Yi Fu
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research
Papers in
-
- ATP Synthase and ATPases Research 2
- Oncology 4
- Peptidase Inhibition and Analysis 3
- Co-authors
- Wei Kong (10 shared papers)Yi Zhu (5 shared papers)Zhujiang Liu (1 shared paper)Yicong Shen (1 shared paper)Ze Gong (1 shared paper)Nan Xie (1 shared paper)Hao Tang (1 shared paper)Yuan Zhou (1 shared paper)
- Journals
- American Journal of Physiology-Cell Physiology (2 papers)Medicine (1 paper)Economic Geography (1 paper)Human Molecular Genetics (1 paper)Circulation Research (1 paper)
- Partner nations
- ChinaUnited StatesRomania
In The Last Decade
Yi Fu
20 papers receiving 598 citations
Peers
Comparison fields: 5 of 86
- Cancer Research 163
- Immunology and Allergy 54
- Molecular Biology 374
- Immunology 100
- Cell Biology 73
Countries citing papers authored by Yi Fu
This map shows the geographic impact of Yi 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 Yi Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Fu more than expected).
Fields of papers citing papers by Yi Fu
This network shows the impact of papers produced by Yi 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 Yi Fu. The network helps show where Yi Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi 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 | 2019 | 208 | |
| 2 | 2020 | 84 | |
| 3 | 2016 | 82 | |
| 4 | 2007 | 45 | |
| 5 | 2010 | 36 | |
| 6 | 2012 | 30 | |
| 7 | 2010 | 20 | |
| 8 | 2021 | 18 | |
| 9 | 2020 | 17 | |
| 10 | 2018 | 17 | |
| 11 | 2021 | 10 | |
| 12 | 2016 | 9 | |
| 13 | 2021 | 5 | |
| 14 | 2021 | 4 | |
| 15 | 2021 | 3 | |
| 16 | 2023 | 3 | |
| 17 | 2013 | 3 | |
| 18 | COOPERATING MECHANISM OF CITY CIRCLE ECONOMY INTEGRATION BASED ON SYMBIOSIS THEORY | 2008 | 2 |
| 19 | 2024 | 2 | |
| 20 | 2016 | 2 |
About Yi Fu
Yi Fu is a scholar working on Molecular Biology, Oncology, Epidemiology, Immunology and Allergy and Immunology, having authored 20 papers that have together received 600 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (4 papers), Peptidase Inhibition and Analysis (3 papers), Connective tissue disorders research (2 papers), ATP Synthase and ATPases Research (2 papers), Atherosclerosis and Cardiovascular Diseases (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Alzheimer's disease research and treatments (1 paper) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Cancer Research (163 citations), Immunology and Allergy (54 citations), Molecular Biology (374 citations), Immunology (100 citations) and Cell Biology (73 citations). Yi Fu has collaborated with scholars based in China, United States and Romania. Frequent co-authors include Wei Kong, Yi Zhu, Zhujiang Liu, Yicong Shen, Ze Gong, Nan Xie, Hao Tang, Yuan Zhou, Xu Zhang and Wengong Wang. Their work appears in journals such as American Journal of Physiology-Cell Physiology, Medicine, Economic Geography, Human Molecular Genetics and Circulation 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.