Dan Hao
Impact in
- Dermatology top 1%
- Acne and Rosacea Treatments and Effects
- Skin Protection and Aging
- Dermatology and Skin Diseases
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
- Epidemiology 10
- Sepsis Diagnosis and Treatment 3
- Co-authors
- Xian Jiang (15 shared papers)Gu He (8 shared papers)Xiang Wen (6 shared papers)Yujia Wang (8 shared papers)Lian Wang (7 shared papers)Xiaohua Li (1 shared paper)Nan Zhang (2 shared papers)Hong Chen (9 shared papers)
- Journals
- Animals (4 papers)Gene (3 papers)Biomedicine & Pharmacotherapy (3 papers)Clinical Radiology (2 papers)Frontiers in Nutrition (2 papers)
- Partner nations
- ChinaDenmarkUnited States
In The Last Decade
Dan Hao
56 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 95
- Dermatology 329
- Cancer Research 225
- Geriatrics and Gerontology 26
- Cell Biology 108
- Molecular Biology 442
Countries citing papers authored by Dan Hao
This map shows the geographic impact of Dan Hao'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 Hao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Hao more than expected).
Fields of papers citing papers by Dan Hao
This network shows the impact of papers produced by Dan Hao. 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 Hao. The network helps show where Dan Hao may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Hao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 210 | |
| 2 | 2017 | 179 | |
| 3 | 2019 | 166 | |
| 4 | 2019 | 67 | |
| 5 | 2019 | 48 | |
| 6 | 2020 | 42 | |
| 7 | 2020 | 32 | |
| 8 | 2014 | 32 | |
| 9 | 2019 | 27 | |
| 10 | 2023 | 21 | |
| 11 | 2018 | 20 | |
| 12 | 2019 | 16 | |
| 13 | 2021 | 15 | |
| 14 | 2023 | 14 | |
| 15 | 2017 | 12 | |
| 16 | 2022 | 12 | |
| 17 | 2021 | 12 | |
| 18 | 2020 | 12 | |
| 19 | 2014 | 11 | |
| 20 | 2023 | 10 |
About Dan Hao
Dan Hao is a scholar working on Molecular Biology, Epidemiology, Genetics, Dermatology and Cancer Research, having authored 59 papers that have together received 1.1k indexed citations. Recurring topics across this work include Adrenal Hormones and Disorders (5 papers), melanin and skin pigmentation (4 papers), Sirtuins and Resveratrol in Medicine (4 papers), Animal Nutrition and Physiology (4 papers), Genetic and phenotypic traits in livestock (3 papers), Adipose Tissue and Metabolism (3 papers), Sepsis Diagnosis and Treatment (3 papers) and Hormonal Regulation and Hypertension (3 papers). The work is most often cited by research in Dermatology (329 citations), Cancer Research (225 citations), Geriatrics and Gerontology (26 citations), Cell Biology (108 citations) and Molecular Biology (442 citations). Dan Hao has collaborated with scholars based in China, Denmark and United States. Frequent co-authors include Xian Jiang, Gu He, Xiang Wen, Yujia Wang, Lian Wang, Xiaohua Li, Nan Zhang, Hong Chen, Yongzhen Huang and Xiao Wang. Their work appears in journals such as Animals, Gene, Biomedicine & Pharmacotherapy, Clinical Radiology and Frontiers in 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.