Xiaoyun Liu
- Endocrinology top 0.5%
- Vibrio bacteria research studies 20
- Legionella and Acanthamoeba research 10
- Molecular Biology top 2%
- Advanced biosensing and bioanalysis techniques 11
- RNA modifications and cancer 11
- Molecular Medicine top 2%
- Plant Science top 2%
- Plant Molecular Biology Research 12
- Physiology top 2%
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- Salmonella and Campylobacter epidemiology 17
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- Bacterial Genetics and Biotechnology 15
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- Bacteriophages and microbial interactions 12
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Xiaoyun Liu
255 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Endocrinology 823
- Molecular Biology 3.0k
- Molecular Medicine 218
- Plant Science 1.2k
- Physiology 137
Countries citing papers authored by Xiaoyun Liu
This map shows the geographic impact of Xiaoyun Liu'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 Xiaoyun Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoyun Liu more than expected).
Fields of papers citing papers by Xiaoyun Liu
This network shows the impact of papers produced by Xiaoyun Liu. 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 Xiaoyun Liu. The network helps show where Xiaoyun Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaoyun Liu, 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 | 2024 | 2 | |
| 3 | 2024 | 9 | |
| 4 | 2024 | 9 | |
| 5 | 2023 | 8 | |
| 6 | 2023 | 25 | |
| 7 | 2023 | 5 | |
| 8 | 2022 | 64 | |
| 9 | 2022 | 11 | |
| 10 | 2022 | 23 | |
| 11 | 2022 | 8 | |
| 12 | 2021 | 2 | |
| 13 | Suppression of lncRNA SNHG15 protects against cerebral ischemia-reperfusion injury by targeting miR-183-5p/FOXO1 axis. | 2020 | 20 |
| 14 | 2020 | 5 | |
| 15 | 2018 | 41 | |
| 16 | 2018 | 19 | |
| 17 | 2011 | 97 | |
| 18 | Expression of miR-21 in osteosarcoma and its clinical significance. | 2010 | 1 |
| 19 | Ultrastructural observation and study on the respiratory trees of Apostichopus japonicus | 2005 | 5 |
| 20 | Ultrastructural study on coelomocyte of Apostichopus japonicus | 2005 | 2 |
About Xiaoyun Liu
Xiaoyun Liu is a scholar working on Endocrinology, Molecular Biology and Molecular Medicine, having authored 266 papers that have together received 6.4k indexed citations. Recurring topics across this work include Vibrio bacteria research studies (20 papers), Salmonella and Campylobacter epidemiology (17 papers), Bacterial Genetics and Biotechnology (15 papers), Bacteriophages and microbial interactions (12 papers), Plant Molecular Biology Research (12 papers), Advanced biosensing and bioanalysis techniques (11 papers), RNA modifications and cancer (11 papers) and Legionella and Acanthamoeba research (10 papers). The work is most often cited by research in Endocrinology (823 citations), Molecular Biology (3.0k citations) and Molecular Medicine (218 citations). Xiaoyun Liu has collaborated with scholars based in China, United States and France. Frequent co-authors include Jorge E. Galán, Kaiwen Yu, Dao‐Xiu Zhou, Sen Cheng, Mo Hu, Feng Shao, Zhao‐Qing Luo, Yu Zhao, Craig R. Roy and Kohei Arasaki. Their work appears in journals such as Nature, Science and Cell.
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.