Chengyang Song
Impact in
-
- MicroRNA in disease regulation
-
- Lung Cancer Diagnosis and Treatment
- Lung Cancer Treatments and Mutations
- Ferroptosis and cancer prognosis
Papers in
-
- Lung Cancer Diagnosis and Treatment 3
- Ferroptosis and cancer prognosis 2
- Co-authors
- Xueying Yang (2 shared papers)Ikuo Fukuda (4 shared papers)Takao Tsushima (4 shared papers)T. Sakai (4 shared papers)Jianhong Zhang (1 shared paper)Ye Tian (1 shared paper)Da-Li Tian (5 shared papers)Yong Chen (2 shared papers)
In The Last Decade
Chengyang Song
20 papers receiving 242 citations
Peers
Comparison fields: 5 of 61
- Cancer Research 40
- Pulmonary and Respiratory Medicine 82
- Oncology 55
- Molecular Biology 86
- Radiology, Nuclear Medicine and Imaging 24
Countries citing papers authored by Chengyang Song
This map shows the geographic impact of Chengyang Song'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 Chengyang Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chengyang Song more than expected).
Fields of papers citing papers by Chengyang Song
This network shows the impact of papers produced by Chengyang Song. 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 Chengyang Song. The network helps show where Chengyang Song may publish in the future.
Co-authors
The 25 scholars most cited alongside Chengyang Song, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 45 | |
| 2 | 2014 | 33 | |
| 3 | 2016 | 28 | |
| 4 | 2018 | 28 | |
| 5 | 2019 | 23 | |
| 6 | 2021 | 19 | |
| 7 | 2016 | 13 | |
| 8 | 2019 | 12 | |
| 9 | 2013 | 8 | |
| 10 | 2019 | 7 | |
| 11 | 2022 | 6 | |
| 12 | 2024 | 6 | |
| 13 | 2025 | 5 | |
| 14 | 2025 | 4 | |
| 15 | 2018 | 3 | |
| 16 | 2025 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2017 | 1 | |
| 20 | 2023 | 1 |
About Chengyang Song
Chengyang Song is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Cancer Research and Surgery, having authored 22 papers that have together received 246 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (3 papers), Ferroptosis and cancer prognosis (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Cancer-related Molecular Pathways (2 papers), Cholesterol and Lipid Metabolism (2 papers), Cancer-related molecular mechanisms research (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Ophthalmology and Visual Impairment Studies (1 paper). The work is most often cited by research in Cancer Research (40 citations), Pulmonary and Respiratory Medicine (82 citations), Oncology (55 citations), Molecular Biology (86 citations) and Radiology, Nuclear Medicine and Imaging (24 citations). Chengyang Song has collaborated with scholars based in China, Japan and Germany. Frequent co-authors include Xueying Yang, Ikuo Fukuda, Takao Tsushima, T. Sakai, Jianhong Zhang, Ye Tian, Da-Li Tian, Yong Chen, Xin Tian and Xu Han. Their work appears in journals such as Tumor Biology, Frontiers in Plant Science, Clinical Cancer Research, PLoS ONE and Cell Death and Disease.
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.