Xiaorui Su
Impact in
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- Computational Drug Discovery Methods
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks
- Machine Learning in Bioinformatics
- Biomedical Text Mining and Ontologies
- Protein Structure and Dynamics
Papers in
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- Bioinformatics and Genomic Networks 18
- Machine Learning in Bioinformatics 11
- RNA modifications and cancer 8
- RNA and protein synthesis mechanisms 5
- Circular RNAs in diseases 4
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- Computational Drug Discovery Methods 19
- Co-authors
- Bo-Wei Zhao (30 shared papers)Lun Hu (28 shared papers)Zhu‐Hong You (20 shared papers)Pengwei Hu (22 shared papers)Lei Wang (9 shared papers)Leon Wong (6 shared papers)Yue Yang (10 shared papers)Guodong Li (12 shared papers)
- Journals
- IEEE Journal of Biomedical and Health Informatics (6 papers)Briefings in Bioinformatics (6 papers)BMC Bioinformatics (4 papers)Information Sciences (1 paper)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Xiaorui Su
40 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 103
- Computational Theory and Mathematics 549
- Molecular Biology 769
- Cancer Research 144
- Health Informatics 7
- Computational Mathematics 3
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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 112 | |
| 2 | 2022 | 82 | |
| 3 | 2022 | 75 | |
| 4 | 2023 | 70 | |
| 5 | 2022 | 70 | |
| 6 | 2023 | 67 | |
| 7 | 2023 | 63 | |
| 8 | 2021 | 62 | |
| 9 | 2024 | 46 | |
| 10 | 2022 | 40 | |
| 11 | 2024 | 39 | |
| 12 | 2022 | 35 | |
| 13 | 2024 | 28 | |
| 14 | 2022 | 26 | |
| 15 | 2021 | 23 | |
| 16 | 2024 | 22 | |
| 17 | 2024 | 21 | |
| 18 | 2022 | 17 | |
| 19 | 2025 | 17 | |
| 20 | 2022 | 16 |
About Xiaorui Su
Xiaorui Su is a scholar working on Molecular Biology, Computational Theory and Mathematics, Cancer Research, Statistical and Nonlinear Physics and Epidemiology, having authored 43 papers that have together received 1.0k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (19 papers), Bioinformatics and Genomic Networks (18 papers), Cancer-related molecular mechanisms research (12 papers), Machine Learning in Bioinformatics (11 papers), RNA modifications and cancer (8 papers), MicroRNA in disease regulation (6 papers), RNA and protein synthesis mechanisms (5 papers) and Circular RNAs in diseases (4 papers). The work is most often cited by research in Computational Theory and Mathematics (549 citations), Molecular Biology (769 citations), Cancer Research (144 citations), Health Informatics (7 citations) and Computational Mathematics (3 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, Pengwei Hu, 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, Information Sciences and Scientific Reports.
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.