Su Fu
Impact in
- Genetics top 5%
- Mesenchymal stem cell research
- Parasitology top 10%
- Vector-borne infectious diseases
Papers in
- Co-authors
- Jie Luan (22 shared papers)Martin M. Knight (2 shared papers)Qian Wang (11 shared papers)Stephen D. Thorpe (1 shared paper)Clare L. Thompson (1 shared paper)Minqiang Xin (8 shared papers)Dan Jin (3 shared papers)Jianqun Wu (4 shared papers)
- Journals
- Aesthetic Plastic Surgery (7 papers)Aesthetic Surgery Journal (4 papers)Annals of Plastic Surgery (3 papers)Plastic & Reconstructive Surgery (3 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Su Fu
52 papers receiving 733 citations
Peers
Comparison fields: 5 of 99
- Genetics 167
- Parasitology 50
- Rehabilitation 52
- Biomaterials 96
- Cellular and Molecular Neuroscience 125
Countries citing papers authored by Su Fu
This map shows the geographic impact of Su 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 Su Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su Fu more than expected).
Fields of papers citing papers by Su Fu
This network shows the impact of papers produced by Su 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 Su Fu. The network helps show where Su Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Su 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 101 | |
| 2 | 2013 | 58 | |
| 3 | 2018 | 56 | |
| 4 | 2015 | 51 | |
| 5 | 2014 | 50 | |
| 6 | 2014 | 40 | |
| 7 | 2013 | 33 | |
| 8 | 2017 | 32 | |
| 9 | 2017 | 30 | |
| 10 | 2014 | 27 | |
| 11 | 2013 | 23 | |
| 12 | 2015 | 19 | |
| 13 | 2013 | 16 | |
| 14 | 2018 | 14 | |
| 15 | 2016 | 13 | |
| 16 | 2019 | 12 | |
| 17 | 2016 | 12 | |
| 18 | 2022 | 12 | |
| 19 | 2019 | 12 | |
| 20 | 2021 | 9 |
About Su Fu
Su Fu is a scholar working on Surgery, Genetics, Biomaterials, Molecular Biology and Cellular and Molecular Neuroscience, having authored 56 papers that have together received 738 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (18 papers), Electrospun Nanofibers in Biomedical Applications (15 papers), Tissue Engineering and Regenerative Medicine (14 papers), Neuropeptides and Animal Physiology (7 papers), Wound Healing and Treatments (6 papers), Axon Guidance and Neuronal Signaling (5 papers), Spine and Intervertebral Disc Pathology (5 papers) and Body Contouring and Surgery (5 papers). The work is most often cited by research in Genetics (167 citations), Parasitology (50 citations), Rehabilitation (52 citations), Biomaterials (96 citations) and Cellular and Molecular Neuroscience (125 citations). Su Fu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Jie Luan, Martin M. Knight, Qian Wang, Stephen D. Thorpe, Clare L. Thompson, Minqiang Xin, Dan Jin, Dan Jin, Jianqun Wu and Dali Mu. Their work appears in journals such as Aesthetic Plastic Surgery, Aesthetic Surgery Journal, Annals of Plastic Surgery, Plastic & Reconstructive Surgery and Scientific Reports.
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.