Jun Qian

14.6k total citations · 5 hit papers
270 papers, 11.9k citations indexed

About

Jun Qian is a scholar working on Biomedical Engineering, Materials Chemistry and Molecular Biology. According to data from OpenAlex, Jun Qian has authored 270 papers receiving a total of 11.9k indexed citations (citations by other indexed papers that have themselves been cited), including 172 papers in Biomedical Engineering, 125 papers in Materials Chemistry and 42 papers in Molecular Biology. Recurrent topics in Jun Qian's work include Nanoplatforms for cancer theranostics (120 papers), Luminescence and Fluorescent Materials (81 papers) and Photoacoustic and Ultrasonic Imaging (44 papers). Jun Qian is often cited by papers focused on Nanoplatforms for cancer theranostics (120 papers), Luminescence and Fluorescent Materials (81 papers) and Photoacoustic and Ultrasonic Imaging (44 papers). Jun Qian collaborates with scholars based in China, Hong Kong and United States. Jun Qian's co-authors include Ben Zhong Tang, Sailing He, Dan Wang, Jacky W. Y. Lam, Xi Wang, Ryan T. K. Kwok, Qiuqiang Zhan, Hequn Zhang, Fuhong Cai and Yalun Wang and has published in prestigious journals such as Journal of the American Chemical Society, Physical Review Letters and Advanced Materials.

In The Last Decade

Jun Qian

257 papers receiving 11.6k citations

Hit Papers

AIE Luminogens for Bioimaging and Theranostics: From... 2011 2026 2016 2021 2017 2011 2018 2020 2021 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Qian China 61 7.1k 7.0k 2.3k 1.9k 1.3k 270 11.9k
Changfeng Wu China 61 6.0k 0.8× 9.2k 1.3× 3.3k 1.4× 2.4k 1.3× 793 0.6× 236 13.6k
Alexander L. Antaris United States 39 11.2k 1.6× 9.3k 1.3× 2.4k 1.0× 1.5k 0.8× 801 0.6× 53 14.8k
Dayong Jin China 68 8.1k 1.1× 12.2k 1.7× 3.6k 1.6× 4.8k 2.6× 1.3k 1.0× 415 21.0k
Tymish Y. Ohulchanskyy United States 52 6.2k 0.9× 9.6k 1.4× 1.8k 0.8× 2.5k 1.3× 1.0k 0.8× 156 13.4k
Samuel Achilefu United States 65 6.4k 0.9× 4.3k 0.6× 4.0k 1.8× 943 0.5× 914 0.7× 337 14.8k
Zhen Xu China 41 7.1k 1.0× 5.5k 0.8× 2.0k 0.9× 1.6k 0.9× 628 0.5× 106 10.5k
Junle Qu China 70 9.9k 1.4× 10.1k 1.4× 4.6k 2.0× 5.6k 3.0× 1.6k 1.3× 755 22.4k
Qiangbin Wang China 65 6.8k 1.0× 8.6k 1.2× 3.5k 1.5× 3.5k 1.9× 2.5k 1.9× 208 15.0k
Ewa M. Goldys Australia 51 3.4k 0.5× 5.3k 0.8× 2.2k 1.0× 2.7k 1.5× 1.3k 1.0× 336 10.4k

Countries citing papers authored by Jun Qian

Since Specialization
Citations

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

Fields of papers citing papers by Jun Qian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Qian

