Bin Sun
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
- Hepatology 15
- Hepatocellular Carcinoma Treatment and Prognosis 11
- Liver physiology and pathology 5
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- MicroRNA in disease regulation 8
- Cancer-related molecular mechanisms research 6
- Co-authors
- Changqing Su (17 shared papers)Weidan Ji (11 shared papers)Xiaofeng Zhang (12 shared papers)Haihua Qian (11 shared papers)Zhengfeng Yin (10 shared papers)Mengchao Wu (8 shared papers)Yang Xu (3 shared papers)Xiaoya Li (1 shared paper)
- Journals
- PLoS ONE (7 papers)Cancer Letters (6 papers)Oncotarget (5 papers)Cancer Biology & Therapy (2 papers)Tumor Biology (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Bin Sun
90 papers receiving 3.2k citations
Bin Sun's Hit Papers
Peers
Comparison fields: 5 of 122
- Cancer Research 649
- Hepatology 265
- Oncology 637
- Gastroenterology 99
- Infectious Diseases 326
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 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Relationship Between the ABO Blood Group and the Coronavirus Disease 2019 (COVID-19) Susceptibility Hit paper breakdown → | 2020 | 397 |
| 2 | 2014 | 193 | |
| 3 | 2013 | 158 | |
| 4 | 2004 | 153 | |
| 5 | 2017 | 151 | |
| 6 | 2007 | 111 | |
| 7 | 2014 | 107 | |
| 8 | 2015 | 86 | |
| 9 | 2008 | 74 | |
| 10 | 2019 | 73 | |
| 11 | 2018 | 71 | |
| 12 | 2014 | 70 | |
| 13 | 2019 | 70 | |
| 14 | 2016 | 60 | |
| 15 | 2019 | 58 | |
| 16 | 2014 | 58 | |
| 17 | 2014 | 57 | |
| 18 | 2017 | 56 | |
| 19 | 2017 | 50 | |
| 20 | 2012 | 50 |
About Bin Sun
Bin Sun is a scholar working on Hepatology, Cancer Research, Oncology, Molecular Biology and Cell Biology, having authored 92 papers that have together received 3.2k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (11 papers), Cancer Cells and Metastasis (8 papers), MicroRNA in disease regulation (8 papers), RNA modifications and cancer (6 papers), Circular RNAs in diseases (6 papers), Cancer-related molecular mechanisms research (6 papers), Liver physiology and pathology (5 papers) and Cytokine Signaling Pathways and Interactions (4 papers). The work is most often cited by research in Cancer Research (649 citations), Hepatology (265 citations), Oncology (637 citations), Gastroenterology (99 citations) and Infectious Diseases (326 citations). Bin Sun has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Changqing Su, Weidan Ji, Xiaofeng Zhang, Haihua Qian, Zhengfeng Yin, Mengchao Wu, Yang Xu, Xiaoya Li, Quangen Gao and Yan Liu. Their work appears in journals such as PLoS ONE, Cancer Letters, Oncotarget, Cancer Biology & Therapy and Tumor Biology.
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.