Hao Gu
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
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- RNA modifications and cancer
- Circular RNAs in diseases
- RNA Research and Splicing
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
Papers in
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- RNA modifications and cancer 8
- Circular RNAs in diseases 5
- RNA Research and Splicing 5
- Pluripotent Stem Cells Research 4
- CRISPR and Genetic Engineering 4
- Metabolomics and Mass Spectrometry Studies 3
- Epigenetics and DNA Methylation 3
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- Cancer-related molecular mechanisms research 10
- Co-authors
- Mian Wu (5 shared papers)Lei Jin (3 shared papers)Rick F. Thorne (4 shared papers)Yide Mei (3 shared papers)Xu Dong Zhang (2 shared papers)Chuanchun Han (2 shared papers)Jiaxu Wang (2 shared papers)Weiguang Lu (2 shared papers)
In The Last Decade
Hao Gu
33 papers receiving 661 citations
Peers
Comparison fields: 5 of 74
- Cancer Research 292
- Molecular Biology 443
- Obstetrics and Gynecology 38
- Oncology 65
- Immunology 45
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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 110 | |
| 2 | 2012 | 60 | |
| 3 | 2021 | 60 | |
| 4 | 2015 | 56 | |
| 5 | 2013 | 54 | |
| 6 | 2018 | 41 | |
| 7 | 2021 | 39 | |
| 8 | 2023 | 34 | |
| 9 | 2020 | 34 | |
| 10 | 2015 | 33 | |
| 11 | 2016 | 19 | |
| 12 | 2021 | 16 | |
| 13 | 2018 | 13 | |
| 14 | 2014 | 12 | |
| 15 | 2024 | 11 | |
| 16 | 2021 | 9 | |
| 17 | 2016 | 9 | |
| 18 | 2023 | 8 | |
| 19 | 2023 | 7 | |
| 20 | 2023 | 6 |
About Hao Gu
Hao Gu is a scholar working on Molecular Biology, Cancer Research, Immunology, Oncology and Surgery, having authored 35 papers that have together received 668 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (10 papers), RNA modifications and cancer (8 papers), Circular RNAs in diseases (5 papers), RNA Research and Splicing (5 papers), Pluripotent Stem Cells Research (4 papers), CRISPR and Genetic Engineering (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Cancer Research (292 citations), Molecular Biology (443 citations), Obstetrics and Gynecology (38 citations), Oncology (65 citations) and Immunology (45 citations). Hao Gu has collaborated with scholars based in China, Australia and Germany. Frequent co-authors include Mian Wu, Lei Jin, Rick F. Thorne, Yide Mei, Xu Dong Zhang, Chuanchun Han, Jiaxu Wang, Weiguang Lu, Li Zhang and Dan Guo. Their work appears in journals such as Cell Death and Disease, Stem Cells, The FASEB Journal, Molecular Carcinogenesis and PLoS ONE.
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.