Yi Fu
Impact in
- Biochemistry top 5%
- Eicosanoids and Hypertension Pharmacology
-
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Cancer-related molecular mechanisms research 4
- MicroRNA in disease regulation 3
- Co-authors
- Jiamei Le (10 shared papers)Jaye Chin‐Dusting (5 shared papers)Qiu-Qin Han (8 shared papers)Yujie Ma (10 shared papers)Hailong Wu (9 shared papers)Nanping Wang (1 shared paper)Yi Zhu (1 shared paper)Hiromasa Tanaka (1 shared paper)
- Journals
- Frontiers in Pharmacology (3 papers)Applied Sciences (2 papers)PLoS ONE (2 papers)Neuro-Oncology (2 papers)BMC Cancer (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yi Fu
43 papers receiving 966 citations
Yi Fu's Hit Papers
Peers
Comparison fields: 5 of 104
- Biochemistry 140
- Cancer Research 129
- Endocrinology, Diabetes and Metabolism 110
- Genetics 55
- Immunology 99
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
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Cellular ATP demand creates metabolically distinct subpopulations of mitochondria Hit paper breakdown → | 2024 | 143 |
| 2 | 2007 | 134 | |
| 3 | 2019 | 73 | |
| 4 | 2015 | 66 | |
| 5 | 2012 | 55 | |
| 6 | 2021 | 48 | |
| 7 | 2021 | 39 | |
| 8 | 2021 | 34 | |
| 9 | 2012 | 33 | |
| 10 | 2017 | 29 | |
| 11 | 2012 | 27 | |
| 12 | 2021 | 23 | |
| 13 | 2021 | 20 | |
| 14 | 2021 | 18 | |
| 15 | 2021 | 17 | |
| 16 | 2021 | 16 | |
| 17 | 2021 | 16 | |
| 18 | 2023 | 15 | |
| 19 | 2021 | 15 | |
| 20 | 2021 | 15 |
About Yi Fu
Yi Fu is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Oncology and Physiology, having authored 43 papers that have together received 971 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), Blood properties and coagulation (3 papers), MicroRNA in disease regulation (3 papers), Nitric Oxide and Endothelin Effects (2 papers), Advanced Photocatalysis Techniques (2 papers), Phytochemistry and biological activity of medicinal plants (2 papers), Immune cells in cancer (2 papers) and ZnO doping and properties (2 papers). The work is most often cited by research in Biochemistry (140 citations), Cancer Research (129 citations), Endocrinology, Diabetes and Metabolism (110 citations), Genetics (55 citations) and Immunology (99 citations). Yi Fu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jiamei Le, Jaye Chin‐Dusting, Qiu-Qin Han, Yujie Ma, Hailong Wu, Nanping Wang, Yi Zhu, Hiromasa Tanaka, Ding Ai and Wei Kong. Their work appears in journals such as Frontiers in Pharmacology, Applied Sciences, PLoS ONE, Neuro-Oncology and BMC Cancer.
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.