Dake Chu

2.7k total citations · 2 hit papers
69 papers, 2.2k citations indexed

About

Dake Chu is a scholar working on Molecular Biology, Cancer Research and Materials Chemistry. According to data from OpenAlex, Dake Chu has authored 69 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 15 papers in Cancer Research and 15 papers in Materials Chemistry. Recurrent topics in Dake Chu's work include Luminescence and Fluorescent Materials (11 papers), Mechanisms of cancer metastasis (11 papers) and Cancer-related molecular mechanisms research (7 papers). Dake Chu is often cited by papers focused on Luminescence and Fluorescent Materials (11 papers), Mechanisms of cancer metastasis (11 papers) and Cancer-related molecular mechanisms research (7 papers). Dake Chu collaborates with scholars based in China, United States and Japan. Dake Chu's co-authors include Weizhong Wang, Gang Ji, Yunming Li, Jianyong Zheng, Baolin Guo, Qingchuan Zhao, Zixi Zhang, Jipeng Li, Shaojun Zhu and Gang He and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and ACS Nano.

In The Last Decade

Dake Chu

67 papers receiving 2.2k citations

Hit Papers

Injectable Self-Healing A... 2021 2026 2022 2024 2021 2023 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Dake Chu 915 461 340 308 285 69 2.2k
Jiandong Wang 1.3k 1.5× 670 1.5× 553 1.6× 233 0.8× 471 1.7× 139 3.3k
Ran Tian 1.0k 1.1× 270 0.6× 320 0.9× 384 1.2× 151 0.5× 40 1.9k
Qida Hu 1.1k 1.2× 457 1.0× 448 1.3× 593 1.9× 231 0.8× 55 2.4k
Houría Boulaiz 928 1.0× 219 0.5× 332 1.0× 383 1.2× 220 0.8× 84 2.0k
Bertrand Czarny 1.4k 1.5× 661 1.4× 460 1.4× 256 0.8× 321 1.1× 62 2.5k
Jin Yan 1.1k 1.2× 281 0.6× 494 1.5× 444 1.4× 294 1.0× 87 2.1k
Deepak Chitkara 1.4k 1.5× 519 1.1× 309 0.9× 755 2.5× 145 0.5× 87 2.7k
Sanjun Shi 1.2k 1.3× 274 0.6× 346 1.0× 768 2.5× 508 1.8× 66 2.9k
Ruiwu Liu 2.3k 2.5× 236 0.5× 627 1.8× 419 1.4× 147 0.5× 111 3.8k

