Ding Wang
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Protein Degradation and Inhibitors
- Circular RNAs in diseases
- Histone Deacetylase Inhibitors Research
- Epigenetics and DNA Methylation
Papers in
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- Protein Degradation and Inhibitors 3
- RNA modifications and cancer 3
- Ubiquitin and proteasome pathways 2
- Circular RNAs in diseases 2
- Histone Deacetylase Inhibitors Research 2
- Oncology 5
- Co-authors
- Baofeng Guo (10 shared papers)Libo Xu (5 shared papers)Qian Wang (3 shared papers)Dhan V. Kalvakolanu (6 shared papers)Xiaodong Wei (3 shared papers)Yang Li (2 shared papers)Hang Liang (3 shared papers)Hongwu Zheng (3 shared papers)
- Journals
- Biochemical Pharmacology (2 papers)International Journal of Oncology (2 papers)Gene (1 paper)RSC Advances (1 paper)Experimental Cell Research (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Ding Wang
18 papers receiving 365 citations
Peers
Comparison fields: 5 of 62
- Cancer Research 116
- Molecular Biology 210
- Biotechnology 24
- Geriatrics and Gerontology 8
- Oncology 56
Countries citing papers authored by Ding Wang
This map shows the geographic impact of Ding 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 Ding Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ding Wang more than expected).
Fields of papers citing papers by Ding Wang
This network shows the impact of papers produced by Ding 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 Ding Wang. The network helps show where Ding Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ding 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
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 68 | |
| 2 | 2019 | 55 | |
| 3 | 2021 | 48 | |
| 4 | 2020 | 27 | |
| 5 | 2019 | 27 | |
| 6 | 2021 | 21 | |
| 7 | 2020 | 19 | |
| 8 | 2022 | 15 | |
| 9 | 2020 | 15 | |
| 10 | 2019 | 15 | |
| 11 | 2017 | 11 | |
| 12 | 2014 | 11 | |
| 13 | 2021 | 10 | |
| 14 | 2017 | 8 | |
| 15 | 2024 | 8 | |
| 16 | 2019 | 4 | |
| 17 | 2018 | 4 | |
| 18 | 2024 | 1 | |
| 19 | 2025 | 0 | |
| 20 | Implementation of management system with longitudinal synthesized structure based on B/S and C/S modes | 2004 | 0 |
About Ding Wang
Ding Wang is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Genetics, having authored 20 papers that have together received 367 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (3 papers), RNA modifications and cancer (3 papers), Cancer-related molecular mechanisms research (3 papers), Ubiquitin and proteasome pathways (2 papers), Circular RNAs in diseases (2 papers), Histone Deacetylase Inhibitors Research (2 papers), Cancer Research and Treatments (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Cancer Research (116 citations), Molecular Biology (210 citations), Biotechnology (24 citations), Geriatrics and Gerontology (8 citations) and Oncology (56 citations). Ding Wang has collaborated with scholars based in China and United States. Frequent co-authors include Baofeng Guo, Libo Xu, Qian Wang, Dhan V. Kalvakolanu, Xiaodong Wei, Yang Li, Hang Liang, Hongwu Zheng, Xueliang Zhang and Xiaohui Jiang. Their work appears in journals such as Biochemical Pharmacology, International Journal of Oncology, Gene, RSC Advances and Experimental Cell Research.
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.