Rina Hui
- Oncology top 0.05%
- Pulmonary and Respiratory Medicine top 0.1%
- Immunology top 0.5%
- Cancer Research top 0.5%
- Molecular Biology top 5%
- Co-authors
- Delvys Rodríguez‐AbreuNir PeledMartin ReckSinéad CuffeAli TafreshiMaya GottfriedKatsuyuki HottaJulie R. Brahmer
- Topics
- Cancer Immunotherapy and Biomarkers (96 papers)Lung Cancer Treatments and Mutations (66 papers)Lung Cancer Diagnosis and Treatment (31 papers)
- Partner nations
- AustraliaUnited StatesSpain
In The Last Decade
Rina Hui
165 papers receiving 14.1k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Oncology 11.4k
- Pulmonary and Respiratory Medicine 7.3k
- Immunology 2.5k
- Cancer Research 1.9k
- Molecular Biology 1.9k
Countries citing papers authored by Rina Hui
This map shows the geographic impact of Rina Hui'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 Rina Hui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rina Hui more than expected).
Fields of papers citing papers by Rina Hui
This network shows the impact of papers produced by Rina Hui. 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 Rina Hui. The network helps show where Rina Hui may publish in the future.
Co-authorship network of co-authors of Rina Hui
This figure shows the co-authorship network connecting the top 25 collaborators of Rina Hui. A scholar is included among the top collaborators of Rina Hui 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 Rina Hui. Rina Hui 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 | Event-free survival by residual cancer burden with pembrolizumab in early-stage TNBC: exploratory analysis from KEYNOTE-522breakdown → | 47 |
| 3 | 3 | |
| 4 | 20 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 11 | |
| 10 | 3 | |
| 11 | 18 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 4 | |
| 15 | 2 | |
| 16 | Phase Ib/II study evaluating safety and efficacy of Pembrolizumab and Trastuzumab in patients with Trastuzumab-resistant HER2-positive advanced breast cancer : results from the PANACEA study (IBCSG 45-13/BIG 4-13/KEYNOTE-014) | 5 |
| 17 | 10 | |
| 18 | 88 | |
| 19 | 64 | |
| 20 | 55 |
About Rina Hui
Rina Hui is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 173 papers that have together received 14.2k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (96 papers), Lung Cancer Treatments and Mutations (66 papers) and Lung Cancer Diagnosis and Treatment (31 papers). The work is most often cited by research in Oncology (11.4k citations), Pulmonary and Respiratory Medicine (7.3k citations) and Cancer Research (1.9k citations). Rina Hui has collaborated with scholars based in Australia, United States and Spain. Frequent co-authors include Delvys Rodríguez‐Abreu, Nir Peled, Martin Reck, Sinéad Cuffe, Ali Tafreshi, Maya Gottfried, Katsuyuki Hotta, Julie R. Brahmer, Andrew Robinson and Tibor Csőszi. Their work appears in journals such as New England Journal of Medicine, Journal of Biological Chemistry and Journal of Clinical 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.