa, Yong Poovorawan, Voranush Chongsrisawat, et al.. (2015). Telomere Length in Peripheral Blood Leukocytes Is Associated with Severity of Biliary Atresia. PLoS ONE. 10(7). e0134689–e0134689. 17 indexed citations
14.
Zhu, Min, Jing Zhang, Dong Zhan, et al.. (2015). The p27 Pathway Modulates the Regulation of Skeletal Growth and Osteoblastic Bone Formation by Parathyroid Hormone–Related Peptide. Journal of Bone and Mineral Research. 30(11). 1969–1979. 17 indexed citations
15.
Zhan, Dong, Pongsak Yuktanandana, Wilai Anomasiri, Aree Tanavalee, & Sittisak Honsawek. (2014). Association of adiponectin +276G/T polymorphism with knee osteoarthritis. Biomedical Reports. 2(2). 229–232. 8 indexed citations
16.
Mabey, Thomas, et al.. (2014). Plasma and synovial fluid sclerostin are inversely associated with radiographic severity of knee osteoarthritis. Clinical Biochemistry. 47(7-8). 547–551. 23 indexed citations
17.
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
18.
Zong, Yi, Lin Sun, Bin Liu, et al.. (2012). Resveratrol Inhibits LPS-Induced MAPKs Activation via Activation of the Phosphatidylinositol 3-Kinase Pathway in Murine RAW 264.7 Macrophage Cells. PLoS ONE. 7(8). e44107–e44107. 142 indexed citations
19.
Wang, Xiaojun, et al.. (2007). Transforming growth factor-β1 enhanced vascular endothelial growth factor synthesis in mesenchymal stem cells. Biochemical and Biophysical Research Communications. 365(3). 548–554. 33 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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