Qi Gui
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Circular RNAs in diseases
- Extracellular vesicles in disease
- RNA modifications and cancer
Papers in
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- Circular RNAs in diseases 3
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- SARS-CoV-2 and COVID-19 Research 5
- Co-authors
- Hui Zhang (1 shared paper)Minghui Li (1 shared paper)Jing Zhang (1 shared paper)Yanbing Shen (1 shared paper)Shiying Yu (3 shared papers)Liang Zhuang (4 shared papers)Shu Xia (4 shared papers)Ping Peng (3 shared papers)
- Journals
- Medicine (3 papers)Journal of Virology (2 papers)Cell Reports (1 paper)Journal of Immunology Research (1 paper)Cancer Biology & Therapy (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Qi Gui
30 papers receiving 327 citations
Peers
Comparison fields: 5 of 58
- Cancer Research 96
- Molecular Biology 166
- Oncology 54
- Pulmonary and Respiratory Medicine 38
- Physiology 31
Countries citing papers authored by Qi Gui
This map shows the geographic impact of Qi Gui'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 Qi Gui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qi Gui more than expected).
Fields of papers citing papers by Qi Gui
This network shows the impact of papers produced by Qi Gui. 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 Qi Gui. The network helps show where Qi Gui may publish in the future.
Co-authors
The 25 scholars most cited alongside Qi Gui, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 52 | |
| 2 | 2015 | 31 | |
| 3 | 2011 | 30 | |
| 4 | 2013 | 26 | |
| 5 | 2012 | 19 | |
| 6 | 2020 | 19 | |
| 7 | 2013 | 17 | |
| 8 | In vitro cytotoxic and antiproliferative effects of portulaca oleracea methanol extract on breast, cervical, colon and nasopharyngeal cancerous cell lines | 2013 | 17 |
| 9 | 2021 | 16 | |
| 10 | 2021 | 14 | |
| 11 | 2015 | 14 | |
| 12 | 2023 | 12 | |
| 13 | 2021 | 10 | |
| 14 | 2022 | 7 | |
| 15 | 2018 | 7 | |
| 16 | 2023 | 6 | |
| 17 | Increased expression of lncRNA ZEB1-AS1 in non-small cell lung cancer is associated with poor prognosis. | 2018 | 6 |
| 18 | 2020 | 5 | |
| 19 | 2017 | 4 | |
| 20 | 2021 | 3 |
About Qi Gui
Qi Gui is a scholar working on Molecular Biology, Infectious Diseases, Oncology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 33 papers that have together received 330 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), Circular RNAs in diseases (3 papers), Pain Mechanisms and Treatments (3 papers), MicroRNA in disease regulation (3 papers), Lung Cancer Treatments and Mutations (3 papers), Cancer Treatment and Pharmacology (2 papers), Autophagy in Disease and Therapy (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Cancer Research (96 citations), Molecular Biology (166 citations), Oncology (54 citations), Pulmonary and Respiratory Medicine (38 citations) and Physiology (31 citations). Qi Gui has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hui Zhang, Minghui Li, Jing Zhang, Yanbing Shen, Shiying Yu, Liang Zhuang, Shu Xia, Ping Peng, Meng Shen and Chengcheng Xu. Their work appears in journals such as Medicine, Journal of Virology, Cell Reports, Journal of Immunology Research and Cancer Biology & Therapy.
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.