Ming‐Sound Tsao
- Oncology top 0.02%
- Lung Cancer Research Studies 65
- Pancreatic and Hepatic Oncology Research 47
- Colorectal Cancer Treatments and Studies 45
- Cancer Research top 0.05%
- Cancer Genomics and Diagnostics 111
- Pulmonary and Respiratory Medicine top 0.02%
- Lung Cancer Treatments and Mutations 220
- Lung Cancer Diagnosis and Treatment 92
- Molecular Biology top 0.1%
- RNA modifications and cancer 53
- PI3K/AKT/mTOR signaling in cancer 42
- Hepatology top 0.5%
- Co-authors
- Frances A. ShepherdChang‐Qi ZhuGilda da Cunha SantosNi LiuShawna OrganMelania PintilieLesley SeymourGeoffrey Liu
- Journals
- Nature (2 papers)New England Journal of Medicine (3 papers)Proceedings of the National Academy of Sciences (8 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Ming‐Sound Tsao
631 papers receiving 36.5k citations
Hit Papers
Peers
Comparison fields: 5 of 185
- Oncology 15.3k
- Cancer Research 8.3k
- Pulmonary and Respiratory Medicine 13.8k
- Molecular Biology 16.5k
- Hepatology 1.7k
Countries citing papers authored by Ming‐Sound Tsao
This map shows the geographic impact of Ming‐Sound Tsao'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 Ming‐Sound Tsao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming‐Sound Tsao more than expected).
Fields of papers citing papers by Ming‐Sound Tsao
This network shows the impact of papers produced by Ming‐Sound Tsao. 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 Ming‐Sound Tsao. The network helps show where Ming‐Sound Tsao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ming‐Sound Tsao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 50 | |
| 2 | 2019 | 30 | |
| 3 | 2019 | 204 | |
| 4 | 2018 | 20 | |
| 5 | 2017 | 28 | |
| 6 | 2017 | 12 | |
| 7 | 2016 | 40 | |
| 8 | 2015 | 10 | |
| 9 | 2015 | 48 | |
| 10 | 2012 | 24 | |
| 11 | 2012 | 14 | |
| 12 | 2012 | 49 | |
| 13 | 2011 | 38 | |
| 14 | 2009 | 85 | |
| 15 | Role of KRAS and EGFR As Biomarkers of Response to Erlotinib in National Cancer Institute of Canada Clinical Trials Group Study BR.21breakdown → | 2008 | 561 |
| 16 | 2008 | 97 | |
| 17 | 2007 | 189 | |
| 18 | 2006 | 401 | |
| 19 | 2005 | 94 | |
| 20 | 2004 | 39 |
About Ming‐Sound Tsao
Ming‐Sound Tsao is a scholar working on Cancer Research, Oncology and Pulmonary and Respiratory Medicine, having authored 653 papers that have together received 37.2k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (220 papers), Cancer Genomics and Diagnostics (111 papers), Lung Cancer Diagnosis and Treatment (92 papers), Lung Cancer Research Studies (65 papers), RNA modifications and cancer (53 papers), Pancreatic and Hepatic Oncology Research (47 papers), Colorectal Cancer Treatments and Studies (45 papers) and PI3K/AKT/mTOR signaling in cancer (42 papers). The work is most often cited by research in Oncology (15.3k citations), Cancer Research (8.3k citations) and Pulmonary and Respiratory Medicine (13.8k citations). Ming‐Sound Tsao has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Frances A. Shepherd, Chang‐Qi Zhu, Gilda da Cunha Santos, Ni Liu, Shawna Organ, Melania Pintilie, Lesley Seymour, Geoffrey Liu, Suzanne Kamel‐Reid and Igor Jurišica. Their work appears in journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.
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.