Mei Ling Yap
- Radiology, Nuclear Medicine and Imaging top 10%
- Oncology
- Radiation top 5%
- Pulmonary and Respiratory Medicine
- Public Health, Environmental and Occupational Health
- Co-authors
- Danielle RodinFábio Ynoe de MoraesEduardo ZubizarretaSurbhi GroverYolande LievensMarianne WeberKaren CanfellDavid Goldsbury
- Topics
- Advances in Oncology and Radiotherapy (20 papers)Advanced Radiotherapy Techniques (16 papers)Global Cancer Incidence and Screening (15 papers)
- Journals
- The Lancet OncologyInternational Journal of Radiation Oncology*Biology*PhysicsRadiotherapy and Oncology
- Partner nations
- AustraliaCanadaUnited States
In The Last Decade
Mei Ling Yap
40 papers receiving 395 citations
Peers
Comparison fields: 5 of 74
- Radiology, Nuclear Medicine and Imaging 164
- Oncology 128
- Radiation 121
- Pulmonary and Respiratory Medicine 91
- Public Health, Environmental and Occupational Health 63
Countries citing papers authored by Mei Ling Yap
This map shows the geographic impact of Mei Ling 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 Mei Ling Yap with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei Ling Yap more than expected).
Fields of papers citing papers by Mei Ling Yap
This network shows the impact of papers produced by Mei Ling 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 Mei Ling Yap. The network helps show where Mei Ling Yap may publish in the future.
Co-authorship network of co-authors of Mei Ling Yap
This figure shows the co-authorship network connecting the top 25 collaborators of Mei Ling Yap. A scholar is included among the top collaborators of Mei Ling Yap 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 Mei Ling Yap. Mei Ling Yap is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 8 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 9 | |
| 9 | 6 | |
| 10 | 39 | |
| 11 | 4 | |
| 12 | 53 | |
| 13 | 2 | |
| 14 | 9 | |
| 15 | 4 | |
| 16 | 7 | |
| 17 | 9 | |
| 18 | 34 | |
| 19 | 7 | |
| 20 | 4 |
About Mei Ling Yap
Mei Ling Yap is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Neuropsychology and Physiological Psychology, having authored 41 papers that have together received 401 indexed citations. Recurring topics across this work include Advances in Oncology and Radiotherapy (20 papers), Advanced Radiotherapy Techniques (16 papers) and Global Cancer Incidence and Screening (15 papers). The work is most often cited by research in Radiation (121 citations), Radiology, Nuclear Medicine and Imaging (164 citations) and Oncology (128 citations). Mei Ling Yap has collaborated with scholars based in Australia, Canada and United States. Frequent co-authors include Danielle Rodin, Fábio Ynoe de Moraes, Eduardo Zubizarreta, Surbhi Grover, Yolande Lievens, Marianne Weber, Karen Canfell, David Goldsbury, Osama Mohamad and Bouchra Tawk. Their work appears in journals such as The Lancet Oncology, International Journal of Radiation Oncology*Biology*Physics and Radiotherapy and Oncology.
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.