Fang Lan
Impact in
- Biomaterials top 2%
- Nanoparticle-Based Drug Delivery
- Biomedical Engineering top 2%
- Bone Tissue Engineering Materials
- Nanoplatforms for cancer theranostics
- Graphene and Nanomaterials Applications
Papers in
-
- Advanced biosensing and bioanalysis techniques 30
- Glycosylation and Glycoproteins Research 9
- CRISPR and Genetic Engineering 9
- Co-authors
- Yao Wu (79 shared papers)Zhongwei Gu (28 shared papers)Bin Luo (30 shared papers)Wen Jiang (6 shared papers)Li Li (1 shared paper)Hongmei Song (1 shared paper)Kui Luo (1 shared paper)Zhiyu Li (17 shared papers)
- Journals
- Journal of Materials Chemistry B (11 papers)Nanoscale (8 papers)Superconductor Science and Technology (7 papers)Journal of Colloid and Interface Science (6 papers)Physica C Superconductivity (6 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Fang Lan
173 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 148
- Biomaterials 712
- Biomedical Engineering 1.1k
- Condensed Matter Physics 244
- Spectroscopy 305
- Molecular Biology 1.2k
Countries citing papers authored by Fang Lan
This map shows the geographic impact of Fang Lan'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 Fang Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang Lan more than expected).
Fields of papers citing papers by Fang Lan
This network shows the impact of papers produced by Fang Lan. 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 Fang Lan. The network helps show where Fang Lan may publish in the future.
Co-authors
The 25 scholars most cited alongside Fang Lan, 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 182 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 431 | |
| 2 | 2014 | 155 | |
| 3 | 2017 | 113 | |
| 4 | 2019 | 98 | |
| 5 | 2018 | 96 | |
| 6 | 2011 | 86 | |
| 7 | 1993 | 83 | |
| 8 | 2017 | 79 | |
| 9 | 2019 | 72 | |
| 10 | 2019 | 70 | |
| 11 | 2016 | 67 | |
| 12 | 2019 | 62 | |
| 13 | 2018 | 60 | |
| 14 | 2020 | 55 | |
| 15 | 2011 | 53 | |
| 16 | 2016 | 50 | |
| 17 | 2016 | 43 | |
| 18 | 2023 | 41 | |
| 19 | 2012 | 40 | |
| 20 | 2018 | 39 |
About Fang Lan
Fang Lan is a scholar working on Molecular Biology, Biomedical Engineering, Materials Chemistry, Electrical and Electronic Engineering and Condensed Matter Physics, having authored 182 papers that have together received 3.6k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (30 papers), Physics of Superconductivity and Magnetism (28 papers), Nanoparticle-Based Drug Delivery (20 papers), Advanced Proteomics Techniques and Applications (11 papers), Glycosylation and Glycoproteins Research (9 papers), Metal-Organic Frameworks: Synthesis and Applications (9 papers), Iron-based superconductors research (9 papers) and CRISPR and Genetic Engineering (9 papers). The work is most often cited by research in Biomaterials (712 citations), Biomedical Engineering (1.1k citations), Condensed Matter Physics (244 citations), Spectroscopy (305 citations) and Molecular Biology (1.2k citations). Fang Lan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yao Wu, Zhongwei Gu, Bin Luo, Wen Jiang, Li Li, Hongmei Song, Kui Luo, Zhiyu Li, Qi Yang and Peipei Jiang. Their work appears in journals such as Journal of Materials Chemistry B, Nanoscale, Superconductor Science and Technology, Journal of Colloid and Interface Science and Physica C Superconductivity.
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.