Dan Luo
Impact in
- Dermatology top 0.5%
- Skin Protection and Aging
- Dermatologic Treatments and Research
- Biochemistry top 5%
Papers in
- Dermatology 54
- Skin Protection and Aging 37
- Dermatologic Treatments and Research 14
- Dermatology and Skin Diseases 7
- Cell Biology 24
- melanin and skin pigmentation 19
Dan Luo
141 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 149
- Dermatology 704
- Biochemistry 130
- Cell Biology 294
- Rehabilitation 120
- Cancer Research 229
Countries citing papers authored by Dan Luo
This map shows the geographic impact of Dan Luo'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 Dan Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Luo more than expected).
Fields of papers citing papers by Dan Luo
This network shows the impact of papers produced by Dan Luo. 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 Dan Luo. The network helps show where Dan Luo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dan Luo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 6 | |
| 3 | 2024 | 20 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 5 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 0 | |
| 11 | 2023 | 5 | |
| 12 | Plausible relationship between homocysteine and obesity risk via MTHFR gene: a meta-analysis of 38,317 individuals implementing Mendelian randomization | 2019 | 1 |
| 13 | 2018 | 1 | |
| 14 | A validation study for the use VE1 immunohistochemical staining in screening for BRAF mutation in cutaneous malignant melanoma | 2017 | 1 |
| 15 | 2017 | 4 | |
| 16 | Pustular drug eruption due to Panax notoginseng saponins | 2014 | 1 |
| 17 | 2010 | 18 | |
| 18 | Ginsenoside-Rg1 protects human dermal fibroblasts against 8-methoxypsoralen plus ultraviolet A-induced photoaging through p53-dependent signaling pathways | 2010 | 3 |
| 19 | Protective effect of Guanxinning injection on myocardial ischemia reperfusion injury in rats and effect on heat shock protein 70 expression | 2009 | 1 |
| 20 | IL-1α and ATP mRNA expression after ultraviolet irradiation in human keratinocyte original-SCC 12F cells | 2004 | 1 |
About Dan Luo
Dan Luo is a scholar working on Dermatology, Cell Biology, Cancer Research, Pharmaceutical Science and Aging, having authored 146 papers that have together received 2.0k indexed citations. Recurring topics across this work include Skin Protection and Aging (37 papers), melanin and skin pigmentation (19 papers), Cancer-related molecular mechanisms research (14 papers), Dermatologic Treatments and Research (14 papers), MicroRNA in disease regulation (11 papers), Immunotherapy and Immune Responses (8 papers), Dermatology and Skin Diseases (7 papers) and Genomics, phytochemicals, and oxidative stress (6 papers). The work is most often cited by research in Dermatology (704 citations), Biochemistry (130 citations), Cell Biology (294 citations), Rehabilitation (120 citations) and Cancer Research (229 citations). Dan Luo has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Bingrong Zhou, Yang Xu, Felicia Permatasari, Zhiqiang Yin, Mengli Zhang, Di Wu, Di Wu, Shilei Guo, Min Wei and Mei‐Jie Zhang. Their work appears in journals such as The American Journal of Chinese Medicine, BioMed Research International, Journal of Cosmetic and Laser Therapy, Journal of Cosmetic Dermatology and PLoS ONE.
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.