Gang Wang
Impact in
- Cancer Research top 1%
- Cancer-related molecular mechanisms research
- Cancer, Lipids, and Metabolism
- MicroRNA in disease regulation
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- Ferroptosis and cancer prognosis
Papers in
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- Epigenetics and DNA Methylation 23
- RNA modifications and cancer 13
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- Cancer-related molecular mechanisms research 30
- Cancer, Lipids, and Metabolism 21
- Co-authors
- Yu Xiao (69 shared papers)Xinghuan Wang (70 shared papers)Lingao Ju (51 shared papers)Rui Cao (22 shared papers)Kaiyu Qian (55 shared papers)Lushun Yuan (18 shared papers)Marianne D. Sadar (5 shared papers)Guofeng Qian (14 shared papers)
- Journals
- Frontiers in Oncology (8 papers)Cancer Cell International (7 papers)Cell Death and Disease (7 papers)Journal of Cancer (7 papers)Oncogene (5 papers)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Gang Wang
184 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 121
- Cancer Research 1.2k
- Pulmonary and Respiratory Medicine 909
- Molecular Biology 2.1k
- Sensory Systems 119
- Oncology 549
Countries citing papers authored by Gang Wang
This map shows the geographic impact of Gang 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 Gang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gang Wang more than expected).
Fields of papers citing papers by Gang Wang
This network shows the impact of papers produced by Gang 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 Gang Wang. The network helps show where Gang Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Gang 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 198 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 139 | |
| 2 | 2008 | 128 | |
| 3 | 2016 | 108 | |
| 4 | 2016 | 102 | |
| 5 | 2017 | 96 | |
| 6 | 2019 | 92 | |
| 7 | 2021 | 86 | |
| 8 | 2020 | 74 | |
| 9 | 2016 | 73 | |
| 10 | 2009 | 72 | |
| 11 | 2010 | 70 | |
| 12 | 2018 | 70 | |
| 13 | 2017 | 69 | |
| 14 | 2018 | 68 | |
| 15 | 2016 | 60 | |
| 16 | 2018 | 54 | |
| 17 | 2016 | 54 | |
| 18 | 2013 | 53 | |
| 19 | 2019 | 52 | |
| 20 | 2017 | 52 |
About Gang Wang
Gang Wang is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Surgery and Oncology, having authored 198 papers that have together received 4.3k indexed citations. Recurring topics across this work include Bladder and Urothelial Cancer Treatments (31 papers), Ferroptosis and cancer prognosis (31 papers), Cancer-related molecular mechanisms research (30 papers), Epigenetics and DNA Methylation (23 papers), Cancer, Lipids, and Metabolism (21 papers), Prostate Cancer Treatment and Research (17 papers), RNA modifications and cancer (13 papers) and Renal cell carcinoma treatment (13 papers). The work is most often cited by research in Cancer Research (1.2k citations), Pulmonary and Respiratory Medicine (909 citations), Molecular Biology (2.1k citations), Sensory Systems (119 citations) and Oncology (549 citations). Gang Wang has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Yu Xiao, Xinghuan Wang, Lingao Ju, Rui Cao, Kaiyu Qian, Lushun Yuan, Marianne D. Sadar, Guofeng Qian, Ye Tian and Yongwen Luo. Their work appears in journals such as Frontiers in Oncology, Cancer Cell International, Cell Death and Disease, Journal of Cancer and Oncogene.
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.