Ying Xia
- Cellular and Molecular Neuroscience top 0.5%
- Neuroscience and Neuropharmacology Research 48
- Neuropeptides and Animal Physiology 21
- Developmental Neuroscience top 1%
- Neurology top 1%
- Neuroinflammation and Neurodegeneration Mechanisms 13
- Parkinson's Disease Mechanisms and Treatments 12
- Genetics top 1%
- Mesenchymal stem cell research 13
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- Ion channel regulation and function 24
- Pharmacological Receptor Mechanisms and Effects 15
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- Acupuncture Treatment Research Studies 16
- Co-authors
- Gabriel G. HaddadNikolaos G. FrangogiannisDongman ChaoPeng ZhaoYilin YangJunhui ZhangKenneth BanasiakMarcin Dobaczewski
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Ying Xia
315 papers receiving 11.2k citations
Hit Papers
Peers
Comparison fields: 5 of 189
- Cellular and Molecular Neuroscience 2.1k
- Developmental Neuroscience 408
- Neurology 768
- Genetics 976
- Endocrine and Autonomic Systems 464
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-authorship network
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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 2 | |
| 5 | 2025 | 5 | |
| 6 | 2024 | 8 | |
| 7 | 2024 | 6 | |
| 8 | 2024 | 5 | |
| 9 | 2024 | 5 | |
| 10 | 2023 | 0 | |
| 11 | 2022 | 20 | |
| 12 | 2022 | 2 | |
| 13 | 2020 | 5 | |
| 14 | 2019 | 9 | |
| 15 | 2018 | 22 | |
| 16 | 2018 | 56 | |
| 17 | 2018 | 64 | |
| 18 | 2014 | 27 | |
| 19 | 2011 | 62 | |
| 20 | Products of the TAL2 oncogene in leukemic T cells: bHLH phosphoproteins with DNA-binding activity. | 1994 | 26 |
About Ying Xia
Ying Xia is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Neurology, having authored 337 papers that have together received 11.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (48 papers), Ion channel regulation and function (24 papers), Neuropeptides and Animal Physiology (21 papers), Acupuncture Treatment Research Studies (16 papers), Pharmacological Receptor Mechanisms and Effects (15 papers), Neuroinflammation and Neurodegeneration Mechanisms (13 papers), Mesenchymal stem cell research (13 papers) and Parkinson's Disease Mechanisms and Treatments (12 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.1k citations), Developmental Neuroscience (408 citations) and Neurology (768 citations). Ying Xia has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Gabriel G. Haddad, Nikolaos G. Frangogiannis, Dongman Chao, Peng Zhao, Yilin Yang, Junhui Zhang, Kenneth Banasiak, Marcin Dobaczewski, Carlos Gonzalez‐Quesada and Gabriel G. Haddad. Their work appears in journals such as Scientific Reports, Brain Research, Molecular Neurobiology, Evidence-based Complementary and Alternative Medicine and International Journal of Molecular Sciences.
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.