Yang‐Hsiang Chan

4.9k total citations
67 papers, 4.3k citations indexed

About

Yang‐Hsiang Chan is a scholar working on Materials Chemistry, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Yang‐Hsiang Chan has authored 67 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Materials Chemistry, 29 papers in Biomedical Engineering and 22 papers in Molecular Biology. Recurrent topics in Yang‐Hsiang Chan's work include Luminescence and Fluorescent Materials (35 papers), Advanced biosensing and bioanalysis techniques (19 papers) and Nanoplatforms for cancer theranostics (19 papers). Yang‐Hsiang Chan is often cited by papers focused on Luminescence and Fluorescent Materials (35 papers), Advanced biosensing and bioanalysis techniques (19 papers) and Nanoplatforms for cancer theranostics (19 papers). Yang‐Hsiang Chan collaborates with scholars based in Taiwan, United States and China. Yang‐Hsiang Chan's co-authors include Daniel T. Chiu, Changfeng Wu, Yuhui Jin, Fangmao Ye, Xuanjun Zhang, Chuan-Pin Chen, Shih-Yu Kuo, John A. Osborn, Jixin Chen and I‐Che Wu and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Yang‐Hsiang Chan

64 papers receiving 4.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yang‐Hsiang Chan Taiwan 35 3.0k 1.7k 1.5k 634 600 67 4.3k
Chen Wang China 35 1.7k 0.6× 1.5k 0.9× 783 0.5× 1.1k 1.7× 546 0.9× 138 3.9k
Sivaramapanicker Sreejith Singapore 32 2.6k 0.9× 1.4k 0.8× 972 0.7× 1.3k 2.0× 536 0.9× 87 5.0k
Hao Tang China 36 1.9k 0.7× 1.2k 0.7× 712 0.5× 529 0.8× 880 1.5× 144 3.7k
Enrico Rampazzo Italy 34 2.0k 0.7× 1.2k 0.7× 1.6k 1.1× 563 0.9× 315 0.5× 92 3.8k
Rong Hu China 32 2.2k 0.7× 1.4k 0.9× 636 0.4× 571 0.9× 651 1.1× 94 3.3k
Sara Bonacchi Italy 33 2.0k 0.7× 798 0.5× 865 0.6× 831 1.3× 315 0.5× 68 3.1k
Xuewen He China 36 3.3k 1.1× 1.9k 1.1× 1.5k 1.0× 893 1.4× 742 1.2× 84 4.7k
Conor F. Hogan Australia 38 1.2k 0.4× 1.6k 1.0× 2.6k 1.8× 1.4k 2.2× 616 1.0× 109 4.2k
Kim Truc Nguyen Singapore 30 1.7k 0.6× 1.2k 0.7× 608 0.4× 291 0.5× 1.0k 1.7× 54 3.3k
Ming Da Lee Singapore 34 2.7k 0.9× 1.3k 0.8× 828 0.6× 1.5k 2.4× 643 1.1× 90 4.7k

Countries citing papers authored by Yang‐Hsiang Chan

Since Specialization
Citations

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

Fields of papers citing papers by Yang‐Hsiang Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yang‐Hsiang Chan. 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 Yang‐Hsiang Chan. The network helps show where Yang‐Hsiang Chan may publish in the future.

