Kui Wang
Impact in
- Cancer Research top 2%
- Cancer, Hypoxia, and Metabolism
- Molecular Biology top 2%
- Single-cell and spatial transcriptomics
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- Genomics, phytochemicals, and oxidative stress
Papers in
-
- Epigenetics and DNA Methylation 12
- RNA modifications and cancer 10
- Oncology 25
- Cancer Cells and Metastasis 9
- Co-authors
- Canhua Huang (37 shared papers)Edouard C. Nice (31 shared papers)Yunlong Lei (17 shared papers)Yuquan Wei (13 shared papers)Tian‐Lan Zhang (19 shared papers)Hai‐Ning Chen (10 shared papers)Jingwen Jiang (13 shared papers)Lan Yuan (8 shared papers)
- Journals
- Autophagy (7 papers)BioMetals (5 papers)Journal of Cellular Biochemistry (5 papers)Cancer Research (5 papers)PLoS ONE (4 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Kui Wang
219 papers receiving 7.5k citations
Peers
Comparison fields: 5 of 169
- Cancer Research 857
- Molecular Biology 3.4k
- Geriatrics and Gerontology 123
- Neurology 262
- Pharmacology 271
Countries citing papers authored by Kui Wang
This map shows the geographic impact of Kui 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 Kui Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kui Wang more than expected).
Fields of papers citing papers by Kui Wang
This network shows the impact of papers produced by Kui 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 Kui Wang. The network helps show where Kui Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kui 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 229 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 333 | |
| 2 | 2009 | 258 | |
| 3 | 2013 | 243 | |
| 4 | 2009 | 229 | |
| 5 | 2016 | 196 | |
| 6 | 2021 | 189 | |
| 7 | 2007 | 179 | |
| 8 | 2017 | 176 | |
| 9 | 2014 | 165 | |
| 10 | 2018 | 161 | |
| 11 | 2014 | 151 | |
| 12 | 2020 | 151 | |
| 13 | 2019 | 132 | |
| 14 | 2018 | 129 | |
| 15 | 2019 | 114 | |
| 16 | 2015 | 112 | |
| 17 | 2017 | 110 | |
| 18 | 2014 | 109 | |
| 19 | 2019 | 95 | |
| 20 | 2016 | 94 |
About Kui Wang
Kui Wang is a scholar working on Molecular Biology, Oncology, Epidemiology, Cancer Research and Immunology, having authored 229 papers that have together received 7.6k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (17 papers), Epigenetics and DNA Methylation (12 papers), Hepatocellular Carcinoma Treatment and Prognosis (10 papers), RNA modifications and cancer (10 papers), Cancer, Hypoxia, and Metabolism (10 papers), Advanced Proteomics Techniques and Applications (10 papers), Cancer Cells and Metastasis (9 papers) and Endoplasmic Reticulum Stress and Disease (9 papers). The work is most often cited by research in Cancer Research (857 citations), Molecular Biology (3.4k citations), Geriatrics and Gerontology (123 citations), Neurology (262 citations) and Pharmacology (271 citations). Kui Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Canhua Huang, Edouard C. Nice, Yunlong Lei, Yuquan Wei, Tian‐Lan Zhang, Hai‐Ning Chen, Jingwen Jiang, Lan Yuan, Lukasz Kurgan and Jian Huang. Their work appears in journals such as Autophagy, BioMetals, Journal of Cellular Biochemistry, Cancer Research and PLoS ONE.
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.