Gui Hu
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Research and Splicing
- Epigenetics and DNA Methylation
Papers in
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- Circular RNAs in diseases 8
- RNA modifications and cancer 4
- Epigenetics and DNA Methylation 3
- Cancer-related gene regulation 3
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- Cancer-related molecular mechanisms research 12
- MicroRNA in disease regulation 8
- Co-authors
- Xiaorong Li (26 shared papers)Changwei Lin (23 shared papers)Kaiyan Yang (6 shared papers)Yihang Guo (12 shared papers)Yang Liu (2 shared papers)Chuanzheng Sun (2 shared papers)Xuefei Xiao (2 shared papers)Huaizheng Liu (2 shared papers)
In The Last Decade
Gui Hu
45 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 100
- Cancer Research 532
- Molecular Biology 669
- Epidemiology 135
- Oncology 105
- Hepatology 27
Countries citing papers authored by Gui Hu
This map shows the geographic impact of Gui Hu'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 Gui Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gui Hu more than expected).
Fields of papers citing papers by Gui Hu
This network shows the impact of papers produced by Gui Hu. 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 Gui Hu. The network helps show where Gui Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Gui Hu, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 122 | |
| 2 | 2010 | 107 | |
| 3 | 2022 | 107 | |
| 4 | 2022 | 66 | |
| 5 | 2015 | 60 | |
| 6 | 2022 | 55 | |
| 7 | 2018 | 54 | |
| 8 | 2018 | 38 | |
| 9 | 2016 | 36 | |
| 10 | 2018 | 36 | |
| 11 | 2019 | 34 | |
| 12 | 2021 | 33 | |
| 13 | 2015 | 30 | |
| 14 | 2015 | 28 | |
| 15 | 2015 | 26 | |
| 16 | 2022 | 24 | |
| 17 | 2024 | 22 | |
| 18 | 2020 | 22 | |
| 19 | 2020 | 20 | |
| 20 | 2017 | 20 |
About Gui Hu
Gui Hu is a scholar working on Molecular Biology, Cancer Research, Surgery, Pathology and Forensic Medicine and Epidemiology, having authored 48 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (12 papers), Circular RNAs in diseases (8 papers), MicroRNA in disease regulation (8 papers), RNA modifications and cancer (4 papers), Epigenetics and DNA Methylation (3 papers), Mycobacterium research and diagnosis (3 papers), Cancer-related gene regulation (3 papers) and Genetic factors in colorectal cancer (3 papers). The work is most often cited by research in Cancer Research (532 citations), Molecular Biology (669 citations), Epidemiology (135 citations), Oncology (105 citations) and Hepatology (27 citations). Gui Hu has collaborated with scholars based in China and Russia. Frequent co-authors include Xiaorong Li, Changwei Lin, Kaiyan Yang, Yihang Guo, Yang Liu, Chuanzheng Sun, Xuefei Xiao, Huaizheng Liu, Feizhou Huang and Mingshi Yang. Their work appears in journals such as Oncology Reports, Oncotarget, OncoTargets and Therapy, Cancers and Nature and Science of Sleep.
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.