Wan Wang
Impact in
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- Hepatitis C virus research
Papers in
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- Circular RNAs in diseases 3
- RNA modifications and cancer 3
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- Breast Cancer Treatment Studies 2
- Cancer-related molecular mechanisms research 2
- Cancer, Hypoxia, and Metabolism 2
- Co-authors
- Pu Shi (2 shared papers)Honggang Cui (2 shared papers)J. Andrew MacKay (2 shared papers)Fei Guo (1 shared paper)Jingyi Yang (1 shared paper)Huiying Liu (1 shared paper)Yi-An Lin (1 shared paper)Weisong Duan (2 shared papers)
- Journals
- Journal of Cancer (1 paper)Cell Death Discovery (1 paper)Genes and Environment (1 paper)The Science of The Total Environment (1 paper)The Journal of Maternal-Fetal & Neonatal Medicine (1 paper)
- Partner nations
- ChinaUnited StatesAustria
In The Last Decade
Wan Wang
30 papers receiving 435 citations
Peers
Comparison fields: 5 of 96
- Hepatology 40
- Cancer Research 57
- Genetics 35
- Neurology 42
- Epidemiology 89
Countries citing papers authored by Wan Wang
This map shows the geographic impact of Wan 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 Wan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wan Wang more than expected).
Fields of papers citing papers by Wan Wang
This network shows the impact of papers produced by Wan 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 Wan Wang. The network helps show where Wan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Wan 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 52 | |
| 2 | 2016 | 43 | |
| 3 | 2014 | 42 | |
| 4 | 2019 | 41 | |
| 5 | 2015 | 39 | |
| 6 | 2020 | 35 | |
| 7 | 2018 | 29 | |
| 8 | 2021 | 24 | |
| 9 | 2018 | 17 | |
| 10 | 2016 | 15 | |
| 11 | 1987 | 14 | |
| 12 | 2016 | 13 | |
| 13 | 2022 | 10 | |
| 14 | 2009 | 8 | |
| 15 | 2021 | 8 | |
| 16 | Alkaloids from root tubers of Stephania kwangsiensis H.S.Lo and their effects on proliferation and apoptosis of lung NCI-H446 cells. | 2016 | 7 |
| 17 | 2024 | 7 | |
| 18 | 2021 | 5 | |
| 19 | Differential effects of estrogen and estrogen receptor antagonist, ICI 182 780, on the expression of calbindin-D9k in rat pituitary prolactinoma GH₃ cells. | 2014 | 4 |
| 20 | 2023 | 3 |
About Wan Wang
Wan Wang is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Oncology and Surgery, having authored 31 papers that have together received 436 indexed citations. Recurring topics across this work include Circular RNAs in diseases (3 papers), RNA modifications and cancer (3 papers), Amyotrophic Lateral Sclerosis Research (2 papers), Autophagy in Disease and Therapy (2 papers), Breast Cancer Treatment Studies (2 papers), Cancer-related molecular mechanisms research (2 papers), Neurogenetic and Muscular Disorders Research (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Hepatology (40 citations), Cancer Research (57 citations), Genetics (35 citations), Neurology (42 citations) and Epidemiology (89 citations). Wan Wang has collaborated with scholars based in China, United States and Austria. Frequent co-authors include Pu Shi, Honggang Cui, J. Andrew MacKay, Fei Guo, Jingyi Yang, Huiying Liu, Yi-An Lin, Weisong Duan, Di Wen and Zhongyao Li. Their work appears in journals such as Journal of Cancer, Cell Death Discovery, Genes and Environment, The Science of The Total Environment and The Journal of Maternal-Fetal & Neonatal Medicine.
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.