Yashi Wang
Impact in
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
- Statistics and Probability top 5%
- Statistical Distribution Estimation and Applications
Papers in
-
- Nanoplatforms for cancer theranostics 12
-
- RNA Interference and Gene Delivery 5
- Co-authors
- Man Li (16 shared papers)Taizhong Hu (3 shared papers)Qin He (12 shared papers)Zhirong Zhang (7 shared papers)Xuhui Wang (5 shared papers)Chunyu Xia (4 shared papers)Zhengze Lu (4 shared papers)Yang Long (4 shared papers)
- Journals
- Journal of Controlled Release (6 papers)Acta Biomaterialia (3 papers)Nano Research (3 papers)ACS Applied Materials & Interfaces (2 papers)International Journal of Pharmaceutics (2 papers)
- Partner nations
- ChinaUnited KingdomSweden
In The Last Decade
Yashi Wang
44 papers receiving 618 citations
Peers
Comparison fields: 5 of 115
- Biomaterials 131
- Statistics and Probability 63
- Safety, Risk, Reliability and Quality 62
- Statistics, Probability and Uncertainty 43
- Software 20
Countries citing papers authored by Yashi Wang
This map shows the geographic impact of Yashi 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 Yashi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yashi Wang more than expected).
Fields of papers citing papers by Yashi Wang
This network shows the impact of papers produced by Yashi 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 Yashi Wang. The network helps show where Yashi Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yashi 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 54 | |
| 2 | 2018 | 52 | |
| 3 | 2019 | 43 | |
| 4 | 2021 | 42 | |
| 5 | 2021 | 38 | |
| 6 | 2021 | 37 | |
| 7 | 2021 | 36 | |
| 8 | 2022 | 33 | |
| 9 | 2020 | 26 | |
| 10 | 2021 | 25 | |
| 11 | 2020 | 25 | |
| 12 | 2022 | 22 | |
| 13 | 2023 | 16 | |
| 14 | 2024 | 14 | |
| 15 | 2024 | 12 | |
| 16 | 2023 | 12 | |
| 17 | 2025 | 11 | |
| 18 | 2025 | 10 | |
| 19 | 2022 | 10 | |
| 20 | 2021 | 10 |
About Yashi Wang
Yashi Wang is a scholar working on Biomedical Engineering, Molecular Biology, Epidemiology, Cancer Research and Information Systems, having authored 53 papers that have together received 629 indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (12 papers), Autophagy in Disease and Therapy (6 papers), RNA Interference and Gene Delivery (5 papers), Nanoparticle-Based Drug Delivery (5 papers), Statistical Distribution Estimation and Applications (4 papers), Service-Oriented Architecture and Web Services (4 papers), Business Process Modeling and Analysis (3 papers) and Immune cells in cancer (3 papers). The work is most often cited by research in Biomaterials (131 citations), Statistics and Probability (63 citations), Safety, Risk, Reliability and Quality (62 citations), Statistics, Probability and Uncertainty (43 citations) and Software (20 citations). Yashi Wang has collaborated with scholars based in China, United Kingdom and Sweden. Frequent co-authors include Man Li, Taizhong Hu, Qin He, Zhirong Zhang, Xuhui Wang, Chunyu Xia, Zhengze Lu, Yang Long, Sheng Yin and Chongfeng Ren. Their work appears in journals such as Journal of Controlled Release, Acta Biomaterialia, Nano Research, ACS Applied Materials & Interfaces and International Journal of Pharmaceutics.
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.