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
- Synthesis and Catalytic Reactions 2
- Co-authors
- Jin Zhou (7 shared papers)Chunlan Wang (3 shared papers)Yuwei Zhao (8 shared papers)Michael J. Higgins (1 shared paper)Gordon G. Wallace (1 shared paper)Kerry J. Gilmore (1 shared paper)Amy Gelmi (1 shared paper)Robert M. I. Kapsa (1 shared paper)
- Journals
- Scientific Reports (2 papers)Synthesis (2 papers)Biomaterials (2 papers)Science China Information Sciences (1 paper)RSC Advances (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yao Han
24 papers receiving 689 citations
Peers
Comparison fields: 5 of 88
- Biomaterials 260
- Polymers and Plastics 124
- Cellular and Molecular Neuroscience 152
- Biomedical Engineering 334
- Surgery 176
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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 184 | |
| 2 | 2014 | 145 | |
| 3 | 2017 | 74 | |
| 4 | 2015 | 67 | |
| 5 | 2007 | 56 | |
| 6 | 2013 | 39 | |
| 7 | 2007 | 38 | |
| 8 | 2018 | 15 | |
| 9 | 2016 | 13 | |
| 10 | 2017 | 11 | |
| 11 | 2019 | 9 | |
| 12 | 2016 | 9 | |
| 13 | 2015 | 9 | |
| 14 | 2020 | 7 | |
| 15 | 2005 | 5 | |
| 16 | 2007 | 4 | |
| 17 | 2005 | 3 | |
| 18 | 2010 | 2 | |
| 19 | 2011 | 2 | |
| 20 | 2008 | 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 27 papers that have together received 698 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), Cyclopropane Reaction Mechanisms (3 papers), Catalytic C–H Functionalization Methods (3 papers), Tissue Engineering and Regenerative Medicine (3 papers), Ferrocene Chemistry and Applications (2 papers) and Synthesis and Catalytic Reactions (2 papers). The work is most often cited by research in Biomaterials (260 citations), Polymers and Plastics (124 citations), Cellular and Molecular Neuroscience (152 citations), Biomedical Engineering (334 citations) and Surgery (176 citations). Yao Han has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jin Zhou, Chunlan Wang, Yuwei Zhao, Michael J. Higgins, Gordon G. Wallace, Kerry J. Gilmore, Amy Gelmi, Robert M. I. Kapsa, Magdalena Kita and Graeme M. Clark. Their work appears in journals such as Scientific Reports, Synthesis, Biomaterials, Science China Information Sciences and RSC Advances.
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.