Fang Yu
Impact in
- Process Chemistry and Technology top 10%
- Carbon dioxide utilization in catalysis
- Biomaterials top 5%
- biodegradable polymer synthesis and properties
Papers in
-
- Bone Metabolism and Diseases 7
- TGF-β signaling in diseases 5
- Wnt/β-catenin signaling in development and cancer 2
- Biomaterials 10
- biodegradable polymer synthesis and properties 10
- Co-authors
- Qiuhui Hu (3 shared papers)Jianchun Sheng (2 shared papers)Liyan Zhao (2 shared papers)Zhihong Xin (2 shared papers)Yoshio Inoue (9 shared papers)Nobuo Nakamura (5 shared papers)Juan Xu (2 shared papers)K. Prashantha (1 shared paper)
- Journals
- Carbohydrate Polymers (3 papers)Macromolecular Bioscience (3 papers)Polymer (3 papers)Molecular Biology Reports (2 papers)Molecules (2 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Fang Yu
31 papers receiving 950 citations
Peers
Comparison fields: 5 of 99
- Process Chemistry and Technology 55
- Biomaterials 224
- Aquatic Science 91
- Biochemistry 57
- Nutrition and Dietetics 93
Countries citing papers authored by Fang Yu
This map shows the geographic impact of Fang Yu'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 Fang Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang Yu more than expected).
Fields of papers citing papers by Fang Yu
This network shows the impact of papers produced by Fang Yu. 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 Fang Yu. The network helps show where Fang Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Fang Yu, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 198 | |
| 2 | 2005 | 151 | |
| 3 | 2012 | 61 | |
| 4 | 2006 | 59 | |
| 5 | 2008 | 54 | |
| 6 | 2008 | 41 | |
| 7 | 2009 | 35 | |
| 8 | 2009 | 34 | |
| 9 | 2011 | 34 | |
| 10 | 2013 | 33 | |
| 11 | 2011 | 33 | |
| 12 | 2010 | 32 | |
| 13 | 2015 | 31 | |
| 14 | 2012 | 27 | |
| 15 | 2012 | 24 | |
| 16 | 2021 | 14 | |
| 17 | 2012 | 13 | |
| 18 | 2007 | 13 | |
| 19 | 2023 | 13 | |
| 20 | 2010 | 13 |
About Fang Yu
Fang Yu is a scholar working on Molecular Biology, Biomaterials, Process Chemistry and Technology, Polymers and Plastics and Pathology and Forensic Medicine, having authored 34 papers that have together received 974 indexed citations. Recurring topics across this work include biodegradable polymer synthesis and properties (10 papers), Polymer crystallization and properties (7 papers), Carbon dioxide utilization in catalysis (7 papers), Bone Metabolism and Diseases (7 papers), TGF-β signaling in diseases (5 papers), Bone health and osteoporosis research (3 papers), Wnt/β-catenin signaling in development and cancer (2 papers) and Traditional Chinese Medicine Analysis (2 papers). The work is most often cited by research in Process Chemistry and Technology (55 citations), Biomaterials (224 citations), Aquatic Science (91 citations), Biochemistry (57 citations) and Nutrition and Dietetics (93 citations). Fang Yu has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Qiuhui Hu, Jianchun Sheng, Liyan Zhao, Zhihong Xin, Yoshio Inoue, Nobuo Nakamura, Juan Xu, K. Prashantha, Marie‐France Lacrampe and J. Soulestin. Their work appears in journals such as Carbohydrate Polymers, Macromolecular Bioscience, Polymer, Molecular Biology Reports and Molecules.
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.