Hsiangkuo Yuan
-
- Gold and Silver Nanoparticles Synthesis and Applications 22
- Neurology top 1%
- Vagus Nerve Stimulation Research 6
- Biophysics top 1%
- Biomedical Engineering top 1%
- Nanoplatforms for cancer theranostics 14
- Biosensors and Analytical Detection 9
- Biomaterials top 2%
- Nanoparticle-Based Drug Delivery 8
-
- Migraine and Headache Studies 35
-
- Trigeminal Neuralgia and Treatments 17
-
- Advanced biosensing and bioanalysis techniques 15
- Co-authors
- Tuan Vo‐DinhStephen D. SilbersteinAndrew M. FalesChristopher G. KhouryGerald A. GrantChristy WilsonYang LiuJanna K. Register
- Journals
- Journal of the American Chemical Society (1 paper)SHILAP Revista de lepidopterología (1 paper)Nano Letters (1 paper)
- Partner nations
- United StatesItalyTaiwan
In The Last Decade
Hsiangkuo Yuan
75 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Electronic, Optical and Magnetic Materials 1.9k
- Neurology 691
- Biophysics 297
- Biomedical Engineering 2.0k
- Biomaterials 565
Countries citing papers authored by Hsiangkuo Yuan
This map shows the geographic impact of Hsiangkuo Yuan'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 Hsiangkuo Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsiangkuo Yuan more than expected).
Fields of papers citing papers by Hsiangkuo Yuan
This network shows the impact of papers produced by Hsiangkuo Yuan. 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 Hsiangkuo Yuan. The network helps show where Hsiangkuo Yuan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hsiangkuo Yuan, 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 | 2025 | 0 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 14 | |
| 8 | 2022 | 26 | |
| 9 | 2022 | 25 | |
| 10 | 2022 | 4 | |
| 11 | 2021 | 5 | |
| 12 | 2019 | 19 | |
| 13 | 2019 | 0 | |
| 14 | 2017 | 47 | |
| 15 | 2013 | 80 | |
| 16 | 2013 | 48 | |
| 17 | Gold nanostars: surfactant-free synthesis, 3D modelling, and two-photon photoluminescence imagingbreakdown → | 2012 | 645 |
| 18 | 2012 | 156 | |
| 19 | 2012 | 7 | |
| 20 | 2006 | 13 |
About Hsiangkuo Yuan
Hsiangkuo Yuan is a scholar working on Psychiatry and Mental health, Neurology and Electronic, Optical and Magnetic Materials, having authored 86 papers that have together received 4.3k indexed citations. Recurring topics across this work include Migraine and Headache Studies (35 papers), Gold and Silver Nanoparticles Synthesis and Applications (22 papers), Trigeminal Neuralgia and Treatments (17 papers), Advanced biosensing and bioanalysis techniques (15 papers), Nanoplatforms for cancer theranostics (14 papers), Biosensors and Analytical Detection (9 papers), Nanoparticle-Based Drug Delivery (8 papers) and Vagus Nerve Stimulation Research (6 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (1.9k citations), Neurology (691 citations) and Biophysics (297 citations). Hsiangkuo Yuan has collaborated with scholars based in United States, Italy and Taiwan. Frequent co-authors include Tuan Vo‐Dinh, Stephen D. Silberstein, Andrew M. Fales, Christopher G. Khoury, Gerald A. Grant, Christy Wilson, Yang Liu, Janna K. Register, Jesse Liu and Hsin‐Neng Wang. Their work appears in journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and Nano Letters.
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.