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Qian. A scholar is included among the top collaborators of Jun Qian 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 Qian. Jun Qian 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.
Huang, Yingjuan, et al.. (2025). Dual network ionized hydrogels with high electrical conductivity and strong mechanical properties for wearable drug delivery patches. Materials Today Communications. 43. 111743–111743. 1 indexed citations
2.
Wang, Yanfen, Bolin Wu, Qiqi Yu, et al.. (2025). Boron–Oxygen Chelation‐Enabled Aza‐BODIPY J ‐Aggregates: NIR‐II Imaging and Photothermal Therapy for Single‐Dose Tumor Ablation. Small. 21(35). e2504607–e2504607. 4 indexed citations
3.
Fan, Xiaoxiao, Xiaolong Liu, Guoqiao Chen, et al.. (2025). Advanced Image‐Guidance and Surgical‐Navigation Techniques for Real‐Time Visualized Surgery. Advanced Science. 12(41). e09294–e09294. 1 indexed citations
4.
Zhang, Liang, Xinwen Ou, Wenlang Li, et al.. (2025). Boosting the Brightness of Covalent Organic Frameworks by Integration of Dual-Docking Luminogens with Aggregation-Induced Emission Effect. Journal of the American Chemical Society. 147(43). 39999–40009. 1 indexed citations
5.
Wu, Tianxiang, et al.. (2025). High-contrast in vivo fluorescence imaging exploiting wavelengths beyond 1880 nm. Nature Communications. 16(1). 4436–4436. 1 indexed citations
6.
8.
Zhang, Guiquan, Jiayi Li, Zeyan Zhuang, et al.. (2024). Near-Infrared II Agent with Excellent Overall Performance for Imaging-Guided Photothermal Thrombolysis. ACS Nano. 18(36). 25144–25154. 26 indexed citations
9.
Tao, Yuan, Qiming Xia, Zhi-Qiang Wang, et al.. (2024). Promoting the Near-Infrared-II Fluorescence of Diketopyrrolopyrrole-Based Dye for In Vivo Imaging via Donor Engineering. ACS Applied Materials & Interfaces. 16(4). 4478–4492. 18 indexed citations
10.
Wu, Tianxiang, Runze Chen, Liang Zhu, et al.. (2023). Self-confocal NIR-II fluorescence microscopy for multifunctional in vivo imaging. Journal of Innovative Optical Health Sciences. 17(1). 6 indexed citations
12.
Xu, Guoqing, et al.. (2022). A Network Traffic Prediction Algorithm Based on Prophet-EALSTM-GPR. 4(2). 113–125.
13.
Chen, Yuanlei, Zeyi Lu, Chao Qi, et al.. (2022). N6-methyladenosine-modified TRAF1 promotes sunitinib resistance by regulating apoptosis and angiogenesis in a METTL14-dependent manner in renal cell carcinoma. Molecular Cancer. 21(1). 111–111. 78 indexed citations
14.
Zheng, Zheng, Hequn Zhang, Hui Cao, et al.. (2022). Intra- and Intermolecular Synergistic Engineering of Aggregation-Induced Emission Luminogens to Boost Three-Photon Absorption for Through-Skull Brain Imaging. ACS Nano. 16(4). 6444–6454. 38 indexed citations
15.
Xia, Qiming, Yiyin Zhang, Yiling Li, et al.. (2022). A historical review of aggregation‐induced emission from 2001 to 2020: A bibliometric analysis. SHILAP Revista de lepidopterología. 3(1). 65 indexed citations
16.
Li, Dongyu, Hequn Zhang, Lina L. Streich, et al.. (2021). AIE-nanoparticle assisted ultra-deep three-photon microscopy in the in vivo mouse brain under 1300 nm excitation. Materials Chemistry Frontiers. 5(7). 3201–3208. 22 indexed citations
17.
Fan, Xiaoxiao, Yirun Li, Zhe Feng, et al.. (2021). Nanoprobes‐Assisted Multichannel NIR‐II Fluorescence Imaging‐Guided Resection and Photothermal Ablation of Lymph Nodes. Advanced Science. 8(9). 2003972–2003972. 71 indexed citations
18.
Liu, Shunjie, Runze Chen, Jianquan Zhang, et al.. (2020). Incorporation of Planar Blocks into Twisted Skeletons: Boosting Brightness of Fluorophores for Bioimaging beyond 1500 Nanometer. ACS Nano. 14(10). 14228–14239. 108 indexed citations
19.
Li, Dongyu, Zheng Zheng, Tingting Yu, et al.. (2020). Visible‐near infrared‐II skull optical clearing window for in vivo cortical vasculature imaging and targeted manipulation. Journal of Biophotonics. 13(10). e202000142–e202000142. 20 indexed citations
20.
Alifu, Nuernisha, Abudureheman Zebibula, Ji Qi, et al.. (2018). Single-Molecular Near-Infrared-II Theranostic Systems: Ultrastable Aggregation-Induced Emission Nanoparticles for Long-Term Tracing and Efficient Photothermal Therapy. ACS Nano. 12(11). 11282–11293. 214 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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