Yao Han
Impact in
- Biomaterials top 5%
- Electrospun Nanofibers in Biomedical Applications
- Polymers and Plastics top 10%
- Conducting polymers and applications
Papers in
-
- Cyclopropane Reaction Mechanisms 3
- Catalytic C–H Functionalization Methods 3
- Ferrocene Chemistry and Applications 2
- Catalytic Alkyne Reactions 2
- Co-authors
- Jin Zhou (7 shared papers)Yuwei Zhao (8 shared papers)Chunlan Wang (3 shared papers)Kerry J. Gilmore (1 shared paper)Amy Gelmi (1 shared paper)Graeme M. Clark (1 shared paper)Gordon G. Wallace (1 shared paper)Magdalena Kita (1 shared paper)
In The Last Decade
Yao Han
24 papers receiving 681 citations
Peers
Comparison fields: 5 of 87
- Biomaterials 266
- Polymers and Plastics 124
- Cellular and Molecular Neuroscience 158
- Biomedical Engineering 343
- Organic Chemistry 119
Countries citing papers authored by Yao Han
This map shows the geographic impact of Yao 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 Yao Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yao Han more than expected).
Fields of papers citing papers by Yao Han
This network shows the impact of papers produced by Yao 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 Yao Han. The network helps show where Yao Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Yao 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 182 | |
| 2 | 2014 | 144 | |
| 3 | 2017 | 72 | |
| 4 | 2015 | 67 | |
| 5 | 2007 | 56 | |
| 6 | 2013 | 39 | |
| 7 | 2007 | 38 | |
| 8 | 2018 | 15 | |
| 9 | 2016 | 13 | |
| 10 | 2017 | 10 | |
| 11 | 2019 | 9 | |
| 12 | 2016 | 9 | |
| 13 | 2015 | 9 | |
| 14 | 2020 | 6 | |
| 15 | 2005 | 5 | |
| 16 | 2007 | 4 | |
| 17 | 2005 | 3 | |
| 18 | 2011 | 2 | |
| 19 | 2008 | 2 | |
| 20 | 2010 | 2 |
About Yao Han
Yao Han is a scholar working on Organic Chemistry, Molecular Biology, Cognitive Neuroscience, Biomaterials and Cellular and Molecular Neuroscience, having authored 26 papers that have together received 691 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (4 papers), Electrospun Nanofibers in Biomedical Applications (4 papers), Neural dynamics and brain function (4 papers), Tissue Engineering and Regenerative Medicine (3 papers), Cyclopropane Reaction Mechanisms (3 papers), Catalytic C–H Functionalization Methods (3 papers), Ferrocene Chemistry and Applications (2 papers) and Catalytic Alkyne Reactions (2 papers). The work is most often cited by research in Biomaterials (266 citations), Polymers and Plastics (124 citations), Cellular and Molecular Neuroscience (158 citations), Biomedical Engineering (343 citations) and Organic Chemistry (119 citations). Yao Han has collaborated with scholars based in China, Australia and Canada. Frequent co-authors include Jin Zhou, Yuwei Zhao, Chunlan Wang, Kerry J. Gilmore, Amy Gelmi, Graeme M. Clark, Gordon G. Wallace, Magdalena Kita, Simon E. Moulton and Michael J. Higgins. Their work appears in journals such as Scientific Reports, Biomaterials, Synthesis, Neurochemical Research and Science China Technological Sciences.
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.