Yun‐Chi Lu
Impact in
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- Nanoparticle-Based Drug Delivery
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- Monoclonal and Polyclonal Antibodies Research
Papers in
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- Glycosylation and Glycoproteins Research 4
- Protein purification and stability 3
- Cancer therapeutics and mechanisms 2
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- Monoclonal and Polyclonal Antibodies Research 7
- Co-authors
- Tian‐Lu Cheng (13 shared papers)Chih-Hung Chuang (8 shared papers)Wen-Wei Lin (10 shared papers)Kai-Wen Cheng (8 shared papers)Yi‐An Cheng (10 shared papers)I‐Ju Chen (9 shared papers)Ta-Chun Cheng (4 shared papers)Yuan-Chin Hsieh (7 shared papers)
- Journals
- Scientific Reports (4 papers)Journal of Nanobiotechnology (1 paper)Acta Biomaterialia (1 paper)PLoS Biology (1 paper)Journal of Biomedical Science (1 paper)
- Partner nations
- TaiwanFranceUnited Kingdom
In The Last Decade
Yun‐Chi Lu
15 papers receiving 350 citations
Peers
Comparison fields: 5 of 58
- Biomaterials 82
- Radiology, Nuclear Medicine and Imaging 96
- Oncology 100
- Molecular Biology 203
- Pharmacology 24
Countries citing papers authored by Yun‐Chi Lu
This map shows the geographic impact of Yun‐Chi 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 Yun‐Chi Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yun‐Chi Lu more than expected).
Fields of papers citing papers by Yun‐Chi Lu
This network shows the impact of papers produced by Yun‐Chi 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 Yun‐Chi Lu. The network helps show where Yun‐Chi Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yun‐Chi 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 | 2018 | 73 | |
| 2 | 2017 | 36 | |
| 3 | 2017 | 35 | |
| 4 | 2018 | 33 | |
| 5 | 2020 | 30 | |
| 6 | 2019 | 28 | |
| 7 | 2019 | 26 | |
| 8 | 2020 | 21 | |
| 9 | 2016 | 18 | |
| 10 | 2021 | 14 | |
| 11 | 2020 | 13 | |
| 12 | 2021 | 10 | |
| 13 | 2019 | 8 | |
| 14 | 2021 | 7 | |
| 15 | 2021 | 4 | |
| 16 | 2025 | 0 |
About Yun‐Chi Lu
Yun‐Chi Lu is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Biomaterials, Immunology and Biomedical Engineering, having authored 16 papers that have together received 356 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), Nanoparticle-Based Drug Delivery (6 papers), Glycosylation and Glycoproteins Research (4 papers), Protein purification and stability (3 papers), Nanoplatforms for cancer theranostics (2 papers), Cancer therapeutics and mechanisms (2 papers), Cell Adhesion Molecules Research (2 papers) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Biomaterials (82 citations), Radiology, Nuclear Medicine and Imaging (96 citations), Oncology (100 citations), Molecular Biology (203 citations) and Pharmacology (24 citations). Yun‐Chi Lu has collaborated with scholars based in Taiwan, France and United Kingdom. Frequent co-authors include Tian‐Lu Cheng, Chih-Hung Chuang, Wen-Wei Lin, Kai-Wen Cheng, Yi‐An Cheng, I‐Ju Chen, Ta-Chun Cheng, Yuan-Chin Hsieh, Jaw‐Yuan Wang and Chih-Hua Tseng. Their work appears in journals such as Scientific Reports, Journal of Nanobiotechnology, Acta Biomaterialia, PLoS Biology and Journal of Biomedical Science.
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.