Brian Lu
Impact in
- Pharmaceutical Science top 2%
- Advancements in Transdermal Drug Delivery
- Advanced Drug Delivery Systems
-
- Nanoparticle-Based Drug Delivery
Papers in
-
- Advancements in Transdermal Drug Delivery 7
- Advanced Drug Delivery Systems 6
-
- Lipid Membrane Structure and Behavior 3
- Co-authors
- Xiao Yu Wu (11 shared papers)Amin GhavamiNejad (9 shared papers)Adria Giacca (7 shared papers)Jason Li (2 shared papers)Liwei Zhou (2 shared papers)Loretta Lam (1 shared paper)Sako Mirzaie (6 shared papers)Melisa Samarikhalaj (3 shared papers)
- Journals
- Drug Delivery and Translational Research (2 papers)Advances in experimental medicine and biology (1 paper)Advanced Materials (1 paper)Gene Therapy (1 paper)Nanoscale (1 paper)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Brian Lu
18 papers receiving 438 citations
Peers
Comparison fields: 5 of 74
- Pharmaceutical Science 215
- Biomaterials 82
- Molecular Medicine 27
- Dermatology 41
- Endocrinology, Diabetes and Metabolism 47
Countries citing papers authored by Brian Lu
This map shows the geographic impact of Brian 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 Brian Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Lu more than expected).
Fields of papers citing papers by Brian Lu
This network shows the impact of papers produced by Brian 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 Brian Lu. The network helps show where Brian Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian 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 | 2019 | 147 | |
| 2 | 2018 | 93 | |
| 3 | 2023 | 45 | |
| 4 | 2017 | 29 | |
| 5 | 2019 | 25 | |
| 6 | 2021 | 24 | |
| 7 | 2022 | 19 | |
| 8 | 2015 | 16 | |
| 9 | 2022 | 12 | |
| 10 | 2025 | 9 | |
| 11 | 2019 | 7 | |
| 12 | 1995 | 6 | |
| 13 | 2010 | 4 | |
| 14 | 2021 | 3 | |
| 15 | 2010 | 2 | |
| 16 | 2024 | 1 | |
| 17 | 2014 | 1 | |
| 18 | 2024 | 1 |
About Brian Lu
Brian Lu is a scholar working on Pharmaceutical Science, Molecular Biology, Endocrinology, Diabetes and Metabolism, Biomaterials and Biomedical Engineering, having authored 18 papers that have together received 444 indexed citations. Recurring topics across this work include Advancements in Transdermal Drug Delivery (7 papers), Advanced Drug Delivery Systems (6 papers), Diabetes Management and Research (4 papers), Nanoparticle-Based Drug Delivery (3 papers), Lipid Membrane Structure and Behavior (3 papers), Graphene and Nanomaterials Applications (2 papers), Virus-based gene therapy research (2 papers) and Click Chemistry and Applications (1 paper). The work is most often cited by research in Pharmaceutical Science (215 citations), Biomaterials (82 citations), Molecular Medicine (27 citations), Dermatology (41 citations) and Endocrinology, Diabetes and Metabolism (47 citations). Brian Lu has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Xiao Yu Wu, Amin GhavamiNejad, Adria Giacca, Jason Li, Liwei Zhou, Loretta Lam, Sako Mirzaie, Jason Li, Melisa Samarikhalaj and Taksim Ahmed. Their work appears in journals such as Drug Delivery and Translational Research, Advances in experimental medicine and biology, Advanced Materials, Gene Therapy and Nanoscale.
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.