Ri-Qiang Liao
- Oncology top 5%
- Lung Cancer Research Studies 8
- Cancer Immunotherapy and Biomarkers 5
- CAR-T cell therapy research 3
- Colorectal Cancer Treatments and Studies 3
-
- Lung Cancer Diagnosis and Treatment 24
- Lung Cancer Treatments and Mutations 22
- Tracheal and airway disorders 3
- Cancer Research top 10%
- Immunology top 10%
-
- Radiomics and Machine Learning in Medical Imaging 10
- Co-authors
- Yi‐Long WuWen‐Zhao ZhongXue‐Ning YangXu‐Chao ZhangJin‐Ji YangJian SuSi-Pei WuZhong‐Yi Dong
- Journals
- Journal of Clinical Oncology (3 papers)SHILAP Revista de lepidopterología (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- China
In The Last Decade
Ri-Qiang Liao
35 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Oncology 917
- Pulmonary and Respiratory Medicine 905
- Cancer Research 286
- Immunology 233
- Molecular Biology 314
Countries citing papers authored by Ri-Qiang Liao
This map shows the geographic impact of Ri-Qiang Liao'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 Ri-Qiang Liao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ri-Qiang Liao more than expected).
Fields of papers citing papers by Ri-Qiang Liao
This network shows the impact of papers produced by Ri-Qiang Liao. 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 Ri-Qiang Liao. The network helps show where Ri-Qiang Liao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ri-Qiang Liao, 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 | 2023 | 6 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 2 | |
| 4 | 2022 | 9 | |
| 5 | 2021 | 17 | |
| 6 | 2020 | 16 | |
| 7 | 2017 | 1 | |
| 8 | 2017 | 1 | |
| 9 | 2017 | 2 | |
| 10 | 2017 | 120 | |
| 11 | 2017 | 1 | |
| 12 | 2017 | 4 | |
| 13 | Potential Predictive Value of TP53 and KRAS Mutation Status for Response to PD-1 Blockade Immunotherapy in Lung Adenocarcinomabreakdown → | 2016 | 741 |
| 14 | 2016 | 22 | |
| 15 | 2016 | 75 | |
| 16 | 2016 | 8 | |
| 17 | 2012 | 14 | |
| 18 | 2012 | 10 | |
| 19 | 2012 | 141 | |
| 20 | 2011 | 23 |
About Ri-Qiang Liao
Ri-Qiang Liao is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 36 papers that have together received 1.4k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (24 papers), Lung Cancer Treatments and Mutations (22 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Lung Cancer Research Studies (8 papers), Cancer Immunotherapy and Biomarkers (5 papers), CAR-T cell therapy research (3 papers), Colorectal Cancer Treatments and Studies (3 papers) and Tracheal and airway disorders (3 papers). The work is most often cited by research in Oncology (917 citations), Pulmonary and Respiratory Medicine (905 citations) and Cancer Research (286 citations). Ri-Qiang Liao has collaborated with scholars based in China. Frequent co-authors include Yi‐Long Wu, Wen‐Zhao Zhong, Xue‐Ning Yang, Xu‐Chao Zhang, Jin‐Ji Yang, Jian Su, Si-Pei Wu, Zhong‐Yi Dong, Qing Zhou and Hong‐Hong Yan. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Clinical Cancer Research.
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.