Ming Xi
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Research and Splicing
- Extracellular vesicles in disease
Papers in ⓘ
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- MicroRNA in disease regulation 6
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- Circular RNAs in diseases 8
- RNA Research and Splicing 5
- Ubiquitin and proteasome pathways 2
- Co-authors
- Yi Xiao (6 shared papers)Jiaying Wu (5 shared papers)Yueping Wan (6 shared papers)Weide Zhong (6 shared papers)Yuanling Liu (4 shared papers)Yulin Zhou (4 shared papers)Wei Hua (4 shared papers)Wan Song (4 shared papers)
- Journals
- Hematological Oncology (3 papers)Bioscience Reports (1 paper)International Journal of Biological Macromolecules (1 paper)Functional & Integrative Genomics (1 paper)BMC Cancer (1 paper)
- Partner nations
- ChinaMacaoUnited States
In The Last Decade
Ming Xi
24 papers receiving 363 citations
Peers
Comparison fields: 5 of 60
- Cancer Research 224
- Molecular Biology 257
- Pharmacology 31
- Pulmonary and Respiratory Medicine 48
- Hematology 12
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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 63 | |
| 2 | 2021 | 47 | |
| 3 | 2015 | 32 | |
| 4 | 2020 | 30 | |
| 5 | 2019 | 25 | |
| 6 | 2021 | 21 | |
| 7 | 2020 | 20 | |
| 8 | 2017 | 20 | |
| 9 | 2020 | 18 | |
| 10 | 2022 | 17 | |
| 11 | 2023 | 12 | |
| 12 | 2022 | 10 | |
| 13 | 2020 | 9 | |
| 14 | 2025 | 8 | |
| 15 | 2022 | 6 | |
| 16 | 2024 | 5 | |
| 17 | 2025 | 5 | |
| 18 | 2024 | 3 | |
| 19 | [Incidence of depression and its related factors in cryptorchidism patients after surgical treatment]. | 2015 | 3 |
| 20 | 2025 | 3 |
About Ming Xi
Ming Xi is a scholar working on Cancer Research, Molecular Biology, Immunology, Pulmonary and Respiratory Medicine and Pharmacology, having authored 25 papers that have together received 364 indexed citations. Recurring topics across this work include Circular RNAs in diseases (8 papers), MicroRNA in disease regulation (6 papers), RNA Research and Splicing (5 papers), Prostate Cancer Treatment and Research (4 papers), Asthma and respiratory diseases (3 papers), Ubiquitin and proteasome pathways (2 papers), Chronic Kidney Disease and Diabetes (1 paper) and Nanoplatforms for cancer theranostics (1 paper). The work is most often cited by research in Cancer Research (224 citations), Molecular Biology (257 citations), Pharmacology (31 citations), Pulmonary and Respiratory Medicine (48 citations) and Hematology (12 citations). Ming Xi has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Yi Xiao, Jiaying Wu, Yueping Wan, Weide Zhong, Yuanling Liu, Yulin Zhou, Wei Hua, Wan Song, Di Wang and Jinhuan Xu. Their work appears in journals such as Hematological Oncology, Bioscience Reports, International Journal of Biological Macromolecules, Functional & Integrative Genomics and BMC Cancer.
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.