Nicholas W. Choong
- Oncology top 1%
- Molecular Biology top 5%
- Pulmonary and Respiratory Medicine top 5%
- Surgery
- Computational Theory and Mathematics top 2%
- Co-authors
- Grant A. McArthurAntoni RibasStephen P. HackLuis de la Cruz‐MerinoIlsung ChangBrigitte DrénoMika A. SovakJames Larkin
- Topics
- Lung Cancer Treatments and Mutations (15 papers)Melanoma and MAPK Pathways (14 papers)Lung Cancer Research Studies (8 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Nicholas W. Choong
47 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Oncology 1.8k
- Molecular Biology 1.7k
- Pulmonary and Respiratory Medicine 595
- Surgery 277
- Computational Theory and Mathematics 272
Countries citing papers authored by Nicholas W. Choong
This map shows the geographic impact of Nicholas W. Choong'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 Nicholas W. Choong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas W. Choong more than expected).
Fields of papers citing papers by Nicholas W. Choong
This network shows the impact of papers produced by Nicholas W. Choong. 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 Nicholas W. Choong. The network helps show where Nicholas W. Choong may publish in the future.
Co-authorship network of co-authors of Nicholas W. Choong
This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas W. Choong. A scholar is included among the top collaborators of Nicholas W. Choong 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 Nicholas W. Choong. Nicholas W. Choong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 39 | |
| 2 | 14 | |
| 3 | 22 | |
| 4 | 201 | |
| 5 | Combined Vemurafenib and Cobimetinib in BRAF -Mutated Melanomabreakdown → | 1491 |
| 6 | 6 | |
| 7 | 36 | |
| 8 | 21 | |
| 9 | 96 | |
| 10 | 39 | |
| 11 | 2 | |
| 12 | 5 | |
| 13 | 94 | |
| 14 | 56 | |
| 15 | 1 | |
| 16 | 40 | |
| 17 | 215 | |
| 18 | 19 | |
| 19 | 6 | |
| 20 | 40 |
About Nicholas W. Choong
Nicholas W. Choong is a scholar working on Otorhinolaryngology, Oncology and Pulmonary and Respiratory Medicine, having authored 48 papers that have together received 2.8k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (15 papers), Melanoma and MAPK Pathways (14 papers) and Lung Cancer Research Studies (8 papers). The work is most often cited by research in Oncology (1.8k citations), Otorhinolaryngology (139 citations) and Molecular Biology (1.7k citations). Nicholas W. Choong has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Grant A. McArthur, Antoni Ribas, Stephen P. Hack, Luis de la Cruz‐Merino, Ilsung Chang, Brigitte Dréno, Mika A. Sovak, James Larkin, L. Thomas and Michele Maio. 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.