Wanjin Tang
Impact in
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
- Orthopedics and Sports Medicine top 10%
Papers in
-
- Bone Metabolism and Diseases 6
- Polyamine Metabolism and Applications 4
- TGF-β signaling in diseases 3
- Genetics 9
- Estrogen and related hormone effects 8
- Co-authors
- Chi Zhang (8 shared papers)Maria Norlin (6 shared papers)Fan Yang (4 shared papers)Kjell Wikvall (5 shared papers)Yang Li (2 shared papers)Li Yang (2 shared papers)Benoît De Crombrugghe (2 shared papers)Haixia Zhang (5 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (5 papers)Reproductive Toxicology (3 papers)Archives of Biochemistry and Biophysics (2 papers)Amino Acids (2 papers)The Journal of Steroid Biochemistry and Molecular Biology (2 papers)
- Partner nations
- United StatesChinaSweden
In The Last Decade
Wanjin Tang
30 papers receiving 862 citations
Peers
Comparison fields: 5 of 108
- Biomaterials 101
- Orthopedics and Sports Medicine 52
- Cancer Research 91
- Rheumatology 80
- Analytical Chemistry 57
Countries citing papers authored by Wanjin Tang
This map shows the geographic impact of Wanjin Tang'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 Wanjin Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wanjin Tang more than expected).
Fields of papers citing papers by Wanjin Tang
This network shows the impact of papers produced by Wanjin Tang. 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 Wanjin Tang. The network helps show where Wanjin Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Wanjin Tang, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 82 | |
| 2 | 2011 | 79 | |
| 3 | 2011 | 66 | |
| 4 | 2013 | 66 | |
| 5 | 2010 | 60 | |
| 6 | 2014 | 56 | |
| 7 | 2012 | 51 | |
| 8 | 2010 | 46 | |
| 9 | 2006 | 38 | |
| 10 | 2003 | 36 | |
| 11 | 2012 | 36 | |
| 12 | 2011 | 33 | |
| 13 | 2007 | 25 | |
| 14 | 2011 | 24 | |
| 15 | 2006 | 20 | |
| 16 | 2018 | 17 | |
| 17 | 2008 | 17 | |
| 18 | 2008 | 14 | |
| 19 | 2013 | 14 | |
| 20 | 2013 | 12 |
About Wanjin Tang
Wanjin Tang is a scholar working on Molecular Biology, Genetics, Endocrinology, Diabetes and Metabolism, Pharmacology and Surgery, having authored 30 papers that have together received 868 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (8 papers), Estrogen and related hormone effects (8 papers), Pharmacogenetics and Drug Metabolism (6 papers), Bone Metabolism and Diseases (6 papers), Polyamine Metabolism and Applications (4 papers), TGF-β signaling in diseases (3 papers), Bone health and treatments (3 papers) and Effects and risks of endocrine disrupting chemicals (3 papers). The work is most often cited by research in Biomaterials (101 citations), Orthopedics and Sports Medicine (52 citations), Cancer Research (91 citations), Rheumatology (80 citations) and Analytical Chemistry (57 citations). Wanjin Tang has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Chi Zhang, Maria Norlin, Fan Yang, Kjell Wikvall, Yang Li, Li Yang, Benoît De Crombrugghe, Haixia Zhang, Jianmin Shen and Chi Zhang. Their work appears in journals such as Biochemical and Biophysical Research Communications, Reproductive Toxicology, Archives of Biochemistry and Biophysics, Amino Acids and The Journal of Steroid Biochemistry and Molecular Biology.
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.