Hangjun Wu
Impact in
- Physiology top 2%
- Adenosine and Purinergic Signaling
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Photonic Crystals and Applications 16
-
- Luminescence Properties of Advanced Materials 16
- Co-authors
- Zhiguo Song (19 shared papers)Jianbei Qiu (19 shared papers)Dacheng Zhou (18 shared papers)Huifang Lou (6 shared papers)Shumin Duan (6 shared papers)Hui-quan Li (4 shared papers)Shenghai Chang (5 shared papers)Yong Yang (17 shared papers)
- Journals
- Nature Communications (2 papers)Journal of Alloys and Compounds (2 papers)Nature Protocols (1 paper)Cell Research (1 paper)Progress in Biophysics and Molecular Biology (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Hangjun Wu
32 papers receiving 980 citations
Peers
Comparison fields: 5 of 108
- Physiology 121
- Neurology 139
- Acoustics and Ultrasonics 10
- Ceramics and Composites 53
- Biological Psychiatry 19
Countries citing papers authored by Hangjun Wu
This map shows the geographic impact of Hangjun Wu'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 Hangjun Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hangjun Wu more than expected).
Fields of papers citing papers by Hangjun Wu
This network shows the impact of papers produced by Hangjun Wu. 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 Hangjun Wu. The network helps show where Hangjun Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hangjun Wu, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 191 | |
| 2 | 2021 | 108 | |
| 3 | 2013 | 76 | |
| 4 | 2020 | 75 | |
| 5 | 2013 | 63 | |
| 6 | 2021 | 58 | |
| 7 | 2007 | 53 | |
| 8 | 2018 | 52 | |
| 9 | 2012 | 46 | |
| 10 | 2014 | 27 | |
| 11 | 2014 | 25 | |
| 12 | 2022 | 22 | |
| 13 | 2013 | 22 | |
| 14 | 2013 | 20 | |
| 15 | 2023 | 18 | |
| 16 | 2015 | 17 | |
| 17 | 2013 | 16 | |
| 18 | 2015 | 15 | |
| 19 | 2013 | 14 | |
| 20 | 2013 | 13 |
About Hangjun Wu
Hangjun Wu is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry, Electrical and Electronic Engineering, Molecular Biology and Acoustics and Ultrasonics, having authored 34 papers that have together received 997 indexed citations. Recurring topics across this work include Luminescence Properties of Advanced Materials (16 papers), Photonic Crystals and Applications (16 papers), Random lasers and scattering media (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Adenosine and Purinergic Signaling (3 papers), Photonic and Optical Devices (3 papers), Photosynthetic Processes and Mechanisms (3 papers) and Advanced Electron Microscopy Techniques and Applications (2 papers). The work is most often cited by research in Physiology (121 citations), Neurology (139 citations), Acoustics and Ultrasonics (10 citations), Ceramics and Composites (53 citations) and Biological Psychiatry (19 citations). Hangjun Wu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Zhiguo Song, Jianbei Qiu, Dacheng Zhou, Huifang Lou, Shumin Duan, Hui-quan Li, Shenghai Chang, Yong Yang, Xing Zhang and Ying Dou. Their work appears in journals such as Nature Communications, Journal of Alloys and Compounds, Nature Protocols, Cell Research and Progress in Biophysics and Molecular Biology.
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.