Hao Su
- Cancer Research top 5%
- Cancer-related molecular mechanisms research 14
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis 13
- Oncology top 10%
- Colorectal Cancer Surgical Treatments 15
- Pancreatic and Hepatic Oncology Research 13
- Molecular Biology top 10%
- RNA modifications and cancer 17
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- Gastric Cancer Management and Outcomes 8
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- Liver Disease Diagnosis and Treatment 12
- Hepatitis B Virus Studies 9
- Cited by
- Cancer ResearchHepatologyOncology
- Journals
- Cancer Management and Research (7 papers)Gastroenterology (4 papers)Oncology Reports (4 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Hao Su
125 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Cancer Research 611
- Hepatology 136
- Oncology 423
- Molecular Biology 1.0k
- Pulmonary and Respiratory Medicine 287
Countries citing papers authored by Hao Su
This map shows the geographic impact of Hao Su'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 Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Su more than expected).
Fields of papers citing papers by Hao Su
This network shows the impact of papers produced by Hao Su. 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 Su. The network helps show where Hao Su may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hao Su, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 6 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 26 | |
| 9 | 2024 | 0 | |
| 10 | 2024 | 1 | |
| 11 | 2024 | 0 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 36 | |
| 14 | Identification Prognostic Value and Correlation with Tumor-Infiltrating Immune Cells of Tripartite-Motif Family Genes in Hepatocellular Carcinoma | 2022 | 10 |
| 15 | 2022 | 48 | |
| 16 | 2020 | 17 | |
| 17 | 2020 | 21 | |
| 18 | 2019 | 22 | |
| 19 | 2016 | 3 | |
| 20 | 2012 | 1 |
About Hao Su
Hao Su is a scholar working on Cancer Research, Hepatology, Oncology, Surgery and Epidemiology, having authored 139 papers that have together received 2.1k indexed citations. Recurring topics across this work include RNA modifications and cancer (17 papers), Colorectal Cancer Surgical Treatments (15 papers), Cancer-related molecular mechanisms research (14 papers), Pancreatic and Hepatic Oncology Research (13 papers), Hepatocellular Carcinoma Treatment and Prognosis (13 papers), Liver Disease Diagnosis and Treatment (12 papers), Hepatitis B Virus Studies (9 papers) and Gastric Cancer Management and Outcomes (8 papers). The work is most often cited by research in Cancer Research (611 citations), Hepatology (136 citations), Oncology (423 citations), Molecular Biology (1.0k citations) and Pulmonary and Respiratory Medicine (287 citations). Hao Su has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Huarong Chen, Hongyan Gou, Jun Yu, Tao Peng, Chuangye Han, Guangzhi Zhu, Xiwen Liao, Wei Kang, Weixin Liu and Jianning Zhai. Their work appears in journals such as Cancer Management and Research, Gastroenterology, Oncology Reports, Cancer Medicine and Scientific Reports.
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.