Caixing Sun
Impact in
- Genetics top 10%
- Glioma Diagnosis and Treatment
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Circular RNAs in diseases 5
-
- MicroRNA in disease regulation 3
- Cancer-related molecular mechanisms research 2
- Co-authors
- Liang Xia (9 shared papers)Fang Fěng (5 shared papers)Gao Chen (3 shared papers)Bin Wu (4 shared papers)Minghua Ge (3 shared papers)Chenyan Fang (1 shared paper)Wei Zhao (1 shared paper)Dekang Nie (2 shared papers)
- Journals
- Journal of Experimental & Clinical Cancer Research (2 papers)Clinical & Translational Oncology (1 paper)Journal of Integrative Neuroscience (1 paper)Journal of Zhejiang University SCIENCE B (1 paper)BMC Cancer (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Caixing Sun
17 papers receiving 485 citations
Peers
Comparison fields: 5 of 60
- Genetics 150
- Cancer Research 196
- Molecular Biology 253
- Oncology 80
- Pharmacology 21
Countries citing papers authored by Caixing Sun
This map shows the geographic impact of Caixing 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 Caixing Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caixing Sun more than expected).
Fields of papers citing papers by Caixing Sun
This network shows the impact of papers produced by Caixing 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 Caixing Sun. The network helps show where Caixing Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Caixing 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 | 2018 | 75 | |
| 2 | 2015 | 75 | |
| 3 | 2016 | 52 | |
| 4 | 2019 | 52 | |
| 5 | 2015 | 51 | |
| 6 | 2017 | 40 | |
| 7 | 2022 | 26 | |
| 8 | 2011 | 25 | |
| 9 | 2015 | 21 | |
| 10 | 2014 | 16 | |
| 11 | 2019 | 16 | |
| 12 | 2019 | 14 | |
| 13 | 2022 | 10 | |
| 14 | 2023 | 7 | |
| 15 | 2011 | 5 | |
| 16 | 2024 | 4 | |
| 17 | Expression of PD-1 and PD-L1 on Tumor-Infiltrating Lymphocytes Predicts Prognosis in Patients with Small-Cell Lung Cancer | 2020 | 1 |
About Caixing Sun
Caixing Sun is a scholar working on Molecular Biology, Cancer Research, Genetics, Oncology and Pulmonary and Respiratory Medicine, having authored 17 papers that have together received 490 indexed citations. Recurring topics across this work include Circular RNAs in diseases (5 papers), Glioma Diagnosis and Treatment (5 papers), MicroRNA in disease regulation (3 papers), Cancer-related molecular mechanisms research (2 papers), Lung Cancer Research Studies (2 papers), Brain Metastases and Treatment (2 papers), Lung Cancer Treatments and Mutations (2 papers) and Cancer Mechanisms and Therapy (2 papers). The work is most often cited by research in Genetics (150 citations), Cancer Research (196 citations), Molecular Biology (253 citations), Oncology (80 citations) and Pharmacology (21 citations). Caixing Sun has collaborated with scholars based in China and United States. Frequent co-authors include Liang Xia, Fang Fěng, Gao Chen, Bin Wu, Minghua Ge, Chenyan Fang, Wei Zhao, Dekang Nie, Yang Yu and Guangtao Wang. Their work appears in journals such as Journal of Experimental & Clinical Cancer Research, Clinical & Translational Oncology, Journal of Integrative Neuroscience, Journal of Zhejiang University SCIENCE B and BMC Cancer.
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.