Lei Wang
Impact in
- Biomaterials top 0.2%
- Supramolecular Self-Assembly in Materials
- Nanoparticle-Based Drug Delivery
- Biomedical Engineering top 0.5%
- Nanoplatforms for cancer theranostics
- Bone Tissue Engineering Materials
- Graphene and Nanomaterials Applications
Papers in
- Biomaterials 73
- Supramolecular Self-Assembly in Materials 46
- Oncology 80
- Peptidase Inhibition and Analysis 30
- Co-authors
- Hao WangYujuan GaoGuobin QiPei‐Pei YangJingping ZhangMichael ChoppZeng‐Ying QiaoKuo Zhang
- Journals
- Small (10 papers)Biomaterials (9 papers)Chinese Chemical Letters (9 papers)Journal of Materials Chemistry B (8 papers)Advanced Materials (8 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Lei Wang
365 papers receiving 10.2k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Biomaterials 2.6k
- Biomedical Engineering 3.4k
- Microbiology 372
- Molecular Biology 3.6k
- Molecular Medicine 247
Countries citing papers authored by Lei Wang
This map shows the geographic impact of Lei Wang'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 Lei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Wang more than expected).
Fields of papers citing papers by Lei Wang
This network shows the impact of papers produced by Lei Wang. 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 Lei Wang. The network helps show where Lei Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lei Wang, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 9 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 5 | |
| 9 | 2024 | 6 | |
| 10 | 2024 | 2 | |
| 11 | 2023 | 3 | |
| 12 | 2023 | 48 | |
| 13 | 2023 | 14 | |
| 14 | 2023 | 1 | |
| 15 | 2023 | 10 | |
| 16 | 2022 | 10 | |
| 17 | 2022 | 3 | |
| 18 | 2021 | 18 | |
| 19 | 2021 | 3 | |
| 20 | 2019 | 154 |
About Lei Wang
Lei Wang is a scholar working on Biomaterials, Oncology, Microbiology, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, having authored 393 papers that have together received 10.3k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (54 papers), Supramolecular Self-Assembly in Materials (46 papers), Peptidase Inhibition and Analysis (30 papers), Monoclonal and Polyclonal Antibodies Research (28 papers), Luminescence and Fluorescent Materials (24 papers), Bone Tissue Engineering Materials (20 papers), Immunotherapy and Immune Responses (19 papers) and Advanced biosensing and bioanalysis techniques (18 papers). The work is most often cited by research in Biomaterials (2.6k citations), Biomedical Engineering (3.4k citations), Microbiology (372 citations), Molecular Biology (3.6k citations) and Molecular Medicine (247 citations). Lei Wang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Hao Wang, Yujuan Gao, Guobin Qi, Pei‐Pei Yang, Jingping Zhang, Michael Chopp, Zeng‐Ying Qiao, Kuo Zhang, Jieli Chen and Yao‐Xin Lin. Their work appears in journals such as Small, Biomaterials, Chinese Chemical Letters, Journal of Materials Chemistry B and Advanced Materials.
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.