Wang Xia

457 citations
22 papers · 352 · h-index 9

Impact in

    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
    • Immune Response and Inflammation
    • Antimicrobial Peptides and Activities

Papers in

Wang Xia

21 papers receiving 350 citations

Peers

Wang Xia
Comparison fields: 5 of 88
  • Immunology 74
  • Microbiology 17
  • Infectious Diseases 49
  • Cardiology and Cardiovascular Medicine 49
  • Molecular Biology 126
Replace Wan‐Ting Liao with:
Wan‐Ting Liao Taiwan
Junmei Yang China
Deeksha Tripathi India
Julie Véziant France
Jin‐Su Jun South Korea
Yong Hoon Lee South Korea
Yen–Ju Chen Taiwan
Joseph A. Lupica United States
Kerri L. Glassner United States
Wang Xia relative to Wan‐Ting Liao Taiwan Wan‐Ting Liao's profile →
Citations per field
00.5×2×3×4.3×
Wan‐Ting Liao · 1×
Citations per year

Countries citing papers authored by Wang Xia

Since Specialization
Citations

This map shows the geographic impact of Wang 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 Wang Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wang Xia more than expected).

Fields of papers citing papers by Wang Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wang 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 Wang Xia. The network helps show where Wang Xia may publish in the future.

Co-authors

The 25 scholars most cited alongside Wang 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 Wang Xia Line = papers co-authored together Wang Xia links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013118
2 201254
3 202348
4 202118
5 202218
6 202318
7 202114
8 202013
9 202110
10 20199
11 20218
12 20236
13 20244
14 20224
15 20233
16 20162
17
The Behavioral Explanation of Volatility Asymmetry in Chinese Stock Market
20081
18
Analysis on the utilization of antimicrobials and bacterial drug resistance in our hospital in 2010
20121
19 20101
20 20241

About Wang Xia

Wang Xia is a scholar working on Modeling and Simulation, Immunology, Infectious Diseases, Public Health, Environmental and Occupational Health and Pulmonary and Respiratory Medicine, having authored 22 papers that have together received 352 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (3 papers), Epigenetics and DNA Methylation (3 papers), Viral Infections and Vectors (2 papers), Mosquito-borne diseases and control (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Influenza Virus Research Studies (2 papers), Nitric Oxide and Endothelin Effects (2 papers) and Tryptophan and brain disorders (1 paper). The work is most often cited by research in Immunology (74 citations), Microbiology (17 citations), Infectious Diseases (49 citations), Cardiology and Cardiovascular Medicine (49 citations) and Molecular Biology (126 citations). Wang Xia has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Hui‐Hua Li, Wei Cui, Yong Xia, Yulin Li, Congcong Zhang, Lei Wang, Jie Du, Jingjing Wang, Zhengtao Yang and Ershun Zhou. Their work appears in journals such as International Immunopharmacology, PLoS Computational Biology, Toxicology and Applied Pharmacology, China Finance Review International and Aquaculture.

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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