Xiaoying Ma
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Circular RNAs in diseases
- Inflammasome and immune disorders
- RNA modifications and cancer
Papers in
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- RNA Research and Splicing 5
- RNA modifications and cancer 5
- Advanced biosensing and bioanalysis techniques 4
- Co-authors
- Jin‐Tai Yu (8 shared papers)Lan Tan (8 shared papers)Jianwen Liu (8 shared papers)Xin Liang (8 shared papers)Qiu‐Yan Liu (6 shared papers)Hui-Fu Wang (6 shared papers)Haiping Xu (3 shared papers)Chen Yang (1 shared paper)
- Journals
- Neurobiology of Aging (3 papers)PLoS ONE (2 papers)International Journal of Biological Macromolecules (2 papers)Molecular Immunology (2 papers)Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Xiaoying Ma
104 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 124
- Cancer Research 174
- Molecular Biology 577
- Nephrology 41
- Physiology 147
- Biological Psychiatry 14
Countries citing papers authored by Xiaoying Ma
This map shows the geographic impact of Xiaoying Ma'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 Xiaoying Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoying Ma more than expected).
Fields of papers citing papers by Xiaoying Ma
This network shows the impact of papers produced by Xiaoying Ma. 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 Xiaoying Ma. The network helps show where Xiaoying Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoying Ma, 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 110 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 80 | |
| 2 | 2015 | 77 | |
| 3 | 2013 | 59 | |
| 4 | 2021 | 50 | |
| 5 | 2012 | 48 | |
| 6 | 2022 | 46 | |
| 7 | 2021 | 38 | |
| 8 | 2016 | 38 | |
| 9 | 2020 | 34 | |
| 10 | 2015 | 32 | |
| 11 | 2013 | 30 | |
| 12 | 2020 | 29 | |
| 13 | 2013 | 29 | |
| 14 | 2023 | 28 | |
| 15 | 2022 | 26 | |
| 16 | 2019 | 24 | |
| 17 | 2017 | 23 | |
| 18 | 2012 | 23 | |
| 19 | 2021 | 21 | |
| 20 | 2021 | 21 |
About Xiaoying Ma
Xiaoying Ma is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Physiology and Surgery, having authored 110 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), Alzheimer's disease research and treatments (6 papers), RNA Research and Splicing (5 papers), MicroRNA in disease regulation (5 papers), RNA modifications and cancer (5 papers), Molecular Sensors and Ion Detection (5 papers), Plant Surface Properties and Treatments (4 papers) and Advanced biosensing and bioanalysis techniques (4 papers). The work is most often cited by research in Cancer Research (174 citations), Molecular Biology (577 citations), Nephrology (41 citations), Physiology (147 citations) and Biological Psychiatry (14 citations). Xiaoying Ma has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jin‐Tai Yu, Lan Tan, Jianwen Liu, Xin Liang, Qiu‐Yan Liu, Hui-Fu Wang, Haiping Xu, Chen Yang, Xiufeng Zhang and Lei Shi. Their work appears in journals such as Neurobiology of Aging, PLoS ONE, International Journal of Biological Macromolecules, Molecular Immunology and Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy.
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.