Tie Wu
Impact in
- Pharmacology top 2%
-
- Bone health and osteoporosis research
Papers in
-
- Bone Metabolism and Diseases 13
- Genomics, phytochemicals, and oxidative stress 4
- Coenzyme Q10 studies and effects 2
-
- Bone health and osteoporosis research 8
- Bone and Joint Diseases 3
- Co-authors
- Liao Cui (18 shared papers)Liyi Zou (10 shared papers)Shaoru Chen (2 shared papers)Li Li (1 shared paper)Gang Li (6 shared papers)Sien Lin (9 shared papers)Liangliang Xu (4 shared papers)Wayne Lee (4 shared papers)
In The Last Decade
Tie Wu
59 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 105
- Pharmacology 175
- Orthopedics and Sports Medicine 160
- Complementary and alternative medicine 112
- Molecular Biology 652
- Molecular Medicine 46
Countries citing papers authored by Tie Wu
This map shows the geographic impact of Tie 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 Tie Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tie Wu more than expected).
Fields of papers citing papers by Tie Wu
This network shows the impact of papers produced by Tie 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 Tie Wu. The network helps show where Tie Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Tie 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 138 | |
| 2 | 2013 | 138 | |
| 3 | 2012 | 117 | |
| 4 | 2011 | 106 | |
| 5 | 2018 | 89 | |
| 6 | 2014 | 85 | |
| 7 | 2013 | 68 | |
| 8 | 2015 | 53 | |
| 9 | 2011 | 46 | |
| 10 | 2017 | 44 | |
| 11 | 2009 | 43 | |
| 12 | Tanshinone prevents cancellous bone loss induced by ovariectomy in rats. | 2004 | 42 |
| 13 | 2014 | 42 | |
| 14 | 2015 | 41 | |
| 15 | 2014 | 39 | |
| 16 | 2015 | 39 | |
| 17 | 2010 | 38 | |
| 18 | 2016 | 25 | |
| 19 | 2016 | 24 | |
| 20 | 2015 | 23 |
About Tie Wu
Tie Wu is a scholar working on Molecular Biology, Orthopedics and Sports Medicine, Complementary and alternative medicine, Cancer Research and Pharmacology, having authored 59 papers that have together received 1.5k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (13 papers), Bone health and osteoporosis research (8 papers), Traditional Chinese Medicine Analysis (6 papers), Genomics, phytochemicals, and oxidative stress (4 papers), Medicinal Plant Pharmacodynamics Research (3 papers), Cancer, Lipids, and Metabolism (3 papers), Bone and Joint Diseases (3 papers) and Coenzyme Q10 studies and effects (2 papers). The work is most often cited by research in Pharmacology (175 citations), Orthopedics and Sports Medicine (160 citations), Complementary and alternative medicine (112 citations), Molecular Biology (652 citations) and Molecular Medicine (46 citations). Tie Wu has collaborated with scholars based in China, Hong Kong and Macao. Frequent co-authors include Liao Cui, Liyi Zou, Shaoru Chen, Li Li, Gang Li, Sien Lin, Liangliang Xu, Wayne Lee, Gregory B. Martin and S. D. Tanksley. Their work appears in journals such as PLoS ONE, Journal of Bone and Mineral Metabolism, Calcified Tissue International, European Journal of Pharmacology and Oxidative Medicine and Cellular Longevity.
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.