Min‐Liang Kuo
- Molecular Biology top 0.5%
- Oncology top 0.5%
- Cancer Research top 0.5%
- Immunology top 1%
- Pulmonary and Respiratory Medicine top 2%
- Co-authors
- Ming‐Tsan LinLin‐Hung WeiPan‐Chyr YangYung‐Ming JengJen‐Kun LinShuang‐En ChuangTze‐Sing HuangChia‐Yu Chu
- Topics
- Angiogenesis and VEGF in Cancer (26 papers)Connective Tissue Growth Factor Research (20 papers)Cytokine Signaling Pathways and Interactions (20 papers)
- Journals
- Journal of Biological ChemistryJournal of Clinical InvestigationJournal of Clinical Oncology
- Partner nations
- TaiwanUnited StatesIndia
In The Last Decade
Min‐Liang Kuo
189 papers receiving 12.8k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Molecular Biology 7.6k
- Oncology 3.8k
- Cancer Research 2.8k
- Immunology 2.0k
- Pulmonary and Respiratory Medicine 1.2k
Countries citing papers authored by Min‐Liang Kuo
This map shows the geographic impact of Min‐Liang Kuo'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 Min‐Liang Kuo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min‐Liang Kuo more than expected).
Fields of papers citing papers by Min‐Liang Kuo
This network shows the impact of papers produced by Min‐Liang Kuo. 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 Min‐Liang Kuo. The network helps show where Min‐Liang Kuo may publish in the future.
Co-authorship network of co-authors of Min‐Liang Kuo
This figure shows the co-authorship network connecting the top 25 collaborators of Min‐Liang Kuo. A scholar is included among the top collaborators of Min‐Liang Kuo 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 Min‐Liang Kuo. Min‐Liang Kuo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 48 | |
| 2 | 41 | |
| 3 | 11 | |
| 4 | 75 | |
| 5 | Pretreatment Epidermal Growth Factor Receptor ( EGFR ) T790M Mutation Predicts Shorter EGFR Tyrosine Kinase Inhibitor Response Duration in Patients With Non–Small-Cell Lung Cancerbreakdown → | 429 |
| 6 | 27 | |
| 7 | 125 | |
| 8 | 63 | |
| 9 | 168 | |
| 10 | 297 | |
| 11 | 152 | |
| 12 | 145 | |
| 13 | 81 | |
| 14 | 72 | |
| 15 | 19 | |
| 16 | 165 | |
| 17 | 38 | |
| 18 | 39 | |
| 19 | 18 | |
| 20 | 99 |
About Min‐Liang Kuo
Min‐Liang Kuo is a scholar working on Cancer Research, Oncology and Molecular Biology, having authored 191 papers that have together received 13.1k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (26 papers), Connective Tissue Growth Factor Research (20 papers) and Cytokine Signaling Pathways and Interactions (20 papers). The work is most often cited by research in Cancer Research (2.8k citations), Oncology (3.8k citations) and Molecular Biology (7.6k citations). Min‐Liang Kuo has collaborated with scholars based in Taiwan, United States and India. Frequent co-authors include Ming‐Tsan Lin, Lin‐Hung Wei, Pan‐Chyr Yang, Yung‐Ming Jeng, Jen‐Kun Lin, Shuang‐En Chuang, Tze‐Sing Huang, Chia‐Yu Chu, Jen-Liang Su and Shiou‐Hwa Jee. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation 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.