Kang‐Yi Su
- Oncology top 2%
- Lung Cancer Research Studies 15
- Colorectal Cancer Treatments and Studies 9
- Cancer Immunotherapy and Biomarkers 9
- Cancer Research top 5%
- Cancer Genomics and Diagnostics 12
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- Lung Cancer Treatments and Mutations 35
- Lung Cancer Diagnosis and Treatment 7
- Gastric Cancer Management and Outcomes 5
- Molecular Biology top 10%
- DNA Repair Mechanisms 6
- Parasitology top 10%
- Co-authors
- Sung‐Liang YuPan‐Chyr YangGee‐Chen ChangJin‐Yuan ShihJames Chih‐Hsin YangBing‐Ching HoJeremy J.W. ChenHsuan‐Yu Chen
- Partner nations
- TaiwanUnited StatesUnited Kingdom
In The Last Decade
Kang‐Yi Su
75 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Oncology 1.1k
- Cancer Research 606
- Pulmonary and Respiratory Medicine 1.2k
- Molecular Biology 894
- Parasitology 51
Countries citing papers authored by Kang‐Yi Su
This map shows the geographic impact of Kang‐Yi Su'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 Kang‐Yi Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kang‐Yi Su more than expected).
Fields of papers citing papers by Kang‐Yi Su
This network shows the impact of papers produced by Kang‐Yi Su. 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 Kang‐Yi Su. The network helps show where Kang‐Yi Su may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kang‐Yi Su, 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 | 2025 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2023 | 6 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 4 | |
| 6 | 2022 | 8 | |
| 7 | 2022 | 1 | |
| 8 | 2020 | 9 | |
| 9 | 2020 | 5 | |
| 10 | 2018 | 20 | |
| 11 | 2017 | 26 | |
| 12 | 2017 | 21 | |
| 13 | 2016 | 57 | |
| 14 | 2015 | 18 | |
| 15 | 2015 | 40 | |
| 16 | 2014 | 33 | |
| 17 | 2014 | 11 | |
| 18 | 2014 | 72 | |
| 19 | Pretreatment Epidermal Growth Factor Receptor ( EGFR ) T790M Mutation Predicts Shorter EGFR Tyrosine Kinase Inhibitor Response Duration in Patients With Non–Small-Cell Lung Cancerbreakdown → | 2012 | 429 |
| 20 | 2010 | 146 |
About Kang‐Yi Su
Kang‐Yi Su is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Cancer Research, Hepatology and Molecular Biology, having authored 82 papers that have together received 2.4k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (35 papers), Lung Cancer Research Studies (15 papers), Cancer Genomics and Diagnostics (12 papers), Colorectal Cancer Treatments and Studies (9 papers), Cancer Immunotherapy and Biomarkers (9 papers), Lung Cancer Diagnosis and Treatment (7 papers), DNA Repair Mechanisms (6 papers) and Gastric Cancer Management and Outcomes (5 papers). The work is most often cited by research in Oncology (1.1k citations), Cancer Research (606 citations), Pulmonary and Respiratory Medicine (1.2k citations), Molecular Biology (894 citations) and Parasitology (51 citations). Kang‐Yi Su has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Sung‐Liang Yu, Pan‐Chyr Yang, Gee‐Chen Chang, Jin‐Yuan Shih, James Chih‐Hsin Yang, Bing‐Ching Ho, Jeremy J.W. Chen, Hsuan‐Yu Chen, Wing‐Kai Chan and Ker-Chau Li. Their work appears in journals such as Scientific Reports, PLoS ONE, DNA repair, Lung Cancer and Oncotarget.
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.