Xiaoyan Ming
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Air Quality and Health Impacts
- Climate Change and Health Impacts
Papers in
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- Melanoma and MAPK Pathways 2
- Renal and related cancers 2
- Pluripotent Stem Cells Research 2
- Oncology 4
- Cancer-related Molecular Pathways 2
- Co-authors
- Yong Jiang (3 shared papers)Peng Deng (3 shared papers)Xiaowei Gong (3 shared papers)Wei Yi (1 shared paper)Xiao Qi Wang (3 shared papers)Chung Mau Lo (3 shared papers)Sheung Tat Fan (2 shared papers)H. Xiang (1 shared paper)
In The Last Decade
Xiaoyan Ming
16 papers receiving 343 citations
Peers
Comparison fields: 5 of 78
- Cancer Research 76
- Health, Toxicology and Mutagenesis 67
- Molecular Biology 181
- Transplantation 7
- Hepatology 17
Countries citing papers authored by Xiaoyan Ming
This map shows the geographic impact of Xiaoyan Ming'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 Xiaoyan Ming with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoyan Ming more than expected).
Fields of papers citing papers by Xiaoyan Ming
This network shows the impact of papers produced by Xiaoyan Ming. 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 Xiaoyan Ming. The network helps show where Xiaoyan Ming may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoyan Ming, 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 | 2017 | 71 | |
| 2 | 2010 | 71 | |
| 3 | 2013 | 43 | |
| 4 | 2012 | 34 | |
| 5 | 2016 | 25 | |
| 6 | 2020 | 24 | |
| 7 | Long non-coding RNA NEAT1 predicts elevated chronic obstructive pulmonary disease (COPD) susceptibility and acute exacerbation risk, and correlates with higher disease severity, inflammation, and lower miR-193a in COPD patients. | 2019 | 21 |
| 8 | 2010 | 20 | |
| 9 | 2020 | 17 | |
| 10 | 2018 | 6 | |
| 11 | 2020 | 5 | |
| 12 | 2014 | 2 | |
| 13 | 2024 | 2 | |
| 14 | 2025 | 1 | |
| 15 | 2009 | 1 | |
| 16 | 2022 | 1 | |
| 17 | Application of Nutritional Risk Screening 2002,Mini Nutritional Assessment,and clinical laboratory measurements in nutrition survey of hospitalized elderly patients | 2016 | 0 |
About Xiaoyan Ming
Xiaoyan Ming is a scholar working on Molecular Biology, Oncology, Cancer Research, Physiology and Surgery, having authored 17 papers that have together received 344 indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (2 papers), Renal and related cancers (2 papers), Cancer-related molecular mechanisms research (2 papers), Cellular Mechanics and Interactions (2 papers), Cancer-related Molecular Pathways (2 papers), Air Quality and Health Impacts (2 papers), Pluripotent Stem Cells Research (2 papers) and Climate Change and Health Impacts (2 papers). The work is most often cited by research in Cancer Research (76 citations), Health, Toxicology and Mutagenesis (67 citations), Molecular Biology (181 citations), Transplantation (7 citations) and Hepatology (17 citations). Xiaoyan Ming has collaborated with scholars based in China, Hong Kong and Germany. Frequent co-authors include Yong Jiang, Peng Deng, Xiaowei Gong, Wei Yi, Xiao Qi Wang, Chung Mau Lo, Sheung Tat Fan, H. Xiang, Qing Yu and Zhe Peng. Their work appears in journals such as Scientific Reports, Journal of Cellular Biochemistry, FEBS Letters, Cell Death and Disease and Environmental Health.
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.