Ruisi Xu
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Circular RNAs in diseases
- RNA modifications and cancer
- Extracellular vesicles in disease
- S100 Proteins and Annexins
Papers in
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- RNA Research and Splicing 2
- S100 Proteins and Annexins 1
- Bioinformatics and Genomic Networks 1
- Machine Learning in Bioinformatics 1
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- Cancer-related molecular mechanisms research 4
- Co-authors
- Jian Yin (4 shared papers)LI Chang-feng (2 shared papers)Meng Ding (3 shared papers)Siqi Zhang (4 shared papers)Yun Wang (1 shared paper)Bin Zhang (1 shared paper)Dandan Li (1 shared paper)Yongchao Li (1 shared paper)
- Journals
- Life Sciences (2 papers)Journal of Cellular Biochemistry (1 paper)Drug Design Development and Therapy (1 paper)Journal of Gastroenterology and Hepatology (1 paper)International Journal of Oncology (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Ruisi Xu
12 papers receiving 321 citations
Peers
Comparison fields: 5 of 56
- Cancer Research 155
- Molecular Biology 210
- Nephrology 19
- Endocrine and Autonomic Systems 11
- Pharmacology 10
Countries citing papers authored by Ruisi Xu
This map shows the geographic impact of Ruisi Xu'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 Ruisi Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruisi Xu more than expected).
Fields of papers citing papers by Ruisi Xu
This network shows the impact of papers produced by Ruisi Xu. 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 Ruisi Xu. The network helps show where Ruisi Xu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ruisi Xu, 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 | 71 | |
| 2 | 2012 | 54 | |
| 3 | 2018 | 40 | |
| 4 | 2020 | 35 | |
| 5 | 2019 | 32 | |
| 6 | 2014 | 28 | |
| 7 | 2021 | 22 | |
| 8 | 2019 | 21 | |
| 9 | 2019 | 10 | |
| 10 | 2019 | 6 | |
| 11 | 2025 | 2 | |
| 12 | 2021 | 1 | |
| 13 | 2025 | 0 |
About Ruisi Xu
Ruisi Xu is a scholar working on Molecular Biology, Cancer Research, Infectious Diseases, Nephrology and Computational Theory and Mathematics, having authored 13 papers that have together received 322 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), RNA Research and Splicing (2 papers), Biomarkers in Disease Mechanisms (1 paper), Pharmacological Effects of Natural Compounds (1 paper), S100 Proteins and Annexins (1 paper), Gout, Hyperuricemia, Uric Acid (1 paper), Bioinformatics and Genomic Networks (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Cancer Research (155 citations), Molecular Biology (210 citations), Nephrology (19 citations), Endocrine and Autonomic Systems (11 citations) and Pharmacology (10 citations). Ruisi Xu has collaborated with scholars based in China and United States. Frequent co-authors include Jian Yin, LI Chang-feng, Meng Ding, Siqi Zhang, Yun Wang, Bin Zhang, Dandan Li, Yongchao Li, Ying Zhang and Yu Hu. Their work appears in journals such as Life Sciences, Journal of Cellular Biochemistry, Drug Design Development and Therapy, Journal of Gastroenterology and Hepatology and International Journal of 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.