Xiaoman Dai
Impact in
- Biological Psychiatry top 2%
- Tryptophan and brain disorders
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol
Papers in
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- Stress Responses and Cortisol 8
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- Alzheimer's disease research and treatments 4
- Co-authors
- Xiaochun Chen (26 shared papers)Jing Zhang (22 shared papers)Wenting Fang (12 shared papers)Qinyong Ye (13 shared papers)Xilin Wu (6 shared papers)Yuangui Zhu (7 shared papers)Zhen Wei (6 shared papers)Naian Xiao (7 shared papers)
- Journals
- Journal of Affective Disorders (3 papers)Molecular Neurodegeneration (2 papers)PLoS ONE (2 papers)Molecular Neurobiology (1 paper)Translational Psychiatry (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Xiaoman Dai
36 papers receiving 932 citations
Peers
Comparison fields: 5 of 79
- Biological Psychiatry 158
- Behavioral Neuroscience 71
- Neurology 141
- Physiology 319
- Aging 16
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-authors
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
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 124 | |
| 2 | 2016 | 85 | |
| 3 | 2016 | 80 | |
| 4 | 2020 | 56 | |
| 5 | 2015 | 52 | |
| 6 | 2023 | 49 | |
| 7 | 2015 | 45 | |
| 8 | 2012 | 45 | |
| 9 | 2019 | 37 | |
| 10 | 2022 | 33 | |
| 11 | 2021 | 33 | |
| 12 | 2016 | 31 | |
| 13 | 2016 | 30 | |
| 14 | 2010 | 29 | |
| 15 | 2020 | 28 | |
| 16 | 2022 | 22 | |
| 17 | 2023 | 19 | |
| 18 | 2020 | 18 | |
| 19 | 2020 | 17 | |
| 20 | 2016 | 17 |
About Xiaoman Dai
Xiaoman Dai is a scholar working on Behavioral Neuroscience, Physiology, Molecular Biology, Cellular and Molecular Neuroscience and Biological Psychiatry, having authored 38 papers that have together received 937 indexed citations. Recurring topics across this work include Stress Responses and Cortisol (8 papers), Tryptophan and brain disorders (6 papers), Alzheimer's disease research and treatments (4 papers), Nuclear Receptors and Signaling (3 papers), Autophagy in Disease and Therapy (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Genetic Neurodegenerative Diseases (2 papers) and Bipolar Disorder and Treatment (2 papers). The work is most often cited by research in Biological Psychiatry (158 citations), Behavioral Neuroscience (71 citations), Neurology (141 citations), Physiology (319 citations) and Aging (16 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, Molecular Neurobiology and Translational Psychiatry.
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.