Kun-Ying Lu
Impact in
- Biomaterials top 2%
- Nanoparticle-Based Drug Delivery
- Nanocomposite Films for Food Packaging
- Electrospun Nanofibers in Biomedical Applications
- Aquatic Science top 2%
- Seaweed-derived Bioactive Compounds
Papers in
-
- Nanoplatforms for cancer theranostics 8
-
- Extracellular vesicles in disease 2
- Co-authors
- Fwu‐Long Mi (20 shared papers)Min-Lang Tsai (6 shared papers)Cheng‐Wei Lin (4 shared papers)Yi‐Cheng Ho (5 shared papers)Chun‐Hua Hsu (4 shared papers)Er‐Yuan Chuang (5 shared papers)Jui-Yu Wu (3 shared papers)Rou Li (2 shared papers)
- Journals
- Carbohydrate Polymers (4 papers)International Journal of Biological Macromolecules (2 papers)Materials Science and Engineering C (2 papers)ACS Applied Materials & Interfaces (2 papers)Nanomedicine (2 papers)
- Partner nations
- TaiwanUnited States
In The Last Decade
Kun-Ying Lu
20 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 105
- Biomaterials 444
- Aquatic Science 185
- Molecular Medicine 113
- Pharmaceutical Science 98
- Biomedical Engineering 442
Countries citing papers authored by Kun-Ying Lu
This map shows the geographic impact of Kun-Ying Lu'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-Ying Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun-Ying Lu more than expected).
Fields of papers citing papers by Kun-Ying Lu
This network shows the impact of papers produced by Kun-Ying Lu. 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-Ying Lu. The network helps show where Kun-Ying Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun-Ying Lu, 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 | 2017 | 137 | |
| 2 | 2020 | 112 | |
| 3 | 2017 | 88 | |
| 4 | 2019 | 84 | |
| 5 | 2018 | 83 | |
| 6 | 2015 | 76 | |
| 7 | 2016 | 57 | |
| 8 | 2018 | 54 | |
| 9 | 2017 | 53 | |
| 10 | 2019 | 49 | |
| 11 | 2020 | 49 | |
| 12 | 2017 | 40 | |
| 13 | 2015 | 39 | |
| 14 | 2017 | 38 | |
| 15 | 2020 | 37 | |
| 16 | 2020 | 35 | |
| 17 | 2016 | 33 | |
| 18 | 2014 | 33 | |
| 19 | 2020 | 24 | |
| 20 | 2018 | 14 |
About Kun-Ying Lu
Kun-Ying Lu is a scholar working on Biomedical Engineering, Molecular Biology, Aquatic Science, Biomaterials and Pharmaceutical Science, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (8 papers), Seaweed-derived Bioactive Compounds (5 papers), Nanoparticle-Based Drug Delivery (3 papers), Nanocomposite Films for Food Packaging (3 papers), Advanced Drug Delivery Systems (3 papers), Extracellular vesicles in disease (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Venous Thromboembolism Diagnosis and Management (1 paper). The work is most often cited by research in Biomaterials (444 citations), Aquatic Science (185 citations), Molecular Medicine (113 citations), Pharmaceutical Science (98 citations) and Biomedical Engineering (442 citations). Kun-Ying Lu has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Fwu‐Long Mi, Min-Lang Tsai, Cheng‐Wei Lin, Yi‐Cheng Ho, Chun‐Hua Hsu, Er‐Yuan Chuang, Jui-Yu Wu, Rou Li, Hsing‐Wen Sung and Pei-Ru Jheng. Their work appears in journals such as Carbohydrate Polymers, International Journal of Biological Macromolecules, Materials Science and Engineering C, ACS Applied Materials & Interfaces and Nanomedicine.
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.