Ming Xi
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Lipids, and Metabolism
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- Circular RNAs in diseases
- Extracellular vesicles in disease
- RNA Research and Splicing
Papers in
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- MicroRNA in disease regulation 3
- Cancer Genomics and Diagnostics 1
-
- Circular RNAs in diseases 8
- RNA Research and Splicing 2
- Ubiquitin and proteasome pathways 2
- Co-authors
- Yi Xiao (6 shared papers)Jiaying Wu (5 shared papers)Weide Zhong (6 shared papers)Yueping Wan (6 shared papers)Jinhuan Xu (1 shared paper)Wan Song (4 shared papers)Wei Hua (4 shared papers)Yuanling Liu (4 shared papers)
- Journals
- Hematological Oncology (3 papers)BMJ Open (1 paper)Bioscience Reports (1 paper)International Journal of Molecular Medicine (1 paper)International Journal of Biological Macromolecules (1 paper)
- Partner nations
- ChinaMacaoUnited States
In The Last Decade
Ming Xi
24 papers receiving 420 citations
Peers
Comparison fields: 5 of 59
- Cancer Research 189
- Molecular Biology 241
- Pharmacology 30
- Pulmonary and Respiratory Medicine 44
- Immunology and Allergy 6
Countries citing papers authored by Ming Xi
This map shows the geographic impact of Ming 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 Ming Xi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Xi more than expected).
Fields of papers citing papers by Ming Xi
This network shows the impact of papers produced by Ming 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 Ming Xi. The network helps show where Ming Xi may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 64 | |
| 2 | 2021 | 51 | |
| 3 | 2015 | 33 | |
| 4 | 2020 | 31 | |
| 5 | 2019 | 28 | |
| 6 | 2020 | 21 | |
| 7 | 2021 | 21 | |
| 8 | 2017 | 20 | |
| 9 | 2020 | 20 | |
| 10 | 2025 | 18 | |
| 11 | 2023 | 17 | |
| 12 | 2022 | 17 | |
| 13 | 2025 | 14 | |
| 14 | 2022 | 12 | |
| 15 | 2025 | 12 | |
| 16 | 2020 | 11 | |
| 17 | 2022 | 6 | |
| 18 | 2024 | 6 | |
| 19 | 2025 | 5 | |
| 20 | 2024 | 5 |
About Ming Xi
Ming Xi is a scholar working on Cancer Research, Molecular Biology, Pulmonary and Respiratory Medicine, Immunology and Pharmacology, having authored 26 papers that have together received 423 indexed citations. Recurring topics across this work include Circular RNAs in diseases (8 papers), MicroRNA in disease regulation (3 papers), Asthma and respiratory diseases (2 papers), RNA Research and Splicing (2 papers), Ubiquitin and proteasome pathways (2 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (1 paper), Cancer Genomics and Diagnostics (1 paper) and Kidney Stones and Urolithiasis Treatments (1 paper). The work is most often cited by research in Cancer Research (189 citations), Molecular Biology (241 citations), Pharmacology (30 citations), Pulmonary and Respiratory Medicine (44 citations) and Immunology and Allergy (6 citations). Ming Xi has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Yi Xiao, Jiaying Wu, Weide Zhong, Yueping Wan, Jinhuan Xu, Wan Song, Wei Hua, Yuanling Liu, Di Wang and Yulin Zhou. Their work appears in journals such as Hematological Oncology, BMJ Open, Bioscience Reports, International Journal of Molecular Medicine and International Journal of Biological Macromolecules.
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.