Co-authorship network of co-authors of Yang‐Hsiang Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Yang‐Hsiang Chan. A scholar is included among the top collaborators of Yang‐Hsiang Chan 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 Yang‐Hsiang Chan. Yang‐Hsiang Chan 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.
Chan, Yang‐Hsiang, et al.. (2024). Recent progress in dual/multi-modal detection modes for improving sensitivity and specificity of lateral flow immunoassays applied for point-of-care diagnostics. TrAC Trends in Analytical Chemistry. 177. 117798–117798. 28 indexed citations
2.
Lee, Yi‐Jang, et al.. (2024). Ultrabright Dibenzofluoran‐Based Polymer Dots with NIR‐IIa Emission Maxima and Unusual Large Stokes Shifts for 3D Rotational Stereo Imaging. Advanced Healthcare Materials. 13(20). e2400606–e2400606. 6 indexed citations
3.
Chen, Yi‐Chen, et al.. (2023). Hybrid polymer dot-magnetic nanoparticle based immunoassay for dual-mode multiplexed detection of two mycotoxins. Chemical Communications. 59(66). 9968–9971. 8 indexed citations
4.
5.
6.
Kashale, Anil A., Weisheng Liao, Chih‐Yu Chang, et al.. (2022). Covalently Interconnected Polymer Dot–WS2 Nanosheet Heterostructure for Visible Light-Driven Hydrogen Production. ACS Applied Nano Materials. 5(2). 2163–2174. 10 indexed citations
7.
Chen, Chao‐Cheng, et al.. (2022). Theranostic Radiolabeled Nanomaterials for Molecular Imaging and potential Immunomodulation Effects. Journal of Medical and Biological Engineering. 42(5). 555–578. 4 indexed citations
8.
Chan, Yang‐Hsiang, et al.. (2022). Recent advances in D–A–D based Pdots with NIR-II fluorescence for deep-tissue imaging. Molecular Systems Design & Engineering. 7(7). 702–719. 17 indexed citations
9.
Li, Yixuan, Chou‐Hsun Yang, Yichen Chen, et al.. (2021). Molecular Design of Ultrabright Semiconducting Polymer Dots with High NIR‐II Fluorescence for 3D Tumor Mapping. Advanced Healthcare Materials. 10(24). e2100993–e2100993. 29 indexed citations
10.
Yang, Yu‐Chi, et al.. (2021). Bimodal Multiplexed Detection of Tumor Markers in Non-Small Cell Lung Cancer with Polymer Dot-Based Immunoassay. ACS Sensors. 6(11). 4255–4264. 37 indexed citations
11.
Gupta, N.M., et al.. (2020). Recent Development in Near-Infrared Photothermal Therapy Based on Semiconducting Polymer Dots. ACS Applied Polymer Materials. 2(10). 4195–4221. 30 indexed citations
12.
Gupta, N.M., et al.. (2020). Near‐Infrared‐II Semiconducting Polymer Dots for Deep‐tissue Fluorescence Imaging. Chemistry - An Asian Journal. 16(3). 175–184. 24 indexed citations
13.
Zhang, Zhe, et al.. (2020). Polymethine‐Based Semiconducting Polymer Dots with Narrow‐Band Emission and Absorption/Emission Maxima at NIR‐II for Bioimaging. Angewandte Chemie International Edition. 60(2). 983–989. 106 indexed citations
14.
Chan, Yang‐Hsiang, et al.. (2019). Colorimetric and Fluorescent Dual-Mode Immunoassay Based on Plasmon-Enhanced Fluorescence of Polymer Dots for Detection of PSA in Whole Blood. ACS Applied Materials & Interfaces. 11(10). 9841–9849. 126 indexed citations
15.
Wang, Yeng‐Tseng & Yang‐Hsiang Chan. (2017). Understanding the molecular basis of agonist/antagonist mechanism of human mu opioid receptor through gaussian accelerated molecular dynamics method. Scientific Reports. 7(1). 7828–7828. 26 indexed citations
16.
Chen, I‐Wen Peter, et al.. (2014). One pot synthesis of graphene quantum disks derived from single-layered exfoliated graphene sheets and their application in bioimaging. RSC Advances. 4(49). 25916–25916. 5 indexed citations
17.
Jin, Yuhui, Fangmao Ye, Changfeng Wu, Yang‐Hsiang Chan, & Daniel T. Chiu. (2012). Generation of functionalized and robust semiconducting polymer dots with polyelectrolytes. Chemical Communications. 48(26). 3161–3161. 42 indexed citations
18.
Chen, Chuan-Pin, et al.. (2012). Photoactivated ratiometric copper(ii) ion sensing with semiconducting polymer dots. Chemical Communications. 49(9). 898–900. 58 indexed citations
19.
Yu, Jiangbo, Changfeng Wu, Xuanjun Zhang, et al.. (2012). Stable Functionalization of Small Semiconducting Polymer Dots via Covalent Cross‐Linking and Their Application for Specific Cellular Imaging. Advanced Materials. 24(26). 3498–3504. 115 indexed citations
20.
Ye, Fangmao, Changfeng Wu, Yuhui Jin, et al.. (2011). A compact and highly fluorescent orange-emitting polymer dot for specific subcellular imaging. Chemical Communications. 48(12). 1778–1778. 103 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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