Da Wang
Impact in
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- MicroRNA in disease regulation
- Hepatology top 10%
- Liver physiology and pathology
Papers in
- Oncology 14
- Cancer-related Molecular Pathways 3
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- RNA modifications and cancer 7
- Epigenetics and DNA Methylation 5
- Co-authors
- Carol A. Fierke (1 shared paper)Hongxia Zhao (1 shared paper)Gang Feng Yan (1 shared paper)Changqing Tian (1 shared paper)Sheng Liu (1 shared paper)Guang‐Hui Dong (5 shared papers)Miao Liu (5 shared papers)Ming‐Hai Wang (2 shared papers)
- Journals
- Journal of Experimental & Clinical Cancer Research (3 papers)PLoS ONE (3 papers)Cancers (3 papers)Frontiers in Oncology (3 papers)World Journal of Surgical Oncology (2 papers)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Da Wang
98 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 144
- Cancer Research 131
- Hepatology 61
- Food Science 147
- Biochemistry 44
- Nutrition and Dietetics 102
Countries citing papers authored by Da Wang
This map shows the geographic impact of Da 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 Da Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da Wang more than expected).
Fields of papers citing papers by Da Wang
This network shows the impact of papers produced by Da 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 Da Wang. The network helps show where Da Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Da 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 104 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 157 | |
| 2 | 2012 | 99 | |
| 3 | 2012 | 98 | |
| 4 | 2020 | 92 | |
| 5 | 2011 | 87 | |
| 6 | 2017 | 75 | |
| 7 | 2004 | 67 | |
| 8 | 2014 | 66 | |
| 9 | 2014 | 55 | |
| 10 | 2006 | 55 | |
| 11 | 2023 | 49 | |
| 12 | 2011 | 48 | |
| 13 | 2020 | 47 | |
| 14 | 2022 | 41 | |
| 15 | 2015 | 38 | |
| 16 | 2023 | 35 | |
| 17 | 2024 | 33 | |
| 18 | 2023 | 33 | |
| 19 | 2020 | 30 | |
| 20 | 2018 | 28 |
About Da Wang
Da Wang is a scholar working on Oncology, Molecular Biology, Surgery, Cancer Research and Endocrinology, Diabetes and Metabolism, having authored 104 papers that have together received 1.8k indexed citations. Recurring topics across this work include RNA modifications and cancer (7 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (5 papers), Epigenetics and DNA Methylation (5 papers), Liver Disease Diagnosis and Treatment (5 papers), Blood Pressure and Hypertension Studies (3 papers), Autophagy in Disease and Therapy (3 papers), Cancer-related Molecular Pathways (3 papers) and Folate and B Vitamins Research (3 papers). The work is most often cited by research in Cancer Research (131 citations), Hepatology (61 citations), Food Science (147 citations), Biochemistry (44 citations) and Nutrition and Dietetics (102 citations). Da Wang has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Carol A. Fierke, Hongxia Zhao, Gang Feng Yan, Changqing Tian, Sheng Liu, Guang‐Hui Dong, Miao Liu, Ming‐Hai Wang, Yiqing Chen and Fei Xiong. Their work appears in journals such as Journal of Experimental & Clinical Cancer Research, PLoS ONE, Cancers, Frontiers in Oncology and World Journal of Surgical Oncology.
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.