Hao Gu
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
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- Natural Compounds in Disease Treatment
Papers in
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- Circular RNAs in diseases 3
- RNA modifications and cancer 3
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- Cancer-related molecular mechanisms research 4
- Cancer, Hypoxia, and Metabolism 3
- Co-authors
- Ruitai Fan (10 shared papers)Junqi Liu (10 shared papers)Hong Ge (1 shared paper)Xijuan Chen (1 shared paper)Yingqiang Liu (1 shared paper)Song Zhang (3 shared papers)Xiling Chen (1 shared paper)Di Zhao (2 shared papers)
- Journals
- Oncotarget (3 papers)Aging (2 papers)Experimental Biology and Medicine (1 paper)Nuclear Medicine Communications (1 paper)Cancer Cell International (1 paper)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Hao Gu
28 papers receiving 658 citations
Peers
Comparison fields: 5 of 77
- Cancer Research 256
- Complementary and alternative medicine 45
- Molecular Biology 334
- Oncology 74
- Epidemiology 88
Countries citing papers authored by Hao Gu
This map shows the geographic impact of Hao 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 Hao Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Gu more than expected).
Fields of papers citing papers by Hao Gu
This network shows the impact of papers produced by Hao 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 Hao Gu. The network helps show where Hao Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao 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
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 124 | |
| 2 | 2020 | 96 | |
| 3 | 2016 | 58 | |
| 4 | 2024 | 52 | |
| 5 | 2017 | 37 | |
| 6 | 2020 | 36 | |
| 7 | 2017 | 36 | |
| 8 | 2024 | 28 | |
| 9 | 2015 | 27 | |
| 10 | 2015 | 22 | |
| 11 | 2016 | 21 | |
| 12 | 2017 | 18 | |
| 13 | 2015 | 15 | |
| 14 | 2018 | 14 | |
| 15 | 2018 | 13 | |
| 16 | 2016 | 13 | |
| 17 | 2017 | 10 | |
| 18 | 2016 | 9 | |
| 19 | 2014 | 8 | |
| 20 | 2020 | 5 |
About Hao Gu
Hao Gu is a scholar working on Molecular Biology, Cancer Research, Surgery, Oncology and Pulmonary and Respiratory Medicine, having authored 29 papers that have together received 662 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), Circular RNAs in diseases (3 papers), Natural Compounds in Disease Treatment (3 papers), RNA modifications and cancer (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Ferroptosis and cancer prognosis (2 papers), Cancer Cells and Metastasis (2 papers) and Esophageal Cancer Research and Treatment (2 papers). The work is most often cited by research in Cancer Research (256 citations), Complementary and alternative medicine (45 citations), Molecular Biology (334 citations), Oncology (74 citations) and Epidemiology (88 citations). Hao Gu has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Ruitai Fan, Junqi Liu, Hong Ge, Xijuan Chen, Yingqiang Liu, Song Zhang, Xiling Chen, Di Zhao, Yayun Qian and Nannan Xue. Their work appears in journals such as Oncotarget, Aging, Experimental Biology and Medicine, Nuclear Medicine Communications and Cancer Cell International.
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.