Meng Guo
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in ⓘ
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- RNA modifications and cancer 3
- Immunology 11
- Immune Cell Function and Interaction 7
- interferon and immune responses 3
- Co-authors
- Quanxing Wang (11 shared papers)Jianming Zheng (3 shared papers)Yanfang Liu (2 shared papers)Hailing Zhang (1 shared paper)Jun Gu (2 shared papers)Weifeng Jiang (3 shared papers)Li Zhou (2 shared papers)Guoshan Ding (7 shared papers)
In The Last Decade
Meng Guo
32 papers receiving 700 citations
Peers
Comparison fields: 5 of 93
- Cancer Research 156
- Hepatology 67
- Immunology 137
- Transplantation 16
- Cardiology and Cardiovascular Medicine 115
Countries citing papers authored by Meng Guo
This map shows the geographic impact of Meng Guo'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 Meng Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meng Guo more than expected).
Fields of papers citing papers by Meng Guo
This network shows the impact of papers produced by Meng Guo. 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 Meng Guo. The network helps show where Meng Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Meng Guo, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 121 | |
| 2 | 2012 | 86 | |
| 3 | 2017 | 62 | |
| 4 | 2017 | 42 | |
| 5 | 2015 | 37 | |
| 6 | 2013 | 34 | |
| 7 | 2018 | 34 | |
| 8 | 2016 | 32 | |
| 9 | 2014 | 30 | |
| 10 | 2012 | 30 | |
| 11 | 2012 | 27 | |
| 12 | 2022 | 25 | |
| 13 | 2018 | 16 | |
| 14 | 2016 | 16 | |
| 15 | 2020 | 15 | |
| 16 | 2015 | 15 | |
| 17 | 2025 | 12 | |
| 18 | 2021 | 11 | |
| 19 | mir-155 regulates cardiac allograft rejection by targing the expression of suppressor of cytokine signaling-1 (DOCS1) in dendritic cells. | 2014 | 9 |
| 20 | Blocking activity of the HPV18 virus in cervical cancer cells using the CRISPR/Cas9 system. | 2018 | 7 |
About Meng Guo
Meng Guo is a scholar working on Molecular Biology, Immunology, Oncology, Cancer Research and Surgery, having authored 32 papers that have together received 704 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), MicroRNA in disease regulation (4 papers), CAR-T cell therapy research (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Metal-Organic Frameworks: Synthesis and Applications (3 papers), RNA modifications and cancer (3 papers), Cancer-related molecular mechanisms research (3 papers) and interferon and immune responses (3 papers). The work is most often cited by research in Cancer Research (156 citations), Hepatology (67 citations), Immunology (137 citations), Transplantation (16 citations) and Cardiology and Cardiovascular Medicine (115 citations). Meng Guo has collaborated with scholars based in China, India and Canada. Frequent co-authors include Quanxing Wang, Jianming Zheng, Yanfang Liu, Hailing Zhang, Jun Gu, Weifeng Jiang, Li Zhou, Guoshan Ding, Hong‐Wei Tan and Yanfang Liu. Their work appears in journals such as Biochemical and Biophysical Research Communications, Cancer Letters, Oncotarget, Experimental Cell Research and 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.