Gao‐Ren Wang
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Extracellular vesicles in disease
- Circular RNAs in diseases
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- RNA Interference and Gene Delivery
Papers in
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- Cancer-related molecular mechanisms research 4
- MicroRNA in disease regulation 3
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- Peroxisome Proliferator-Activated Receptors 2
- RNA Research and Splicing 2
- Extracellular vesicles in disease 2
- Co-authors
- Yu‐Shui Ma (9 shared papers)Da Fu (7 shared papers)Zhijun Wu (6 shared papers)Li‐Peng Gu (4 shared papers)Ji‐Bin Liu (5 shared papers)Liu Li (3 shared papers)Yi Shi (6 shared papers)Ting‐Miao Wu (4 shared papers)
- Journals
- Journal of Cellular and Molecular Medicine (2 papers)Current Problems in Cancer (1 paper)Patient (1 paper)Molecular Therapy — Nucleic Acids (1 paper)Journal of Oncology (1 paper)
- Partner nations
- ChinaUnited Kingdom
In The Last Decade
Gao‐Ren Wang
11 papers receiving 256 citations
Peers
Comparison fields: 5 of 45
- Cancer Research 130
- Molecular Biology 192
- Immunology 45
- Oncology 31
- Pulmonary and Respiratory Medicine 16
Countries citing papers authored by Gao‐Ren Wang
This map shows the geographic impact of Gao‐Ren 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 Gao‐Ren Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gao‐Ren Wang more than expected).
Fields of papers citing papers by Gao‐Ren Wang
This network shows the impact of papers produced by Gao‐Ren 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 Gao‐Ren Wang. The network helps show where Gao‐Ren Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Gao‐Ren 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 | 2021 | 90 | |
| 2 | 2021 | 54 | |
| 3 | 2020 | 26 | |
| 4 | 2021 | 23 | |
| 5 | 2021 | 21 | |
| 6 | 2020 | 17 | |
| 7 | 2021 | 9 | |
| 8 | 2020 | 8 | |
| 9 | 2020 | 5 | |
| 10 | 2024 | 2 | |
| 11 | 2022 | 2 |
About Gao‐Ren Wang
Gao‐Ren Wang is a scholar working on Cancer Research, Molecular Biology, Epidemiology, Surgery and Pathology and Forensic Medicine, having authored 11 papers that have together received 257 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), MicroRNA in disease regulation (3 papers), Peroxisome Proliferator-Activated Receptors (2 papers), RNA Research and Splicing (2 papers), Extracellular vesicles in disease (2 papers), Endoplasmic Reticulum Stress and Disease (1 paper), Adenosine and Purinergic Signaling (1 paper) and Liver physiology and pathology (1 paper). The work is most often cited by research in Cancer Research (130 citations), Molecular Biology (192 citations), Immunology (45 citations), Oncology (31 citations) and Pulmonary and Respiratory Medicine (16 citations). Gao‐Ren Wang has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Yu‐Shui Ma, Da Fu, Zhijun Wu, Li‐Peng Gu, Ji‐Bin Liu, Liu Li, Yi Shi, Ting‐Miao Wu, Fei Yu and Pei‐Yao Wang. Their work appears in journals such as Journal of Cellular and Molecular Medicine, Current Problems in Cancer, Patient, Molecular Therapy — Nucleic Acids and Journal of Oncology.
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.