Yang Xi
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
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- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Research and Splicing
- Epigenetics and DNA Methylation
Papers in
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- Cancer-related molecular mechanisms research 11
- MicroRNA in disease regulation 4
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- Circular RNAs in diseases 3
- Epigenetics and DNA Methylation 3
- RNA modifications and cancer 3
- RNA Research and Splicing 3
- Metabolism, Diabetes, and Cancer 2
- Co-authors
- Junming Guo (4 shared papers)Tian Xia (3 shared papers)Bingxiu Xiao (3 shared papers)Qi Liao (2 shared papers)Xiaoming Jiang (1 shared paper)Yongfu Shao (1 shared paper)Haojun Song (2 shared papers)Shizhong Bu (12 shared papers)
- Journals
- Tumor Biology (2 papers)Gene (2 papers)Journal of Clinical Laboratory Analysis (2 papers)Cancer Science (1 paper)Bioinformatics (1 paper)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Yang Xi
31 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 86
- Cancer Research 696
- Molecular Biology 684
- Oncology 65
- Epidemiology 70
- Immunology 40
Countries citing papers authored by Yang Xi
This map shows the geographic impact of Yang Xi'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 Yang Xi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Xi more than expected).
Fields of papers citing papers by Yang Xi
This network shows the impact of papers produced by Yang Xi. 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 Yang Xi. The network helps show where Yang Xi may publish in the future.
Co-authors
The 25 scholars most cited alongside Yang Xi, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 343 | |
| 2 | 2013 | 199 | |
| 3 | 2013 | 87 | |
| 4 | 2019 | 46 | |
| 5 | 2016 | 45 | |
| 6 | 2015 | 42 | |
| 7 | 2018 | 35 | |
| 8 | 2016 | 31 | |
| 9 | 2017 | 26 | |
| 10 | 2023 | 25 | |
| 11 | 2018 | 22 | |
| 12 | 2025 | 19 | |
| 13 | 2018 | 17 | |
| 14 | 2012 | 16 | |
| 15 | 2021 | 13 | |
| 16 | 2020 | 10 | |
| 17 | 2011 | 10 | |
| 18 | 2018 | 9 | |
| 19 | 2017 | 9 | |
| 20 | 2022 | 9 |
About Yang Xi
Yang Xi is a scholar working on Cancer Research, Molecular Biology, Immunology, Oncology and Epidemiology, having authored 33 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (11 papers), MicroRNA in disease regulation (4 papers), Circular RNAs in diseases (3 papers), Epigenetics and DNA Methylation (3 papers), RNA modifications and cancer (3 papers), RNA Research and Splicing (3 papers), Metabolism, Diabetes, and Cancer (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Cancer Research (696 citations), Molecular Biology (684 citations), Oncology (65 citations), Epidemiology (70 citations) and Immunology (40 citations). Yang Xi has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Junming Guo, Tian Xia, Bingxiu Xiao, Qi Liao, Xiaoming Jiang, Yongfu Shao, Haojun Song, Shizhong Bu, Sijie Zhang and Zhong Y. Liu. Their work appears in journals such as Tumor Biology, Gene, Journal of Clinical Laboratory Analysis, Cancer Science and Bioinformatics.
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.