Ming‐Sound Tsao

113.7k citations
653 papers · 37.2k indexed · 10 hit papers · h-index 98
Topics
Lung Cancer Treatments and Mutations (220 papers)Cancer Genomics and Diagnostics (111 papers)Lung Cancer Diagnosis and Treatment (92 papers)

In The Last Decade

Ming‐Sound Tsao

631 papers receiving 36.5k citations

Hit Papers

Erlotinib in Lung Cancer — Molecular and Clinical Predict...2000202620082017200520002021202120114008001.2k

Peers

Ming‐Sound Tsao
Comparison fields: 5 of 185
  • Molecular Biology 16.5k
  • Oncology 15.3k
  • Pulmonary and Respiratory Medicine 13.8k
  • Cancer Research 8.3k
  • Surgery 3.0k
Replace Masaki Mori with:
Masaki Mori Japan
Elizabeth A. Eisenhauer Canada
Yuichiro� Doki Japan
James L. Abbruzzese United States
Daniel J. Hicklin United States
Fortunato Ciardiello Italy
Denis Lacombe Belgium
Jean‐Charles Soria France
Jeffrey A. Engelman United States
Daniel D. Von Hoff United States
Ming‐Sound Tsao relative to Masaki Mori Japan Masaki Mori's profile →
Citations per field
00.5×1.5×
Masaki Mori · 1×
Citations per year

Countries citing papers authored by Ming‐Sound Tsao

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Ming‐Sound Tsao

This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Sound Tsao. A scholar is included among the top collaborators of Ming‐Sound Tsao 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 Ming‐Sound Tsao. Ming‐Sound Tsao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 50
2 30
3 204
4 20
5 28
6 12
7 40
8 10
9 48
10 24
11 14
12 49
13 38
14 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 →
561
16 97
17 189
18 401
19 94
20 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) and Lung Cancer Diagnosis and Treatment (92 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.

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