Yating Wu

471 citations
33 papers · 332 · h-index 10

Impact in

    • Neuroinflammation and Neurodegeneration Mechanisms
    • Vagus Nerve Stimulation Research
    • Antioxidant Activity and Oxidative Stress

Papers in

Yating Wu

25 papers receiving 329 citations

Peers

Yating Wu
Comparison fields: 5 of 98
  • Neurology 37
  • Biochemistry 26
  • Geriatrics and Gerontology 8
  • Pollution 29
  • Aging 3
Replace Tanzeel Ahmed with:
Tanzeel Ahmed India
G Kavitha India
Stefania Catino Italy
Özlem Tuğçe Çilingir‐Kaya Türkiye
Xu Cao China
Kaneez Fatima Shad Australia
Abdul‐Razak Masoud United States
Peng Ren China
Qingfeng Zhai China
Lucrezia Irene Maria Campagnoli Italy
Yating Wu relative to Tanzeel Ahmed India Tanzeel Ahmed's profile →
Citations per field
00.5×1.5×2.1×
Tanzeel Ahmed · 1×
Citations per year

Countries citing papers authored by Yating Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yating Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201767
2 202230
3 202030
4 202229
5 202124
6 202120
7 202119
8 202216
9 202314
10 202111
11 20209
12 20208
13 20177
14 20217
15 20216
16 20235
17 20145
18 20245
19 20224
20 20234

About Yating Wu

Yating Wu is a scholar working on Molecular Biology, Neurology, Pharmacology, Organic Chemistry and Cellular and Molecular Neuroscience, having authored 33 papers that have together received 332 indexed citations. Recurring topics across this work include Cerebral Venous Sinus Thrombosis (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Microbial Fuel Cells and Bioremediation (2 papers), Wastewater Treatment and Nitrogen Removal (2 papers), Pharmacological Effects of Natural Compounds (2 papers), Ion channel regulation and function (2 papers), Microbial Community Ecology and Physiology (2 papers) and Wind Turbine Control Systems (1 paper). The work is most often cited by research in Neurology (37 citations), Biochemistry (26 citations), Geriatrics and Gerontology (8 citations), Pollution (29 citations) and Aging (3 citations). Yating Wu has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Aihua Liu, Yuping Wang, Hailiang Liu, Haifeng Liu, Penghui He, Shouwen Chen, Meng Jiang, Qingxi Li, Xiaomin Wu and Aihua Liu. Their work appears in journals such as Aging, Chemical Engineering Journal, BMC Pregnancy and Childbirth, Diagnostic and Interventional Imaging and Energy storage materials.

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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