Peng Fu
Impact in
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- T-cell and Retrovirus Studies
Papers in
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- Radiomics and Machine Learning in Medical Imaging 6
- Advanced MRI Techniques and Applications 2
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- RNA modifications and cancer 2
- Co-authors
- Lin Tian (4 shared papers)Suhui Sun (1 shared paper)Min Chen (1 shared paper)Shumin Wang (1 shared paper)Ranran Zhao (1 shared paper)Yunxue Xu (1 shared paper)Xiaolong Liang (1 shared paper)Sujuan Sun (1 shared paper)
- Journals
- Academic Radiology (2 papers)Molecular Imaging (2 papers)Abdominal Radiology (2 papers)Journal of Virology (1 paper)Molecular Imaging and Biology (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Peng Fu
34 papers receiving 531 citations
Peers
Comparison fields: 5 of 72
- Cancer Research 62
- Immunology 90
- Radiology, Nuclear Medicine and Imaging 93
- Agronomy and Crop Science 36
- Pulmonary and Respiratory Medicine 102
Countries citing papers authored by Peng Fu
This map shows the geographic impact of Peng 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 Peng Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Fu more than expected).
Fields of papers citing papers by Peng Fu
This network shows the impact of papers produced by Peng 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 Peng Fu. The network helps show where Peng Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Peng 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 81 | |
| 2 | 2000 | 72 | |
| 3 | 2013 | 67 | |
| 4 | 2019 | 37 | |
| 5 | 2010 | 26 | |
| 6 | 2022 | 24 | |
| 7 | 2016 | 24 | |
| 8 | 2022 | 21 | |
| 9 | 2021 | 19 | |
| 10 | 2023 | 17 | |
| 11 | 2024 | 16 | |
| 12 | 2021 | 15 | |
| 13 | 2024 | 13 | |
| 14 | 2021 | 13 | |
| 15 | 2022 | 12 | |
| 16 | 2021 | 10 | |
| 17 | 2015 | 10 | |
| 18 | 2021 | 9 | |
| 19 | 2016 | 8 | |
| 20 | 2015 | 7 |
About Peng Fu
Peng Fu is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Oncology, Neurology and Cancer Research, having authored 37 papers that have together received 541 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (6 papers), Cancer Cells and Metastasis (2 papers), Epilepsy research and treatment (2 papers), Cancer-related molecular mechanisms research (2 papers), Cancer Genomics and Diagnostics (2 papers), Advanced MRI Techniques and Applications (2 papers), RNA modifications and cancer (2 papers) and Advanced Photocatalysis Techniques (1 paper). The work is most often cited by research in Cancer Research (62 citations), Immunology (90 citations), Radiology, Nuclear Medicine and Imaging (93 citations), Agronomy and Crop Science (36 citations) and Pulmonary and Respiratory Medicine (102 citations). Peng Fu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Lin Tian, Suhui Sun, Min Chen, Shumin Wang, Ranran Zhao, Yunxue Xu, Xiaolong Liang, Sujuan Sun, Jinrui Wang and Cheng Peng. Their work appears in journals such as Academic Radiology, Molecular Imaging, Abdominal Radiology, Journal of Virology and Molecular Imaging and Biology.
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.