Shuai Lian
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol 9
- Biological Psychiatry top 10%
- Cancer Research top 10%
- MicroRNA in disease regulation 7
- Animal Science and Zoology top 5%
- Nutrition and Dietetics top 10%
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- Adipose Tissue and Metabolism 12
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- Neuroinflammation and Neurodegeneration Mechanisms 7
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- Immune Response and Inflammation 7
- T-cell and Retrovirus Studies 5
- Galectins and Cancer Biology 5
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- Birth, Development, and Health 5
- Co-authors
- Jianfa WangHuanmin YangJingru GuoBin XuShize LiRui WuZhen LiPing Zhang
- Journals
- Scientific Reports (1 paper)Brain Research (2 papers)International Journal of Molecular Sciences (2 papers)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Shuai Lian
64 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Behavioral Neuroscience 85
- Biological Psychiatry 54
- Cancer Research 186
- Animal Science and Zoology 110
- Nutrition and Dietetics 162
Countries citing papers authored by Shuai Lian
This map shows the geographic impact of Shuai Lian'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 Shuai Lian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuai Lian more than expected).
Fields of papers citing papers by Shuai Lian
This network shows the impact of papers produced by Shuai Lian. 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 Shuai Lian. The network helps show where Shuai Lian may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shuai Lian, 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 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 1 | |
| 6 | Gut microbiota-derived ursodeoxycholic acid alleviates low birth weight-induced colonic inflammation by enhancing M2 macrophage polarizationbreakdown → | 2023 | 85 |
| 7 | 2022 | 31 | |
| 8 | 2021 | 9 | |
| 9 | 2021 | 3 | |
| 10 | 2021 | 11 | |
| 11 | Identification of transport stress miRNAs in beef cattle by high-throughput sequencing and bioinformatics functional analysis. | 2020 | 2 |
| 12 | 2020 | 27 | |
| 13 | 2020 | 34 | |
| 14 | 2020 | 10 | |
| 15 | Contribution of PPARγ in modulation of LPS-induced reduction of milk lipid synthesis in bovine mammary epithelial cells. | 2019 | 1 |
| 16 | 2019 | 20 | |
| 17 | 2018 | 20 | |
| 18 | 2018 | 36 | |
| 19 | 2018 | 33 | |
| 20 | 2017 | 12 |
About Shuai Lian
Shuai Lian is a scholar working on Behavioral Neuroscience, Neurology and Developmental Neuroscience, having authored 70 papers that have together received 1.2k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (12 papers), Stress Responses and Cortisol (9 papers), MicroRNA in disease regulation (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Immune Response and Inflammation (7 papers), T-cell and Retrovirus Studies (5 papers), Birth, Development, and Health (5 papers) and Galectins and Cancer Biology (5 papers). The work is most often cited by research in Behavioral Neuroscience (85 citations), Biological Psychiatry (54 citations) and Cancer Research (186 citations). Shuai Lian has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Jianfa Wang, Huanmin Yang, Jingru Guo, Bin Xu, Shize Li, Rui Wu, Zhen Li, Ping Zhang, Wenjin Guo and Shize Li. Their work appears in journals such as Scientific Reports, Brain Research and International Journal of Molecular Sciences.
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.