Ming‐Hsien Chan
Impact in
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
- Materials Chemistry top 5%
- Luminescence Properties of Advanced Materials
- Luminescence and Fluorescent Materials
- Advanced Nanomaterials in Catalysis
- Carbon and Quantum Dots Applications
Papers in
- Biomaterials 11
- Nanoparticle-Based Drug Delivery 10
-
- Nanoplatforms for cancer theranostics 21
- Ultrasound and Hyperthermia Applications 7
- Photoacoustic and Ultrasonic Imaging 7
- Co-authors
- Michael HsiaoRu‐Shi LiuYu‐Chan ChangChien‐Hsiu LiHsiu‐Mei LinWen‐Tse HuangYung‐Chieh ChanXueyuan Chen
- Journals
- Nanoscale (4 papers)Pharmaceutics (4 papers)Biomedicines (3 papers)The FASEB Journal (3 papers)Cell Death Discovery (2 papers)
- Partner nations
- TaiwanChinaUnited Kingdom
In The Last Decade
Ming‐Hsien Chan
61 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 114
- Biomaterials 277
- Materials Chemistry 852
- Biomedical Engineering 750
- Renewable Energy, Sustainability and the Environment 142
- Cancer Research 131
Countries citing papers authored by Ming‐Hsien Chan
This map shows the geographic impact of Ming‐Hsien 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 Ming‐Hsien Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming‐Hsien Chan more than expected).
Fields of papers citing papers by Ming‐Hsien Chan
This network shows the impact of papers produced by Ming‐Hsien 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 Ming‐Hsien Chan. The network helps show where Ming‐Hsien Chan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ming‐Hsien Chan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 19 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 7 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 36 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 43 | |
| 9 | 2023 | 11 | |
| 10 | 2023 | 40 | |
| 11 | 2022 | 6 | |
| 12 | 2022 | 8 | |
| 13 | 2022 | 7 | |
| 14 | 2021 | 29 | |
| 15 | 2021 | 15 | |
| 16 | 2020 | 45 | |
| 17 | 2019 | 17 | |
| 18 | 2018 | 72 | |
| 19 | 2016 | 45 | |
| 20 | 2013 | 31 |
About Ming‐Hsien Chan
Ming‐Hsien Chan is a scholar working on Biomaterials, Biomedical Engineering, Cancer Research, Materials Chemistry and Immunology and Allergy, having authored 62 papers that have together received 1.6k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (21 papers), Nanoparticle-Based Drug Delivery (10 papers), Luminescence Properties of Advanced Materials (7 papers), Ultrasound and Hyperthermia Applications (7 papers), Photoacoustic and Ultrasonic Imaging (7 papers), Advanced Nanomaterials in Catalysis (6 papers), Carbon and Quantum Dots Applications (6 papers) and Luminescence and Fluorescent Materials (6 papers). The work is most often cited by research in Biomaterials (277 citations), Materials Chemistry (852 citations), Biomedical Engineering (750 citations), Renewable Energy, Sustainability and the Environment (142 citations) and Cancer Research (131 citations). Ming‐Hsien Chan has collaborated with scholars based in Taiwan, China and United Kingdom. Frequent co-authors include Michael Hsiao, Ru‐Shi Liu, Yu‐Chan Chang, Chien‐Hsiu Li, Hsiu‐Mei Lin, Wen‐Tse Huang, Yung‐Chieh Chan, Xueyuan Chen, I‐Jung Lee and Ling‐Dong Sun. Their work appears in journals such as Nanoscale, Pharmaceutics, Biomedicines, The FASEB Journal and Cell Death Discovery.
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.