Gang Wang
Impact in
- Cancer Research top 1%
- Cancer-related molecular mechanisms research
- Cancer, Lipids, and Metabolism
- MicroRNA in disease regulation
- Molecular Biology top 5%
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- Circular RNAs in diseases
Papers in
-
- Epigenetics and DNA Methylation 26
- RNA modifications and cancer 20
-
- Cancer-related molecular mechanisms research 33
- Cancer, Lipids, and Metabolism 22
- Co-authors
- Yu Xiao (69 shared papers)Xinghuan Wang (71 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
179 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 125
- Cancer Research 1.5k
- Molecular Biology 2.5k
- Pulmonary and Respiratory Medicine 1.2k
- Oncology 717
- Sensory Systems 109
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 194 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 137 | |
| 2 | 2008 | 122 | |
| 3 | 2016 | 103 | |
| 4 | 2016 | 100 | |
| 5 | 2017 | 96 | |
| 6 | 2019 | 91 | |
| 7 | 2021 | 77 | |
| 8 | 2016 | 73 | |
| 9 | 2020 | 73 | |
| 10 | 2017 | 69 | |
| 11 | 2009 | 69 | |
| 12 | 2010 | 67 | |
| 13 | 2018 | 67 | |
| 14 | 2018 | 62 | |
| 15 | 2016 | 59 | |
| 16 | 2019 | 52 | |
| 17 | 2017 | 52 | |
| 18 | 2018 | 51 | |
| 19 | 2019 | 50 | |
| 20 | 2013 | 50 |
About Gang Wang
Gang Wang is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Surgery and Oncology, having authored 194 papers that have together received 4.1k indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (38 papers), Bladder and Urothelial Cancer Treatments (34 papers), Cancer-related molecular mechanisms research (33 papers), Epigenetics and DNA Methylation (26 papers), Cancer, Lipids, and Metabolism (22 papers), RNA modifications and cancer (20 papers), Prostate Cancer Treatment and Research (20 papers) and Renal cell carcinoma treatment (14 papers). The work is most often cited by research in Cancer Research (1.5k citations), Molecular Biology (2.5k citations), Pulmonary and Respiratory Medicine (1.2k citations), Oncology (717 citations) and Sensory Systems (109 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.