Dingzhi Wang
Impact in
- Pharmacology top 0.2%
- Inflammatory mediators and NSAID effects
- Cancer Research top 1%
- Cancer, Lipids, and Metabolism
- Cancer, Hypoxia, and Metabolism
Papers in
- Pharmacology 34
- Inflammatory mediators and NSAID effects 32
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- Cancer, Lipids, and Metabolism 16
- Co-authors
- Raymond N. DuBois (58 shared papers)Sudhansu K. Dey (12 shared papers)Haiyan Sun (3 shared papers)Ann J. Richmond (8 shared papers)F. Gregory Buchanan (2 shared papers)Takiko Daikoku (4 shared papers)Haibin Wang (4 shared papers)Hiroshi Katoh (4 shared papers)
- Journals
- Cancer Research (8 papers)Journal of Biological Chemistry (8 papers)Gastroenterology (5 papers)Proceedings of the National Academy of Sciences (3 papers)Nature Medicine (3 papers)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Dingzhi Wang
68 papers receiving 8.0k citations
Dingzhi Wang's Hit Papers
Peers
Comparison fields: 5 of 124
- Pharmacology 2.2k
- Cancer Research 1.8k
- Biochemistry 686
- Immunology 1.7k
- Oncology 2.0k
Countries citing papers authored by Dingzhi Wang
This map shows the geographic impact of Dingzhi Wang'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 Dingzhi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dingzhi Wang more than expected).
Fields of papers citing papers by Dingzhi Wang
This network shows the impact of papers produced by Dingzhi Wang. 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 Dingzhi Wang. The network helps show where Dingzhi Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dingzhi Wang, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Eicosanoids and cancer Hit paper breakdown → | 2010 | 1540 |
| 2 | 2013 | 426 | |
| 3 | 2003 | 409 | |
| 4 | 2006 | 301 | |
| 5 | 2017 | 299 | |
| 6 | 2015 | 296 | |
| 7 | 2004 | 294 | |
| 8 | 2015 | 254 | |
| 9 | 2004 | 239 | |
| 10 | 2010 | 188 | |
| 11 | 2004 | 178 | |
| 12 | 2005 | 167 | |
| 13 | 2005 | 163 | |
| 14 | 2006 | 160 | |
| 15 | 2000 | 155 | |
| 16 | 2004 | 154 | |
| 17 | 2008 | 144 | |
| 18 | 2012 | 138 | |
| 19 | 2018 | 130 | |
| 20 | 2009 | 125 |
About Dingzhi Wang
Dingzhi Wang is a scholar working on Pharmacology, Cancer Research, Oncology, Molecular Biology and Genetics, having authored 68 papers that have together received 8.1k indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (32 papers), Peroxisome Proliferator-Activated Receptors (17 papers), Cancer, Lipids, and Metabolism (16 papers), Estrogen and related hormone effects (13 papers), Chemokine receptors and signaling (9 papers), Cancer, Stress, Anesthesia, and Immune Response (8 papers), Immune cells in cancer (7 papers) and Metabolism, Diabetes, and Cancer (5 papers). The work is most often cited by research in Pharmacology (2.2k citations), Cancer Research (1.8k citations), Biochemistry (686 citations), Immunology (1.7k citations) and Oncology (2.0k citations). Dingzhi Wang has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Raymond N. DuBois, Sudhansu K. Dey, Haiyan Sun, Ann J. Richmond, F. Gregory Buchanan, Takiko Daikoku, Haibin Wang, Hiroshi Katoh, Sharada Katkuri and Jie Wei. Their work appears in journals such as Cancer Research, Journal of Biological Chemistry, Gastroenterology, Proceedings of the National Academy of Sciences and Nature 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.