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
-
- SARS-CoV-2 and COVID-19 Research 5
- Viral gastroenteritis research and epidemiology 1
-
- Animal Virus Infections Studies 3
- Co-authors
- Yuquan Wei (4 shared papers)Xiawei Wei (5 shared papers)Manni Wang (2 shared papers)Dandan Peng (3 shared papers)Min Luo (2 shared papers)Yuan Hu (2 shared papers)Dandan Wan (2 shared papers)Jian Liu (1 shared paper)
- Journals
- Signal Transduction and Targeted Therapy (2 papers)Molecular Cancer (2 papers)Journal of Hematology & Oncology (1 paper)Genes & Diseases (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Minyang Fu
11 papers receiving 2.0k citations
Minyang Fu's Hit Papers
Peers
Comparison fields: 5 of 100
- Immunology 531
- Oncology 502
- Cell Biology 289
- Cancer Research 215
- Molecular Biology 803
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 22 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 | 797 |
| 2 | Cancer vaccines as promising immuno-therapeutics: platforms and current progress Hit paper breakdown → | 2022 | 563 |
| 3 | The Hippo signalling pathway and its implications in human health and diseases Hit paper breakdown → | 2022 | 481 |
| 4 | 2023 | 95 | |
| 5 | 2022 | 63 | |
| 6 | 2023 | 11 | |
| 7 | 2024 | 6 | |
| 8 | 2025 | 3 | |
| 9 | 2023 | 2 | |
| 10 | 2024 | 1 | |
| 11 | 2025 | 1 |
About Minyang Fu
Minyang Fu is a scholar working on Infectious Diseases, Animal Science and Zoology, Immunology, Molecular Biology and Oncology, having authored 11 papers that have together received 2.0k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), Animal Virus Infections Studies (3 papers), Cancer Cells and Metastasis (2 papers), Immunotherapy and Immune Responses (2 papers), Viral gastroenteritis research and epidemiology (1 paper), Vaccine Coverage and Hesitancy (1 paper), RNA modifications and cancer (1 paper) and Respiratory viral infections research (1 paper). The work is most often cited by research in Immunology (531 citations), Oncology (502 citations), Cell Biology (289 citations), Cancer Research (215 citations) and Molecular Biology (803 citations). Minyang Fu has collaborated with scholars based in China and United States. Frequent co-authors include Yuquan Wei, Xiawei Wei, Manni Wang, Dandan Peng, Min Luo, Yuan Hu, Dandan Wan, Jian Liu, Tianxia Lan and Kun‐Liang Guan. Their work appears in journals such as Signal Transduction and Targeted Therapy, Molecular Cancer, Journal of Hematology & Oncology, Genes & Diseases and Journal of Clinical Investigation.
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.