Bin Sun
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Oncology top 5%
- CAR-T cell therapy research
Papers in
-
- Genomics, phytochemicals, and oxidative stress 5
- Epigenetics and DNA Methylation 4
- Oncology 23
- CAR-T cell therapy research 9
- Cancer-related Molecular Pathways 7
- Vascular Tumors and Angiosarcomas 6
- Co-authors
- Xudong Zhao (21 shared papers)Dong Yang (16 shared papers)Jinyong Peng (9 shared papers)Peng Chu (8 shared papers)Xiaoyue Cui (3 shared papers)Rebecca A. Clewell (5 shared papers)Xiuyun Liu (4 shared papers)Guozhu Han (6 shared papers)
- Journals
- APOPTOSIS (4 papers)Chemico-Biological Interactions (4 papers)Gels (3 papers)Cell Death and Disease (3 papers)Materials Today Bio (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Bin Sun
106 papers receiving 2.6k citations
Bin Sun's Hit Papers
Peers
Comparison fields: 5 of 138
- Cancer Research 352
- Oncology 441
- Immunology 326
- Molecular Biology 1.1k
- Toxicology 51
Countries citing papers authored by Bin Sun
This map shows the geographic impact of Bin 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 Bin Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Sun more than expected).
Fields of papers citing papers by Bin Sun
This network shows the impact of papers produced by Bin 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 Bin Sun. The network helps show where Bin Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin 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
Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 149 | |
| 2 | NKG2D-CAR T cells eliminate senescent cells in aged mice and nonhuman primates Hit paper breakdown → | 2023 | 133 |
| 3 | 2018 | 124 | |
| 4 | 2019 | 117 | |
| 5 | 2014 | 100 | |
| 6 | 2013 | 84 | |
| 7 | 2019 | 84 | |
| 8 | 2018 | 83 | |
| 9 | 2020 | 66 | |
| 10 | 2017 | 64 | |
| 11 | 2018 | 59 | |
| 12 | 2015 | 57 | |
| 13 | 2016 | 55 | |
| 14 | 2018 | 53 | |
| 15 | 2020 | 52 | |
| 16 | 2015 | 47 | |
| 17 | 2023 | 46 | |
| 18 | 2017 | 43 | |
| 19 | 2018 | 43 | |
| 20 | 2023 | 42 |
About Bin Sun
Bin Sun is a scholar working on Molecular Biology, Oncology, Immunology, Surgery and Cancer Research, having authored 115 papers that have together received 2.6k indexed citations. Recurring topics across this work include CAR-T cell therapy research (9 papers), Vascular Malformations and Hemangiomas (8 papers), Cancer-related Molecular Pathways (7 papers), MicroRNA in disease regulation (6 papers), Vascular Tumors and Angiosarcomas (6 papers), Bone Tissue Engineering Materials (5 papers), Genomics, phytochemicals, and oxidative stress (5 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Cancer Research (352 citations), Oncology (441 citations), Immunology (326 citations), Molecular Biology (1.1k citations) and Toxicology (51 citations). Bin Sun has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xudong Zhao, Dong Yang, Jinyong Peng, Peng Chu, Xiaoyue Cui, Rebecca A. Clewell, Xiuyun Liu, Guozhu Han, Lanzhen Yan and Wenxuan Li. Their work appears in journals such as APOPTOSIS, Chemico-Biological Interactions, Gels, Cell Death and Disease and Materials Today Bio.
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.