Xiangeng Wang
Impact in
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- Computational Drug Discovery Methods
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- Machine Learning in Bioinformatics
- Bioinformatics and Genomic Networks
- Protein Structure and Dynamics
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- vaccines and immunoinformatics approaches
Papers in
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- Machine Learning in Bioinformatics 5
- Protein Structure and Dynamics 2
- Protein Degradation and Inhibitors 1
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- Computational Drug Discovery Methods 5
- Co-authors
- Dong‐Qing Wei (13 shared papers)Yi Xiong (7 shared papers)Aman Chandra Kaushik (10 shared papers)Yanyi Chu (4 shared papers)Xiaoqi Shan (4 shared papers)Yufang Zhang (3 shared papers)Yanjing Wang (10 shared papers)Wei Wang (1 shared paper)
- Journals
- Frontiers in Bioengineering and Biotechnology (2 papers)Briefings in Bioinformatics (2 papers)New Journal of Chemistry (2 papers)FEBS Journal (1 paper)Journal of Chemical Information and Modeling (1 paper)
- Partner nations
- ChinaUnited KingdomSingapore
In The Last Decade
Xiangeng Wang
17 papers receiving 454 citations
Peers
Comparison fields: 5 of 89
- Computational Theory and Mathematics 184
- Molecular Biology 305
- Microbiology 23
- Cancer Research 31
- Pharmacology 17
Countries citing papers authored by Xiangeng Wang
This map shows the geographic impact of Xiangeng 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 Xiangeng Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiangeng Wang more than expected).
Fields of papers citing papers by Xiangeng Wang
This network shows the impact of papers produced by Xiangeng 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 Xiangeng Wang. The network helps show where Xiangeng Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiangeng 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
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 159 | |
| 2 | 2019 | 52 | |
| 3 | 2020 | 50 | |
| 4 | 2019 | 34 | |
| 5 | 2020 | 33 | |
| 6 | 2020 | 20 | |
| 7 | 2021 | 18 | |
| 8 | 2019 | 16 | |
| 9 | 2019 | 14 | |
| 10 | 2019 | 14 | |
| 11 | 2019 | 13 | |
| 12 | 2019 | 10 | |
| 13 | 2021 | 8 | |
| 14 | 2022 | 5 | |
| 15 | 2019 | 5 | |
| 16 | 2025 | 4 | |
| 17 | 2019 | 1 |
About Xiangeng Wang
Xiangeng Wang is a scholar working on Molecular Biology, Computational Theory and Mathematics, Artificial Intelligence, Oncology and Biomaterials, having authored 17 papers that have together received 456 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Machine Learning in Bioinformatics (5 papers), Text and Document Classification Technologies (3 papers), Nanoparticle-Based Drug Delivery (2 papers), Protein Structure and Dynamics (2 papers), Alzheimer's disease research and treatments (1 paper), Metallurgy and Material Forming (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Computational Theory and Mathematics (184 citations), Molecular Biology (305 citations), Microbiology (23 citations), Cancer Research (31 citations) and Pharmacology (17 citations). Xiangeng Wang has collaborated with scholars based in China, United Kingdom and Singapore. Frequent co-authors include Dong‐Qing Wei, Yi Xiong, Aman Chandra Kaushik, Yanyi Chu, Xiaoqi Shan, Yufang Zhang, Yanjing Wang, Wei Wang, Dennis R. Salahub and Qin Xu. Their work appears in journals such as Frontiers in Bioengineering and Biotechnology, Briefings in Bioinformatics, New Journal of Chemistry, FEBS Journal and Journal of Chemical Information and Modeling.
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.