Hao Shi
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Cancer, Lipids, and Metabolism
- MicroRNA in disease regulation
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- Ferroptosis and cancer prognosis
Papers in
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- Cancer-related gene regulation 4
- Epigenetics and DNA Methylation 4
- RNA modifications and cancer 3
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- Cancer-related molecular mechanisms research 4
- Cancer, Lipids, and Metabolism 3
- Co-authors
- Lei Gao (6 shared papers)Zhuowei Gao (3 shared papers)Xiaofen Yao (2 shared papers)Guanghui Deng (4 shared papers)Yunjia Li (4 shared papers)Menghan Yang (4 shared papers)Meixia Lü (4 shared papers)Yongle Ju (1 shared paper)
- Journals
- PLoS ONE (4 papers)The American Journal of Chinese Medicine (1 paper)Future Oncology (1 paper)Frontiers in Immunology (1 paper)Chinese Journal of Integrative Medicine (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Hao Shi
29 papers receiving 481 citations
Peers
Comparison fields: 5 of 70
- Cancer Research 165
- Pulmonary and Respiratory Medicine 137
- Oncology 105
- Molecular Biology 244
- Biochemistry 20
Countries citing papers authored by Hao Shi
This map shows the geographic impact of Hao Shi'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 Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Shi more than expected).
Fields of papers citing papers by Hao Shi
This network shows the impact of papers produced by Hao Shi. 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 Shi. The network helps show where Hao Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao Shi, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 80 | |
| 2 | 2019 | 74 | |
| 3 | 2022 | 30 | |
| 4 | 2023 | 30 | |
| 5 | 2016 | 28 | |
| 6 | 2022 | 26 | |
| 7 | 2014 | 23 | |
| 8 | 2019 | 22 | |
| 9 | 2013 | 21 | |
| 10 | 2015 | 18 | |
| 11 | 2023 | 16 | |
| 12 | 2005 | 15 | |
| 13 | 2020 | 13 | |
| 14 | 2016 | 13 | |
| 15 | 2021 | 11 | |
| 16 | 2022 | 11 | |
| 17 | 2022 | 10 | |
| 18 | 2022 | 9 | |
| 19 | 2021 | 9 | |
| 20 | 2020 | 6 |
About Hao Shi
Hao Shi is a scholar working on Molecular Biology, Cancer Research, Oncology, Pulmonary and Respiratory Medicine and Surgery, having authored 31 papers that have together received 488 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (5 papers), Inflammatory Biomarkers in Disease Prognosis (4 papers), Cancer-related gene regulation (4 papers), Epigenetics and DNA Methylation (4 papers), Cancer-related molecular mechanisms research (4 papers), Cancer, Lipids, and Metabolism (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Cancer Research (165 citations), Pulmonary and Respiratory Medicine (137 citations), Oncology (105 citations), Molecular Biology (244 citations) and Biochemistry (20 citations). Hao Shi has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Lei Gao, Zhuowei Gao, Xiaofen Yao, Guanghui Deng, Yunjia Li, Menghan Yang, Meixia Lü, Yongle Ju, Yunjia Li and Min Luo. Their work appears in journals such as PLoS ONE, The American Journal of Chinese Medicine, Future Oncology, Frontiers in Immunology and Chinese Journal of Integrative Medicine.
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.