Ying Xia
Impact in
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- Hippo pathway signaling and YAP/TAZ
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- Circular RNAs in diseases 5
- Extracellular vesicles in disease 3
- RNA and protein synthesis mechanisms 2
- DNA Repair Mechanisms 1
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- MicroRNA in disease regulation 6
- Cancer-related molecular mechanisms research 3
- Co-authors
- Xuan Wang (1 shared paper)Richard Baer (2 shared papers)Michael J. Siciliano (2 shared papers)R Espinosa (1 shared paper)Michelle M. Le Beau (1 shared paper)J. Lesley Brown (1 shared paper)Jun Peng (5 shared papers)Xijing Guo (1 shared paper)
- Journals
- BioScience Trends (4 papers)Molecular Neurobiology (2 papers)Neurochemical Research (2 papers)Biochemical and Biophysical Research Communications (1 paper)Genes Chromosomes and Cancer (1 paper)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Ying Xia
19 papers receiving 453 citations
Peers
Comparison fields: 5 of 56
- Cell Biology 93
- Cancer Research 78
- Hematology 56
- Molecular Biology 265
- Neurology 30
Countries citing papers authored by Ying Xia
This map shows the geographic impact of Ying Xia'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 Ying Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Xia more than expected).
Fields of papers citing papers by Ying Xia
This network shows the impact of papers produced by Ying Xia. 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 Ying Xia. The network helps show where Ying Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying Xia, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 148 | |
| 2 | 2014 | 107 | |
| 3 | 2023 | 42 | |
| 4 | 2016 | 39 | |
| 5 | 2017 | 19 | |
| 6 | 2021 | 18 | |
| 7 | 1992 | 12 | |
| 8 | 2024 | 11 | |
| 9 | 2023 | 11 | |
| 10 | 2025 | 9 | |
| 11 | 2024 | 9 | |
| 12 | 2011 | 8 | |
| 13 | 2025 | 7 | |
| 14 | 2025 | 6 | |
| 15 | 2023 | 6 | |
| 16 | 2025 | 4 | |
| 17 | 2024 | 2 | |
| 18 | 2025 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2026 | 0 |
About Ying Xia
Ying Xia is a scholar working on Molecular Biology, Cancer Research, Cellular and Molecular Neuroscience, Neurology and Developmental Neuroscience, having authored 21 papers that have together received 460 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Circular RNAs in diseases (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Extracellular vesicles in disease (3 papers), Cancer-related molecular mechanisms research (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), RNA and protein synthesis mechanisms (2 papers) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Cell Biology (93 citations), Cancer Research (78 citations), Hematology (56 citations), Molecular Biology (265 citations) and Neurology (30 citations). Ying Xia has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Xuan Wang, Richard Baer, Michael J. Siciliano, R Espinosa, Michelle M. Le Beau, J. Lesley Brown, Jun Peng, Xijing Guo, Meng Li and Guihua Jin. Their work appears in journals such as BioScience Trends, Molecular Neurobiology, Neurochemical Research, Biochemical and Biophysical Research Communications and Genes Chromosomes and 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.