Shengxiang Rao
- Hepatology top 0.5%
- Hepatocellular Carcinoma Treatment and Prognosis 64
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- MRI in cancer diagnosis 59
- Radiomics and Machine Learning in Medical Imaging 55
- Advanced MRI Techniques and Applications 15
- Oncology top 5%
- Pancreatic and Hepatic Oncology Research 23
- Colorectal Cancer Surgical Treatments 16
- Colorectal Cancer Screening and Detection 13
- Epidemiology top 5%
- Liver Disease Diagnosis and Treatment 40
- Co-authors
- Mengsu ZengCaizhong ChenYing DingLi YangChun YangYuan JiWentao WangRuofan Sheng
- Journals
- SHILAP Revista de lepidopterología (2 papers)PLoS ONE (4 papers)Biomaterials (2 papers)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Shengxiang Rao
163 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Hepatology 1.4k
- Radiology, Nuclear Medicine and Imaging 1.9k
- Oncology 966
- Epidemiology 868
- Pulmonary and Respiratory Medicine 637
Countries citing papers authored by Shengxiang Rao
This map shows the geographic impact of Shengxiang Rao'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 Shengxiang Rao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shengxiang Rao more than expected).
Fields of papers citing papers by Shengxiang Rao
This network shows the impact of papers produced by Shengxiang Rao. 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 Shengxiang Rao. The network helps show where Shengxiang Rao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shengxiang Rao, 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 | 2024 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 7 | |
| 9 | 2023 | 3 | |
| 10 | 2022 | 9 | |
| 11 | 2021 | 9 | |
| 12 | 2019 | 19 | |
| 13 | 2019 | 58 | |
| 14 | 2019 | 1 | |
| 15 | 2017 | 5 | |
| 16 | 2017 | 1 | |
| 17 | 2015 | 1 | |
| 18 | 2013 | 0 | |
| 19 | 2013 | 6 | |
| 20 | 2012 | 23 |
About Shengxiang Rao
Shengxiang Rao is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 173 papers that have together received 3.6k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (64 papers), MRI in cancer diagnosis (59 papers), Radiomics and Machine Learning in Medical Imaging (55 papers), Liver Disease Diagnosis and Treatment (40 papers), Pancreatic and Hepatic Oncology Research (23 papers), Colorectal Cancer Surgical Treatments (16 papers), Advanced MRI Techniques and Applications (15 papers) and Colorectal Cancer Screening and Detection (13 papers). The work is most often cited by research in Hepatology (1.4k citations), Radiology, Nuclear Medicine and Imaging (1.9k citations) and Oncology (966 citations). Shengxiang Rao has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Mengsu Zeng, Caizhong Chen, Ying Ding, Li Yang, Mengsu Zeng, Chun Yang, Yuan Ji, Wentao Wang, Mengsu Zeng and Ruofan Sheng. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biomaterials.
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.