Xi Ai
Impact in
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
-
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- TGF-β signaling in diseases 5
- Circular RNAs in diseases 2
- Oncology 6
- Pancreatic and Hepatic Oncology Research 4
- Co-authors
- Huifang Liang (6 shared papers)Wanguang Zhang (4 shared papers)Gaopeng Li (3 shared papers)Shengli Dong (3 shared papers)Zhengang Sun (3 shared papers)Yanhui Wu (6 shared papers)Xiaoping Chen (4 shared papers)Zizhuo Zhao (2 shared papers)
- Journals
- Liver International (1 paper)Medicine (1 paper)Aging (1 paper)Biological Chemistry (1 paper)BMC Cancer (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xi Ai
24 papers receiving 358 citations
Peers
Comparison fields: 5 of 64
- Hepatology 101
- Cancer Research 80
- Oncology 90
- Molecular Biology 163
- Epidemiology 64
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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 93 | |
| 2 | 2010 | 49 | |
| 3 | 2010 | 45 | |
| 4 | 2013 | 24 | |
| 5 | Radiofrequency ablation versus surgical resection for the treatment of hepatocellular carcinoma conforming to the Milan criteria: systemic review and meta-analysis. | 2014 | 22 |
| 6 | 2009 | 20 | |
| 7 | 2013 | 20 | |
| 8 | 2015 | 13 | |
| 9 | 2021 | 12 | |
| 10 | 2019 | 11 | |
| 11 | 2017 | 9 | |
| 12 | 2016 | 7 | |
| 13 | 2020 | 6 | |
| 14 | 2024 | 6 | |
| 15 | 2018 | 5 | |
| 16 | 2017 | 5 | |
| 17 | 2016 | 3 | |
| 18 | 2023 | 2 | |
| 19 | 2019 | 2 | |
| 20 | 2024 | 2 |
About Xi Ai
Xi Ai is a scholar working on Molecular Biology, Oncology, Epidemiology, Plant Science and Hepatology, having authored 24 papers that have together received 361 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (5 papers), TGF-β signaling in diseases (5 papers), Pancreatic and Hepatic Oncology Research (4 papers), Hepatitis B Virus Studies (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Genetic factors in colorectal cancer (2 papers), Circular RNAs in diseases (2 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers). The work is most often cited by research in Hepatology (101 citations), Cancer Research (80 citations), Oncology (90 citations), Molecular Biology (163 citations) and Epidemiology (64 citations). Xi Ai has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Huifang Liang, Wanguang Zhang, Gaopeng Li, Shengli Dong, Zhengang Sun, Yanhui Wu, Xiaoping Chen, Zizhuo Zhao, Guan-nan Jin and Weixun Chen. Their work appears in journals such as Liver International, Medicine, Aging, Biological Chemistry and BMC Cancer.
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.