Xiaofei Mao

419 citations
33 papers · 273 · h-index 9

Impact in

Papers in

Xiaofei Mao

26 papers receiving 268 citations

Peers

Xiaofei Mao
Comparison fields: 5 of 69
  • Clinical Psychology 99
  • Experimental and Cognitive Psychology 29
  • Health 17
  • Applied Psychology 10
  • Neuropsychology and Physiological Psychology 3
Replace Stevie N. Grassetti with:
Stevie N. Grassetti United States
Jane Tucker Australia
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Scott E. Anderson United States
Aleks Milosevic Canada
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Dolores Britvić Croatia
Monika Dargis United States
Lynn Mobach Netherlands
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Citations per field
00.5×2.9×
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Citations per year

Countries citing papers authored by Xiaofei Mao

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofei Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaofei Mao, 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 Xiaofei Mao Line = papers co-authored together Xiaofei Mao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202075
2 202137
3 202128
4 201522
5 202119
6 202313
7 202311
8 202311
9 20249
10 20208
11 20178
12 20257
13 20234
14 20183
15 20242
16 20232
17 20202
18 20232
19
Application of Drug Knowledge Base Based on Big Data Technology in Pediatric Clinical Drug Use
20192
20 20192

About Xiaofei Mao

Xiaofei Mao is a scholar working on Clinical Psychology, Experimental and Cognitive Psychology, General Health Professions, Cognitive Neuroscience and Electronic, Optical and Magnetic Materials, having authored 33 papers that have together received 273 indexed citations. Recurring topics across this work include COVID-19 and Mental Health (9 papers), Child and Adolescent Psychosocial and Emotional Development (4 papers), Sleep and related disorders (4 papers), Healthcare professionals’ stress and burnout (3 papers), Resilience and Mental Health (3 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (3 papers), Supercapacitor Materials and Fabrication (3 papers) and Neural and Behavioral Psychology Studies (2 papers). The work is most often cited by research in Clinical Psychology (99 citations), Experimental and Cognitive Psychology (29 citations), Health (17 citations), Applied Psychology (10 citations) and Neuropsychology and Physiological Psychology (3 citations). Xiaofei Mao has collaborated with scholars based in China and United States. Frequent co-authors include Tianya Hou, Wenpeng Cai, Wei Dong, Guanghui Deng, Jianguo Zhang, Wenhui Li, Youling Zeng, Ran Wei, Fan Zhang and Dong Wei. Their work appears in journals such as Scientific Reports, PLoS ONE, American Journal of Health Behavior, Frontiers in Psychiatry and Advanced Science.

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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