Dingding Wang
Impact in
- Pharmacology top 10%
- Pharmacological Effects of Natural Compounds
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- MicroRNA in disease regulation
Papers in ⓘ
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- TGF-β signaling in diseases 4
- Natural product bioactivities and synthesis 3
- Advanced biosensing and bioanalysis techniques 3
- Fibroblast Growth Factor Research 3
- Gene expression and cancer classification 3
- CRISPR and Genetic Engineering 2
- Oncology 4
- Co-authors
- Zhihong Yu (4 shared papers)Ju Wang (4 shared papers)Kai Yu (1 shared paper)Shenghuo Zhu (1 shared paper)Tao Li (1 shared paper)Yihong Gong (1 shared paper)Tianmin Xu (2 shared papers)Manman Su (2 shared papers)
- Journals
- Scientific Reports (1 paper)Cell Death Discovery (1 paper)Hydrometallurgy (1 paper)Journal of Ethnopharmacology (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Dingding Wang
28 papers receiving 589 citations
Peers
Comparison fields: 5 of 101
- Pharmacology 48
- Cancer Research 82
- Molecular Biology 357
- Complementary and alternative medicine 32
- Oncology 70
Countries citing papers authored by Dingding Wang
This map shows the geographic impact of Dingding 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 Dingding Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dingding Wang more than expected).
Fields of papers citing papers by Dingding Wang
This network shows the impact of papers produced by Dingding 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 Dingding Wang. The network helps show where Dingding Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dingding 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 80 | |
| 2 | 2009 | 65 | |
| 3 | 2009 | 51 | |
| 4 | 2011 | 43 | |
| 5 | 2012 | 36 | |
| 6 | 2022 | 32 | |
| 7 | 2024 | 29 | |
| 8 | 2020 | 27 | |
| 9 | 2015 | 27 | |
| 10 | 2012 | 27 | |
| 11 | 2012 | 26 | |
| 12 | 2012 | 24 | |
| 13 | 2023 | 22 | |
| 14 | 2024 | 16 | |
| 15 | 2023 | 15 | |
| 16 | 2022 | 11 | |
| 17 | 2021 | 11 | |
| 18 | 2016 | 11 | |
| 19 | 2010 | 9 | |
| 20 | 2016 | 9 |
About Dingding Wang
Dingding Wang is a scholar working on Molecular Biology, Oncology, Plant Science, Cell Biology and Cancer Research, having authored 31 papers that have together received 601 indexed citations. Recurring topics across this work include TGF-β signaling in diseases (4 papers), Natural product bioactivities and synthesis (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), MicroRNA in disease regulation (3 papers), Fibroblast Growth Factor Research (3 papers), Gene expression and cancer classification (3 papers), CRISPR and Genetic Engineering (2 papers) and Phytochemistry and Biological Activities (2 papers). The work is most often cited by research in Pharmacology (48 citations), Cancer Research (82 citations), Molecular Biology (357 citations), Complementary and alternative medicine (32 citations) and Oncology (70 citations). Dingding Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhihong Yu, Ju Wang, Kai Yu, Shenghuo Zhu, Tao Li, Yihong Gong, Tianmin Xu, Manman Su, Ying Xin and Wenjia Wang. Their work appears in journals such as Scientific Reports, Cell Death Discovery, Hydrometallurgy, Journal of Ethnopharmacology and Journal of Biological Chemistry.
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.