Xiaohong Ai
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
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- Chemokine receptors and signaling
Papers in
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- FOXO transcription factor regulation 1
- Cell death mechanisms and regulation 1
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- Garlic and Onion Studies 5
- Co-authors
- Youhua Wu (7 shared papers)Meng He (2 shared papers)Xiaocheng Cao (2 shared papers)Hui Ling (4 shared papers)Xiaoming Xie (2 shared papers)Danian Dai (2 shared papers)Hailin Tang (2 shared papers)Jianhong Zuo (2 shared papers)
- Journals
- Oncology Reports (2 papers)PLoS ONE (1 paper)Frontiers in Medicine (1 paper)OncoTargets and Therapy (1 paper)Journal of Cancer (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Xiaohong Ai
22 papers receiving 375 citations
Peers
Comparison fields: 5 of 59
- Cancer Research 89
- Oncology 98
- Molecular Biology 157
- Immunology 43
- Pathology and Forensic Medicine 32
Countries citing papers authored by Xiaohong Ai
This map shows the geographic impact of Xiaohong 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 Xiaohong Ai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohong Ai more than expected).
Fields of papers citing papers by Xiaohong Ai
This network shows the impact of papers produced by Xiaohong 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 Xiaohong Ai. The network helps show where Xiaohong Ai may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaohong 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 39 | |
| 2 | 2017 | 39 | |
| 3 | 2018 | 34 | |
| 4 | 2019 | 25 | |
| 5 | 2014 | 25 | |
| 6 | 2017 | 22 | |
| 7 | 2015 | 21 | |
| 8 | 2014 | 21 | |
| 9 | 2014 | 20 | |
| 10 | 2007 | 18 | |
| 11 | 2017 | 18 | |
| 12 | 2018 | 17 | |
| 13 | 2016 | 16 | |
| 14 | [Effect of neferine on adriamycin-resistance of thermotolerant hepatocarcinoma cell line HepG2/thermotolerance]. | 2007 | 16 |
| 15 | 2021 | 14 | |
| 16 | 2022 | 11 | |
| 17 | 2022 | 10 | |
| 18 | 2022 | 6 | |
| 19 | 2020 | 5 | |
| 20 | 2024 | 3 |
About Xiaohong Ai
Xiaohong Ai is a scholar working on Molecular Biology, Plant Science, Oncology, Cancer Research and Pathology and Forensic Medicine, having authored 22 papers that have together received 382 indexed citations. Recurring topics across this work include Garlic and Onion Studies (5 papers), Cancer Cells and Metastasis (2 papers), Chemotherapy-induced organ toxicity mitigation (2 papers), MicroRNA in disease regulation (2 papers), FOXO transcription factor regulation (1 paper), Liver physiology and pathology (1 paper), Cell death mechanisms and regulation (1 paper) and Medical Imaging Techniques and Applications (1 paper). The work is most often cited by research in Cancer Research (89 citations), Oncology (98 citations), Molecular Biology (157 citations), Immunology (43 citations) and Pathology and Forensic Medicine (32 citations). Xiaohong Ai has collaborated with scholars based in China and United States. Frequent co-authors include Youhua Wu, Meng He, Xiaocheng Cao, Hui Ling, Xiaoming Xie, Danian Dai, Hailin Tang, Jianhong Zuo, Lei Wang and Sai Li. Their work appears in journals such as Oncology Reports, PLoS ONE, Frontiers in Medicine, OncoTargets and Therapy and Journal of 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.