Yaying Wu

27 papers receiving 458 citations

Peers

Yaying Wu
Comparison fields: 5 of 83
  • Complementary and alternative medicine 62
  • Public Health, Environmental and Occupational Health 143
  • Pharmacology 33
  • Ophthalmology 29
  • Sensory Systems 13
Replace Daniela Elisabeth Eigenmann with:
Daniela Elisabeth Eigenmann Switzerland
Giada Bianchetti Italy
Katia Marazova France
Suqian Wu China
Takeshi Haseba Japan
Yoriko Takahashi Japan
Zi Ye China
Pan Long China
Yunying Huang China
Kaori Hara Japan
Yaying Wu relative to Daniela Elisabeth Eigenmann Switzerland Daniela Elisabeth Eigenmann's profile →
Citations per field
00.5×2×4×6×7.3×
Daniela Elisabeth Eigenmann · 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 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200670
2 202154
3 200749
4 202234
5 202233
6 202221
7 202121
8 202320
9 202018
10 202217
11 202117
12 200815
13 202214
14 200714
15 202112
16 202111
17 201011
18
[Growth inhibition and multidrug resistance-reversing effect of tanshinone I A on human breast cancer cell with estrogen receptor negative].
20077
19 20227
20 20245

About Yaying Wu

Yaying Wu is a scholar working on Public Health, Environmental and Occupational Health, Immunology and Allergy, Ophthalmology, Pharmaceutical Science and Cell Biology, having authored 29 papers that have together received 469 indexed citations. Recurring topics across this work include Ocular Surface and Contact Lens (13 papers), Cryptography and Data Security (4 papers), Allergic Rhinitis and Sensitization (4 papers), Cloud Data Security Solutions (3 papers), Glaucoma and retinal disorders (3 papers), Advancements in Transdermal Drug Delivery (2 papers), Microtubule and mitosis dynamics (2 papers) and Traditional Chinese Medicine Analysis (2 papers). The work is most often cited by research in Complementary and alternative medicine (62 citations), Public Health, Environmental and Occupational Health (143 citations), Pharmacology (33 citations), Ophthalmology (29 citations) and Sensory Systems (13 citations). Yaying Wu has collaborated with scholars based in China and Taiwan. Frequent co-authors include Xiuming Jin, Xiaodan Huang, Kelan Yuan, Ping Lin, Xiujie Wang, Zhujuan Xiong, Yu Han, Jingjing Ren, Yanrong Lu and Jiao Zheng. Their work appears in journals such as Frontiers in Medicine, Scientific Reports, Clinical and Translational Science, Cellular and Molecular Neurobiology and Annals of Palliative Medicine.

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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