Ying Xia
Impact in
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- Hippo pathway signaling and YAP/TAZ
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Circular RNAs in diseases 5
- Extracellular vesicles in disease 3
- RNA and protein synthesis mechanisms 2
- Single-cell and spatial transcriptomics 1
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- MicroRNA in disease regulation 6
- Cancer-related molecular mechanisms research 3
- Co-authors
- Michael J. Siciliano (2 shared papers)Richard Baer (2 shared papers)Xuan Wang (1 shared paper)Michelle M. Le Beau (1 shared paper)R Espinosa (1 shared paper)J. Lesley Brown (1 shared paper)E Bai (1 shared paper)Guihua Jin (1 shared paper)
- Journals
- BioScience Trends (4 papers)Neurochemical Research (2 papers)Molecular Neurobiology (2 papers)Frontiers in Aging Neuroscience (1 paper)Cell Transplantation (1 paper)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Ying Xia
18 papers receiving 427 citations
Peers
Comparison fields: 5 of 59
- Cell Biology 95
- Cancer Research 82
- Hematology 60
- Molecular Biology 285
- Neurology 31
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
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 147 | |
| 2 | 2014 | 106 | |
| 3 | 2023 | 39 | |
| 4 | 2016 | 38 | |
| 5 | 2017 | 19 | |
| 6 | 2021 | 15 | |
| 7 | 1992 | 12 | |
| 8 | 2023 | 11 | |
| 9 | 2024 | 9 | |
| 10 | 2024 | 8 | |
| 11 | 2011 | 8 | |
| 12 | 2025 | 6 | |
| 13 | 2025 | 6 | |
| 14 | 2023 | 5 | |
| 15 | 2025 | 2 | |
| 16 | 2024 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2026 | 0 | |
| 20 | 2025 | 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 20 papers that have together received 434 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Circular RNAs in diseases (5 papers), Cancer-related molecular mechanisms research (3 papers), Extracellular vesicles in disease (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), RNA and protein synthesis mechanisms (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Cell Biology (95 citations), Cancer Research (82 citations), Hematology (60 citations), Molecular Biology (285 citations) and Neurology (31 citations). Ying Xia has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Michael J. Siciliano, Richard Baer, Xuan Wang, Michelle M. Le Beau, R Espinosa, J. Lesley Brown, E Bai, Guihua Jin, Qing Zhu and Meng Li. Their work appears in journals such as BioScience Trends, Neurochemical Research, Molecular Neurobiology, Frontiers in Aging Neuroscience and Cell Transplantation.
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.