Fu Han
Impact in
- Rehabilitation top 2%
- Wound Healing and Treatments
- Genetics top 10%
- Mesenchymal stem cell research
Papers in
-
- Wound Healing and Treatments 8
- Physiology 15
- Pain Mechanisms and Treatments 10
- Co-authors
- Dahai Hu (24 shared papers)Wei Sun (5 shared papers)Jun Chen (5 shared papers)Weixia Cai (9 shared papers)Xiaozhi Bai (10 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)Biochemical and Biophysical Research Communications (2 papers)Journal of Molecular Histology (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Fu Han
66 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 116
- Rehabilitation 240
- Genetics 168
- Cancer Research 205
- Geriatrics and Gerontology 47
- Dermatology 114
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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 316 | |
| 2 | 2016 | 151 | |
| 3 | 2015 | 62 | |
| 4 | 2015 | 60 | |
| 5 | 2018 | 59 | |
| 6 | 2017 | 53 | |
| 7 | 2014 | 50 | |
| 8 | 2023 | 48 | |
| 9 | 2020 | 46 | |
| 10 | 2018 | 46 | |
| 11 | 2014 | 45 | |
| 12 | 2018 | 44 | |
| 13 | 2016 | 39 | |
| 14 | 2013 | 36 | |
| 15 | 2015 | 36 | |
| 16 | 2011 | 35 | |
| 17 | 2018 | 34 | |
| 18 | 2014 | 33 | |
| 19 | 2014 | 32 | |
| 20 | 2019 | 31 |
About Fu Han
Fu Han is a scholar working on Rehabilitation, Physiology, Dermatology, Genetics and Cancer Research, having authored 69 papers that have together received 1.8k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (10 papers), Wound Healing and Treatments (8 papers), Dermatologic Treatments and Research (7 papers), Bee Products Chemical Analysis (7 papers), Healthcare and Venom Research (6 papers), Immune cells in cancer (6 papers), Mesenchymal stem cell research (5 papers) and Autophagy in Disease and Therapy (4 papers). The work is most often cited by research in Rehabilitation (240 citations), Genetics (168 citations), Cancer Research (205 citations), Geriatrics and Gerontology (47 citations) and Dermatology (114 citations). Fu Han has collaborated with scholars based in China and United States. Frequent co-authors include Dahai Hu, Wei Sun, Jun Chen, Weixia Cai, Xiaozhi Bai, Jihong Shi, Zhenzhen Li, Shichao Han, Su‐Min Guan and Yijie Zhang. Their work appears in journals such as Archives of Biochemistry and Biophysics, Neuroscience Bulletin, Cellular Physiology and Biochemistry, Biochemical and Biophysical Research Communications and Journal of Molecular Histology.
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.