Shiwei Wang
- Molecular Biology top 10%
- Computational Theory and Mathematics top 0.5%
- Pharmacology top 2%
- Materials Chemistry
- Pharmacology top 5%
- Topics
- Computational Drug Discovery Methods (10 papers)Protein Structure and Dynamics (7 papers)Machine Learning in Materials Science (3 papers)
- Journals
- Nucleic Acids ResearchSHILAP Revista de lepidopterologíaJournal of Molecular Biology
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Shiwei Wang
31 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Molecular Biology 1.0k
- Computational Theory and Mathematics 659
- Pharmacology 255
- Materials Chemistry 240
- Pharmacology 236
Countries citing papers authored by Shiwei Wang
This map shows the geographic impact of Shiwei 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 Shiwei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shiwei Wang more than expected).
Fields of papers citing papers by Shiwei Wang
This network shows the impact of papers produced by Shiwei 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 Shiwei Wang. The network helps show where Shiwei Wang may publish in the future.
Co-authorship network of co-authors of Shiwei Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Shiwei Wang. A scholar is included among the top collaborators of Shiwei Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shiwei Wang. Shiwei Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 22 | |
| 3 | 0 | |
| 4 | 60 | |
| 5 | 1 | |
| 6 | 13 | |
| 7 | 2 | |
| 8 | 37 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 237 | |
| 12 | 4 | |
| 13 | CavityPlus: a web server for protein cavity detection with pharmacophore modelling, allosteric site identification and covalent ligand binding ability predictionbreakdown → | 281 |
| 14 | 19 | |
| 15 | PharmMapper 2017 update: a web server for potential drug target identification with a comprehensive target pharmacophore databasebreakdown → | 1036 |
| 16 | 14 | |
| 17 | 29 | |
| 18 | 10 | |
| 19 | 1 | |
| 20 | Fraud detection in tax declaration using SGNN | 1 |
About Shiwei Wang
Shiwei Wang is a scholar working on Health Informatics, Computational Theory and Mathematics and Computer Science Applications, having authored 32 papers that have together received 2.0k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (10 papers), Protein Structure and Dynamics (7 papers) and Machine Learning in Materials Science (3 papers). The work is most often cited by research in Computational Theory and Mathematics (659 citations), Pharmacology (255 citations) and Complementary and alternative medicine (150 citations). Shiwei Wang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Luhua Lai, Jianfeng Pei, Weilin Zhang, Yihang Shen, Xiaofeng Liu, Xia Wang, Shiliang Li, Honglin Li, Youjun Xu and Ke Tang. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Journal of Molecular Biology.
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.