Ru Dai

675 citations
25 papers · 480 · h-index 12

Impact in

    • Dermatology and Skin Diseases
    • Skin Protection and Aging
    • Acne and Rosacea Treatments and Effects
    • Dermatologic Treatments and Research
  • Genetics top 10%
    • Mesenchymal stem cell research

Papers in

    • Skin Protection and Aging 6
    • Dermatologic Treatments and Research 4
    • Acne and Rosacea Treatments and Effects 4
    • Dermatology and Skin Diseases 4
    • Tissue Engineering and Regenerative Medicine 4

Ru Dai

23 papers receiving 474 citations

Peers

Ru Dai
Comparison fields: 5 of 86
  • Dermatology 134
  • Genetics 125
  • Urology 36
  • Biomaterials 69
  • Rehabilitation 30
Replace Feng‐Lai Yuan with:
Feng‐Lai Yuan China
Maria Beatriz Puzzi Brazil
Mohammadreza Pakyari Canada
Shengxian Jia United States
Enrico Vigato Italy
Ji Soo Park South Korea
Ana Fernández‐González Spain
Danning Zheng China
Won Seok Park South Korea
Sho Yamakawa Japan
Ru Dai relative to Feng‐Lai Yuan China Feng‐Lai Yuan's profile →
Citations per field
00.5×5.5×
Feng‐Lai Yuan · 1×
Citations per year

Countries citing papers authored by Ru Dai

Since Specialization
Citations

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

Fields of papers citing papers by Ru Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016243
2 201929
3 201927
4 201825
5 201620
6 201619
7 201716
8 202115
9 201915
10 201813
11 202212
12 202311
13 20238
14 20146
15 20206
16
Nomenclatural validation of Paecilomyces hepiali
20083
17 20193
18 20233
19 20252
20
Development of In Vivo Optical Imaging
20081

About Ru Dai

Ru Dai is a scholar working on Dermatology, Surgery, Molecular Biology, Urology and Pharmacology, having authored 25 papers that have together received 480 indexed citations. Recurring topics across this work include Skin Protection and Aging (6 papers), Dermatologic Treatments and Research (4 papers), Acne and Rosacea Treatments and Effects (4 papers), Dermatology and Skin Diseases (4 papers), Tissue Engineering and Regenerative Medicine (4 papers), Hair Growth and Disorders (4 papers), Mesenchymal stem cell research (3 papers) and Pluripotent Stem Cells Research (3 papers). The work is most often cited by research in Dermatology (134 citations), Genetics (125 citations), Urology (36 citations), Biomaterials (69 citations) and Rehabilitation (30 citations). Ru Dai has collaborated with scholars based in China, Taiwan and South Korea. Frequent co-authors include Keekyoung Kim, Kyo-in Koo, Roya Samanipour, Zongjie Wang, Li Li, Wei Hua, Lidan Xiong, Yingzhe Yu, Mao Tian Luan and Xiao Du. Their work appears in journals such as Frontiers in Medicine, Journal of the European Academy of Dermatology and Venereology, Dermatologic Therapy, Skin Research and Technology and Clinical and Experimental Dermatology.

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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