Yaying Wu

27 papers receiving 417 citations

Peers

Yaying Wu
Comparison fields: 5 of 91
  • Complementary and alternative medicine 61
  • Ophthalmology 51
  • Pharmacology 42
  • Public Health, Environmental and Occupational Health 136
  • Immunology and Allergy 24
Replace Katia Marazova with:
Katia Marazova Bulgaria
Yoriko Takahashi Japan
Fan‐Li Lin Taiwan
Heejin Lee South Korea
Johanna Viiri Finland
Tao Lü China
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Yaying Wu relative to Katia Marazova Bulgaria Katia Marazova's profile →
Citations per field
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Katia Marazova · 1×
Citations per year

Countries citing papers authored by Yaying Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yaying Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200667
2 200747
3 202144
4 202231
5 202227
6 202219
7 202119
8 202016
9 200815
10 202115
11 202314
12 200714
13 202213
14 202212
15 202111
16 201011
17 202111
18 20227
19
[Growth inhibition and multidrug resistance-reversing effect of tanshinone I A on human breast cancer cell with estrogen receptor negative].
20077
20 20135

About Yaying Wu

Yaying Wu is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, Immunology and Allergy, Ophthalmology and Artificial Intelligence, having authored 28 papers that have together received 426 indexed citations. Recurring topics across this work include Ocular Surface and Contact Lens (13 papers), Allergic Rhinitis and Sensitization (5 papers), Glaucoma and retinal disorders (4 papers), Cryptography and Data Security (4 papers), Olfactory and Sensory Function Studies (3 papers), Corneal Surgery and Treatments (3 papers), Cloud Data Security Solutions (3 papers) and Acne and Rosacea Treatments and Effects (2 papers). The work is most often cited by research in Complementary and alternative medicine (61 citations), Ophthalmology (51 citations), Pharmacology (42 citations), Public Health, Environmental and Occupational Health (136 citations) and Immunology and Allergy (24 citations). Yaying Wu has collaborated with scholars based in China and South Sudan. Frequent co-authors include Xiuming Jin, Xiaodan Huang, Kelan Yuan, Zhujuan Xiong, Xiujie Wang, Ping Lin, Jingjing Ren, Yanrong Lu, Yu Han and Shu Jiang. Their work appears in journals such as Frontiers in Medicine, Scientific Reports, Cellular and Molecular Neurobiology, Clinical and Translational Science and IEEE Systems 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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