Ge Wang
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Communication top 10%
Papers in
-
- Circular RNAs in diseases 3
- RNA modifications and cancer 3
- Machine Learning in Bioinformatics 1
-
- Cancer-related molecular mechanisms research 5
- MicroRNA in disease regulation 1
- Co-authors
- Runxi Zeng (2 shared papers)Wei Zhang (1 shared paper)Jin‐Shui Zhu (2 shared papers)Hui Liu (1 shared paper)Yanxia Huang (1 shared paper)Rui Zhang (1 shared paper)Lidan Hou (1 shared paper)Xiaoyu Chen (1 shared paper)
- Journals
- International Journal of Medical Sciences (1 paper)Analytical Chemistry (1 paper)European Journal of Gastroenterology & Hepatology (1 paper)Journal of Gastroenterology and Hepatology (1 paper)Science of Advanced Materials (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Ge Wang
18 papers receiving 569 citations
Peers
Comparison fields: 5 of 107
- Cancer Research 227
- Communication 39
- Information Systems and Management 31
- Molecular Biology 280
- Cell Biology 48
Countries citing papers authored by Ge Wang
This map shows the geographic impact of Ge 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 Ge Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ge Wang more than expected).
Fields of papers citing papers by Ge Wang
This network shows the impact of papers produced by Ge 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 Ge Wang. The network helps show where Ge Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ge 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
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 157 | |
| 2 | 2018 | 115 | |
| 3 | 2009 | 73 | |
| 4 | 2016 | 60 | |
| 5 | 2015 | 42 | |
| 6 | 2018 | 31 | |
| 7 | 2021 | 27 | |
| 8 | 2016 | 18 | |
| 9 | Madecassic acid inhibits the mouse colon cancer growth by inducing apoptosis and immunomodulation. | 2014 | 16 |
| 10 | 2020 | 13 | |
| 11 | 2021 | 7 | |
| 12 | 2014 | 4 | |
| 13 | 2008 | 4 | |
| 14 | 2020 | 4 | |
| 15 | 2019 | 2 | |
| 16 | 2024 | 1 | |
| 17 | 2021 | 1 | |
| 18 | 2007 | 1 | |
| 19 | 2009 | 0 |
About Ge Wang
Ge Wang is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Social Psychology and Cell Biology, having authored 19 papers that have together received 576 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), Circular RNAs in diseases (3 papers), RNA modifications and cancer (3 papers), Cancer Research and Treatments (2 papers), Inflammatory Bowel Disease (2 papers), MicroRNA in disease regulation (1 paper), Machine Learning in Bioinformatics (1 paper) and Social Media and Politics (1 paper). The work is most often cited by research in Cancer Research (227 citations), Communication (39 citations), Information Systems and Management (31 citations), Molecular Biology (280 citations) and Cell Biology (48 citations). Ge Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Runxi Zeng, Wei Zhang, Jin‐Shui Zhu, Hui Liu, Yanxia Huang, Rui Zhang, Lidan Hou, Xiaoyu Chen, Jing Zhang and Wei Zhang. Their work appears in journals such as International Journal of Medical Sciences, Analytical Chemistry, European Journal of Gastroenterology & Hepatology, Journal of Gastroenterology and Hepatology and Science of Advanced Materials.
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.