Xiaorui Su
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- Computational Drug Discovery Methods 21
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- Bioinformatics and Genomic Networks 10
- RNA modifications and cancer 5
- Circular RNAs in diseases 4
- Machine Learning in Bioinformatics 3
- Co-authors
- Bo-Wei Zhao (35 shared papers)Lun Hu (30 shared papers)Zhu‐Hong You (27 shared papers)Hu Peng-Wei (24 shared papers)Lei Wang (11 shared papers)Leon Wong (7 shared papers)Yue Yang (10 shared papers)Guodong Li (12 shared papers)
- Journals
- IEEE Journal of Biomedical and Health Informatics (7 papers)Briefings in Bioinformatics (6 papers)BMC Bioinformatics (4 papers)Communications Biology (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Xiaorui Su
48 papers receiving 1.3k citations
Xiaorui Su's Hit Papers
Peers
Comparison fields: 5 of 82
- Computational Theory and Mathematics 712
- Cancer Research 94
- Health Informatics 16
- Molecular Biology 414
- Computational Mathematics 4
Countries citing papers authored by Xiaorui Su
This map shows the geographic impact of Xiaorui Su'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 Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaorui Su more than expected).
Fields of papers citing papers by Xiaorui Su
This network shows the impact of papers produced by Xiaorui Su. 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 Su. The network helps show where Xiaorui Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaorui Su, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 131 | |
| 2 | 2022 | 104 | |
| 3 | 2022 | 91 | |
| 4 | 2022 | 84 | |
| 5 | 2023 | 81 | |
| 6 | 2023 | 79 | |
| 7 | 2023 | 72 | |
| 8 | 2021 | 70 | |
| 9 | Regulation-aware graph learning for drug repositioning over heterogeneous biological network Hit paper breakdown → | 2024 | 61 |
| 10 | 2024 | 49 | |
| 11 | 2022 | 46 | |
| 12 | Interpretable identification of cancer genes across biological networks via transformer-powered graph representation learning Hit paper breakdown → | 2025 | 46 |
| 13 | 2022 | 42 | |
| 14 | 2024 | 39 | |
| 15 | 2024 | 35 | |
| 16 | 2021 | 32 | |
| 17 | 2024 | 30 | |
| 18 | 2022 | 28 | |
| 19 | 2025 | 21 | |
| 20 | 2022 | 19 |
About Xiaorui Su
Xiaorui Su is a scholar working on Computational Theory and Mathematics, Molecular Biology, Cancer Research, Artificial Intelligence and Emergency Medicine, having authored 49 papers that have together received 1.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (21 papers), Bioinformatics and Genomic Networks (10 papers), RNA modifications and cancer (5 papers), Circular RNAs in diseases (4 papers), MicroRNA in disease regulation (3 papers), Advanced Graph Neural Networks (3 papers), Machine Learning in Bioinformatics (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Computational Theory and Mathematics (712 citations), Cancer Research (94 citations), Health Informatics (16 citations), Molecular Biology (414 citations) and Computational Mathematics (4 citations). Xiaorui Su has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Bo-Wei Zhao, Lun Hu, Zhu‐Hong You, Hu Peng-Wei, Lei Wang, Leon Wong, Yue Yang, Guodong Li, Lei Wang and Yu‐An Huang. Their work appears in journals such as IEEE Journal of Biomedical and Health Informatics, Briefings in Bioinformatics, BMC Bioinformatics, Communications Biology and IEEE Transactions on Knowledge and Data Engineering.
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.