Sili Wang
Impact in
-
- Cancer Cells and Metastasis
-
- Microfluidic and Bio-sensing Technologies
- 3D Printing in Biomedical Research
- Microfluidic and Capillary Electrophoresis Applications
Papers in
-
- Protein Degradation and Inhibitors 3
- Oncology 6
- Peptidase Inhibition and Analysis 2
- Co-authors
- Chaoyong Yang (2 shared papers)Yanling Song (2 shared papers)Zhi Zhu (2 shared papers)Yuanzhi Shi (1 shared paper)Wenli Liu (1 shared paper)Yuan Zou (1 shared paper)Wen‐Zhan Song (6 shared papers)Fangyu Li (3 shared papers)
- Journals
- IEEE Transactions on Signal and Information Processing over Networks (2 papers)Blood (2 papers)Scientific Reports (1 paper)The Planetary Science Journal (1 paper)Monthly Notices of the Royal Astronomical Society (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Sili Wang
30 papers receiving 428 citations
Peers
Comparison fields: 5 of 106
- Oncology 114
- Biomedical Engineering 142
- Hematology 35
- Cancer Research 39
- Geophysics 32
Countries citing papers authored by Sili Wang
This map shows the geographic impact of Sili 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 Sili Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sili Wang more than expected).
Fields of papers citing papers by Sili Wang
This network shows the impact of papers produced by Sili 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 Sili Wang. The network helps show where Sili Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Sili 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 146 | |
| 2 | 2007 | 39 | |
| 3 | 2020 | 34 | |
| 4 | 2005 | 31 | |
| 5 | 2018 | 23 | |
| 6 | 2021 | 20 | |
| 7 | 2020 | 19 | |
| 8 | 2020 | 17 | |
| 9 | 2021 | 15 | |
| 10 | 2018 | 11 | |
| 11 | 2022 | 10 | |
| 12 | An ABAQUS Implementation of the Cell-based Smoothed Finite Element Method Using Quadrilateral Elements | 2014 | 7 |
| 13 | 2022 | 7 | |
| 14 | 2020 | 6 | |
| 15 | 2012 | 6 | |
| 16 | 2023 | 5 | |
| 17 | 2014 | 5 | |
| 18 | 2023 | 4 | |
| 19 | 2017 | 4 | |
| 20 | 2018 | 4 |
About Sili Wang
Sili Wang is a scholar working on Molecular Biology, Oncology, Artificial Intelligence, Geophysics and Hematology, having authored 36 papers that have together received 432 indexed citations. Recurring topics across this work include Seismic Waves and Analysis (5 papers), Seismic Imaging and Inversion Techniques (5 papers), Seismology and Earthquake Studies (4 papers), Multiple Myeloma Research and Treatments (4 papers), Protein Degradation and Inhibitors (3 papers), Microbial Natural Products and Biosynthesis (2 papers), Cancer Mechanisms and Therapy (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Oncology (114 citations), Biomedical Engineering (142 citations), Hematology (35 citations), Cancer Research (39 citations) and Geophysics (32 citations). Sili Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Chaoyong Yang, Yanling Song, Zhi Zhu, Yuanzhi Shi, Wenli Liu, Yuan Zou, Wen‐Zhan Song, Fangyu Li, Fan‐Chi Lin and Maria Valero. Their work appears in journals such as IEEE Transactions on Signal and Information Processing over Networks, Blood, Scientific Reports, The Planetary Science Journal and Monthly Notices of the Royal Astronomical Society.
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.