Dinglan Wu

1.7k total citations
44 papers, 1.1k citations indexed

About

Dinglan Wu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Dinglan Wu has authored 44 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 14 papers in Pulmonary and Respiratory Medicine and 13 papers in Cancer Research. Recurrent topics in Dinglan Wu's work include Prostate Cancer Treatment and Research (12 papers), Estrogen and related hormone effects (7 papers) and Circular RNAs in diseases (6 papers). Dinglan Wu is often cited by papers focused on Prostate Cancer Treatment and Research (12 papers), Estrogen and related hormone effects (7 papers) and Circular RNAs in diseases (6 papers). Dinglan Wu collaborates with scholars based in China, Hong Kong and United States. Dinglan Wu's co-authors include Franky Leung Chan, Shan Yu, Yuliang Wang, Chi‐Fai Ng, Zhu Wang, Chang Zou, Zhenyu Xu, Xiaoqiang Yao, Jiayi Zhou and Zhenyu Xu and has published in prestigious journals such as Cancer Research, Journal of Power Sources and Oncogene.

In The Last Decade

Dinglan Wu

38 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dinglan Wu China 23 636 392 279 235 176 44 1.1k
Weiwei Li China 21 959 1.5× 380 1.0× 218 0.8× 135 0.6× 200 1.1× 72 1.5k
Linda J. Metheny‐Barlow United States 21 755 1.2× 434 1.1× 377 1.4× 410 1.7× 61 0.3× 36 1.5k
Lan Yang China 20 1.0k 1.6× 435 1.1× 270 1.0× 127 0.5× 319 1.8× 57 1.6k
Maria Chiara De Santis Italy 14 1.0k 1.6× 333 0.8× 287 1.0× 139 0.6× 118 0.7× 18 1.6k
Amelia A. Peters Australia 17 656 1.0× 237 0.6× 302 1.1× 203 0.9× 291 1.7× 32 1.4k
Toshiyuki Tsunoda Japan 23 843 1.3× 333 0.8× 328 1.2× 160 0.7× 88 0.5× 77 1.3k
Carmela Ciccarelli Italy 20 941 1.5× 383 1.0× 245 0.9× 154 0.7× 77 0.4× 29 1.4k
Kyung Chan Park South Korea 19 995 1.6× 476 1.2× 201 0.7× 120 0.5× 95 0.5× 34 1.4k
Yanyang Tu China 26 1.2k 1.9× 749 1.9× 288 1.0× 130 0.6× 75 0.4× 71 1.7k

