Dan Ding

36.3k total citations · 16 hit papers
485 papers, 27.2k citations indexed

About

Dan Ding is a scholar working on Biomedical Engineering, Materials Chemistry and Molecular Biology. According to data from OpenAlex, Dan Ding has authored 485 papers receiving a total of 27.2k indexed citations (citations by other indexed papers that have themselves been cited), including 237 papers in Biomedical Engineering, 177 papers in Materials Chemistry and 133 papers in Molecular Biology. Recurrent topics in Dan Ding's work include Nanoplatforms for cancer theranostics (218 papers), Luminescence and Fluorescent Materials (146 papers) and Advanced biosensing and bioanalysis techniques (58 papers). Dan Ding is often cited by papers focused on Nanoplatforms for cancer theranostics (218 papers), Luminescence and Fluorescent Materials (146 papers) and Advanced biosensing and bioanalysis techniques (58 papers). Dan Ding collaborates with scholars based in China, United States and Singapore. Dan Ding's co-authors include Ben Zhong Tang, Bin Liu, Kai Li, Chao Chen, Guangxue Feng, Jacky W. Y. Lam, Heqi Gao, Hanlin Ou, Ryan T. K. Kwok and Kanyi Pu and has published in prestigious journals such as Journal of the American Chemical Society, Chemical Society Reviews and Advanced Materials.

In The Last Decade

Dan Ding

469 papers receiving 26.9k citations

Hit Papers

Bioprobes Based on AIE Fluorogens 2011 2026 2016 2021 2013 2020 2011 2019 2016 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan Ding China 84 15.2k 14.6k 6.4k 4.5k 3.7k 485 27.2k
Dong Wang China 79 11.7k 0.8× 11.7k 0.8× 4.6k 0.7× 2.5k 0.6× 2.0k 0.5× 506 23.9k
Shu Wang China 80 13.8k 0.9× 10.0k 0.7× 8.2k 1.3× 4.1k 0.9× 2.8k 0.8× 664 27.7k
Jing Lin China 77 10.6k 0.7× 14.6k 1.0× 4.8k 0.8× 1.1k 0.2× 4.7k 1.3× 315 21.7k
Kai Li China 65 8.9k 0.6× 7.4k 0.5× 4.0k 0.6× 2.6k 0.6× 2.4k 0.7× 366 16.0k
Aiguo Wu China 72 10.5k 0.7× 9.6k 0.7× 5.6k 0.9× 962 0.2× 3.8k 1.0× 442 21.1k
Yanli Zhao Singapore 126 34.6k 2.3× 16.4k 1.1× 7.5k 1.2× 5.4k 1.2× 9.9k 2.7× 777 57.6k
Morteza Mahmoudi United States 89 10.7k 0.7× 14.4k 1.0× 9.0k 1.4× 1.1k 0.3× 13.3k 3.6× 336 32.7k
Fan Xia China 80 7.4k 0.5× 12.3k 0.8× 8.7k 1.4× 1.5k 0.3× 2.2k 0.6× 616 24.5k
Jing Liu China 73 8.8k 0.6× 7.4k 0.5× 3.9k 0.6× 1.4k 0.3× 4.3k 1.2× 389 19.3k
Jinsong Ren China 117 34.5k 2.3× 20.8k 1.4× 22.5k 3.5× 2.4k 0.5× 5.6k 1.5× 633 54.3k

