Shibing Wang
Impact in
- Genetics top 5%
- Virus-based gene therapy research
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
Papers in
- Genetics 33
- Virus-based gene therapy research 33
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- Hepatocellular Carcinoma Treatment and Prognosis 5
- Co-authors
- Xiaozhou Mou (28 shared papers)Wen Lei (12 shared papers)Xiangmin Tong (16 shared papers)Chen Yang (7 shared papers)Ketao Jin (10 shared papers)Xianglei He (8 shared papers)Xiaoyi Chen (8 shared papers)Guoqing Ru (7 shared papers)
In The Last Decade
Shibing Wang
77 papers receiving 1.7k citations
Shibing Wang's Hit Papers
Peers
Comparison fields: 5 of 66
- Genetics 434
- Biomaterials 107
- Cancer Research 79
- Oncology 124
- Modeling and Simulation 12
Countries citing papers authored by Shibing Wang
This map shows the geographic impact of Shibing 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 Shibing Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shibing Wang more than expected).
Fields of papers citing papers by Shibing Wang
This network shows the impact of papers produced by Shibing 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 Shibing Wang. The network helps show where Shibing Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Shibing 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
Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 114 | |
| 2 | 2018 | 74 | |
| 3 | 2021 | 67 | |
| 4 | 2015 | 62 | |
| 5 | An oncolytic vaccinia virus encoding hyaluronidase reshapes the extracellular matrix to enhance cancer chemotherapy and immunotherapy Hit paper breakdown → | 2024 | 60 |
| 6 | 2008 | 53 | |
| 7 | 2021 | 52 | |
| 8 | 2018 | 47 | |
| 9 | Anti-angiogenesis or pro-angiogenesis for cancer treatment: focus on drug distribution. | 2015 | 46 |
| 10 | 2019 | 44 | |
| 11 | 2019 | 43 | |
| 12 | 2016 | 40 | |
| 13 | 2019 | 40 | |
| 14 | 2019 | 39 | |
| 15 | 2021 | 39 | |
| 16 | 2023 | 39 | |
| 17 | 2008 | 38 | |
| 18 | 2016 | 36 | |
| 19 | 2018 | 31 | |
| 20 | 2020 | 31 |
About Shibing Wang
Shibing Wang is a scholar working on Genetics, Hepatology, Cancer Research, Biomaterials and Molecular Biology, having authored 81 papers that have together received 1.7k indexed citations. Recurring topics across this work include Virus-based gene therapy research (33 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Nanoparticle-Based Drug Delivery (3 papers), Breast Cancer Treatment Studies (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Epilepsy research and treatment (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Genetics (434 citations), Biomaterials (107 citations), Cancer Research (79 citations), Oncology (124 citations) and Modeling and Simulation (12 citations). Shibing Wang has collaborated with scholars based in China, Taiwan and Iran. Frequent co-authors include Xiaozhou Mou, Wen Lei, Xiangmin Tong, Chen Yang, Ketao Jin, Xianglei He, Xiaoyi Chen, Guoqing Ru, Wen‐Chin Weng and Wang‐Tso Lee. Their work appears in journals such as Biomedicine & Pharmacotherapy, OncoTargets and Therapy, Journal for ImmunoTherapy of Cancer, Cancer Cell International and Scientific Reports.
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.