Hao Wu
Impact in
- Geriatrics and Gerontology top 2%
- Sirtuins and Resveratrol in Medicine
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune cells in cancer
- Immunotherapy and Immune Responses
Papers in
-
- Genomics, phytochemicals, and oxidative stress 20
- Gut microbiota and health 5
- Immunology 19
- Immune Cell Function and Interaction 8
- T-cell and B-cell Immunology 6
- Reproductive System and Pregnancy 6
- Co-authors
- Lili Kong (8 shared papers)Alexander L. Dent (6 shared papers)Yi Tan (7 shared papers)Lining Miao (6 shared papers)Ye Jia (9 shared papers)Weixia Sun (6 shared papers)Junduo Wu (10 shared papers)Lu Cai (6 shared papers)
- Journals
- Food & Function (6 papers)PLoS ONE (4 papers)Environmental Toxicology (3 papers)Journal of Cellular and Molecular Medicine (3 papers)Free Radical Biology and Medicine (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Hao Wu
140 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 142
- Geriatrics and Gerontology 132
- Immunology 634
- Nephrology 177
- Clinical Biochemistry 144
- Cancer Research 287
Countries citing papers authored by Hao Wu
This map shows the geographic impact of Hao 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 Hao Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Wu more than expected).
Fields of papers citing papers by Hao Wu
This network shows the impact of papers produced by Hao 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 Hao Wu. The network helps show where Hao Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao Wu, 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 155 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 169 | |
| 2 | 2016 | 160 | |
| 3 | 2016 | 130 | |
| 4 | 2015 | 130 | |
| 5 | 2017 | 128 | |
| 6 | 2016 | 126 | |
| 7 | 2014 | 94 | |
| 8 | 2016 | 87 | |
| 9 | 2018 | 83 | |
| 10 | 2015 | 83 | |
| 11 | 2014 | 81 | |
| 12 | 2018 | 74 | |
| 13 | 2014 | 72 | |
| 14 | 2020 | 60 | |
| 15 | 2019 | 58 | |
| 16 | 2014 | 56 | |
| 17 | 2013 | 55 | |
| 18 | 2017 | 49 | |
| 19 | 2018 | 38 | |
| 20 | 2016 | 37 |
About Hao Wu
Hao Wu is a scholar working on Molecular Biology, Immunology, Surgery, Nutrition and Dietetics and Physiology, having authored 155 papers that have together received 3.0k indexed citations. Recurring topics across this work include Genomics, phytochemicals, and oxidative stress (20 papers), Epilepsy research and treatment (8 papers), Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (6 papers), MicroRNA in disease regulation (6 papers), Reproductive System and Pregnancy (6 papers), Sirtuins and Resveratrol in Medicine (6 papers) and Gut microbiota and health (5 papers). The work is most often cited by research in Geriatrics and Gerontology (132 citations), Immunology (634 citations), Nephrology (177 citations), Clinical Biochemistry (144 citations) and Cancer Research (287 citations). Hao Wu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Lili Kong, Alexander L. Dent, Yi Tan, Lining Miao, Ye Jia, Weixia Sun, Junduo Wu, Lu Cai, Wenlin Huang and Ziping Jiang. Their work appears in journals such as Food & Function, PLoS ONE, Environmental Toxicology, Journal of Cellular and Molecular Medicine and Free Radical Biology and Medicine.
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.