Ying Pin Toh
- Public Health, Environmental and Occupational Health top 5%
- Social Psychology top 5%
- Gender Studies top 2%
- General Health Professions top 5%
- Clinical Psychology top 10%
- Co-authors
- Lalit Kumar Radha KrishnaStephen MasonKuang Teck TayAnnelissa ChinYun Ting OngRavindran KanesvaranLorraine Hui En TanShirlyn Hui‐Shan Neo
- Topics
- Mentoring and Academic Development (24 papers)Innovations in Medical Education (14 papers)Diversity and Career in Medicine (14 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEJournal of General Internal Medicine
- Partner nations
- SingaporeUnited KingdomUnited Arab Emirates
In The Last Decade
Ying Pin Toh
30 papers receiving 795 citations
Peers
Comparison fields: 5 of 71
- Public Health, Environmental and Occupational Health 507
- Social Psychology 419
- Gender Studies 260
- General Health Professions 196
- Clinical Psychology 157
Countries citing papers authored by Ying Pin Toh
This map shows the geographic impact of Ying Pin Toh'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 Ying Pin Toh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Pin Toh more than expected).
Fields of papers citing papers by Ying Pin Toh
This network shows the impact of papers produced by Ying Pin Toh. 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 Ying Pin Toh. The network helps show where Ying Pin Toh may publish in the future.
Co-authorship network of co-authors of Ying Pin Toh
This figure shows the co-authorship network connecting the top 25 collaborators of Ying Pin Toh. A scholar is included among the top collaborators of Ying Pin Toh 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 Ying Pin Toh. Ying Pin Toh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 7 | |
| 3 | 27 | |
| 4 | 11 | |
| 5 | 16 | |
| 6 | 46 | |
| 7 | 11 | |
| 8 | 57 | |
| 9 | 24 | |
| 10 | 20 | |
| 11 | 46 | |
| 12 | 20 | |
| 13 | 11 | |
| 14 | 18 | |
| 15 | 38 | |
| 16 | 59 | |
| 17 | 54 | |
| 18 | 19 | |
| 19 | 22 | |
| 20 | 42 |
About Ying Pin Toh
Ying Pin Toh is a scholar working on Gender Studies, Social Psychology and Speech and Hearing, having authored 31 papers that have together received 812 indexed citations. Recurring topics across this work include Mentoring and Academic Development (24 papers), Innovations in Medical Education (14 papers) and Diversity and Career in Medicine (14 papers). The work is most often cited by research in Research and Theory (42 citations), Gender Studies (260 citations) and Social Psychology (419 citations). Ying Pin Toh has collaborated with scholars based in Singapore, United Kingdom and United Arab Emirates. Frequent co-authors include Lalit Kumar Radha Krishna, Stephen Mason, Kuang Teck Tay, Annelissa Chin, Yun Ting Ong, Ravindran Kanesvaran, Lorraine Hui En Tan, Shirlyn Hui‐Shan Neo, Clarissa Wei Shuen Cheong and Xiu Hui Tan. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of General Internal Medicine.
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.