Weiwei Lin
Impact in
- Biomaterials top 10%
- Electrospun Nanofibers in Biomedical Applications
- Neurology top 10%
Papers in
-
- Single-cell and spatial transcriptomics 3
-
- Plant nutrient uptake and metabolism 4
- Silicon Effects in Agriculture 4
- Aluminum toxicity and tolerance in plants and animals 4
- Plant Stress Responses and Tolerance 4
- Co-authors
- Yisheng Chen (13 shared papers)Feng Luo (12 shared papers)Jiehua Li (11 shared papers)Zhaowei Li (8 shared papers)Hong Tan (8 shared papers)Guman Duan (4 shared papers)Jiashen Shao (2 shared papers)Qiang Fu (6 shared papers)
- Journals
- Frontiers in Aging Neuroscience (3 papers)Plant Growth Regulation (3 papers)Journal of Materials Chemistry B (3 papers)Regenerative Biomaterials (3 papers)Physiologia Plantarum (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Weiwei Lin
65 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 123
- Biomaterials 136
- Neurology 70
- Plant Science 314
- Surfaces, Coatings and Films 55
- Molecular Biology 404
Countries citing papers authored by Weiwei Lin
This map shows the geographic impact of Weiwei 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 Weiwei Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiwei Lin more than expected).
Fields of papers citing papers by Weiwei Lin
This network shows the impact of papers produced by Weiwei 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 Weiwei Lin. The network helps show where Weiwei Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Weiwei 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 85 | |
| 2 | 2021 | 70 | |
| 3 | 2019 | 59 | |
| 4 | 2023 | 58 | |
| 5 | 2020 | 52 | |
| 6 | 2020 | 49 | |
| 7 | 2018 | 49 | |
| 8 | 2021 | 37 | |
| 9 | 2020 | 37 | |
| 10 | 2016 | 37 | |
| 11 | 2019 | 36 | |
| 12 | 2019 | 35 | |
| 13 | 2019 | 34 | |
| 14 | 2019 | 32 | |
| 15 | 2022 | 31 | |
| 16 | 2022 | 31 | |
| 17 | 2022 | 30 | |
| 18 | 2018 | 30 | |
| 19 | 2020 | 30 | |
| 20 | 2019 | 30 |
About Weiwei Lin
Weiwei Lin is a scholar working on Molecular Biology, Plant Science, Biomaterials, Biomedical Engineering and Surgery, having authored 67 papers that have together received 1.5k indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (9 papers), Bone Tissue Engineering Materials (5 papers), Plant nutrient uptake and metabolism (4 papers), Silicon Effects in Agriculture (4 papers), Aluminum toxicity and tolerance in plants and animals (4 papers), Plant Stress Responses and Tolerance (4 papers), Polymer composites and self-healing (4 papers) and Single-cell and spatial transcriptomics (3 papers). The work is most often cited by research in Biomaterials (136 citations), Neurology (70 citations), Plant Science (314 citations), Surfaces, Coatings and Films (55 citations) and Molecular Biology (404 citations). Weiwei Lin has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yisheng Chen, Feng Luo, Jiehua Li, Zhaowei Li, Hong Tan, Guman Duan, Jiashen Shao, Qiang Fu, Yongjian Zhu and Wenxiong Lin. Their work appears in journals such as Frontiers in Aging Neuroscience, Plant Growth Regulation, Journal of Materials Chemistry B, Regenerative Biomaterials and Physiologia Plantarum.
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.