Jianren Gu
Impact in
- Cancer Research top 0.1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Molecular Biology top 0.5%
- Circular RNAs in diseases
- RNA modifications and cancer
- Extracellular vesicles in disease
- RNA Interference and Gene Delivery
Papers in
- Hepatology 18
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- MicroRNA in disease regulation 12
- Cancer, Hypoxia, and Metabolism 11
Jianren Gu
148 papers receiving 10.9k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Cancer Research 5.3k
- Molecular Biology 8.1k
- Hepatology 789
- Oncology 2.1k
- Immunology 800
Countries citing papers authored by Jianren Gu
This map shows the geographic impact of Jianren Gu'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 Jianren Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianren Gu more than expected).
Fields of papers citing papers by Jianren Gu
This network shows the impact of papers produced by Jianren Gu. 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 Jianren Gu. The network helps show where Jianren Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jianren Gu, 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 | 2020 | 9 | |
| 2 | 2020 | 93 | |
| 3 | 2019 | 98 | |
| 4 | 2017 | 71 | |
| 5 | 2017 | 6 | |
| 6 | 2016 | 22 | |
| 7 | Circular RNA profiling reveals an abundant circHIPK3 that regulates cell growth by sponging multiple miRNAs Hit paper breakdown → | 2016 | 1644 |
| 8 | 2016 | 66 | |
| 9 | 2015 | 6 | |
| 10 | 2014 | 259 | |
| 11 | 2014 | 32 | |
| 12 | 2013 | 20 | |
| 13 | 2013 | 35 | |
| 14 | 2011 | 0 | |
| 15 | 2009 | 189 | |
| 16 | The roles of hsa-miR-93 on the hepatocellular carcinoma | 2008 | 1 |
| 17 | 2007 | 6 | |
| 18 | 2006 | 8 | |
| 19 | 2004 | 8 | |
| 20 | Effect on growth of human hepatoma cells by antisense gene of type II insulin-like growth factor receptor transfection | 2001 | 1 |
About Jianren Gu
Jianren Gu is a scholar working on Hepatology, Cancer Research, Molecular Biology, Oncology and Biotechnology, having authored 150 papers that have together received 11.0k indexed citations. Recurring topics across this work include RNA modifications and cancer (19 papers), RNA Interference and Gene Delivery (16 papers), Liver Disease Diagnosis and Treatment (15 papers), Virus-based gene therapy research (15 papers), Glycosylation and Glycoproteins Research (12 papers), Monoclonal and Polyclonal Antibodies Research (12 papers), MicroRNA in disease regulation (12 papers) and Cancer, Hypoxia, and Metabolism (11 papers). The work is most often cited by research in Cancer Research (5.3k citations), Molecular Biology (8.1k citations), Hepatology (789 citations), Oncology (2.1k citations) and Immunology (800 citations). Jianren Gu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xianghuo He, Shenglin Huang, Weijie Guo, Qiupeng Zheng, Shuyi Li, Chunyang Bao, Ming Yao, Jinjun Li, Jiang Zhao and Yan Li. Their work appears in journals such as Cancer Letters, Biochemical and Biophysical Research Communications, Hepatology, PLoS ONE and International Journal of Cancer.
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.