Countries citing papers authored by Dinglan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Dinglan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dinglan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Dinglan Wu. A scholar is included among the top collaborators of Dinglan Wu 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 Dinglan Wu. Dinglan Wu 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.
Wu, Dinglan, et al.. (2025). Chemo‐optogenetic Dimerization Dissects Complex Biological Processes. Small Methods. 9(7). e2401271–e2401271.
2.
Ho, Vincy Wing Sze, Kang Liu, Hongwei Wu, et al.. (2025). Patient‐Derived Bladder Cancer Organoids as a Valuable Tool for Understanding Tumor Biology and Developing Personalized Treatment. Advanced Science. 12(13). e2414558–e2414558. 1 indexed citations
3.
Zhang, Haozhe, Jeremy Yuen‐Chun Teoh, Chi‐Fai Ng, et al.. (2025). Microproteins: novel multi-functional regulators in health and disease. 1(3). 9610036–9610036.
4.
5.
Fan, Jiaqi, Youjia Li, Chi‐Fai Ng, et al.. (2024). Nuclear receptor TLX functions to promote cancer stemness and EMT in prostate cancer via its direct transactivation of CD44 and stem cell-regulatory transcription factors. British Journal of Cancer. 131(9). 1450–1462. 3 indexed citations
6.
Li, Yue, et al.. (2024). Current status and future directions of nanovaccine for cancer: a bibliometric analysis during 2004-2023. Frontiers in Immunology. 15. 1423212–1423212. 4 indexed citations
7.
Xu, Lele, Yuting Chen, Jiaqi Fan, et al.. (2024). DNA damage-mediated FTO downregulation promotes CRPC progression by inhibiting FOXO3a via an m6A-dependent mechanism. iScience. 27(8). 110505–110505. 4 indexed citations
8.
Liu, Pengyu, Wenxuan Wang, Fei Wang, et al.. (2023). Alterations of plasma exosomal proteins and motabolies are associated with the progression of castration-resistant prostate cancer. Journal of Translational Medicine. 21(1). 40–40. 32 indexed citations
9.
Liu, Zhuohao, Jiayi Zhou, Xinzhi Yang, et al.. (2023). Safety and antitumor activity of GD2-Specific 4SCAR-T cells in patients with glioblastoma. Molecular Cancer. 22(1). 3–3. 84 indexed citations
10.
Wu, Dinglan, et al.. (2022). Identification of the Key Genes Involved in the Tumorigenesis and Prognosis of Prostate Cancer. Computational and Mathematical Methods in Medicine. 2022. 1–17.
11.
Yu, Yu‐Zhong, Daojun Lv, Chong Wang, et al.. (2022). Hsa_circ_0003258 promotes prostate cancer metastasis by complexing with IGF2BP3 and sponging miR-653-5p. Molecular Cancer. 21(1). 12–12. 108 indexed citations
12.
Wang, Yuliang, Shan Yu, Zhu Wang, et al.. (2022). Endothelial nitric oxide synthase (eNOS)-NO signaling axis functions to promote the growth of prostate cancer stem-like cells. Stem Cell Research & Therapy. 13(1). 188–188. 15 indexed citations
13.
Wang, Zhu, Youjia Li, Yuliang Wang, et al.. (2020). Targeting prostate cancer stem-like cells by an immunotherapeutic platform based on immunogenic peptide-sensitized dendritic cells-cytokine-induced killer cells. Stem Cell Research & Therapy. 11(1). 123–123. 16 indexed citations
14.
Wu, Dinglan, Zhu Wang, Yi Shang, et al.. (2019). In Vitro and In Vivo Antitumor Activity of Cucurbitacin C, a Novel Natural Product From Cucumber. Frontiers in Pharmacology. 10. 1287–1287. 33 indexed citations
15.
Wang, Fei, Dinglan Wu, Jianxiang Chen, et al.. (2019). miR-182-5p affects human bladder cancer cell proliferation, migration and invasion through regulating Cofilin 1. Cancer Cell International. 19(1). 42–42. 39 indexed citations
16.
Wang, Yuliang, Kexin Xu, Hao Hu, et al.. (2018). Nuclear Receptor LRH-1 Functions to Promote Castration-Resistant Growth of Prostate Cancer via Its Promotion of Intratumoral Androgen Biosynthesis. Cancer Research. 78(9). 2205–2218. 38 indexed citations
17.
Li, Xiaojuan, Jun Li, Yi Cai, et al.. (2018). Hyperglycaemia-induced miR-301a promotes cell proliferation by repressing p21 and Smad4 in prostate cancer. Cancer Letters. 418. 211–220. 40 indexed citations
18.
Wang, Fei, et al.. (2018). Long non-coding RNA HOXA-AS2 promotes the migration, invasion and stemness of bladder cancer via regulating miR-125b/Smad2 axis. Experimental Cell Research. 375(1). 1–10. 47 indexed citations
19.
Hu, Danping, et al.. (2005). Production of Matrix Metalloproteinases–2 and –9 by Cultured Uveal Melanocytes. Investigative Ophthalmology & Visual Science. 46(13). 3349–3349. 1 indexed citations
20.
Folberg, Robert, et al.. (2002). Control of Uveal Melanoma Morphogenesis and Endothelial Cell Survival by Extracellular Matrix. Investigative Ophthalmology & Visual Science. 43(13). 1827–1827. 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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