Ying Xia

1.2k citations
38 papers · 840 · h-index 18

Impact in

  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Intracerebral and Subarachnoid Hemorrhage Research
    • Neurological Disease Mechanisms and Treatments
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Intracerebral and Subarachnoid Hemorrhage Research 7
    • Neuroinflammation and Neurodegeneration Mechanisms 4
    • Barrier Structure and Function Studies 3

Ying Xia

36 papers receiving 829 citations

Peers

Ying Xia
Comparison fields: 5 of 124
  • Neurology 139
  • Cancer Research 128
  • Neurology 112
  • Health, Toxicology and Mutagenesis 88
  • Molecular Medicine 31
Replace Sohail Ejaz with:
Sohail Ejaz South Korea
Yihao Zhu China
Yunzi Li China
Shoei Yn Lin‐Shiau Taiwan
Yue‐Ming Jiang China
Dongling Liu China
Cheng Gao China
Mohammad Waseem India
Cheng‐Tien Wu Taiwan
Wanwei Li China
Ying Xia relative to Sohail Ejaz South Korea Sohail Ejaz's profile →
Citations per field
00.5×6.2×
Sohail Ejaz · 1×
Citations per year

Countries citing papers authored by Ying Xia

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ying Xia Line = papers co-authored together Ying Xia links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018101
2 201984
3 201956
4 200250
5 201546
6 201543
7 202037
8 201436
9 201935
10 200034
11 201532
12 201629
13 200925
14 200825
15 202124
16 201124
17 202123
18 202418
19 202015
20
Tea polyphenols prevent lung from preneoplastic lesions and effect p53 and bcl-2 gene expression in rat lung tissues.
201313

About Ying Xia

Ying Xia is a scholar working on Molecular Biology, Neurology, Neurology, Cancer Research and Health, Toxicology and Mutagenesis, having authored 38 papers that have together received 840 indexed citations. Recurring topics across this work include Intracerebral and Subarachnoid Hemorrhage Research (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), Barrier Structure and Function Studies (3 papers), Cancer, Stress, Anesthesia, and Immune Response (2 papers), Tea Polyphenols and Effects (2 papers), Cancer-related Molecular Pathways (2 papers) and Energy and Environment Impacts (2 papers). The work is most often cited by research in Neurology (139 citations), Cancer Research (128 citations), Neurology (112 citations), Health, Toxicology and Mutagenesis (88 citations) and Molecular Medicine (31 citations). Ying Xia has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Jiping Tang, John H. Zhang, Bing Shang, Prativa Sherchan, Yue Dai, Yufeng Xia, Zhifeng Wei, Lianhua Zhao, Shengpan Chen and Qi Lv. Their work appears in journals such as Neurochemical Research, British Journal of Pharmacology, Journal of Neuroinflammation, Experimental Neurology and Journal of Molecular and Cellular Cardiology.

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.

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