Ge Wang
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Circular RNAs in diseases
- Cancer-related gene regulation
- RNA modifications and cancer
- DNA Repair Mechanisms
- Epigenetics and DNA Methylation
- Mitochondrial Function and Pathology
Papers in
-
- Cancer-related gene regulation 4
- DNA Repair Mechanisms 3
- Oncology 12
- Peptidase Inhibition and Analysis 3
- Co-authors
- Bijing Mao (6 shared papers)Zhimin Zhang (11 shared papers)Mengxia Li (11 shared papers)He Xiao (9 shared papers)Dong Wang (11 shared papers)Chuan Chen (12 shared papers)Zengpeng Li (6 shared papers)Dong Wang (2 shared papers)
- Journals
- Cell Biochemistry and Biophysics (5 papers)Journal of Alzheimer s Disease (4 papers)Scientific Reports (3 papers)Cancer Medicine (3 papers)Biochemical and Biophysical Research Communications (2 papers)
- Partner nations
- ChinaUnited StatesNorway
In The Last Decade
Ge Wang
70 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 123
- Cancer Research 269
- Molecular Biology 641
- Oncology 211
- Hepatology 40
- Pathology and Forensic Medicine 72
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
Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 115 | |
| 2 | 2013 | 84 | |
| 3 | 2010 | 83 | |
| 4 | 2009 | 70 | |
| 5 | 2015 | 58 | |
| 6 | 2016 | 53 | |
| 7 | 2021 | 39 | |
| 8 | 2018 | 38 | |
| 9 | 2011 | 36 | |
| 10 | 2015 | 33 | |
| 11 | 2012 | 32 | |
| 12 | 2018 | 28 | |
| 13 | 2009 | 27 | |
| 14 | 2014 | 26 | |
| 15 | 2021 | 25 | |
| 16 | 2010 | 25 | |
| 17 | 2023 | 22 | |
| 18 | 2008 | 22 | |
| 19 | 2011 | 22 | |
| 20 | 2015 | 21 |
About Ge Wang
Ge Wang is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Epidemiology and Pathology and Forensic Medicine, having authored 71 papers that have together received 1.3k indexed citations. Recurring topics across this work include Liver physiology and pathology (4 papers), Cancer-related gene regulation (4 papers), MicroRNA in disease regulation (4 papers), DNA Repair Mechanisms (3 papers), Endometrial and Cervical Cancer Treatments (3 papers), Peptidase Inhibition and Analysis (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and Lymphoma Diagnosis and Treatment (3 papers). The work is most often cited by research in Cancer Research (269 citations), Molecular Biology (641 citations), Oncology (211 citations), Hepatology (40 citations) and Pathology and Forensic Medicine (72 citations). Ge Wang has collaborated with scholars based in China, United States and Norway. Frequent co-authors include Bijing Mao, Zhimin Zhang, Mengxia Li, He Xiao, Dong Wang, Chuan Chen, Zengpeng Li, Dong Wang, Yi Qing and Zhenzhou Yang. Their work appears in journals such as Cell Biochemistry and Biophysics, Journal of Alzheimer s Disease, Scientific Reports, Cancer Medicine and Biochemical and Biophysical Research Communications.
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.