Fu Han
Impact in
- Rehabilitation top 2%
- Wound Healing and Treatments
- Genetics top 5%
- Mesenchymal stem cell research
Papers in
- Physiology 15
- Pain Mechanisms and Treatments 10
- Co-authors
- Dahai Hu (27 shared papers)Wei Sun (5 shared papers)Jun Chen (5 shared papers)Xiaozhi Bai (11 shared papers)Weixia Cai (9 shared papers)Jihong Shi (9 shared papers)Zhenzhen Li (8 shared papers)Shichao Han (9 shared papers)
- Journals
- Archives of Biochemistry and Biophysics (4 papers)Neuroscience Bulletin (3 papers)Cellular Physiology and Biochemistry (2 papers)Journal of Molecular Histology (2 papers)Biochemical and Biophysical Research Communications (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Fu Han
64 papers receiving 1.6k citations
Fu Han's Hit Papers
Peers
Comparison fields: 5 of 116
- Rehabilitation 260
- Genetics 191
- Cancer Research 231
- Dermatology 109
- Geriatrics and Gerontology 47
Countries citing papers authored by Fu Han
This map shows the geographic impact of Fu Han'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 Fu Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fu Han more than expected).
Fields of papers citing papers by Fu Han
This network shows the impact of papers produced by Fu Han. 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 Fu Han. The network helps show where Fu Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Fu Han, 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Cell-free therapy based on adipose tissue stem cell-derived exosomes promotes wound healing via the PI3K/Akt signaling pathway Hit paper breakdown → | 2018 | 294 |
| 2 | 2016 | 141 | |
| 3 | 2015 | 60 | |
| 4 | 2015 | 56 | |
| 5 | 2018 | 51 | |
| 6 | 2017 | 50 | |
| 7 | 2014 | 48 | |
| 8 | 2018 | 44 | |
| 9 | 2014 | 44 | |
| 10 | 2018 | 42 | |
| 11 | 2020 | 40 | |
| 12 | 2023 | 39 | |
| 13 | 2013 | 34 | |
| 14 | 2016 | 34 | |
| 15 | 2015 | 34 | |
| 16 | 2014 | 32 | |
| 17 | 2014 | 31 | |
| 18 | 2018 | 31 | |
| 19 | 2011 | 30 | |
| 20 | 2018 | 30 |
About Fu Han
Fu Han is a scholar working on Molecular Biology, Physiology, Rehabilitation, Pharmacology and Dermatology, having authored 66 papers that have together received 1.6k indexed citations. Recurring topics across this work include Wound Healing and Treatments (12 papers), Pain Mechanisms and Treatments (10 papers), Dermatologic Treatments and Research (8 papers), Mesenchymal stem cell research (7 papers), Healthcare and Venom Research (7 papers), Bee Products Chemical Analysis (7 papers), Immune cells in cancer (6 papers) and Autophagy in Disease and Therapy (4 papers). The work is most often cited by research in Rehabilitation (260 citations), Genetics (191 citations), Cancer Research (231 citations), Dermatology (109 citations) and Geriatrics and Gerontology (47 citations). Fu Han has collaborated with scholars based in China and United States. Frequent co-authors include Dahai Hu, Wei Sun, Jun Chen, Xiaozhi Bai, Weixia Cai, Jihong Shi, Zhenzhen Li, Shichao Han, Yijie Zhang and Su‐Min Guan. Their work appears in journals such as Archives of Biochemistry and Biophysics, Neuroscience Bulletin, Cellular Physiology and Biochemistry, Journal of Molecular Histology and Biochemical and Biophysical Research Communications.
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.