Shenxun Shi
- Cognitive Neuroscience top 10%
- Public Health, Environmental and Occupational Health top 10%
- Psychiatry and Mental health top 10%
- Biological Psychiatry top 5%
- Clinical Psychology
- Co-authors
- Yiyun CaiYifeng XuAnirban DuttElvira BramonYing ZhaoJianfeng LuoIrene KaneMichelle L. Munro‐Kramer
- Topics
- Functional Brain Connectivity Studies (10 papers)Maternal Mental Health During Pregnancy and Postpartum (8 papers)Tryptophan and brain disorders (7 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Shenxun Shi
40 papers receiving 677 citations
Peers
Comparison fields: 5 of 88
- Cognitive Neuroscience 152
- Public Health, Environmental and Occupational Health 143
- Psychiatry and Mental health 122
- Biological Psychiatry 109
- Clinical Psychology 104
Countries citing papers authored by Shenxun Shi
This map shows the geographic impact of Shenxun Shi'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 Shenxun Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shenxun Shi more than expected).
Fields of papers citing papers by Shenxun Shi
This network shows the impact of papers produced by Shenxun Shi. 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 Shenxun Shi. The network helps show where Shenxun Shi may publish in the future.
Co-authorship network of co-authors of Shenxun Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Shenxun Shi. A scholar is included among the top collaborators of Shenxun Shi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shenxun Shi. Shenxun Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 15 | |
| 5 | 20 | |
| 6 | 28 | |
| 7 | 11 | |
| 8 | 19 | |
| 9 | 3 | |
| 10 | 32 | |
| 11 | 9 | |
| 12 | 11 | |
| 13 | 33 | |
| 14 | 12 | |
| 15 | 1 | |
| 16 | 3 | |
| 17 | 42 | |
| 18 | 41 | |
| 19 | 7 | |
| 20 | Responses with Sad Emotional Processing in First-onset Major Depressive Disorder by Antidepressant Treatment Investigated with Functional MRI | 0 |
About Shenxun Shi
Shenxun Shi is a scholar working on Biological Psychiatry, Behavioral Neuroscience and Obstetrics and Gynecology, having authored 43 papers that have together received 688 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (10 papers), Maternal Mental Health During Pregnancy and Postpartum (8 papers) and Tryptophan and brain disorders (7 papers). The work is most often cited by research in Biological Psychiatry (109 citations), Behavioral Neuroscience (79 citations) and Psychiatry and Mental health (122 citations). Shenxun Shi has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yiyun Cai, Yifeng Xu, Anirban Dutt, Elvira Bramon, Ying Zhao, Jianfeng Luo, Irene Kane, Michelle L. Munro‐Kramer, Beibei Shen and Weijun Tang. Their work appears in journals such as Journal of Affective Disorders, Neuroreport and Psychiatry 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.