Shuwen Sun
- Hepatology top 2%
- Hepatocellular Carcinoma Treatment and Prognosis 5
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- Radiomics and Machine Learning in Medical Imaging 8
- Health Informatics top 10%
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- Gastric Cancer Management and Outcomes 4
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- Acute Myeloid Leukemia Research 2
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- AI in cancer detection 2
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- Colorectal Cancer Surgical Treatments 2
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- Acute Lymphoblastic Leukemia research 2
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- Glycosylation and Glycoproteins Research 1
- Journals
- Journal of Hepatology (1 paper)Medical Physics (1 paper)Journal of Magnetic Resonance Imaging (1 paper)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Shuwen Sun
14 papers receiving 641 citations
Hit Papers
Peers
Comparison fields: 5 of 61
- Hepatology 368
- Radiology, Nuclear Medicine and Imaging 464
- Health Informatics 19
- Pulmonary and Respiratory Medicine 192
- Gastroenterology 28
Countries citing papers authored by Shuwen Sun
This map shows the geographic impact of Shuwen 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 Shuwen Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuwen Sun more than expected).
Fields of papers citing papers by Shuwen Sun
This network shows the impact of papers produced by Shuwen 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 Shuwen Sun. The network helps show where Shuwen Sun may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shuwen 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 8 | |
| 5 | 2022 | 13 | |
| 6 | 2020 | 11 | |
| 7 | Radiomic analysis of contrast-enhanced CT predicts microvascular invasion and outcome in hepatocellular carcinomabreakdown → | 2019 | 497 |
| 8 | 2019 | 49 | |
| 9 | 2019 | 25 | |
| 10 | 2019 | 19 | |
| 11 | 2019 | 1 | |
| 12 | 2019 | 1 | |
| 13 | 2017 | 1 | |
| 14 | 2016 | 16 | |
| 15 | 2016 | 2 | |
| 16 | Evaluation of White Matter Lesions Induced by 3-Nitropropionic Acid using Magnetic Resonance Diffusion Tensor Imaging | 2002 | 1 |
About Shuwen Sun
Shuwen Sun is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 16 papers that have together received 645 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (8 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Gastric Cancer Management and Outcomes (4 papers), Acute Myeloid Leukemia Research (2 papers), AI in cancer detection (2 papers), Colorectal Cancer Surgical Treatments (2 papers), Acute Lymphoblastic Leukemia research (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Hepatology (368 citations), Radiology, Nuclear Medicine and Imaging (464 citations) and Health Informatics (19 citations). Shuwen Sun has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Yu‐Dong Zhang, Xi-Sheng Liu, Guang Yang, Xun Xu, Qiuping Liu, Feipeng Zhu, Hailong Zhang, Xu Yan, Jing Zhang and Liang Qi. Their work appears in journals such as Journal of Hepatology, Medical Physics and Journal of Magnetic Resonance Imaging.
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.