Sunbin Ling
Impact in
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Cancer Genomics and Diagnostics
Papers in
-
- Ubiquitin and proteasome pathways 6
- Metabolism, Diabetes, and Cancer 6
- Oncology 15
- Cancer-related Molecular Pathways 6
- Pancreatic and Hepatic Oncology Research 3
- Co-authors
- Shusen Zheng (18 shared papers)Qianwei Ye (8 shared papers)Xiao Xu (21 shared papers)Tingting Feng (10 shared papers)Qiaonan Shan (9 shared papers)Haiyang Xie (8 shared papers)Xuyong Wei (8 shared papers)Kangchen Chen (3 shared papers)
- Journals
- Advanced Science (2 papers)European Journal of Surgical Oncology (2 papers)World Journal of Surgical Oncology (2 papers)Cell Death and Disease (2 papers)Molecular Cancer (1 paper)
- Partner nations
- ChinaUnited StatesMadagascar
In The Last Decade
Sunbin Ling
46 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 93
- Hepatology 204
- Cancer Research 348
- Oncology 481
- Molecular Biology 739
- Epidemiology 217
Countries citing papers authored by Sunbin Ling
This map shows the geographic impact of Sunbin Ling'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 Sunbin Ling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunbin Ling more than expected).
Fields of papers citing papers by Sunbin Ling
This network shows the impact of papers produced by Sunbin Ling. 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 Sunbin Ling. The network helps show where Sunbin Ling may publish in the future.
Co-authors
The 25 scholars most cited alongside Sunbin Ling, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 300 | |
| 2 | 2020 | 163 | |
| 3 | 2017 | 88 | |
| 4 | 2016 | 83 | |
| 5 | 2021 | 82 | |
| 6 | 2017 | 65 | |
| 7 | 2014 | 54 | |
| 8 | 2017 | 52 | |
| 9 | 2021 | 52 | |
| 10 | 2021 | 46 | |
| 11 | 2014 | 46 | |
| 12 | 2019 | 45 | |
| 13 | 2022 | 32 | |
| 14 | 2019 | 29 | |
| 15 | 2014 | 29 | |
| 16 | 2014 | 26 | |
| 17 | 2014 | 23 | |
| 18 | 2023 | 21 | |
| 19 | 2019 | 20 | |
| 20 | 2014 | 19 |
About Sunbin Ling
Sunbin Ling is a scholar working on Molecular Biology, Oncology, Epidemiology, Surgery and Hepatology, having authored 51 papers that have together received 1.5k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Ubiquitin and proteasome pathways (6 papers), Metabolism, Diabetes, and Cancer (6 papers), Cancer-related Molecular Pathways (6 papers), Organ Transplantation Techniques and Outcomes (5 papers), Neuroendocrine Tumor Research Advances (4 papers), Nanoplatforms for cancer theranostics (4 papers) and Pancreatic and Hepatic Oncology Research (3 papers). The work is most often cited by research in Hepatology (204 citations), Cancer Research (348 citations), Oncology (481 citations), Molecular Biology (739 citations) and Epidemiology (217 citations). Sunbin Ling has collaborated with scholars based in China, United States and Madagascar. Frequent co-authors include Shusen Zheng, Qianwei Ye, Xiao Xu, Tingting Feng, Qiaonan Shan, Haiyang Xie, Xuyong Wei, Kangchen Chen, Penghong Song and Shengjun Xu. Their work appears in journals such as Advanced Science, European Journal of Surgical Oncology, World Journal of Surgical Oncology, Cell Death and Disease and Molecular 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.