Quan An

446 citations
27 papers · 344 · h-index 13

Impact in

Papers in

    • Genomics, phytochemicals, and oxidative stress 4
    • Skin Protection and Aging 6
    • Acne and Rosacea Treatments and Effects 2
    • Dermatology and Skin Diseases 2

Quan An

25 papers receiving 338 citations

Peers

Quan An
Comparison fields: 5 of 80
  • Dermatology 60
  • Biochemistry 27
  • Pharmacology 71
  • Rehabilitation 28
  • Pharmacology 27
Replace Eunju Shin with:
Eunju Shin South Korea
Hee Seob Lee South Korea
Ji Wei Tan Malaysia
Sae Woong Oh South Korea
Bae-Hwan Kim South Korea
Hongfeng Wang China
Chih-Wei Chou Taiwan
Fabian Gendrisch Germany
Don‐Gil Lee South Korea
Kozo Nakai Japan
Quan An relative to Eunju Shin South Korea Eunju Shin's profile →
Citations per field
00.5×1.5×2.0×
Eunju Shin · 1×
Citations per year

Countries citing papers authored by Quan An

Since Specialization
Citations

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

Fields of papers citing papers by Quan An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201344
2 202234
3 201426
4 202224
5 202124
6 202121
7 202220
8 202118
9 201918
10 202217
11 202414
12 202214
13 202313
14 202211
15 20238
16 20247
17 20227
18 20246
19
Gene Expression Profile Analyses of the Skin Response of Balb/c-Nu Mice Model Injected by Staphylococcus aureus
20224
20 20224

About Quan An

Quan An is a scholar working on Molecular Biology, Dermatology, Pharmacology, Biochemistry and Cancer Research, having authored 27 papers that have together received 344 indexed citations. Recurring topics across this work include Skin Protection and Aging (6 papers), Phytochemicals and Antioxidant Activities (5 papers), Genomics, phytochemicals, and oxidative stress (4 papers), Bee Products Chemical Analysis (3 papers), Acne and Rosacea Treatments and Effects (2 papers), Dermatology and Skin Diseases (2 papers), Nanoparticle-Based Drug Delivery (2 papers) and Wound Healing and Treatments (2 papers). The work is most often cited by research in Dermatology (60 citations), Biochemistry (27 citations), Pharmacology (71 citations), Rehabilitation (28 citations) and Pharmacology (27 citations). Quan An has collaborated with scholars based in China and France. Frequent co-authors include Jiachan Zhang, Changtao Wang, Dan Zhao, Meng Li, Shiquan You, Wenjing Cheng, Dongdong Wang, Xiaojing Ma, Long Chen and Duan Ma. Their work appears in journals such as Molecules, Clinical Cosmetic and Investigational Dermatology, Nutrients, Pharmaceutical Development and Technology and Food Science & Nutrition.

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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