Da Wang
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Hepatology top 10%
Papers in
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- Epigenetics and DNA Methylation 8
- RNA modifications and cancer 7
- Surgery 29
- Cholangiocarcinoma and Gallbladder Cancer Studies 8
- Co-authors
- Carol A. Fierke (1 shared paper)Hongxia Zhao (1 shared paper)Gang Yan (1 shared paper)Sheng Liu (1 shared paper)Changqing Tian (1 shared paper)Guang‐Hui Dong (5 shared papers)Miao Liu (5 shared papers)Ming‐Hai Wang (2 shared papers)
- Journals
- Cancers (3 papers)Journal of Experimental & Clinical Cancer Research (3 papers)Frontiers in Oncology (3 papers)PLoS ONE (3 papers)Optics Express (2 papers)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Da Wang
90 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 148
- Cancer Research 157
- Hepatology 64
- Biochemistry 46
- Food Science 138
- Nutrition and Dietetics 116
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 102 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 146 | |
| 2 | 2012 | 96 | |
| 3 | 2012 | 92 | |
| 4 | 2020 | 90 | |
| 5 | 2011 | 82 | |
| 6 | 2017 | 71 | |
| 7 | 2004 | 68 | |
| 8 | 2014 | 59 | |
| 9 | 2006 | 54 | |
| 10 | 2014 | 53 | |
| 11 | 2011 | 45 | |
| 12 | 2020 | 44 | |
| 13 | 2022 | 37 | |
| 14 | 2023 | 35 | |
| 15 | 2015 | 35 | |
| 16 | 2020 | 29 | |
| 17 | 2007 | 27 | |
| 18 | 2019 | 27 | |
| 19 | 2018 | 25 | |
| 20 | 2018 | 25 |
About Da Wang
Da Wang is a scholar working on Molecular Biology, Surgery, Oncology, Pulmonary and Respiratory Medicine and Endocrinology, Diabetes and Metabolism, having authored 102 papers that have together received 1.6k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (8 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (8 papers), RNA modifications and cancer (7 papers), Colorectal Cancer Surgical Treatments (7 papers), Liver Disease Diagnosis and Treatment (6 papers), MicroRNA in disease regulation (6 papers), Gastric Cancer Management and Outcomes (5 papers) and Diet, Metabolism, and Disease (5 papers). The work is most often cited by research in Cancer Research (157 citations), Hepatology (64 citations), Biochemistry (46 citations), Food Science (138 citations) and Nutrition and Dietetics (116 citations). Da Wang has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Carol A. Fierke, Hongxia Zhao, Gang Yan, Sheng Liu, Changqing Tian, Guang‐Hui Dong, Miao Liu, Ming‐Hai Wang, Yiqing Chen and Qi Shen. Their work appears in journals such as Cancers, Journal of Experimental & Clinical Cancer Research, Frontiers in Oncology, PLoS ONE and Optics Express.
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.