Yang Xiao-ya

400 citations
16 papers · 302 · h-index 9

Impact in

    • Nanoparticles: synthesis and applications
    • Advanced Nanomaterials in Catalysis
    • Microplastics and Plastic Pollution
    • Heavy metals in environment

Papers in

Yang Xiao-ya

14 papers receiving 300 citations

Peers

Yang Xiao-ya
Comparison fields: 5 of 79
  • Materials Chemistry 178
  • Pollution 41
  • Health, Toxicology and Mutagenesis 34
  • Electrochemistry 15
  • Sensory Systems 11
Replace Zhan Ban with:
Zhan Ban China
Q. Rahman India
Frédéric Bérenguer France
Juan C. Caraballo United States
Jeffrey A. Dill United States
Sinbad Sweeney United Kingdom
Kevin Chipman United Kingdom
Tara Lyons‐Darden United States
Sarah Valentino France
Yang Xiao-ya relative to Zhan Ban China Zhan Ban's profile →
Citations per field
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Citations per year

Countries citing papers authored by Yang Xiao-ya

Since Specialization
Citations

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

Fields of papers citing papers by Yang Xiao-ya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yang Xiao-ya. 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 Yang Xiao-ya. The network helps show where Yang Xiao-ya may publish in the future.

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201558
2 201555
3 201653
4 201538
5 201834
6 201716
7 201413
8 201811
9 201910
10 20214
11 20254
12 20204
13
Effects of extraction conditions on topsoil dissolved organic carbon concentration of black soil
20131
14 20201
15 20240
16 20250

About Yang Xiao-ya

Yang Xiao-ya is a scholar working on Molecular Biology, Materials Chemistry, Surgery, Oncology and Artificial Intelligence, having authored 16 papers that have together received 302 indexed citations. Recurring topics across this work include Nanoparticles: synthesis and applications (4 papers), Ion channel regulation and function (3 papers), Reinforcement Learning in Robotics (2 papers), Healthcare and Environmental Waste Management (2 papers), Hydrogen's biological and therapeutic effects (1 paper), Colorectal Cancer Treatments and Studies (1 paper), Child Nutrition and Feeding Issues (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Materials Chemistry (178 citations), Pollution (41 citations), Health, Toxicology and Mutagenesis (34 citations), Electrochemistry (15 citations) and Sensory Systems (11 citations). Yang Xiao-ya has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Jingfu Liu, Yongguang Yin, Mohai Shen, Xiaoxia Zhou, Guibin Jiang, Jingbo Chao, Rui Liu, Zhen Zhang, Weidong Wang and Sujuan Yu. Their work appears in journals such as Journal of Environmental Sciences, Scientific Reports, Frontiers in Pediatrics, Frontiers in Immunology and Biochemical Journal.

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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