Nan‐Lin Wu

1.2k citations
41 papers · 922 · h-index 20

Impact in

    • Skin Protection and Aging
    • Dermatology and Skin Diseases
    • Phytochemicals and Antioxidant Activities
    • Antioxidant Activity and Oxidative Stress

Papers in

    • Dermatology and Skin Diseases 10
    • Skin Protection and Aging 7
    • Psoriasis: Treatment and Pathogenesis 9
    • Toxin Mechanisms and Immunotoxins 3

Nan‐Lin Wu

39 papers receiving 893 citations

Peers

Nan‐Lin Wu
Comparison fields: 5 of 93
  • Dermatology 252
  • Biochemistry 117
  • Immunology 176
  • Pharmacology 57
  • Pharmacology 87
Replace Kathleen L. Tober with:
Kathleen L. Tober United States
Mudit Vaid United States
Sivaprakasam Balasubramanian United States
Gyeoung-Jin Kang South Korea
Sheau‐Chung Tang Taiwan
Seung Ho Lee South Korea
Youn Kyung Choi South Korea
Christina S. Sander Germany
Han Gyung Kim South Korea
Nan‐Lin Wu relative to Kathleen L. Tober United States Kathleen L. Tober's profile →
Citations per field
00.5×3.2×
Kathleen L. Tober · 1×
Citations per year

Countries citing papers authored by Nan‐Lin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Nan‐Lin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004106
2 201189
3 200954
4 200952
5 201050
6 202045
7 201135
8 201334
9 201034
10 201730
11 202130
12 202029
13 201629
14 202128
15 202025
16 201724
17 202123
18 201422
19 201822
20 201822

About Nan‐Lin Wu

Nan‐Lin Wu is a scholar working on Dermatology, Immunology, Molecular Biology, Pathology and Forensic Medicine and Cell Biology, having authored 41 papers that have together received 922 indexed citations. Recurring topics across this work include Dermatology and Skin Diseases (10 papers), Psoriasis: Treatment and Pathogenesis (9 papers), Skin Protection and Aging (7 papers), Phytochemicals and Antioxidant Activities (4 papers), melanin and skin pigmentation (3 papers), Toxin Mechanisms and Immunotoxins (3 papers), Inflammasome and immune disorders (3 papers) and Pharmacological Effects of Natural Compounds (3 papers). The work is most often cited by research in Dermatology (252 citations), Biochemistry (117 citations), Immunology (176 citations), Pharmacology (57 citations) and Pharmacology (87 citations). Nan‐Lin Wu has collaborated with scholars based in Taiwan, United States and Hungary. Frequent co-authors include Chi‐Feng Hung, Chieh‐Chen Huang, Jia‐You Fang, X. Chen, Chung S. Yang, Hsin‐Ju Li, Chien‐Yu Hsiao, Wan‐Wan Lin, Der‐Chen Chang and Marcelo Chen. Their work appears in journals such as International Journal of Molecular Sciences, Experimental Dermatology, Scientific Reports, The FASEB Journal and Journal of Agricultural and Food Chemistry.

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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