Kuo‐Chen Wei
Impact in
- Biomaterials top 0.5%
- Nanoparticle-Based Drug Delivery
- Genetics top 0.5%
- Glioma Diagnosis and Treatment
Papers in
-
- Ultrasound and Hyperthermia Applications 44
- Photoacoustic and Ultrasonic Imaging 26
- Nanoplatforms for cancer theranostics 15
- Co-authors
- Hao-Li Liu (44 shared papers)Chiung-Yin Huang (60 shared papers)Pin‐Yuan Chen (56 shared papers)Hung‐Wei Yang (30 shared papers)Tzu‐Chen Yen (11 shared papers)Chih‐Kuang Yeh (16 shared papers)Cheng‐Hong Toh (23 shared papers)Mu‐Yi Hua (11 shared papers)
- Journals
- Journal of Neuro-Oncology (13 papers)Scientific Reports (11 papers)American Journal of Neuroradiology (9 papers)Biomaterials (9 papers)PLoS ONE (8 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Kuo‐Chen Wei
222 papers receiving 8.0k citations
Peers
Comparison fields: 5 of 144
- Biomaterials 1.3k
- Genetics 942
- Biomedical Engineering 3.8k
- Radiology, Nuclear Medicine and Imaging 1.2k
- Neurology 567
Countries citing papers authored by Kuo‐Chen Wei
This map shows the geographic impact of Kuo‐Chen Wei'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 Kuo‐Chen Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuo‐Chen Wei more than expected).
Fields of papers citing papers by Kuo‐Chen Wei
This network shows the impact of papers produced by Kuo‐Chen Wei. 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 Kuo‐Chen Wei. The network helps show where Kuo‐Chen Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Kuo‐Chen Wei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 229 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 324 | |
| 2 | 2010 | 320 | |
| 3 | 2011 | 230 | |
| 4 | 2013 | 195 | |
| 5 | 2011 | 191 | |
| 6 | 2007 | 177 | |
| 7 | 2021 | 151 | |
| 8 | 2014 | 138 | |
| 9 | 2010 | 132 | |
| 10 | 2016 | 130 | |
| 11 | 2016 | 129 | |
| 12 | 2019 | 125 | |
| 13 | 2019 | 124 | |
| 14 | 2013 | 121 | |
| 15 | 2012 | 111 | |
| 16 | 2015 | 111 | |
| 17 | 2013 | 110 | |
| 18 | 2008 | 105 | |
| 19 | 2013 | 104 | |
| 20 | 2014 | 99 |
About Kuo‐Chen Wei
Kuo‐Chen Wei is a scholar working on Biomedical Engineering, Molecular Biology, Genetics, Epidemiology and Materials Chemistry, having authored 229 papers that have together received 8.1k indexed citations. Recurring topics across this work include Ultrasound and Hyperthermia Applications (44 papers), Glioma Diagnosis and Treatment (28 papers), Photoacoustic and Ultrasonic Imaging (26 papers), Meningioma and schwannoma management (21 papers), Nanoparticle-Based Drug Delivery (20 papers), Nanoplatforms for cancer theranostics (15 papers), Ultrasound Imaging and Elastography (14 papers) and Pituitary Gland Disorders and Treatments (13 papers). The work is most often cited by research in Biomaterials (1.3k citations), Genetics (942 citations), Biomedical Engineering (3.8k citations), Radiology, Nuclear Medicine and Imaging (1.2k citations) and Neurology (567 citations). Kuo‐Chen Wei has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Hao-Li Liu, Chiung-Yin Huang, Pin‐Yuan Chen, Hung‐Wei Yang, Tzu‐Chen Yen, Chih‐Kuang Yeh, Cheng‐Hong Toh, Mu‐Yi Hua, Ko‐Ting Chen and M. Chen‐Chi. Their work appears in journals such as Journal of Neuro-Oncology, Scientific Reports, American Journal of Neuroradiology, Biomaterials and PLoS ONE.
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.