Xia Fu
Impact in
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- Maternal Mental Health During Pregnancy and Postpartum
Papers in
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- Healthcare Education and Workforce Issues 1
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- Functional Brain Connectivity Studies 2
- Co-authors
- Jiaye Liu (2 shared papers)Zhongxiang Cai (1 shared paper)Zhongchun Liu (1 shared paper)Zhihui Li (1 shared paper)Ziyi Wang (1 shared paper)Wenhao Zhang (1 shared paper)Shuo Liu (1 shared paper)Bing Xiang Yang (1 shared paper)
- Journals
- Qualitative Health Research (1 paper)Journal of Psychiatric Research (1 paper)Frontiers in Neuroscience (1 paper)Journal of Affective Disorders (1 paper)Translational Psychiatry (1 paper)
- Partner nations
- ChinaNetherlands
In The Last Decade
Xia Fu
8 papers receiving 502 citations
Xia Fu's Hit Papers
Peers
Comparison fields: 5 of 51
- Public Health, Environmental and Occupational Health 386
- Biological Psychiatry 3
- Obstetrics and Gynecology 17
- Applied Psychology 8
- Clinical Psychology 30
Countries citing papers authored by Xia Fu
This map shows the geographic impact of Xia Fu'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 Xia Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xia Fu more than expected).
Fields of papers citing papers by Xia Fu
This network shows the impact of papers produced by Xia Fu. 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 Xia Fu. The network helps show where Xia Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xia Fu, 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 | Mapping global prevalence of depression among postpartum women Hit paper breakdown → | 2021 | 449 |
| 2 | 2022 | 36 | |
| 3 | 2021 | 10 | |
| 4 | 2021 | 9 | |
| 5 | 2021 | 6 | |
| 6 | 2024 | 2 | |
| 7 | 2025 | 2 | |
| 8 | Study on the influence of junior ICU nurses' Adversity Quotient on work engagement | 2016 | 1 |
About Xia Fu
Xia Fu is a scholar working on Leadership and Management, Cognitive Neuroscience, Research and Theory, Clinical Psychology and Nephrology, having authored 8 papers that have together received 515 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (2 papers), Nursing education and management (1 paper), Maternal Mental Health During Pregnancy and Postpartum (1 paper), Liver Disease Diagnosis and Treatment (1 paper), Healthcare Education and Workforce Issues (1 paper), Dialysis and Renal Disease Management (1 paper), COVID-19 and Mental Health (1 paper) and Job Satisfaction and Organizational Behavior (1 paper). The work is most often cited by research in Public Health, Environmental and Occupational Health (386 citations), Biological Psychiatry (3 citations), Obstetrics and Gynecology (17 citations), Applied Psychology (8 citations) and Clinical Psychology (30 citations). Xia Fu has collaborated with scholars based in China and Netherlands. Frequent co-authors include Jiaye Liu, Zhongxiang Cai, Zhongchun Liu, Zhihui Li, Ziyi Wang, Wenhao Zhang, Shuo Liu, Bing Xiang Yang, Yong Liu and Zhihui Li. Their work appears in journals such as Qualitative Health Research, Journal of Psychiatric Research, Frontiers in Neuroscience, Journal of Affective Disorders 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.