Gen-Que Fu
Impact in
- Biomaterials top 10%
- Advanced Cellulose Research Studies
- Electrospun Nanofibers in Biomedical Applications
- Nanocomposite Films for Food Packaging
- biodegradable polymer synthesis and properties
- Molecular Medicine top 10%
- Hydrogels: synthesis, properties, applications
Papers in
-
- Advanced Cellulose Research Studies 6
- Electrospun Nanofibers in Biomedical Applications 2
- Nanocomposite Films for Food Packaging 2
-
- Bamboo properties and applications 3
- Co-authors
- Feng Peng (8 shared papers)Run‐Cang Sun (7 shared papers)Panpan Yue (6 shared papers)Mingfei Li (3 shared papers)Yajie Hu (3 shared papers)Changxia Sun (1 shared paper)Jing Bian (4 shared papers)Gegu Chen (3 shared papers)
- Journals
- Scientific Reports (2 papers)International Journal of Biological Macromolecules (1 paper)Cellulose (1 paper)Journal of Agricultural and Food Chemistry (1 paper)RSC Advances (1 paper)
- Partner nations
- China
In The Last Decade
Gen-Que Fu
11 papers receiving 496 citations
Peers
Comparison fields: 5 of 99
- Biomaterials 143
- Molecular Medicine 46
- Biomedical Engineering 167
- Plant Science 109
- Food Science 49
Countries citing papers authored by Gen-Que Fu
This map shows the geographic impact of Gen-Que 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 Gen-Que Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gen-Que Fu more than expected).
Fields of papers citing papers by Gen-Que Fu
This network shows the impact of papers produced by Gen-Que 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 Gen-Que Fu. The network helps show where Gen-Que Fu may publish in the future.
Co-authors
The 21 scholars most cited alongside Gen-Que 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 | 2017 | 283 | |
| 2 | 2020 | 43 | |
| 3 | 2014 | 41 | |
| 4 | 2018 | 28 | |
| 5 | 2016 | 27 | |
| 6 | 2019 | 27 | |
| 7 | 2016 | 27 | |
| 8 | 2017 | 10 | |
| 9 | 2018 | 7 | |
| 10 | 2018 | 6 | |
| 11 | 2018 | 3 |
About Gen-Que Fu
Gen-Que Fu is a scholar working on Biomaterials, Plant Science, Polymers and Plastics, Biomedical Engineering and Molecular Medicine, having authored 11 papers that have together received 502 indexed citations. Recurring topics across this work include Advanced Cellulose Research Studies (6 papers), Lignin and Wood Chemistry (3 papers), Bamboo properties and applications (3 papers), Electrospun Nanofibers in Biomedical Applications (2 papers), Hydrogels: synthesis, properties, applications (2 papers), Nanocomposite Films for Food Packaging (2 papers), Polymer Nanocomposites and Properties (2 papers) and Biofuel production and bioconversion (2 papers). The work is most often cited by research in Biomaterials (143 citations), Molecular Medicine (46 citations), Biomedical Engineering (167 citations), Plant Science (109 citations) and Food Science (49 citations). Gen-Que Fu has collaborated with scholars based in China. Frequent co-authors include Feng Peng, Run‐Cang Sun, Panpan Yue, Mingfei Li, Yajie Hu, Changxia Sun, Jing Bian, Gegu Chen, Chunli Yao and Xiang Hao. Their work appears in journals such as Scientific Reports, International Journal of Biological Macromolecules, Cellulose, Journal of Agricultural and Food Chemistry and RSC Advances.
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.