Da Wang
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
- MicroRNA in disease regulation
-
- Sphingolipid Metabolism and Signaling
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- Circular RNAs in diseases
Papers in
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- Epigenetics and DNA Methylation 4
- Cancer-related gene regulation 3
- Oncology 11
- Colorectal Cancer Screening and Detection 4
- Inflammatory Biomarkers in Disease Prognosis 3
- Co-authors
- Chao He (5 shared papers)David J. Fischer (1 shared paper)Daniel L. Baker (1 shared paper)Kazuaki Yokoyama (1 shared paper)Gábor Tigyi (1 shared paper)Nóra Nusser (1 shared paper)Debra L. Bautista (1 shared paper)Abby L. Parrill (1 shared paper)
- Journals
- World Journal of Surgical Oncology (3 papers)PLoS ONE (2 papers)Molecular and Cellular Biochemistry (1 paper)Oncogene (1 paper)Oncotarget (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Da Wang
46 papers receiving 958 citations
Peers
Comparison fields: 5 of 79
- Cancer Research 312
- Molecular Biology 489
- Hepatology 50
- Pathology and Forensic Medicine 103
- Oncology 151
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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 140 | |
| 2 | 2021 | 117 | |
| 3 | 2014 | 102 | |
| 4 | 2013 | 91 | |
| 5 | 2004 | 58 | |
| 6 | 2019 | 56 | |
| 7 | 2016 | 37 | |
| 8 | 2014 | 34 | |
| 9 | 2011 | 30 | |
| 10 | 2011 | 25 | |
| 11 | Investigation of cancer epidemiology and study of carcinogenic agents in the Shanghai Rubber Industry. | 1984 | 24 |
| 12 | 2009 | 22 | |
| 13 | 2017 | 21 | |
| 14 | 2014 | 20 | |
| 15 | 2014 | 18 | |
| 16 | 2021 | 17 | |
| 17 | 2014 | 15 | |
| 18 | 2011 | 15 | |
| 19 | 2022 | 13 | |
| 20 | 2007 | 12 |
About Da Wang
Da Wang is a scholar working on Molecular Biology, Oncology, Cancer Research, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 48 papers that have together received 972 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (5 papers), Epigenetics and DNA Methylation (4 papers), Colorectal Cancer Screening and Detection (4 papers), Genetic factors in colorectal cancer (4 papers), Liver physiology and pathology (3 papers), Cancer-related molecular mechanisms research (3 papers), Cancer-related gene regulation (3 papers) and Inflammatory Biomarkers in Disease Prognosis (3 papers). The work is most often cited by research in Cancer Research (312 citations), Molecular Biology (489 citations), Hepatology (50 citations), Pathology and Forensic Medicine (103 citations) and Oncology (151 citations). Da Wang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Chao He, David J. Fischer, Daniel L. Baker, Kazuaki Yokoyama, Gábor Tigyi, Nóra Nusser, Debra L. Bautista, Abby L. Parrill, Changlong Li and Jer-Yen Yang. Their work appears in journals such as World Journal of Surgical Oncology, PLoS ONE, Molecular and Cellular Biochemistry, Oncogene and Oncotarget.
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.