Xi Ai
Impact in
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- TGF-β signaling in diseases 4
-
- Hepatocellular Carcinoma Treatment and Prognosis 6
- Co-authors
- Huifang Liang (6 shared papers)Wanguang Zhang (4 shared papers)Zhengang Sun (3 shared papers)Gaopeng Li (3 shared papers)Shengli Dong (3 shared papers)Yanhui Wu (6 shared papers)Xiaoping Chen (4 shared papers)Zizhuo Zhao (2 shared papers)
- Journals
- Critical Reviews in Oncology/Hematology (1 paper)Cancer Biology & Therapy (1 paper)Biological Chemistry (1 paper)Medicine (1 paper)Hepatology (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xi Ai
26 papers receiving 375 citations
Peers
Comparison fields: 5 of 62
- Hepatology 84
- Cancer Research 63
- Oncology 75
- Molecular Biology 137
- Pathology and Forensic Medicine 25
Countries citing papers authored by Xi Ai
This map shows the geographic impact of Xi Ai'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 Xi Ai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xi Ai more than expected).
Fields of papers citing papers by Xi Ai
This network shows the impact of papers produced by Xi Ai. 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 Xi Ai. The network helps show where Xi Ai may publish in the future.
Co-authors
The 25 scholars most cited alongside Xi Ai, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 96 | |
| 2 | 2010 | 50 | |
| 3 | 2010 | 49 | |
| 4 | 2013 | 25 | |
| 5 | Radiofrequency ablation versus surgical resection for the treatment of hepatocellular carcinoma conforming to the Milan criteria: systemic review and meta-analysis. | 2014 | 23 |
| 6 | 2013 | 21 | |
| 7 | 2009 | 20 | |
| 8 | 2015 | 13 | |
| 9 | 2021 | 12 | |
| 10 | 2019 | 11 | |
| 11 | 2017 | 9 | |
| 12 | 2016 | 8 | |
| 13 | 2024 | 8 | |
| 14 | 2020 | 7 | |
| 15 | 2017 | 6 | |
| 16 | 2018 | 5 | |
| 17 | 2016 | 3 | |
| 18 | 2023 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2019 | 2 |
About Xi Ai
Xi Ai is a scholar working on Molecular Biology, Hepatology, Oncology, Plant Science and Epidemiology, having authored 26 papers that have together received 379 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Pancreatic and Hepatic Oncology Research (4 papers), TGF-β signaling in diseases (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Light effects on plants (2 papers), Genetic factors in colorectal cancer (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Plant and Fungal Interactions Research (1 paper). The work is most often cited by research in Hepatology (84 citations), Cancer Research (63 citations), Oncology (75 citations), Molecular Biology (137 citations) and Pathology and Forensic Medicine (25 citations). Xi Ai has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Huifang Liang, Wanguang Zhang, Zhengang Sun, Gaopeng Li, Shengli Dong, Yanhui Wu, Xiaoping Chen, Zizhuo Zhao, Guan-nan Jin and Pran K. Datta. Their work appears in journals such as Critical Reviews in Oncology/Hematology, Cancer Biology & Therapy, Biological Chemistry, Medicine and Hepatology.
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.