Kun‐Ju Lin
Impact in
- Pharmaceutical Science top 0.2%
- Advanced Drug Delivery Systems
- Biomaterials top 0.5%
- Nanoparticle-Based Drug Delivery
Papers in
-
- Advanced Drug Delivery Systems 16
-
- Dementia and Cognitive Impairment Research 32
- Co-authors
- Hsing‐Wen SungTzu‐Chen YenShiaw‐Pyng WeyIng‐Tsung HsiaoEr‐Yuan ChuangKiran SonajeWei‐Tso ChiaM. Chung
- Journals
- Biomaterials (32 papers)Nuclear Medicine and Biology (11 papers)Scientific Reports (8 papers)European Journal of Nuclear Medicine and Molecular Imaging (7 papers)PLoS ONE (6 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Kun‐Ju Lin
233 papers receiving 7.4k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Pharmaceutical Science 1.0k
- Biomaterials 1.3k
- Biological Psychiatry 118
- Neurology 715
- Biomedical Engineering 1.9k
Countries citing papers authored by Kun‐Ju Lin
This map shows the geographic impact of Kun‐Ju Lin'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 Kun‐Ju Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun‐Ju Lin more than expected).
Fields of papers citing papers by Kun‐Ju Lin
This network shows the impact of papers produced by Kun‐Ju Lin. 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 Kun‐Ju Lin. The network helps show where Kun‐Ju Lin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kun‐Ju Lin, 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 | 4 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 11 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 3 | |
| 8 | 2022 | 13 | |
| 9 | 2020 | 9 | |
| 10 | 2020 | 11 | |
| 11 | 2019 | 6 | |
| 12 | 2018 | 31 | |
| 13 | 2018 | 9 | |
| 14 | 2018 | 3 | |
| 15 | 2016 | 33 | |
| 16 | 2014 | 114 | |
| 17 | 2013 | 92 | |
| 18 | 2012 | 10 | |
| 19 | 2010 | 3 | |
| 20 | 2006 | 1 |
About Kun‐Ju Lin
Kun‐Ju Lin is a scholar working on Pharmaceutical Science, Psychiatry and Mental health, Radiology, Nuclear Medicine and Imaging, Neurology and Physiology, having authored 247 papers that have together received 7.5k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (41 papers), Dementia and Cognitive Impairment Research (32 papers), Medical Imaging Techniques and Applications (25 papers), Parkinson's Disease Mechanisms and Treatments (21 papers), Nanoparticle-Based Drug Delivery (18 papers), Neurological disorders and treatments (17 papers), Advanced Drug Delivery Systems (16 papers) and Functional Brain Connectivity Studies (16 papers). The work is most often cited by research in Pharmaceutical Science (1.0k citations), Biomaterials (1.3k citations), Biological Psychiatry (118 citations), Neurology (715 citations) and Biomedical Engineering (1.9k citations). Kun‐Ju Lin has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Hsing‐Wen Sung, Tzu‐Chen Yen, Shiaw‐Pyng Wey, Ing‐Tsung Hsiao, Er‐Yuan Chuang, Kiran Sonaje, Tzu‐Chen Yen, Wei‐Tso Chia, M. Chung and Fang-Yi Su. Their work appears in journals such as Biomaterials, Nuclear Medicine and Biology, Scientific Reports, European Journal of Nuclear Medicine and Molecular Imaging 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.