Hai Gao
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Acute Myocardial Infarction Research 17
- Antiplatelet Therapy and Cardiovascular Diseases 4
-
- Circular RNAs in diseases 5
- Co-authors
- Xubin Deng (3 shared papers)Xiaojun Luo (2 shared papers)Wenli Zhang (4 shared papers)Jianping Liu (4 shared papers)Yingjie Jiang (1 shared paper)Lei Ma (1 shared paper)Yongjian Zhou (1 shared paper)Jianhua He (2 shared papers)
- Journals
- International Journal of Biological Macromolecules (2 papers)Oncotarget (2 papers)Cytokine (2 papers)Evidence-based Complementary and Alternative Medicine (2 papers)PLoS ONE (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Hai Gao
52 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 98
- Cancer Research 374
- Cardiology and Cardiovascular Medicine 198
- Molecular Biology 584
- Immunology 139
- Complementary and alternative medicine 42
Countries citing papers authored by Hai Gao
This map shows the geographic impact of Hai Gao'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 Hai Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai Gao more than expected).
Fields of papers citing papers by Hai Gao
This network shows the impact of papers produced by Hai Gao. 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 Hai Gao. The network helps show where Hai Gao may publish in the future.
Co-authors
The 25 scholars most cited alongside Hai Gao, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 108 | |
| 2 | 2016 | 97 | |
| 3 | 2017 | 91 | |
| 4 | 2018 | 62 | |
| 5 | 2018 | 61 | |
| 6 | 2015 | 60 | |
| 7 | 2010 | 58 | |
| 8 | 2018 | 57 | |
| 9 | 2017 | 49 | |
| 10 | 2013 | 26 | |
| 11 | 2016 | 26 | |
| 12 | 2013 | 23 | |
| 13 | 2024 | 23 | |
| 14 | 2024 | 23 | |
| 15 | 2019 | 22 | |
| 16 | 2022 | 20 | |
| 17 | 2017 | 19 | |
| 18 | 2019 | 18 | |
| 19 | 2019 | 18 | |
| 20 | 2007 | 16 |
About Hai Gao
Hai Gao is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Surgery, Cancer Research and Radiology, Nuclear Medicine and Imaging, having authored 56 papers that have together received 1.1k indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (17 papers), Coronary Interventions and Diagnostics (9 papers), Cardiac Imaging and Diagnostics (6 papers), MicroRNA in disease regulation (6 papers), Cancer-related molecular mechanisms research (6 papers), Circular RNAs in diseases (5 papers), Mechanical Circulatory Support Devices (5 papers) and Antiplatelet Therapy and Cardiovascular Diseases (4 papers). The work is most often cited by research in Cancer Research (374 citations), Cardiology and Cardiovascular Medicine (198 citations), Molecular Biology (584 citations), Immunology (139 citations) and Complementary and alternative medicine (42 citations). Hai Gao has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xubin Deng, Xiaojun Luo, Wenli Zhang, Jianping Liu, Yingjie Jiang, Lei Ma, Yongjian Zhou, Jianhua He, Ming Zhang and Yi Zhao. Their work appears in journals such as International Journal of Biological Macromolecules, Oncotarget, Cytokine, Evidence-based Complementary and Alternative Medicine 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.