Jianyu Que

46 papers receiving 2.2k citations

Jianyu Que's Hit Papers

The impact of quarantine on mental health status among general population in China during the COVID-19 pandemic 2021 · 210 citations
2100+2+4Years since publication100200300400

Peers

Jianyu Que
Comparison fields: 5 of 135
  • Biological Psychiatry 262
  • Behavioral Neuroscience 142
  • Clinical Psychology 607
  • Experimental and Cognitive Psychology 251
  • Applied Psychology 54
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Citations per year

Countries citing papers authored by Jianyu Que

Since Specialization
Citations

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

Fields of papers citing papers by Jianyu Que

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jianyu Que, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jianyu Que Line = papers co-authored together Jianyu Que links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Depression and anxiety in relation to cancer incidence and mortality: a systematic review and meta-analysis of cohort studies
Hit paper breakdown →
2019496
2
Psychological impact of the COVID‐19 pandemic on healthcare workers: a cross‐sectional study in China
Hit paper breakdown →
2020369
3
Peripheral cytokine levels and response to antidepressant treatment in depression: a systematic review and meta-analysis
Hit paper breakdown →
2019324
4
The impact of quarantine on mental health status among general population in China during the COVID-19 pandemic
Hit paper breakdown →
2021210
5 201784
6 202175
7 202266
8 201864
9 202357
10 202051
11 202132
12 202131
13 202029
14 202029
15 202226
16 202124
17 201819
18 202018
19 202217
20 201917

About Jianyu Que

Jianyu Que is a scholar working on Experimental and Cognitive Psychology, Clinical Psychology, Cognitive Neuroscience, Social Psychology and Endocrine and Autonomic Systems, having authored 49 papers that have together received 2.2k indexed citations. Recurring topics across this work include COVID-19 and Mental Health (12 papers), Sleep and related disorders (10 papers), Sleep and Wakefulness Research (6 papers), Circadian rhythm and melatonin (5 papers), Memory and Neural Mechanisms (5 papers), Long-Term Effects of COVID-19 (4 papers), Neuroscience and Neuropharmacology Research (3 papers) and Mental Health Treatment and Access (3 papers). The work is most often cited by research in Biological Psychiatry (262 citations), Behavioral Neuroscience (142 citations), Clinical Psychology (607 citations), Experimental and Cognitive Psychology (251 citations) and Applied Psychology (54 citations). Jianyu Que has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yanping Bao, Lin Lü, Le Shi, Jie Shi, Yunhe Wang, Kai Yuan, Jiajia Liu, Jiahui Deng, Mao‐Sheng Ran and Yankun Sun. Their work appears in journals such as Translational Psychiatry, Sleep Medicine Reviews, Sleep Medicine, Molecular Psychiatry and The Lancet.

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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