Gan Lin
Impact in
- Biomaterials top 2%
- Nanoparticle-Based Drug Delivery
- Biomedical Engineering top 2%
- Nanoplatforms for cancer theranostics
- Graphene and Nanomaterials Applications
Papers in
- Biomaterials 17
- Nanoparticle-Based Drug Delivery 15
- Supramolecular Self-Assembly in Materials 2
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- Nanoplatforms for cancer theranostics 14
- Co-authors
- Gang Liu (21 shared papers)Chengchao Chu (7 shared papers)Peng Mi (5 shared papers)Yang Zhang (9 shared papers)Junqing Wang (3 shared papers)Xiaoyong Wang (2 shared papers)Wen Cai (2 shared papers)Pengfei Zhang (1 shared paper)
- Journals
- Biomaterials (6 papers)ACS Applied Materials & Interfaces (4 papers)Nature Communications (2 papers)Advanced Materials (2 papers)Journal of Materials Chemistry B (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Gan Lin
34 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 107
- Biomaterials 615
- Biomedical Engineering 1.0k
- Inorganic Chemistry 229
- Materials Chemistry 563
- Molecular Medicine 35
Countries citing papers authored by Gan Lin
This map shows the geographic impact of Gan Lin'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 Gan Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gan Lin more than expected).
Fields of papers citing papers by Gan Lin
This network shows the impact of papers produced by Gan Lin. 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 Gan Lin. The network helps show where Gan Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Gan Lin, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 303 | |
| 2 | 2020 | 122 | |
| 3 | 2016 | 122 | |
| 4 | 2020 | 97 | |
| 5 | 2015 | 96 | |
| 6 | 2021 | 86 | |
| 7 | 2016 | 83 | |
| 8 | 2020 | 77 | |
| 9 | 2017 | 76 | |
| 10 | 2016 | 75 | |
| 11 | 2014 | 67 | |
| 12 | 2020 | 52 | |
| 13 | 2018 | 43 | |
| 14 | 2020 | 43 | |
| 15 | 2023 | 42 | |
| 16 | 2018 | 41 | |
| 17 | 2017 | 41 | |
| 18 | 2021 | 39 | |
| 19 | 2015 | 39 | |
| 20 | 2019 | 38 |
About Gan Lin
Gan Lin is a scholar working on Biomaterials, Biomedical Engineering, Molecular Biology, Materials Chemistry and Immunology, having authored 35 papers that have together received 1.8k indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (15 papers), Nanoplatforms for cancer theranostics (14 papers), RNA Interference and Gene Delivery (8 papers), Advanced biosensing and bioanalysis techniques (4 papers), Adsorption and biosorption for pollutant removal (3 papers), Extracellular vesicles in disease (3 papers), Pickering emulsions and particle stabilization (3 papers) and Supramolecular Self-Assembly in Materials (2 papers). The work is most often cited by research in Biomaterials (615 citations), Biomedical Engineering (1.0k citations), Inorganic Chemistry (229 citations), Materials Chemistry (563 citations) and Molecular Medicine (35 citations). Gan Lin has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Gang Liu, Chengchao Chu, Peng Mi, Yang Zhang, Junqing Wang, Xiaoyong Wang, Wen Cai, Pengfei Zhang, Xiaoyuan Chen and Wengang Li. Their work appears in journals such as Biomaterials, ACS Applied Materials & Interfaces, Nature Communications, Advanced Materials and Journal of Materials Chemistry B.
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.