Xiao Wan

627 total citations
23 papers, 384 citations indexed

About

Xiao Wan is a scholar working on Clinical Psychology, Social Psychology and Sociology and Political Science. According to data from OpenAlex, Xiao Wan has authored 23 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Clinical Psychology, 6 papers in Social Psychology and 5 papers in Sociology and Political Science. Recurrent topics in Xiao Wan's work include Perfectionism, Procrastination, Anxiety Studies (5 papers), Posttraumatic Stress Disorder Research (3 papers) and Childhood Cancer Survivors' Quality of Life (3 papers). Xiao Wan is often cited by papers focused on Perfectionism, Procrastination, Anxiety Studies (5 papers), Posttraumatic Stress Disorder Research (3 papers) and Childhood Cancer Survivors' Quality of Life (3 papers). Xiao Wan collaborates with scholars based in China and Hong Kong. Xiao Wan's co-authors include Chaoran Chen, Haitao Huang, Yueming Ding, Guangli Lu, Ruiying Jia, Zhenxing Xie, Yipei Liang, Qianwen Peng, Yiming Zhang and Jia Shang and has published in prestigious journals such as Scientific Reports, International Journal of Environmental Research and Public Health and Frontiers in Psychology.

In The Last Decade

Xiao Wan

22 papers receiving 375 citations

Peers

Xiao Wan
Comparison fields: 5 of 74
  • Clinical Psychology 137
  • Sociology and Political Science 126
  • Social Psychology 50
  • Health 47
  • Food Science 46
Replace Joshua Rivenbark with:
Joshua Rivenbark United States
Elena Canzi Italy
Ruiying Jia China
Elizabeth R. Bird United States
Abdullah Sarwer Pakistan
Caitlin Monahan United States
Gonzalo del Moral Arroyo Spain
Seung-Gon Kim South Korea
Özkan Görgülü Türkiye
Adam R. Roth United States
Joshua Rivenbark United States View profile →
Citations per field, relative to Xiao Wan
Xiao Wan · 1×
Citations per year, relative to Xiao Wan
Xiao Wan · 1×

Countries citing papers authored by Xiao Wan

Since Specialization
Citations

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

Fields of papers citing papers by Xiao Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiao Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Xiao Wan. A scholar is included among the top collaborators of Xiao Wan 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 Xiao Wan. Xiao Wan 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
# Work Indexed citations
1 3
2 0
3 6
4 2
5 7
6 15
7 2
8 37
9 16
10 19
11 18
12 13
13 9
14 23
15 10
16 6
17 25
18 25
19 36
20 5

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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