Yang Fu
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- NF-κB Signaling Pathways
-
- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Research and Splicing
- Ubiquitin and proteasome pathways
Papers in
-
- Cancer-related molecular mechanisms research 9
- MicroRNA in disease regulation 5
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- RNA modifications and cancer 6
- Circular RNAs in diseases 2
- Co-authors
- Ge Yang (6 shared papers)Xiefu Zhang (6 shared papers)Yang Yu (4 shared papers)Jianwu Jiang (4 shared papers)Xiaoyan Lu (2 shared papers)Yanwei Ye (2 shared papers)Hongtao Dong (1 shared paper)Menghua Wang (1 shared paper)
- Journals
- Cancer Research (2 papers)Oncotarget (2 papers)Journal of Clinical Oncology (1 paper)Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics (1 paper)Molecular Carcinogenesis (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Yang Fu
16 papers receiving 360 citations
Peers
Comparison fields: 5 of 48
- Cancer Research 208
- Molecular Biology 235
- Gastroenterology 12
- Oncology 47
- Immunology 31
Countries citing papers authored by Yang Fu
This map shows the geographic impact of Yang 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 Yang Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Fu more than expected).
Fields of papers citing papers by Yang Fu
This network shows the impact of papers produced by Yang 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 Yang Fu. The network helps show where Yang Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yang 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
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 94 | |
| 2 | 2018 | 46 | |
| 3 | 2018 | 32 | |
| 4 | 2020 | 30 | |
| 5 | 2016 | 30 | |
| 6 | 2017 | 24 | |
| 7 | 2019 | 22 | |
| 8 | 2015 | 17 | |
| 9 | 2019 | 16 | |
| 10 | 2020 | 14 | |
| 11 | 2020 | 12 | |
| 12 | 2017 | 12 | |
| 13 | 2016 | 11 | |
| 14 | 2024 | 2 | |
| 15 | 2025 | 2 | |
| 16 | 2014 | 1 | |
| 17 | 2025 | 0 | |
| 18 | 2025 | 0 |
About Yang Fu
Yang Fu is a scholar working on Cancer Research, Molecular Biology, Oncology, Surgery and Gastroenterology, having authored 18 papers that have together received 365 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (9 papers), RNA modifications and cancer (6 papers), MicroRNA in disease regulation (5 papers), Circular RNAs in diseases (2 papers), interferon and immune responses (2 papers), Gastrointestinal Tumor Research and Treatment (2 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (1 paper) and Pancreatic and Hepatic Oncology Research (1 paper). The work is most often cited by research in Cancer Research (208 citations), Molecular Biology (235 citations), Gastroenterology (12 citations), Oncology (47 citations) and Immunology (31 citations). Yang Fu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Ge Yang, Xiefu Zhang, Yang Yu, Jianwu Jiang, Xiaoyan Lu, Yanwei Ye, Hongtao Dong, Menghua Wang, Ya Cao and Wei Li. Their work appears in journals such as Cancer Research, Oncotarget, Journal of Clinical Oncology, Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics and Molecular Carcinogenesis.
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.