Li Wu
Impact in
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- Sirtuins and Resveratrol in Medicine
Papers in
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- Cancer-related gene regulation 5
- RNA modifications and cancer 4
- CRISPR and Genetic Engineering 3
- Pluripotent Stem Cells Research 2
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- Reproductive Biology and Fertility 4
- Co-authors
- Zhi Yuan (1 shared paper)Tingting Liu (1 shared paper)Shaorong Gao (11 shared papers)Jiayu Chen (3 shared papers)Mei Mei (1 shared paper)Yun Jiang (1 shared paper)Xiaoxiang Sun (2 shared papers)Zhiyong Mao (2 shared papers)
- Journals
- Cell Proliferation (2 papers)Stem Cell Reports (2 papers)Protein & Cell (1 paper)Cell Research (1 paper)Frontiers in Pharmacology (1 paper)
- Partner nations
- ChinaUnited StatesRomania
In The Last Decade
Li Wu
32 papers receiving 345 citations
Peers
Comparison fields: 5 of 90
- Geriatrics and Gerontology 17
- Aging 7
- Archeology 39
- Reproductive Medicine 22
- Cancer Research 31
Countries citing papers authored by Li Wu
This map shows the geographic impact of Li 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 Li Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Wu more than expected).
Fields of papers citing papers by Li Wu
This network shows the impact of papers produced by Li 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 Li Wu. The network helps show where Li Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Li 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1989 | 45 | |
| 2 | 2021 | 44 | |
| 3 | 2020 | 34 | |
| 4 | 2018 | 20 | |
| 5 | 2024 | 17 | |
| 6 | 2015 | 16 | |
| 7 | 2022 | 13 | |
| 8 | 2017 | 13 | |
| 9 | 2021 | 12 | |
| 10 | 2017 | 12 | |
| 11 | 2017 | 11 | |
| 12 | 2023 | 11 | |
| 13 | 2016 | 11 | |
| 14 | 2011 | 9 | |
| 15 | 2020 | 8 | |
| 16 | 2024 | 7 | |
| 17 | 2021 | 7 | |
| 18 | 2021 | 7 | |
| 19 | 2011 | 7 | |
| 20 | 2024 | 6 |
About Li Wu
Li Wu is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Immunology, Cancer Research and Reproductive Medicine, having authored 34 papers that have together received 351 indexed citations. Recurring topics across this work include Cancer-related gene regulation (5 papers), Reproductive Biology and Fertility (4 papers), RNA modifications and cancer (4 papers), CRISPR and Genetic Engineering (3 papers), Cancer-related molecular mechanisms research (3 papers), Endometriosis Research and Treatment (2 papers), Pluripotent Stem Cells Research (2 papers) and Reproductive System and Pregnancy (2 papers). The work is most often cited by research in Geriatrics and Gerontology (17 citations), Aging (7 citations), Archeology (39 citations), Reproductive Medicine (22 citations) and Cancer Research (31 citations). Li Wu has collaborated with scholars based in China, United States and Romania. Frequent co-authors include Zhi Yuan, Tingting Liu, Shaorong Gao, Jiayu Chen, Mei Mei, Yun Jiang, Xiaoxiang Sun, Zhiyong Mao, Yu Chen and Ying Jiang. Their work appears in journals such as Cell Proliferation, Stem Cell Reports, Protein & Cell, Cell Research and Frontiers in Pharmacology.
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.