Shaofu He
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
-
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
Papers in
- Surgery 4
-
- Prostate Cancer Treatment and Research 2
- Aortic Disease and Treatment Approaches 2
- Co-authors
- Chuandong Lang (5 shared papers)Dong Ren (4 shared papers)Wei Guo (3 shared papers)Zhengquan Wu (3 shared papers)Yuhu Dai (3 shared papers)Xinsheng Peng (4 shared papers)Xin Zhang (2 shared papers)Yingrong Lai (2 shared papers)
- Journals
- World Neurosurgery (2 papers)Molecular Oncology (1 paper)Frontiers in Bioengineering and Biotechnology (1 paper)Theranostics (1 paper)BMC Neurology (1 paper)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Shaofu He
16 papers receiving 444 citations
Peers
Comparison fields: 5 of 59
- Cancer Research 169
- Radiology, Nuclear Medicine and Imaging 104
- Neurology 51
- Internal Medicine 11
- Molecular Biology 177
Countries citing papers authored by Shaofu He
This map shows the geographic impact of Shaofu He'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 Shaofu He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaofu He more than expected).
Fields of papers citing papers by Shaofu He
This network shows the impact of papers produced by Shaofu He. 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 Shaofu He. The network helps show where Shaofu He may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaofu He, 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 | 2020 | 66 | |
| 2 | 2019 | 54 | |
| 3 | 2019 | 54 | |
| 4 | 2021 | 50 | |
| 5 | 2019 | 49 | |
| 6 | 2018 | 35 | |
| 7 | 2018 | 29 | |
| 8 | 2021 | 26 | |
| 9 | 2018 | 21 | |
| 10 | 2017 | 18 | |
| 11 | 2019 | 16 | |
| 12 | 2021 | 11 | |
| 13 | 2021 | 9 | |
| 14 | 2021 | 8 | |
| 15 | 2020 | 2 | |
| 16 | 2023 | 1 |
About Shaofu He
Shaofu He is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Cancer Research and Molecular Biology, having authored 16 papers that have together received 449 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (3 papers), MicroRNA in disease regulation (2 papers), Prostate Cancer Treatment and Research (2 papers), Inflammatory Bowel Disease (2 papers), MRI in cancer diagnosis (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Aortic Disease and Treatment Approaches (2 papers) and Advanced Neuroimaging Techniques and Applications (1 paper). The work is most often cited by research in Cancer Research (169 citations), Radiology, Nuclear Medicine and Imaging (104 citations), Neurology (51 citations), Internal Medicine (11 citations) and Molecular Biology (177 citations). Shaofu He has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Chuandong Lang, Dong Ren, Wei Guo, Zhengquan Wu, Yuhu Dai, Xinsheng Peng, Xin Zhang, Yingrong Lai, Qing Yang and Yühong Huang. Their work appears in journals such as World Neurosurgery, Molecular Oncology, Frontiers in Bioengineering and Biotechnology, Theranostics and BMC Neurology.
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.