Yang Fu
Impact in
- Geriatrics and Gerontology top 10%
- Oncology top 10%
- CAR-T cell therapy research
- Pancreatic and Hepatic Oncology Research
Papers in
-
- Gut microbiota and health 4
- RNA modifications and cancer 4
- Surgery 19
- Pancreatitis Pathology and Treatment 11
- Esophageal Cancer Research and Treatment 3
- Co-authors
- Ge Yang (6 shared papers)Qixiang Mei (7 shared papers)Yi Zhang (2 shared papers)Hao He (1 shared paper)Yue Zeng (6 shared papers)Garry M. Steil (1 shared paper)Richard N. Bergman (1 shared paper)Kerstin Rebrin (1 shared paper)
- Journals
- Biomedicine & Pharmacotherapy (4 papers)Cell Death Discovery (3 papers)The FASEB Journal (2 papers)Cell Death and Disease (2 papers)OncoTargets and Therapy (2 papers)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Yang Fu
56 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 96
- Geriatrics and Gerontology 33
- Oncology 253
- Cancer Research 113
- Molecular Biology 464
- Immunology 135
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
Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 139 | |
| 2 | 1997 | 78 | |
| 3 | 2022 | 77 | |
| 4 | 2021 | 70 | |
| 5 | 2019 | 51 | |
| 6 | 2014 | 47 | |
| 7 | 2019 | 47 | |
| 8 | 2023 | 44 | |
| 9 | 2021 | 40 | |
| 10 | High expression of biglycan is associated with poor prognosis in patients with esophageal squamous cell carcinoma. | 2013 | 40 |
| 11 | 2013 | 31 | |
| 12 | 2021 | 29 | |
| 13 | 2021 | 28 | |
| 14 | 2022 | 26 | |
| 15 | 2017 | 25 | |
| 16 | 2023 | 24 | |
| 17 | 2021 | 22 | |
| 18 | 2014 | 22 | |
| 19 | 2017 | 22 | |
| 20 | 2022 | 21 |
About Yang Fu
Yang Fu is a scholar working on Molecular Biology, Surgery, Oncology, Cancer Research and Biomedical Engineering, having authored 65 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pancreatitis Pathology and Treatment (11 papers), Gastrointestinal Tumor Research and Treatment (5 papers), MicroRNA in disease regulation (5 papers), Gut microbiota and health (4 papers), RNA modifications and cancer (4 papers), Cancer-related Molecular Pathways (3 papers), Skin Protection and Aging (3 papers) and Esophageal Cancer Research and Treatment (3 papers). The work is most often cited by research in Geriatrics and Gerontology (33 citations), Oncology (253 citations), Cancer Research (113 citations), Molecular Biology (464 citations) and Immunology (135 citations). Yang Fu has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Ge Yang, Qixiang Mei, Yi Zhang, Hao He, Yue Zeng, Garry M. Steil, Richard N. Bergman, Kerstin Rebrin, Steven D. Mittelman and Xiefu Zhang. Their work appears in journals such as Biomedicine & Pharmacotherapy, Cell Death Discovery, The FASEB Journal, Cell Death and Disease and OncoTargets and Therapy.
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.