Sirui Fu
Impact in
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver Disease and Transplantation
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- Cancer-related molecular mechanisms research
Papers in
- Hepatology 23
- Hepatocellular Carcinoma Treatment and Prognosis 16
- Liver Disease and Transplantation 7
- Surgery 11
- Organ Transplantation Techniques and Outcomes 6
- Cholangiocarcinoma and Gallbladder Cancer Studies 5
- Co-authors
- Ligong Lu (24 shared papers)Meixiao Zhan (6 shared papers)Yongjie Xin (3 shared papers)Shuting Chen (3 shared papers)Zaiyi Liu (3 shared papers)Yong Li (3 shared papers)Wei Li (1 shared paper)Wei Zhao (1 shared paper)
- Journals
- Hepatology International (3 papers)Oncotarget (3 papers)Liver International (1 paper)Medicine (1 paper)Engineering Applications of Artificial Intelligence (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Sirui Fu
25 papers receiving 526 citations
Peers
Comparison fields: 5 of 61
- Hepatology 231
- Cancer Research 158
- Radiology, Nuclear Medicine and Imaging 107
- Health Informatics 5
- Oncology 95
Countries citing papers authored by Sirui Fu
This map shows the geographic impact of Sirui Fu'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 Sirui Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sirui Fu more than expected).
Fields of papers citing papers by Sirui Fu
This network shows the impact of papers produced by Sirui Fu. 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 Sirui Fu. The network helps show where Sirui Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Sirui Fu, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 132 | |
| 2 | 2015 | 60 | |
| 3 | 2018 | 44 | |
| 4 | 2016 | 38 | |
| 5 | 2014 | 31 | |
| 6 | 2016 | 28 | |
| 7 | 2017 | 28 | |
| 8 | 2017 | 23 | |
| 9 | 2014 | 23 | |
| 10 | 2021 | 19 | |
| 11 | 2016 | 19 | |
| 12 | 2021 | 19 | |
| 13 | 2020 | 15 | |
| 14 | 2019 | 13 | |
| 15 | 2015 | 7 | |
| 16 | 2021 | 6 | |
| 17 | 2022 | 5 | |
| 18 | 2021 | 5 | |
| 19 | 2014 | 4 | |
| 20 | 2023 | 4 |
About Sirui Fu
Sirui Fu is a scholar working on Hepatology, Surgery, Epidemiology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 29 papers that have together received 530 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (16 papers), Liver Disease Diagnosis and Treatment (9 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Liver Disease and Transplantation (7 papers), Organ Transplantation Techniques and Outcomes (6 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (5 papers), Cancer Mechanisms and Therapy (3 papers) and Cancer, Lipids, and Metabolism (2 papers). The work is most often cited by research in Hepatology (231 citations), Cancer Research (158 citations), Radiology, Nuclear Medicine and Imaging (107 citations), Health Informatics (5 citations) and Oncology (95 citations). Sirui Fu has collaborated with scholars based in China and United States. Frequent co-authors include Ligong Lu, Meixiao Zhan, Yongjie Xin, Shuting Chen, Zaiyi Liu, Yong Li, Wei Li, Wei Zhao, Yong Li and Chenzi Yang. Their work appears in journals such as Hepatology International, Oncotarget, Liver International, Medicine and Engineering Applications of Artificial Intelligence.
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.