Wan Jou She

469 citations
25 papers · 257 · h-index 9

Impact in

Papers in

Wan Jou She

18 papers receiving 255 citations

Peers

Wan Jou She
Comparison fields: 5 of 53
  • Applied Psychology 31
  • Human-Computer Interaction 37
  • Clinical Psychology 103
  • Health Informatics 6
  • Neuropsychology and Physiological Psychology 5
Replace Milagrosa Sánchez-Martín with:
Milagrosa Sánchez-Martín Spain
Pei‐Shan Yang Taiwan
Yvonne van Zaalen Netherlands
Lean L Kramer Netherlands
Eliane M. Boucher United States
Liyuan Wang United States
Silke ter Stal Netherlands
Hilbrand Oldenhuis Netherlands
Cinthia Caruso Italy
Silvia Rizzi Italy
Wan Jou She relative to Milagrosa Sánchez-Martín Spain Milagrosa Sánchez-Martín's profile →
Citations per field
00.5×4.2×
Milagrosa Sánchez-Martín · 1×
Citations per year

Countries citing papers authored by Wan Jou She

Since Specialization
Citations

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

Fields of papers citing papers by Wan Jou She

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202346
2 202244
3 202132
4 202426
5 202024
6 202120
7 202415
8 202512
9 202210
10 20245
11 20235
12 20254
13 20234
14 20223
15
Toward empowerment : screening prolonged grief disorder in the first six months of bereavement
20183
16 20222
17 20241
18 20251
19 20250
20 20240

About Wan Jou She

Wan Jou She is a scholar working on Social Psychology, Clinical Psychology, Applied Psychology, Human-Computer Interaction and Cognitive Neuroscience, having authored 25 papers that have together received 257 indexed citations. Recurring topics across this work include Grief, Bereavement, and Mental Health (7 papers), Digital Mental Health Interventions (6 papers), Virtual Reality Applications and Impacts (5 papers), Mental Health via Writing (3 papers), Recreation, Leisure, Wilderness Management (2 papers), Homelessness and Social Issues (2 papers), Mental Health Research Topics (2 papers) and Dementia and Cognitive Impairment Research (2 papers). The work is most often cited by research in Applied Psychology (31 citations), Human-Computer Interaction (37 citations), Clinical Psychology (103 citations), Health Informatics (6 citations) and Neuropsychology and Physiological Psychology (5 citations). Wan Jou She has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Holly G. Prigerson, Panote Siriaraya, Chee Siang Ang, Alexandra Covaci, Francesca Falzarano, James Gang, Robert A. Neimeyer, Paul K. Maciejewski, Wendy G. Lichtenthal and Eiman Kanjo. Their work appears in journals such as International Journal of Human-Computer Interaction, Interacting with Computers, Death Studies, IEEE Access and BJPsych Open.

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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