Qu Shen

1.5k total citations · 1 hit paper
22 papers, 924 citations indexed

About

Qu Shen is a scholar working on Social Psychology, General Health Professions and Clinical Psychology. According to data from OpenAlex, Qu Shen has authored 22 papers receiving a total of 924 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Social Psychology, 6 papers in General Health Professions and 5 papers in Clinical Psychology. Recurrent topics in Qu Shen's work include COVID-19 and Mental Health (5 papers), Cancer survivorship and care (4 papers) and Healthcare professionals’ stress and burnout (4 papers). Qu Shen is often cited by papers focused on COVID-19 and Mental Health (5 papers), Cancer survivorship and care (4 papers) and Healthcare professionals’ stress and burnout (4 papers). Qu Shen collaborates with scholars based in China, Singapore and United States. Qu Shen's co-authors include Hong He, Jiemin Zhu, Wengang Li, Yue Kong, Deying Hu, Su Wei Wan, Li Zhu, Qiuying Han, Xin Zhang and Tingting Yin and has published in prestigious journals such as International Journal of Environmental Research and Public Health, Journal of Advanced Nursing and Medicine.

In The Last Decade

Qu Shen

20 papers receiving 878 citations

Hit Papers

Frontline nurses’ burnout, anxiety, depression, and fear ... 2020 2026 2022 2024 2020 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Frontline nurses’ burnout, anxiety, depression, and fear statuses and their associated factors during the COVID-19 outbreak in Wuhan, China: A large-scale cross-sectional study
    2020 664 citations Deying Hu, Yue Kong et al. EClinicalMedicine profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Qu Shen China 11 626 544 127 112 81 22 924
Johannes H. De Kock United Kingdom 9 517 0.8× 479 0.9× 124 1.0× 85 0.8× 47 0.6× 28 797
Esther Murray United Kingdom 8 498 0.8× 397 0.7× 80 0.6× 81 0.7× 50 0.6× 15 817
Yanli You China 3 758 1.2× 379 0.7× 90 0.7× 183 1.6× 92 1.1× 4 925
Deying Hu China 13 939 1.5× 670 1.2× 145 1.1× 143 1.3× 143 1.8× 35 1.3k
Sulaiman Al Sabei Oman 17 387 0.6× 445 0.8× 134 1.1× 39 0.3× 83 1.0× 63 1.0k
Siamak Moayedi United States 12 351 0.6× 236 0.4× 69 0.5× 55 0.5× 58 0.7× 43 642
Austyn Snowden United Kingdom 19 307 0.5× 342 0.6× 209 1.6× 52 0.5× 154 1.9× 96 1.0k
Loai Abu Sharour Jordan 12 252 0.4× 194 0.4× 72 0.6× 53 0.5× 78 1.0× 49 670
Ibrahim Alananzeh Australia 11 476 0.8× 373 0.7× 56 0.4× 91 0.8× 93 1.1× 29 777
Μαρία Μαλλιαρού Greece 15 341 0.5× 533 1.0× 129 1.0× 30 0.3× 93 1.1× 97 954

Countries citing papers authored by Qu Shen

Since Specialization
Citations

This map shows the geographic impact of Qu Shen'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 Qu Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qu Shen more than expected).

Fields of papers citing papers by Qu Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qu Shen. 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 Qu Shen. The network helps show where Qu Shen may publish in the future.

Co-authorship network of co-authors of Qu Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Qu Shen. A scholar is included among the top collaborators of Qu Shen 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 Qu Shen. Qu Shen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhu, Kongyang, Yu Xu, Rui Wang, et al.. (2025). Ancient genomes reveal the genetic legacy of domestic goats on the Tibetan Plateau ~3,600 years ago. 动物学研究. 0(0). 0–0. 1 indexed citations
2.
Yang, Tiantian, et al.. (2025). Symptom clusters, fear of disease progression, and quality of life in postoperative gastric cancer patients: a cross-sectional study. Supportive Care in Cancer. 33(3). 219–219. 1 indexed citations
3.
Wang, Rui, Hao Ma, Zhengkai Tu, et al.. (2024). Ancient genomic time transect unravels the population dynamics of Neolithic middle Yellow River farmers. Science Bulletin. 69(21). 3365–3370. 9 indexed citations
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Wang, Lijun, Guoqiang Su, Qing Chen, et al.. (2024). The relationship between physical activity, self-efficacy and quality of life in colorectal cancer survivors: a multicenter cross-sectional study. Discover Oncology. 15(1). 4–4. 1 indexed citations
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Liu, Junyang, et al.. (2023). Factors influencing turnover intention among male nurses in China: A large‐scale descriptive correlational study. International Nursing Review. 71(1). 13–19. 14 indexed citations
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Liu, Yifei, Yao Jie Xie, Wengang Li, et al.. (2022). Anxiety, depression and post-traumatic stress disorder and related factors among Chinese population during the COVID-19 pandemic: A cross-sectional study. Medicine. 101(51). e32336–e32336. 1 indexed citations
10.
Chan, Sally Wai‐Chi, Yue Kong, Jianguo Fu, et al.. (2021). Frontline nurses’ willingness to work during the COVID‐19 pandemic: A mixed‐methods study. Journal of Advanced Nursing. 77(9). 3880–3893. 35 indexed citations
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Zha, Peijia, Ganga Mahat, Rubab Qureshi, et al.. (2021). Utilising a WeChat intervention to improve HIV and AIDS education among college students in China. Health Education Journal. 80(8). 1002–1013. 9 indexed citations
13.
Shen, Qu, et al.. (2021). Effects of Internet-Based Support Program on Parenting Outcomes for Primiparous Women: A Pilot Study. International Journal of Environmental Research and Public Health. 18(9). 4402–4402. 13 indexed citations
14.
Hu, Deying, Yue Kong, Wengang Li, et al.. (2020). Frontline nurses’ burnout, anxiety, depression, and fear statuses and their associated factors during the COVID-19 outbreak in Wuhan, China: A large-scale cross-sectional study. EClinicalMedicine. 24. 100424–100424. 664 indexed citations breakdown →
15.
Yin, Tingting, et al.. (2020). Relationships between sleep quality, mindfulness and work-family conflict in Chinese nurses: A cross-sectional study. Applied Nursing Research. 55. 151250–151250. 35 indexed citations
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Zhu, Jiemin, et al.. (2017). Development of a mobile application of Breast Cancer e-Support program for women with breast cancer undergoing chemotherapy. Technology and Health Care. 25(2). 377–382. 17 indexed citations
19.
Zheng, Xujuan, Jane Morrell, Kim Watts, Qu Shen, & Huiyan Zhang. (2013). Maternal and child health services in China. British Journal of Midwifery. 21(9). 664–671. 2 indexed citations
20.
Shen, Qu, Gwen Sherwood, Jeanette McNeill, & Zheng Li. (2008). Postoperative Pain Management Outcome in Chinese Inpatients. Western Journal of Nursing Research. 30(8). 975–990. 33 indexed citations

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.

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