Shi Fu
Impact in
- Urology top 5%
- Urinary Bladder and Prostate Research
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
- Surgery 20
- Bladder and Urothelial Cancer Treatments 17
- Urinary and Genital Oncology Studies 4
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- Circular RNAs in diseases 5
- Epigenetics and DNA Methylation 4
- RNA modifications and cancer 4
- Co-authors
- Haifeng Wang (12 shared papers)Xiaorong Chen (5 shared papers)Zhong Wang (7 shared papers)Meng Gu (7 shared papers)Ting Luan (11 shared papers)Chong Liu (7 shared papers)Jiansong Wang (15 shared papers)Huan Xu (5 shared papers)
- Journals
- Medicine (4 papers)Journal of Cancer (4 papers)Oncotarget (2 papers)Frontiers in Oncology (2 papers)Journal of Inflammation Research (2 papers)
- Partner nations
- ChinaUnited StatesUnited Arab Emirates
In The Last Decade
Shi Fu
49 papers receiving 495 citations
Shi Fu's Hit Papers
Peers
Comparison fields: 5 of 74
- Urology 64
- Cancer Research 106
- Pulmonary and Respiratory Medicine 89
- Molecular Biology 206
- Surgery 76
Countries citing papers authored by Shi Fu
This map shows the geographic impact of Shi 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 Shi Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shi Fu more than expected).
Fields of papers citing papers by Shi Fu
This network shows the impact of papers produced by Shi 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 Shi Fu. The network helps show where Shi Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Shi 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Comprehensive analysis of scRNA-Seq and bulk RNA-Seq reveals dynamic changes in the tumor immune microenvironment of bladder cancer and establishes a prognostic model Hit paper breakdown → | 2023 | 105 |
| 2 | 2018 | 36 | |
| 3 | 2017 | 28 | |
| 4 | 2017 | 26 | |
| 5 | 2016 | 24 | |
| 6 | 2017 | 24 | |
| 7 | 2016 | 21 | |
| 8 | 2018 | 19 | |
| 9 | 2017 | 17 | |
| 10 | 2019 | 15 | |
| 11 | 2023 | 13 | |
| 12 | 2021 | 12 | |
| 13 | 2024 | 11 | |
| 14 | 2022 | 11 | |
| 15 | 2019 | 10 | |
| 16 | 2017 | 9 | |
| 17 | 2017 | 9 | |
| 18 | 2024 | 8 | |
| 19 | 2023 | 8 | |
| 20 | 2018 | 8 |
About Shi Fu
Shi Fu is a scholar working on Surgery, Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research and Urology, having authored 59 papers that have together received 498 indexed citations. Recurring topics across this work include Bladder and Urothelial Cancer Treatments (17 papers), Ferroptosis and cancer prognosis (8 papers), Circular RNAs in diseases (5 papers), MicroRNA in disease regulation (5 papers), Cancer, Lipids, and Metabolism (4 papers), Epigenetics and DNA Methylation (4 papers), Urinary and Genital Oncology Studies (4 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Urology (64 citations), Cancer Research (106 citations), Pulmonary and Respiratory Medicine (89 citations), Molecular Biology (206 citations) and Surgery (76 citations). Shi Fu has collaborated with scholars based in China, United States and United Arab Emirates. Frequent co-authors include Haifeng Wang, Xiaorong Chen, Zhong Wang, Meng Gu, Ting Luan, Chong Liu, Jiansong Wang, Huan Xu, Juan Zhou and Yanbo Chen. Their work appears in journals such as Medicine, Journal of Cancer, Oncotarget, Frontiers in Oncology and Journal of Inflammation Research.
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.