Yujun Pan
Impact in
- Polymers and Plastics top 10%
- Conducting polymers and applications
-
- Carbon Nanotubes in Composites
- Graphene research and applications
Papers in
-
- Visual perception and processing mechanisms 4
- Motor Control and Adaptation 3
- Spatial Neglect and Hemispheric Dysfunction 3
- Neural and Behavioral Psychology Studies 2
- Co-authors
- George J. Weng (4 shared papers)S. A. Meguid (4 shared papers)Wurigumula Bao (4 shared papers)Zheng Zhu (4 shared papers)A.M.S. Hamouda (2 shared papers)Lei Li (1 shared paper)Hongchun Bao (1 shared paper)Mitali Kakran (1 shared paper)
- Journals
- Frontiers in Neuroscience (2 papers)Journal of Applied Physics (2 papers)Mechanics of Materials (2 papers)Frontiers in Genetics (1 paper)Brain Research (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Yujun Pan
30 papers receiving 604 citations
Peers
Comparison fields: 5 of 95
- Polymers and Plastics 115
- Materials Chemistry 310
- Biomedical Engineering 264
- Pollution 62
- Nuclear Energy and Engineering 2
Countries citing papers authored by Yujun Pan
This map shows the geographic impact of Yujun Pan'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 Yujun Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yujun Pan more than expected).
Fields of papers citing papers by Yujun Pan
This network shows the impact of papers produced by Yujun Pan. 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 Yujun Pan. The network helps show where Yujun Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Yujun Pan, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 118 | |
| 2 | 2011 | 109 | |
| 3 | 2012 | 89 | |
| 4 | 2011 | 72 | |
| 5 | 2013 | 52 | |
| 6 | 2018 | 41 | |
| 7 | 2014 | 31 | |
| 8 | 2013 | 27 | |
| 9 | 2002 | 12 | |
| 10 | 2022 | 8 | |
| 11 | 2023 | 8 | |
| 12 | 2019 | 5 | |
| 13 | 2021 | 5 | |
| 14 | 2012 | 5 | |
| 15 | 2022 | 4 | |
| 16 | 2024 | 4 | |
| 17 | 2002 | 4 | |
| 18 | 2024 | 3 | |
| 19 | 2017 | 3 | |
| 20 | 2012 | 3 |
About Yujun Pan
Yujun Pan is a scholar working on Cognitive Neuroscience, Molecular Biology, Genetics, Materials Chemistry and Epidemiology, having authored 32 papers that have together received 617 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (4 papers), Graphene research and applications (3 papers), Motor Control and Adaptation (3 papers), Carbon Nanotubes in Composites (3 papers), Mesenchymal stem cell research (3 papers), Spatial Neglect and Hemispheric Dysfunction (3 papers), Ferroptosis and cancer prognosis (2 papers) and Neural and Behavioral Psychology Studies (2 papers). The work is most often cited by research in Polymers and Plastics (115 citations), Materials Chemistry (310 citations), Biomedical Engineering (264 citations), Pollution (62 citations) and Nuclear Energy and Engineering (2 citations). Yujun Pan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include George J. Weng, S. A. Meguid, Wurigumula Bao, Zheng Zhu, A.M.S. Hamouda, Lei Li, Hongchun Bao, Mitali Kakran, Nanda Gopal Sahoo and Fangqin Li. Their work appears in journals such as Frontiers in Neuroscience, Journal of Applied Physics, Mechanics of Materials, Frontiers in Genetics and Brain 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.