Yan Han
Impact in
- Rehabilitation top 1%
- Wound Healing and Treatments
- Molecular Medicine top 5%
Papers in
-
- Ubiquitin and proteasome pathways 5
- RNA modifications and cancer 5
- RNA and protein synthesis mechanisms 4
-
- Wound Healing and Treatments 7
- Co-authors
- Jiang Chang (8 shared papers)Haiyan Li (4 shared papers)Shu‐Bing Qian (4 shared papers)Botao Liu (3 shared papers)Jinliang Peng (4 shared papers)Yuhong Xu (3 shared papers)Xiaoya Wang (3 shared papers)Yonghui Li (2 shared papers)
- Journals
- Journal of Materials Chemistry B (3 papers)Journal of Biological Chemistry (3 papers)PLoS ONE (2 papers)Molecular Cell (1 paper)Cell Research (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yan Han
38 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 117
- Rehabilitation 253
- Molecular Medicine 143
- Hematology 254
- Biomaterials 320
- Molecular Biology 824
Countries citing papers authored by Yan Han
This map shows the geographic impact of Yan 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 Yan Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Han more than expected).
Fields of papers citing papers by Yan Han
This network shows the impact of papers produced by Yan 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 Yan Han. The network helps show where Yan Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 230 | |
| 2 | 2013 | 188 | |
| 3 | 2009 | 176 | |
| 4 | 2017 | 134 | |
| 5 | 2013 | 132 | |
| 6 | 2015 | 96 | |
| 7 | 2018 | 91 | |
| 8 | 2010 | 90 | |
| 9 | 2017 | 85 | |
| 10 | 2018 | 82 | |
| 11 | 2013 | 66 | |
| 12 | 2012 | 54 | |
| 13 | 2015 | 48 | |
| 14 | 2010 | 38 | |
| 15 | 2014 | 37 | |
| 16 | 2011 | 29 | |
| 17 | 2017 | 27 | |
| 18 | 2019 | 23 | |
| 19 | 2018 | 22 | |
| 20 | 2015 | 21 |
About Yan Han
Yan Han is a scholar working on Molecular Biology, Rehabilitation, Surgery, Biomaterials and Biomedical Engineering, having authored 41 papers that have together received 1.8k indexed citations. Recurring topics across this work include Wound Healing and Treatments (7 papers), Ubiquitin and proteasome pathways (5 papers), Electrospun Nanofibers in Biomedical Applications (5 papers), Bone Tissue Engineering Materials (5 papers), RNA modifications and cancer (5 papers), RNA and protein synthesis mechanisms (4 papers), Acute Myeloid Leukemia Research (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). The work is most often cited by research in Rehabilitation (253 citations), Molecular Medicine (143 citations), Hematology (254 citations), Biomaterials (320 citations) and Molecular Biology (824 citations). Yan Han has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jiang Chang, Haiyan Li, Shu‐Bing Qian, Botao Liu, Jinliang Peng, Yuhong Xu, Xiaoya Wang, Yonghui Li, Long Gao and Min Xing. Their work appears in journals such as Journal of Materials Chemistry B, Journal of Biological Chemistry, PLoS ONE, Molecular Cell and Cell Research.
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.