Weijia Wei
Impact in
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
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- Nanoplatforms for cancer theranostics
- Graphene and Nanomaterials Applications
Papers in
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- CRISPR and Genetic Engineering 4
- Gene Regulatory Network Analysis 2
- Viral Infectious Diseases and Gene Expression in Insects 1
- Epigenetics and DNA Methylation 1
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- Nanoplatforms for cancer theranostics 3
- Graphene and Nanomaterials Applications 2
- Co-authors
- Xianfeng Chen (4 shared papers)Xiaohong Zhang (4 shared papers)Mengjiao Zhou (3 shared papers)Xiujuan Zhang (2 shared papers)Bo Yu (2 shared papers)Chunbo Lou (4 shared papers)Fankang Meng (1 shared paper)Xiuzhen Xu (1 shared paper)
- Journals
- Life (2 papers)Nucleic Acids Research (2 papers)Nanoscale (2 papers)Synthetic and Systems Biotechnology (1 paper)Biomaterials (1 paper)
- Partner nations
- ChinaUnited KingdomHong Kong
In The Last Decade
Weijia Wei
10 papers receiving 269 citations
Peers
Comparison fields: 5 of 62
- Biomaterials 111
- Biomedical Engineering 115
- Molecular Medicine 9
- Molecular Biology 118
- Pharmaceutical Science 9
Countries citing papers authored by Weijia Wei
This map shows the geographic impact of Weijia Wei'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 Weijia Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weijia Wei more than expected).
Fields of papers citing papers by Weijia Wei
This network shows the impact of papers produced by Weijia Wei. 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 Weijia Wei. The network helps show where Weijia Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Weijia Wei, 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 | 2015 | 92 | |
| 2 | 2019 | 39 | |
| 3 | 2016 | 39 | |
| 4 | 2019 | 35 | |
| 5 | 2016 | 30 | |
| 6 | 2022 | 10 | |
| 7 | 2021 | 8 | |
| 8 | 2022 | 8 | |
| 9 | 2022 | 7 | |
| 10 | 2021 | 1 | |
| 11 | 2025 | 0 |
About Weijia Wei
Weijia Wei is a scholar working on Molecular Biology, Biomedical Engineering, Biomaterials, Materials Chemistry and Pharmacology, having authored 11 papers that have together received 269 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (4 papers), Nanoparticle-Based Drug Delivery (3 papers), Nanoplatforms for cancer theranostics (3 papers), Graphene and Nanomaterials Applications (2 papers), Gene Regulatory Network Analysis (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Epigenetics and DNA Methylation (1 paper) and Polymer Surface Interaction Studies (1 paper). The work is most often cited by research in Biomaterials (111 citations), Biomedical Engineering (115 citations), Molecular Medicine (9 citations), Molecular Biology (118 citations) and Pharmaceutical Science (9 citations). Weijia Wei has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Xianfeng Chen, Xiaohong Zhang, Mengjiao Zhou, Xiujuan Zhang, Bo Yu, Chunbo Lou, Fankang Meng, Xiuzhen Xu, Yang Zheng and Jinchun Chen. Their work appears in journals such as Life, Nucleic Acids Research, Nanoscale, Synthetic and Systems Biotechnology and Biomaterials.
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.