John Yap
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Human-Computer Interaction top 5%
- Virtual Reality Applications and Impacts
Papers in
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- Educational Games and Gamification 8
- Innovative Teaching and Learning Methods 2
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- Simulation-Based Education in Healthcare 5
- Co-authors
- Emily Ang (5 shared papers)Shefaly Shorey (3 shared papers)Esperanza Debby Ng (3 shared papers)Siew Tiang Lau (3 shared papers)Chee‐Kong Chui (1 shared paper)Sok Ying Liaw (5 shared papers)Betsy Seah (1 shared paper)Wei Ling Chua (1 shared paper)
In The Last Decade
John Yap
21 papers receiving 571 citations
John Yap's Hit Papers
Peers
Comparison fields: 5 of 87
- Health Informatics 98
- Human-Computer Interaction 83
- Leadership and Management 12
- Research and Theory 5
- Computer Science Applications 33
Countries citing papers authored by John Yap
This map shows the geographic impact of John Yap'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 John Yap with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Yap more than expected).
Fields of papers citing papers by John Yap
This network shows the impact of papers produced by John Yap. 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 John Yap. The network helps show where John Yap may publish in the future.
Co-authors
The 25 scholars most cited alongside John Yap, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 153 | |
| 2 | Artificial intelligence in virtual reality simulation for interprofessional communication training: Mixed method study Hit paper breakdown → | 2023 | 122 |
| 3 | 2020 | 94 | |
| 4 | 2020 | 52 | |
| 5 | 2019 | 33 | |
| 6 | 2019 | 25 | |
| 7 | 2023 | 23 | |
| 8 | 2023 | 23 | |
| 9 | 2015 | 16 | |
| 10 | 2023 | 12 | |
| 11 | 2011 | 6 | |
| 12 | 2021 | 5 | |
| 13 | 2025 | 3 | |
| 14 | 2015 | 3 | |
| 15 | 2011 | 3 | |
| 16 | 2021 | 2 | |
| 17 | 2025 | 2 | |
| 18 | 2020 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2011 | 1 |
About John Yap
John Yap is a scholar working on Developmental and Educational Psychology, Physiology, Education, General Health Professions and Human-Computer Interaction, having authored 21 papers that have together received 581 indexed citations. Recurring topics across this work include Educational Games and Gamification (8 papers), Simulation-Based Education in Healthcare (5 papers), Virtual Reality Applications and Impacts (3 papers), Interprofessional Education and Collaboration (2 papers), Empathy and Medical Education (2 papers), Innovative Teaching and Learning Methods (2 papers), Asian Culture and Media Studies (1 paper) and Healthcare professionals’ stress and burnout (1 paper). The work is most often cited by research in Health Informatics (98 citations), Human-Computer Interaction (83 citations), Leadership and Management (12 citations), Research and Theory (5 citations) and Computer Science Applications (33 citations). John Yap has collaborated with scholars based in Singapore, France and Malaysia. Frequent co-authors include Emily Ang, Shefaly Shorey, Esperanza Debby Ng, Siew Tiang Lau, Chee‐Kong Chui, Sok Ying Liaw, Betsy Seah, Wei Ling Chua, Wentao Zhou and Siriwan Lim. Their work appears in journals such as Nurse Education Today, Journal of Medical Internet Research, CIN Computers Informatics Nursing, JMIR Medical Education and Medical Education Online.
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.