Countries citing papers authored by Dake Chu

Since Specialization
Citations

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

Fields of papers citing papers by Dake Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dake Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Dake Chu. A scholar is included among the top collaborators of Dake Chu 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 Dake Chu. Dake Chu 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
2.
Li, Rongrong, Haixin Zhang, Yali Hou, et al.. (2025). Metallacage-crosslinked free-standing supramolecular networks via photo-induced copolymerization for photocatalytic water decontamination. Nature Communications. 16(1). 2733–2733. 12 indexed citations
3.
Zhao, Xin, Jinlong Luo, Ying Huang, et al.. (2024). High-strength antiswelling adhesive achieves both hemostasis and wound healing. Journal of Pharmaceutical Analysis. 14(6). 100955–100955. 2 indexed citations
4.
Yang, Li, et al.. (2024). Comparative transcriptome analysis and HPLC reveal candidate genes associated with synthesis of bioactive constituents in Rheum palmatum complex. Physiology and Molecular Biology of Plants. 30(8). 1239–1252. 1 indexed citations
5.
Yan, Xueli, Jing Yu, Kaixiang Shen, et al.. (2024). pH-responsive bioadhesive with robust and stable wet adhesion for gastric ulcer healing. Biomaterials. 309. 122599–122599. 17 indexed citations
6.
Li, Rongrong, Tianfeng Yang, Feng Qian, et al.. (2024). Enhancing the Photosensitivity of Hypocrellin A by Perylene Diimide Metallacage-Based Host–Guest Complexation for Photodynamic Therapy. Nano-Micro Letters. 16(1). 226–226. 15 indexed citations
7.
Zhao, Xin, Jinlong Luo, Ying Huang, et al.. (2023). Injectable Antiswelling and High-Strength Bioactive Hydrogels with a Wet Adhesion and Rapid Gelling Process to Promote Sutureless Wound Closure and Scar-free Repair of Infectious Wounds. ACS Nano. 17(21). 22015–22034. 139 indexed citations breakdown →
8.
Zhang, Zixi, Yan Lu, Min Jiao, et al.. (2022). The prognostic impact of BMI on colorectal cancer is stratified by tumor location. Frontiers in Oncology. 12. 987518–987518.
9.
Zhang, Juan, et al.. (2021). EGFL7 as a novel therapeutic candidate regulates cell invasion and anoikis in colorectal cancer through PI3K/AKT signaling pathway. International Journal of Clinical Oncology. 26(6). 1099–1108. 8 indexed citations
10.
Ren, Fenggang, Qingshan Li, Liangshuo Hu, et al.. (2019). Safety and efficacy of magnetic anchoring electrode-assisted irreversible electroporation for gastric tissue ablation. Surgical Endoscopy. 34(2). 580–589. 10 indexed citations
11.
Zhang, Zixi, Jingyi Yang, Xin Bu, et al.. (2019). The Novel Notch-induced Long Noncoding RNA LUNAR1 Determines the Proliferation and Prognosis of Colorectal Cancer. Scientific Reports. 9(1). 19915–19915. 18 indexed citations
12.
Chen, Wenping, Yi Zhou, Xiaohua Li, et al.. (2015). Expression and value of Formin 2 protein in colorectal cancer. Zhōnghuá xiāohuà wàikē zázhì/Zhonghua xiaohua waike zazhi. 14(4). 335–338. 1 indexed citations
13.
Chu, Dake, et al.. (2013). MicroRNA-650 expression in glioma is associated with prognosis of patients. Journal of Neuro-Oncology. 115(3). 375–380. 31 indexed citations
14.
He, Liang, Dake Chu, Xia Li, et al.. (2013). Matrix Metalloproteinase-14 Is a Negative Prognostic Marker for Patients with Gastric Cancer. Digestive Diseases and Sciences. 58(5). 1264–1270. 29 indexed citations
15.
Zheng, Jianyong, Dake Chu, Desheng Wang, et al.. (2012). Matrix metalloproteinase‐12 is associated with overall survival in Chinese patients with gastric cancer. Journal of Surgical Oncology. 107(7). 746–751. 23 indexed citations
16.
Chu, Dake, Yi Zhou, Zixi Zhang, et al.. (2011). Notch1 Expression, Which Is Related to p65 Status, Is an Independent Predictor of Prognosis in Colorectal Cancer. Clinical Cancer Research. 17(17). 5686–5694. 28 indexed citations
17.
Chu, Dake, Yi Zhou, Wenchen Wang, et al.. (2011). Notch1 and Notch2 have opposite prognostic effects on patients with colorectal cancer. Annals of Oncology. 22(11). 2440–2447. 75 indexed citations
18.
Li, Wei, et al.. (2011). Decreased expression of NDRG2 is related to poor overall survival in patients with glioma. Journal of Clinical Neuroscience. 18(11). 1534–1537. 24 indexed citations
19.
Chu, Dake, Jianyong Zheng, Weizhong Wang, et al.. (2009). Notch2 Expression Is Decreased in Colorectal Cancer and Related to Tumor Differentiation Status. Annals of Surgical Oncology. 16(12). 3259–3266. 31 indexed citations
20.
Chu, Dake, et al.. (2009). Decreased expression of NDRG1 in glioma is related to tumor progression and survival of patients. Journal of Neuro-Oncology. 94(2). 213–219. 56 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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