Xiaogang Wu
- Molecular Biology top 10%
- Cancer Research top 10%
- Computational Theory and Mathematics top 2%
- Computer Vision and Pattern Recognition top 5%
- Immunology
- Co-authors
- Jake Y. ChenHanping HuBaoliang ZhangLiang‐Chin HuangMohammad Al HasanJian GuKai WangTaek‐Kyun Kim
- Topics
- Bioinformatics and Genomic Networks (20 papers)Computational Drug Discovery Methods (18 papers)Microbial Community Ecology and Physiology (10 papers)
- Partner nations
- United StatesChinaPakistan
In The Last Decade
Xiaogang Wu
91 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 162
- Molecular Biology 874
- Cancer Research 284
- Computational Theory and Mathematics 216
- Computer Vision and Pattern Recognition 148
- Immunology 132
Countries citing papers authored by Xiaogang Wu
This map shows the geographic impact of Xiaogang Wu'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 Xiaogang Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaogang Wu more than expected).
Fields of papers citing papers by Xiaogang Wu
This network shows the impact of papers produced by Xiaogang Wu. 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 Xiaogang Wu. The network helps show where Xiaogang Wu may publish in the future.
Co-authorship network of co-authors of Xiaogang Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaogang Wu. A scholar is included among the top collaborators of Xiaogang Wu 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 Xiaogang Wu. Xiaogang Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 13 | |
| 6 | 2 | |
| 7 | 25 | |
| 8 | 3 | |
| 9 | 39 | |
| 10 | 15 | |
| 11 | 1 | |
| 12 | 8 | |
| 13 | 20 | |
| 14 | 3 | |
| 15 | 57 | |
| 16 | 45 | |
| 17 | [Trends on the changing prevalence in patients with early syphilis and HIV infection among men who having sex with men in Nanjing, from 2008 to 2013]. | 3 |
| 18 | 20 | |
| 19 | 18 | |
| 20 | 101 |
About Xiaogang Wu
Xiaogang Wu is a scholar working on Computational Theory and Mathematics, Pollution and Molecular Biology, having authored 98 papers that have together received 1.7k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (20 papers), Computational Drug Discovery Methods (18 papers) and Microbial Community Ecology and Physiology (10 papers). The work is most often cited by research in Cancer Research (284 citations), Toxicology (56 citations) and Computational Theory and Mathematics (216 citations). Xiaogang Wu has collaborated with scholars based in United States, China and Pakistan. Frequent co-authors include Jake Y. Chen, Hanping Hu, Baoliang Zhang, Liang‐Chin Huang, Mohammad Al Hasan, Jian Gu, Kai Wang, Taek‐Kyun Kim, Gary E. Swan and Mariza de Andrade. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Journal of Clinical Oncology.
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.