Shengwei Han
Impact in
- Biomedical Engineering top 5%
- Bone Tissue Engineering Materials
- Graphene and Nanomaterials Applications
- Nanoplatforms for cancer theranostics
- 3D Printing in Biomedical Research
- Biomaterials top 10%
- Electrospun Nanofibers in Biomedical Applications
Papers in
-
- Bone Metabolism and Diseases 3
- RNA Interference and Gene Delivery 2
- Ubiquitin and proteasome pathways 1
-
- Bone Tissue Engineering Materials 4
- Nanoplatforms for cancer theranostics 2
- Co-authors
- Yin Xiao (6 shared papers)Fei Wei (3 shared papers)Zetao Chen (3 shared papers)Jiang Chang (4 shared papers)Shifeier Lu (2 shared papers)Chengtie Wu (3 shared papers)Akash Bachhuka (1 shared paper)Rahul Madathiparambil Visalakshan (1 shared paper)
In The Last Decade
Shengwei Han
20 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 90
- Biomedical Engineering 560
- Biomaterials 153
- Urology 54
- Rehabilitation 56
- Cancer Research 97
Countries citing papers authored by Shengwei Han
This map shows the geographic impact of Shengwei Han'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 Shengwei Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shengwei Han more than expected).
Fields of papers citing papers by Shengwei Han
This network shows the impact of papers produced by Shengwei Han. 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 Shengwei Han. The network helps show where Shengwei Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Shengwei Han, 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 | 2017 | 254 | |
| 2 | 2017 | 175 | |
| 3 | 2016 | 157 | |
| 4 | 2018 | 73 | |
| 5 | 2016 | 63 | |
| 6 | 2017 | 53 | |
| 7 | 2019 | 48 | |
| 8 | 2016 | 47 | |
| 9 | 2021 | 32 | |
| 10 | 2017 | 28 | |
| 11 | 2022 | 24 | |
| 12 | 2022 | 23 | |
| 13 | 2023 | 13 | |
| 14 | 2014 | 12 | |
| 15 | 2020 | 11 | |
| 16 | 2019 | 8 | |
| 17 | 2023 | 7 | |
| 18 | 2015 | 7 | |
| 19 | Co-expression of HIF-1 and TLR3 is associated with poor prognosis in oral squamous cell carcinoma. | 2020 | 3 |
| 20 | [Establishment of CoCl2 induced hypoxic cell model of oral squamous cell carcinoma and a preliminary study on the biological behaviour change]. | 2015 | 1 |
About Shengwei Han
Shengwei Han is a scholar working on Molecular Biology, Biomedical Engineering, Pulmonary and Respiratory Medicine, Cancer Research and Surgery, having authored 20 papers that have together received 1.0k indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (4 papers), Bone Metabolism and Diseases (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), RNA Interference and Gene Delivery (2 papers), Immune cells in cancer (2 papers), Nanoplatforms for cancer theranostics (2 papers), Sarcoma Diagnosis and Treatment (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Biomedical Engineering (560 citations), Biomaterials (153 citations), Urology (54 citations), Rehabilitation (56 citations) and Cancer Research (97 citations). Shengwei Han has collaborated with scholars based in China, Australia and Japan. Frequent co-authors include Yin Xiao, Fei Wei, Zetao Chen, Jiang Chang, Shifeier Lu, Chengtie Wu, Akash Bachhuka, Rahul Madathiparambil Visalakshan, Krasimir Vasilev and Wei Han. Their work appears in journals such as Journal of Craniofacial Surgery, Cellular Oncology, Applied Materials Today, Biomaterials and Advanced Healthcare 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.