Su Fu
Impact in
- Genetics top 10%
- 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)Hannah K. Heywood (1 shared paper)Stephen D. Thorpe (1 shared paper)Clare L. Thompson (1 shared paper)Qian Wang (11 shared papers)Minqiang Xin (8 shared papers)Dan Jin (3 shared papers)
- Journals
- Aesthetic Plastic Surgery (7 papers)Aesthetic Surgery Journal (4 papers)Plastic & Reconstructive Surgery (3 papers)Annals of Plastic Surgery (3 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Su Fu
56 papers receiving 780 citations
Peers
Comparison fields: 5 of 94
- Genetics 144
- Parasitology 54
- Cellular and Molecular Neuroscience 117
- Orthopedics and Sports Medicine 44
- Biomaterials 63
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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 111 | |
| 2 | 2018 | 61 | |
| 3 | 2013 | 61 | |
| 4 | 2014 | 51 | |
| 5 | 2015 | 51 | |
| 6 | 2014 | 41 | |
| 7 | 2013 | 34 | |
| 8 | 2017 | 33 | |
| 9 | 2014 | 30 | |
| 10 | 2017 | 30 | |
| 11 | 2013 | 24 | |
| 12 | 2015 | 20 | |
| 13 | 2013 | 16 | |
| 14 | 2018 | 15 | |
| 15 | 2019 | 14 | |
| 16 | 2019 | 13 | |
| 17 | 2016 | 13 | |
| 18 | 2022 | 13 | |
| 19 | 2016 | 12 | |
| 20 | 2021 | 10 |
About Su Fu
Su Fu is a scholar working on Surgery, Genetics, Molecular Biology, Cellular and Molecular Neuroscience and Biomaterials, having authored 57 papers that have together received 785 indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (13 papers), Mesenchymal stem cell research (12 papers), Electrospun Nanofibers in Biomedical Applications (8 papers), Neuropeptides and Animal Physiology (7 papers), Axon Guidance and Neuronal Signaling (5 papers), Spine and Intervertebral Disc Pathology (4 papers), Breast Implant and Reconstruction (4 papers) and Wnt/β-catenin signaling in development and cancer (3 papers). The work is most often cited by research in Genetics (144 citations), Parasitology (54 citations), Cellular and Molecular Neuroscience (117 citations), Orthopedics and Sports Medicine (44 citations) and Biomaterials (63 citations). Su Fu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Jie Luan, Martin M. Knight, Hannah K. Heywood, Stephen D. Thorpe, Clare L. Thompson, Qian Wang, Minqiang Xin, Dan Jin, Jianqun Wu and Dan Jin. Their work appears in journals such as Aesthetic Plastic Surgery, Aesthetic Surgery Journal, Plastic & Reconstructive Surgery, Annals of Plastic 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.