Yating Wu

452 citations
31 papers · 304 · h-index 10

Impact in

    • Neuroinflammation and Neurodegeneration Mechanisms
    • Antioxidant Activity and Oxidative Stress

Papers in

Yating Wu

24 papers receiving 301 citations

Peers

Yating Wu
Comparison fields: 5 of 106
  • Neurology 40
  • Biochemistry 25
  • Pollution 28
  • Aging 4
  • Clinical Biochemistry 14
Replace Moslem Abolhassani with:
Moslem Abolhassani Iran
Youngja H. Park South Korea
Tanzeel Ahmed India
Agustina Cano-Martı́nez Mexico
Mega Obukohwo Oyovwi Nigeria
Mohamed El‐Gamal Egypt
Özlem Tuğçe Çilingir‐Kaya Türkiye
Ling Hu China
Abdul‐Razak Masoud United States
Ngoc Hoang United States
Yating Wu relative to Moslem Abolhassani Iran Moslem Abolhassani's profile →
Citations per field
00.5×1.5×2.2×
Moslem Abolhassani · 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 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201766
2 202230
3 202026
4 202225
5 202122
6 202119
7 202118
8 202216
9 202313
10 202110
11 20208
12 20207
13 20217
14 20176
15 20145
16 20234
17 20224
18 20234
19 20203
20 20243

About Yating Wu

Yating Wu is a scholar working on Molecular Biology, Neurology, Pharmacology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 31 papers that have together received 304 indexed citations. Recurring topics across this work include Cerebral Venous Sinus Thrombosis (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Microbial Fuel Cells and Bioremediation (2 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Wastewater Treatment and Nitrogen Removal (2 papers), Obesity, Physical Activity, Diet (2 papers), Microbial Community Ecology and Physiology (2 papers) and Ion channel regulation and function (2 papers). The work is most often cited by research in Neurology (40 citations), Biochemistry (25 citations), Pollution (28 citations), Aging (4 citations) and Clinical Biochemistry (14 citations). Yating Wu has collaborated with scholars based in China, Taiwan and India. Frequent co-authors include Aihua Liu, Yuping Wang, Hailiang Liu, Penghui He, Shouwen Chen, Meng Jiang, Qingxi Li, Haifeng Liu, Aihua Liu and Jianbo Zhu. Their work appears in journals such as Aging, Chemical Engineering Journal, Energy storage materials, RSC Advances and Journal of Cellular Biochemistry.

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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