Chengdu Sun
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
Papers in
- Oncology 7
- Cancer Immunotherapy and Biomarkers 5
-
- Metabolism, Diabetes, and Cancer 2
- Histone Deacetylase Inhibitors Research 1
- Co-authors
- Qingzhu Jia (6 shared papers)Bo Zhu (7 shared papers)Zhihua Gong (6 shared papers)Jianan Cheng (6 shared papers)Ying Dai (3 shared papers)Yi Feng (3 shared papers)Peter B. Alexander (2 shared papers)Yisong Y. Wan (2 shared papers)
- Journals
- Clinical Lung Cancer (1 paper)Nature Communications (1 paper)Frontiers in Immunology (1 paper)Science Advances (1 paper)Cancer Medicine (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Chengdu Sun
9 papers receiving 573 citations
Chengdu Sun's Hit Papers
Peers
Comparison fields: 5 of 57
- Cancer Research 178
- Oncology 317
- Immunology 149
- Pulmonary and Respiratory Medicine 224
- Molecular Biology 218
Countries citing papers authored by Chengdu Sun
This map shows the geographic impact of Chengdu Sun'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 Chengdu Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chengdu Sun more than expected).
Fields of papers citing papers by Chengdu Sun
This network shows the impact of papers produced by Chengdu Sun. 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 Chengdu Sun. The network helps show where Chengdu Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Chengdu Sun, 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 | Local mutational diversity drives intratumoral immune heterogeneity in non-small cell lung cancer Hit paper breakdown → | 2018 | 307 |
| 2 | 2018 | 136 | |
| 3 | 2021 | 46 | |
| 4 | 2018 | 33 | |
| 5 | 2018 | 16 | |
| 6 | 2018 | 10 | |
| 7 | 2016 | 10 | |
| 8 | 2019 | 9 | |
| 9 | 2020 | 8 |
About Chengdu Sun
Chengdu Sun is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Immunology and Cancer Research, having authored 9 papers that have together received 575 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (5 papers), Immune Cell Function and Interaction (3 papers), Cancer Genomics and Diagnostics (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Lung Cancer Treatments and Mutations (2 papers), Lymphoma Diagnosis and Treatment (1 paper), Histone Deacetylase Inhibitors Research (1 paper) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Cancer Research (178 citations), Oncology (317 citations), Immunology (149 citations), Pulmonary and Respiratory Medicine (224 citations) and Molecular Biology (218 citations). Chengdu Sun has collaborated with scholars based in China and United States. Frequent co-authors include Qingzhu Jia, Bo Zhu, Zhihua Gong, Jianan Cheng, Ying Dai, Yi Feng, Peter B. Alexander, Yisong Y. Wan, Haidong Wang and Yanfang Guan. Their work appears in journals such as Clinical Lung Cancer, Nature Communications, Frontiers in Immunology, Science Advances and Cancer Medicine.
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.