Countries citing papers authored by Dan Ding

Since Specialization
Citations

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

Fields of papers citing papers by Dan Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Ding. A scholar is included among the top collaborators of Dan Ding 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 Dan Ding. Dan Ding 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.
Qiu, Lin, et al.. (2024). Research on enzymatic co-assembly nanomedicine in oral squamous cell carcinoma. 1(2). 100008–100008. 1 indexed citations
2.
Dicianno, Brad E., et al.. (2024). Rehabilitation clinicians’ use of mainstream wireless technologies in practice: a scoping review. Disability and Rehabilitation Assistive Technology. 19(8). 2742–2760. 2 indexed citations
3.
Zhang, Xiaoyan, Kefei Wang, Zhiyuan Gao, et al.. (2023). An Aggregation‐Induced Emission Molecule‐Assembled Nanovaccine with Self‐Adjuvanted Function for Cancer Immunotherapy. Advanced Functional Materials. 33(51). 9 indexed citations
4.
Chen, Xiaohong, Liu Wang, Zining Wang, et al.. (2023). A smart TESTER for reliable discrimination of cancer-derived small extracellular vesicles. Analytica Chimica Acta. 1276. 341636–341636. 3 indexed citations
5.
Lee, Michelle M. S., Joe H. C. Chau, Eric Y. Yu, et al.. (2023). Adipocyte-Targeting Type I AIE Photosensitizer for Obesity Treatment via Photodynamic Lipid Peroxidation. ACS Nano. 17(11). 11039–11053. 39 indexed citations
6.
Wang, Lirong, Ji Qi, Ke Zhang, et al.. (2023). Multifunctional nanomicelles constructed via an aggregation and de-aggregation strategy for magnetic resonance/NIR II fluorescence imaging-guided type I photodynamic therapy. Materials Chemistry Frontiers. 7(17). 3657–3667. 8 indexed citations
7.
Xie, Huilin, Jingtian Zhang, Chao Chen, et al.. (2021). Sensitive and specific detection of peroxynitrite and in vivo imaging of inflammation by a “simple” AIE bioprobe. Materials Chemistry Frontiers. 5(4). 1830–1835. 28 indexed citations
8.
Qi, Ji, Xingchen Duan, Yuanjing Cai, et al.. (2020). Simultaneously boosting the conjugation, brightness and solubility of organic fluorophores by using AIEgens. Chemical Science. 11(32). 8438–8447. 33 indexed citations
9.
Ao, Xiang, Wei Ding, Yuan Zhang, Dan Ding, & Ying Liu. (2020). TCF21: a critical transcription factor in health and cancer. Journal of Molecular Medicine. 98(8). 1055–1068. 35 indexed citations
10.
Chen, Chao, Youhong Tang, & Dan Ding. (2020). Intramolecular motion-associated biomaterials for image-guided cancer surgery. SHILAP Revista de lepidopterología. 1. 24–31. 4 indexed citations
11.
Liu, Shunjie, Chao Chen, Yuanyuan Li, et al.. (2019). Constitutional Isomerization Enables Bright NIR‐II AIEgen for Brain‐Inflammation Imaging. Advanced Functional Materials. 30(7). 225 indexed citations
12.
Qi, Ji, Jun Li, Ruihua Liu, et al.. (2019). Boosting Fluorescence-Photoacoustic-Raman Properties in One Fluorophore for Precise Cancer Surgery. Chem. 5(10). 2657–2677. 118 indexed citations
13.
Cooper, Rory A., Yetsa A. Tuakli‐Wosornu, Brad E. Dicianno, et al.. (2018). Engineering and Technology in Wheelchair Sport. Physical Medicine and Rehabilitation Clinics of North America. 29(2). 347–369. 12 indexed citations
14.
Yang, Cuihong, Xiang Ni, Duo Mao, et al.. (2018). Seeing the fate and mechanism of stem cells in treatment of ionizing radiation-induced injury using highly near-infrared emissive AIE dots. Biomaterials. 188. 107–117. 26 indexed citations
15.
Qi, Ji, Chao Chen, Dan Ding, & Ben Zhong Tang. (2018). Aggregation‐Induced Emission Luminogens: Union Is Strength, Gathering Illuminates Healthcare. Advanced Healthcare Materials. 7(20). e1800477–e1800477. 131 indexed citations
16.
Wu, Wenbo, Duo Mao, Fang Hu, et al.. (2017). A Highly Efficient and Photostable Photosensitizer with Near‐Infrared Aggregation‐Induced Emission for Image‐Guided Photodynamic Anticancer Therapy. Advanced Materials. 29(33). 417 indexed citations breakdown →
18.
Dong, Xiaopeng, Di Lu, Dan Ding, et al.. (2017). Controlled ROS production by corannulene: the vehicle makes a difference. Biomaterials Science. 5(7). 1236–1240. 13 indexed citations
19.
Wu, Wenbo, Duo Mao, Shidang Xu, et al.. (2017). High performance photosensitizers with aggregation-induced emission for image-guided photodynamic anticancer therapy. Materials Horizons. 4(6). 1110–1114. 130 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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