Minyang Fu
Impact in
- Immunology top 5%
- Immunotherapy and Immune Responses
- Immune cells in cancer
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
- CAR-T cell therapy research
Papers in
-
- Epigenetics and DNA Methylation 1
- Oncology 2
- Cancer Cells and Metastasis 2
- Co-authors
- Yuquan Wei (4 shared papers)Manni Wang (2 shared papers)Dandan Peng (3 shared papers)Xiawei Wei (1 shared paper)Xiawei Wei (4 shared papers)Dandan Wan (2 shared papers)Jian Liu (1 shared paper)Min Luo (2 shared papers)
- Journals
- Signal Transduction and Targeted Therapy (2 papers)Molecular Cancer (2 papers)Journal of Hematology & Oncology (1 paper)Genes & Diseases (1 paper)Acta Pharmaceutica Sinica B (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Minyang Fu
7 papers receiving 1.8k citations
Minyang Fu's Hit Papers
Peers
Comparison fields: 5 of 98
- Immunology 497
- Oncology 483
- Cell Biology 256
- Cancer Research 210
- Molecular Biology 759
Countries citing papers authored by Minyang Fu
This map shows the geographic impact of Minyang 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 Minyang Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minyang Fu more than expected).
Fields of papers citing papers by Minyang Fu
This network shows the impact of papers produced by Minyang 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 Minyang Fu. The network helps show where Minyang Fu may publish in the future.
Co-authors
The 23 scholars most cited alongside Minyang 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 | Targeting TGF-β signal transduction for fibrosis and cancer therapy Hit paper breakdown → | 2022 | 725 |
| 2 | Cancer vaccines as promising immuno-therapeutics: platforms and current progress Hit paper breakdown → | 2022 | 516 |
| 3 | The Hippo signalling pathway and its implications in human health and diseases Hit paper breakdown → | 2022 | 418 |
| 4 | 2023 | 82 | |
| 5 | 2022 | 60 | |
| 6 | 2025 | 2 | |
| 7 | 2023 | 1 |
About Minyang Fu
Minyang Fu is a scholar working on Molecular Biology, Oncology, Infectious Diseases, Health and Animal Science and Zoology, having authored 7 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (2 papers), Diet and metabolism studies (1 paper), Hippo pathway signaling and YAP/TAZ (1 paper), Epigenetics and DNA Methylation (1 paper), Vaccine Coverage and Hesitancy (1 paper), Immunotherapy and Immune Responses (1 paper), Liver physiology and pathology (1 paper) and Diet, Metabolism, and Disease (1 paper). The work is most often cited by research in Immunology (497 citations), Oncology (483 citations), Cell Biology (256 citations), Cancer Research (210 citations) and Molecular Biology (759 citations). Minyang Fu has collaborated with scholars based in China and United States. Frequent co-authors include Yuquan Wei, Manni Wang, Dandan Peng, Xiawei Wei, Xiawei Wei, Dandan Wan, Jian Liu, Min Luo, Yuan Hu and Tianxia Lan. Their work appears in journals such as Signal Transduction and Targeted Therapy, Molecular Cancer, Journal of Hematology & Oncology, Genes & Diseases and Acta Pharmaceutica Sinica B.
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.