Christina Yap
- Molecular Biology
- Surgery top 10%
- Statistics and Probability top 1%
- Public Health, Environmental and Occupational Health top 5%
- Infectious Diseases top 5%
- Co-authors
- Joshua Z. GoldenbergCalvin Ka-Fung LoJennifer BeardsleyDominik MertzBradley C. JohnstonLyubov LytvynJames WasonChristopher J. Weir
- Topics
- Statistical Methods in Clinical Trials (34 papers)Health Systems, Economic Evaluations, Quality of Life (30 papers)Meta-analysis and systematic reviews (15 papers)
- Journals
- Nature CommunicationsJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- United KingdomUnited StatesMalaysia
In The Last Decade
Christina Yap
107 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Molecular Biology 435
- Surgery 399
- Statistics and Probability 397
- Public Health, Environmental and Occupational Health 340
- Infectious Diseases 280
Countries citing papers authored by Christina Yap
This map shows the geographic impact of Christina 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 Christina Yap with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christina Yap more than expected).
Fields of papers citing papers by Christina Yap
This network shows the impact of papers produced by Christina 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 Christina Yap. The network helps show where Christina Yap may publish in the future.
Co-authorship network of co-authors of Christina Yap
This figure shows the co-authorship network connecting the top 25 collaborators of Christina Yap. A scholar is included among the top collaborators of Christina 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 Christina Yap. Christina 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 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 16 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 17 | |
| 11 | 8 | |
| 12 | 6 | |
| 13 | 26 | |
| 14 | 7 | |
| 15 | 50 | |
| 16 | 21 | |
| 17 | 90 | |
| 18 | 2 | |
| 19 | RUXOLITINIB COMPARED WITH BEST AVAILABLE THERAPY FOR ESSENTIAL THROMBOCYTHAEMIA PATIENTS RESISTANT OR INTOLERANT TO HYDROXYCARBAMIDE IN MAJIC - AN INVESTIGATOR LEAD RANDOMIZED TRIAL | 1 |
| 20 | 27 |
About Christina Yap
Christina Yap is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Hematology, having authored 113 papers that have together received 2.4k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (34 papers), Health Systems, Economic Evaluations, Quality of Life (30 papers) and Meta-analysis and systematic reviews (15 papers). The work is most often cited by research in Statistics and Probability (397 citations), Hepatology (214 citations) and Hematology (261 citations). Christina Yap has collaborated with scholars based in United Kingdom, United States and Malaysia. Frequent co-authors include Joshua Z. Goldenberg, Calvin Ka-Fung Lo, Jennifer Beardsley, Dominik Mertz, Bradley C. Johnston, Lyubov Lytvyn, James Wason, Christopher J. Weir, Adrian Mander and Thomas Jaki. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.