Ge Mang
Impact in
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- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Epigenetics and DNA Methylation
- RNA modifications and cancer
- Circular RNAs in diseases
- Extracellular vesicles in disease
Papers in
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- Extracellular vesicles in disease 3
- Signaling Pathways in Disease 2
- Circular RNAs in diseases 2
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- Viral Infections and Immunology Research 2
- Cardiovascular Effects of Exercise 1
- Co-authors
- Maomao Zhang (8 shared papers)Naixin Wang (4 shared papers)Zhonghua Tong (5 shared papers)Weiwei Wang (2 shared papers)Dongni Wang (2 shared papers)Jingxuan Cui (2 shared papers)Qiannan Yang (2 shared papers)Xiaoqi Wang (2 shared papers)
- Journals
- Molecular Therapy (2 papers)Clinical and Translational Medicine (1 paper)Journal of Molecular and Cellular Cardiology (1 paper)Circulation Research (1 paper)Cardiovascular Research (1 paper)
- Partner nations
- China
In The Last Decade
Ge Mang
8 papers receiving 429 citations
Ge Mang's Hit Papers
Peers
Comparison fields: 5 of 62
- Cancer Research 157
- Molecular Biology 289
- Immunology 85
- Cardiology and Cardiovascular Medicine 80
- Biochemistry 11
Countries citing papers authored by Ge Mang
This map shows the geographic impact of Ge Mang'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 Mang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ge Mang more than expected).
Fields of papers citing papers by Ge Mang
This network shows the impact of papers produced by Ge Mang. 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 Mang. The network helps show where Ge Mang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ge Mang, 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 | Histone Lactylation Boosts Reparative Gene Activation Post–Myocardial Infarction Hit paper breakdown → | 2022 | 291 |
| 2 | 2020 | 44 | |
| 3 | 2020 | 28 | |
| 4 | 2022 | 23 | |
| 5 | 2019 | 22 | |
| 6 | 2019 | 10 | |
| 7 | 2023 | 7 | |
| 8 | 2024 | 7 |
About Ge Mang
Ge Mang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Immunology, Surgery and Animal Science and Zoology, having authored 8 papers that have together received 432 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (3 papers), Signaling Pathways in Disease (2 papers), T-cell and B-cell Immunology (2 papers), Circular RNAs in diseases (2 papers), Viral Infections and Immunology Research (2 papers), Cytomegalovirus and herpesvirus research (1 paper), MicroRNA in disease regulation (1 paper) and Cardiovascular Effects of Exercise (1 paper). The work is most often cited by research in Cancer Research (157 citations), Molecular Biology (289 citations), Immunology (85 citations), Cardiology and Cardiovascular Medicine (80 citations) and Biochemistry (11 citations). Ge Mang has collaborated with scholars based in China. Frequent co-authors include Maomao Zhang, Naixin Wang, Zhonghua Tong, Weiwei Wang, Dongni Wang, Jingxuan Cui, Qiannan Yang, Xiaoqi Wang, Yafei Zhang and Jianfeng Chen. Their work appears in journals such as Molecular Therapy, Clinical and Translational Medicine, Journal of Molecular and Cellular Cardiology, Circulation Research and Cardiovascular Research.
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.