Wan Yang

409 citations
7 papers · 305 · h-index 6

Impact in

  • Nephrology top 2%
    • Gout, Hyperuricemia, Uric Acid
  • Pharmacology top 10%
    • Pharmacological Effects of Natural Compounds

Papers in

    • Gut microbiota and health 2
    • DNA and Nucleic Acid Chemistry 1
    • Advanced biosensing and bioanalysis techniques 1
    • Inflammasome and immune disorders 1
    • Gout, Hyperuricemia, Uric Acid 3

Wan Yang

7 papers receiving 303 citations

Peers

Wan Yang
Comparison fields: 5 of 55
  • Nephrology 204
  • Pharmacology 47
  • Pathology and Forensic Medicine 44
  • Infectious Diseases 28
  • Molecular Biology 103
Replace Shichao Xing with:
Shichao Xing China
Yuchen Li China
Ning Song China
Shraddha Prakash United States
Huijie Miao China
Lingjie Fu China
Masamichi Fukuda Japan
Yu‐Zhen Luo Taiwan
Marie Kinsey United States
Basma Mourad Egypt
Wan Yang relative to Shichao Xing China Shichao Xing's profile →
Citations per field
00.5×1.5×
Shichao Xing · 1×
Citations per year

Countries citing papers authored by Wan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Wan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 202096
2 201976
3 202068
4 202032
5 202018
6 202111
7 20194

About Wan Yang

Wan Yang is a scholar working on Molecular Biology, Nephrology, Infectious Diseases, Polymers and Plastics and Biomedical Engineering, having authored 7 papers that have together received 305 indexed citations. Recurring topics across this work include Gout, Hyperuricemia, Uric Acid (3 papers), Gut microbiota and health (2 papers), Clostridium difficile and Clostridium perfringens research (2 papers), Graphene research and applications (1 paper), Graphene and Nanomaterials Applications (1 paper), DNA and Nucleic Acid Chemistry (1 paper), Advanced biosensing and bioanalysis techniques (1 paper) and Inflammasome and immune disorders (1 paper). The work is most often cited by research in Nephrology (204 citations), Pharmacology (47 citations), Pathology and Forensic Medicine (44 citations), Infectious Diseases (28 citations) and Molecular Biology (103 citations). Wan Yang has collaborated with scholars based in China, United Kingdom and Germany. Frequent co-authors include Shichao Xing, Qiulan Lv, Daxing Xu, Xiaomin Yang, Guanpin Yang, Pengjun Wang, Guangtao Wang, Peng Zhao, Zenglan Wang and Xiu Liu. Their work appears in journals such as Journal of Applied Polymer Science, Journal of Analysis and Testing, Frontiers in Physiology, PeerJ and American Journal of Physiology-Gastrointestinal and Liver Physiology.

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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