I-Lin Lu
Impact in
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- Computational Drug Discovery Methods
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
Papers in
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- Peroxisome Proliferator-Activated Receptors 3
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- Nanoplatforms for cancer theranostics 6
- Co-authors
- Su‐Ying Wu (8 shared papers)Neeraj Mahindroo (6 shared papers)Yu‐Sheng Chao (6 shared papers)Hsing‐Pang Hsieh (5 shared papers)Hsin‐Cheng Chiu (6 shared papers)Hsin‐Hung Chen (4 shared papers)Wen‐Hsuan Chiang (5 shared papers)Po‐Huang Liang (3 shared papers)
- Journals
- Journal of Medicinal Chemistry (5 papers)Journal of Controlled Release (2 papers)European Polymer Journal (1 paper)Nanomaterials (1 paper)Bioorganic & Medicinal Chemistry Letters (1 paper)
- Partner nations
- TaiwanUnited States
In The Last Decade
I-Lin Lu
23 papers receiving 694 citations
Peers
Comparison fields: 5 of 87
- Computational Theory and Mathematics 169
- Biomaterials 99
- Infectious Diseases 97
- Pharmacology 71
- Biochemistry 32
Countries citing papers authored by I-Lin Lu
This map shows the geographic impact of I-Lin 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 I-Lin Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I-Lin Lu more than expected).
Fields of papers citing papers by I-Lin Lu
This network shows the impact of papers produced by I-Lin 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 I-Lin Lu. The network helps show where I-Lin Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside I-Lin 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
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 120 | |
| 2 | 2006 | 91 | |
| 3 | 2017 | 75 | |
| 4 | 2006 | 65 | |
| 5 | 2006 | 53 | |
| 6 | 2019 | 53 | |
| 7 | 2020 | 45 | |
| 8 | 2020 | 33 | |
| 9 | 2005 | 30 | |
| 10 | 2008 | 29 | |
| 11 | 2006 | 26 | |
| 12 | 2007 | 18 | |
| 13 | 2010 | 17 | |
| 14 | 2019 | 16 | |
| 15 | 2011 | 10 | |
| 16 | 2011 | 6 | |
| 17 | 2012 | 6 | |
| 18 | 2016 | 4 | |
| 19 | 2020 | 4 | |
| 20 | 2014 | 1 |
About I-Lin Lu
I-Lin Lu is a scholar working on Molecular Biology, Biomedical Engineering, Condensed Matter Physics, Biomaterials and Computational Theory and Mathematics, having authored 23 papers that have together received 705 indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (6 papers), Nanoparticle-Based Drug Delivery (4 papers), GaN-based semiconductor devices and materials (4 papers), Computational Drug Discovery Methods (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Photodynamic Therapy Research Studies (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Computational Theory and Mathematics (169 citations), Biomaterials (99 citations), Infectious Diseases (97 citations), Pharmacology (71 citations) and Biochemistry (32 citations). I-Lin Lu has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Su‐Ying Wu, Neeraj Mahindroo, Yu‐Sheng Chao, Hsing‐Pang Hsieh, Hsin‐Cheng Chiu, Hsin‐Hung Chen, Wen‐Hsuan Chiang, Po‐Huang Liang, Yi‐Hui Peng and Te‐I Liu. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Controlled Release, European Polymer Journal, Nanomaterials and Bioorganic & Medicinal Chemistry 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.