Xiaoman Dai
- Biological Psychiatry top 2%
- Tryptophan and brain disorders 10
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol 11
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms 6
- Physiology top 10%
- Alzheimer's disease research and treatments 10
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- Autophagy in Disease and Therapy 4
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- Nuclear Receptors and Signaling 3
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- Histone Deacetylase Inhibitors Research 3
- Mitochondrial Function and Pathology 2
- Co-authors
- Xiaochun ChenJing ZhangWenting FangQinyong YeXilin WuYuangui ZhuZhen WeiNaian Xiao
- Journals
- Journal of Affective Disorders (3 papers)Molecular Neurodegeneration (2 papers)PLoS ONE (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Xiaoman Dai
32 papers receiving 863 citations
Peers
Comparison fields: 5 of 87
- Biological Psychiatry 189
- Behavioral Neuroscience 98
- Neurology 157
- Physiology 357
- Aging 15
Countries citing papers authored by Xiaoman Dai
This map shows the geographic impact of Xiaoman Dai'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 Xiaoman Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoman Dai more than expected).
Fields of papers citing papers by Xiaoman Dai
This network shows the impact of papers produced by Xiaoman Dai. 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 Xiaoman Dai. The network helps show where Xiaoman Dai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaoman Dai, 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 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 1 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 39 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 14 | |
| 10 | 2022 | 21 | |
| 11 | 2021 | 11 | |
| 12 | 2021 | 30 | |
| 13 | 2020 | 28 | |
| 14 | 2020 | 50 | |
| 15 | 2020 | 13 | |
| 16 | 2019 | 118 | |
| 17 | 2016 | 30 | |
| 18 | 2016 | 16 | |
| 19 | 2015 | 1 | |
| 20 | 2012 | 44 |
About Xiaoman Dai
Xiaoman Dai is a scholar working on Biological Psychiatry, Behavioral Neuroscience, Neurology, Physiology and Molecular Medicine, having authored 38 papers that have together received 867 indexed citations. Recurring topics across this work include Stress Responses and Cortisol (11 papers), Alzheimer's disease research and treatments (10 papers), Tryptophan and brain disorders (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Autophagy in Disease and Therapy (4 papers), Nuclear Receptors and Signaling (3 papers), Histone Deacetylase Inhibitors Research (3 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Biological Psychiatry (189 citations), Behavioral Neuroscience (98 citations), Neurology (157 citations), Physiology (357 citations) and Aging (15 citations). Xiaoman Dai has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xiaochun Chen, Jing Zhang, Wenting Fang, Qinyong Ye, Xilin Wu, Yuangui Zhu, Zhen Wei, Naian Xiao, Weibin Huang and Guirong Zeng. Their work appears in journals such as Journal of Affective Disorders, Molecular Neurodegeneration, PLoS ONE, Biological Psychiatry and Behavioural Brain Research.
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.