Xiaorui Wang
Impact in
-
- Computational Drug Discovery Methods
-
- Protein Structure and Dynamics
- Chemical Synthesis and Analysis
- RNA and protein synthesis mechanisms
Papers in
-
- Protein Structure and Dynamics 10
- Chemical Synthesis and Analysis 5
- RNA and protein synthesis mechanisms 3
- Bioinformatics and Genomic Networks 2
- Machine Learning in Bioinformatics 2
-
- Computational Drug Discovery Methods 15
- Co-authors
- Tingjun Hou (22 shared papers)Chang‐Yu Hsieh (16 shared papers)Jike Wang (12 shared papers)Dejun Jiang (11 shared papers)Yafeng Deng (9 shared papers)Huifeng Zhao (7 shared papers)Hanqing Feng (1 shared paper)Odin Zhang (9 shared papers)
- Journals
- Journal of Chemical Information and Modeling (6 papers)Nature Communications (5 papers)Briefings in Bioinformatics (2 papers)Nature Machine Intelligence (2 papers)Nature Computational Science (2 papers)
- Partner nations
- ChinaMacaoUnited States
In The Last Decade
Xiaorui Wang
27 papers receiving 355 citations
Peers
Comparison fields: 5 of 81
- Computational Theory and Mathematics 112
- Molecular Biology 141
- Materials Chemistry 74
- Infectious Diseases 24
- Biophysics 6
Countries citing papers authored by Xiaorui Wang
This map shows the geographic impact of Xiaorui 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 Xiaorui Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaorui Wang more than expected).
Fields of papers citing papers by Xiaorui Wang
This network shows the impact of papers produced by Xiaorui 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 Xiaorui Wang. The network helps show where Xiaorui Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaorui 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 44 | |
| 2 | 2020 | 43 | |
| 3 | 2023 | 38 | |
| 4 | 2024 | 26 | |
| 5 | 2023 | 25 | |
| 6 | 2024 | 21 | |
| 7 | 2023 | 19 | |
| 8 | 2022 | 19 | |
| 9 | 2024 | 17 | |
| 10 | 2024 | 14 | |
| 11 | 2025 | 13 | |
| 12 | 2022 | 12 | |
| 13 | 2023 | 12 | |
| 14 | 2023 | 11 | |
| 15 | 2024 | 11 | |
| 16 | 2025 | 7 | |
| 17 | 2023 | 7 | |
| 18 | 2024 | 6 | |
| 19 | 2024 | 4 | |
| 20 | 2025 | 3 |
About Xiaorui Wang
Xiaorui Wang is a scholar working on Molecular Biology, Computational Theory and Mathematics, Materials Chemistry, Organic Chemistry and Pharmacology, having authored 30 papers that have together received 361 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (15 papers), Protein Structure and Dynamics (10 papers), Machine Learning in Materials Science (7 papers), Chemical Synthesis and Analysis (5 papers), Click Chemistry and Applications (3 papers), RNA and protein synthesis mechanisms (3 papers), Bioinformatics and Genomic Networks (2 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Computational Theory and Mathematics (112 citations), Molecular Biology (141 citations), Materials Chemistry (74 citations), Infectious Diseases (24 citations) and Biophysics (6 citations). Xiaorui Wang has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Tingjun Hou, Chang‐Yu Hsieh, Jike Wang, Dejun Jiang, Yafeng Deng, Huifeng Zhao, Hanqing Feng, Odin Zhang, Yu Kang and Hongyan Du. Their work appears in journals such as Journal of Chemical Information and Modeling, Nature Communications, Briefings in Bioinformatics, Nature Machine Intelligence and Nature Computational Science.
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.