Shibing Wang
Impact in
Papers in
- Genetics 38
- Virus-based gene therapy research 38
-
- RNA Interference and Gene Delivery 9
- Co-authors
- Xiaozhou Mou (29 shared papers)Wen Lei (12 shared papers)Xiangmin Tong (16 shared papers)Ketao Jin (10 shared papers)Chen Yang (7 shared papers)Xiaoyi Chen (8 shared papers)Xianglei He (8 shared papers)Guoqing Ru (7 shared papers)
- Journals
- Biomedicine & Pharmacotherapy (5 papers)Journal for ImmunoTherapy of Cancer (3 papers)OncoTargets and Therapy (3 papers)Oncotarget (2 papers)Current Topics in Medicinal Chemistry (2 papers)
- Partner nations
- ChinaTaiwanNetherlands
In The Last Decade
Shibing Wang
78 papers receiving 1.6k citations
Shibing Wang's Hit Papers
Peers
Comparison fields: 5 of 96
- Oncology 511
- Genetics 477
- Biotechnology 144
- Cancer Research 196
- Immunology 208
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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 107 | |
| 2 | 2018 | 72 | |
| 3 | 2021 | 63 | |
| 4 | 2015 | 61 | |
| 5 | 2008 | 51 | |
| 6 | 2021 | 49 | |
| 7 | Anti-angiogenesis or pro-angiogenesis for cancer treatment: focus on drug distribution. | 2015 | 48 |
| 8 | 2018 | 48 | |
| 9 | An oncolytic vaccinia virus encoding hyaluronidase reshapes the extracellular matrix to enhance cancer chemotherapy and immunotherapy Hit paper breakdown → | 2024 | 47 |
| 10 | 2019 | 43 | |
| 11 | 2019 | 42 | |
| 12 | 2016 | 40 | |
| 13 | 2019 | 38 | |
| 14 | 2019 | 38 | |
| 15 | 2016 | 36 | |
| 16 | 2008 | 36 | |
| 17 | 2023 | 35 | |
| 18 | 2021 | 32 | |
| 19 | 2020 | 31 | |
| 20 | 2018 | 30 |
About Shibing Wang
Shibing Wang is a scholar working on Genetics, Molecular Biology, Oncology, Biotechnology and Immunology, having authored 79 papers that have together received 1.6k indexed citations. Recurring topics across this work include Virus-based gene therapy research (38 papers), CAR-T cell therapy research (19 papers), Cancer Research and Treatments (16 papers), RNA Interference and Gene Delivery (9 papers), Nanoplatforms for cancer theranostics (7 papers), Cancer Cells and Metastasis (5 papers), Viral gastroenteritis research and epidemiology (4 papers) and Immunotherapy and Immune Responses (4 papers). The work is most often cited by research in Oncology (511 citations), Genetics (477 citations), Biotechnology (144 citations), Cancer Research (196 citations) and Immunology (208 citations). Shibing Wang has collaborated with scholars based in China, Taiwan and Netherlands. Frequent co-authors include Xiaozhou Mou, Wen Lei, Xiangmin Tong, Ketao Jin, Chen Yang, Xiaoyi Chen, Xianglei He, Guoqing Ru, Wang‐Tso Lee and Wen‐Chin Weng. Their work appears in journals such as Biomedicine & Pharmacotherapy, Journal for ImmunoTherapy of Cancer, OncoTargets and Therapy, Oncotarget and Current Topics in Medicinal Chemistry.
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.