Jun Song
Impact in
- Genetics top 10%
- Mesenchymal stem cell research
- Automotive Engineering top 10%
- Additive Manufacturing and 3D Printing Technologies
Papers in
-
- Bone Tissue Engineering Materials 2
- Advanced Chemical Sensor Technologies 2
-
- Underwater Acoustics Research 4
- Oceanographic and Atmospheric Processes 3
- Co-authors
- Lei Sun (2 shared papers)Weikai Hou (2 shared papers)Li Chen (2 shared papers)Qian Tang (2 shared papers)Rossitza Setchi (2 shared papers)Shuai Ma (2 shared papers)Qixiang Feng (2 shared papers)Yu Sun (1 shared paper)
- Journals
- The Journal of the Acoustical Society of America (4 papers)Scientific Reports (2 papers)Cell Reports (2 papers)IEEE Access (1 paper)Acta Biomaterialia (1 paper)
- Partner nations
- ChinaSouth KoreaUnited Kingdom
In The Last Decade
Jun Song
31 papers receiving 936 citations
Peers
Comparison fields: 5 of 114
- Genetics 158
- Automotive Engineering 115
- Surgery 301
- Cellular and Molecular Neuroscience 86
- Endocrine and Autonomic Systems 31
Countries citing papers authored by Jun Song
This map shows the geographic impact of Jun Song'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 Jun Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Song more than expected).
Fields of papers citing papers by Jun Song
This network shows the impact of papers produced by Jun Song. 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 Jun Song. The network helps show where Jun Song may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Song, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 171 | |
| 2 | 2007 | 153 | |
| 3 | 2020 | 83 | |
| 4 | 2013 | 79 | |
| 5 | 2018 | 74 | |
| 6 | 2008 | 55 | |
| 7 | 2013 | 51 | |
| 8 | 2007 | 51 | |
| 9 | 2020 | 31 | |
| 10 | 2021 | 22 | |
| 11 | 2020 | 21 | |
| 12 | 2022 | 19 | |
| 13 | 2021 | 17 | |
| 14 | 2020 | 14 | |
| 15 | 2021 | 14 | |
| 16 | 2019 | 13 | |
| 17 | 2016 | 13 | |
| 18 | 2018 | 13 | |
| 19 | 2018 | 11 | |
| 20 | 2011 | 8 |
About Jun Song
Jun Song is a scholar working on Biomedical Engineering, Oceanography, Surgery, Molecular Biology and Genetics, having authored 35 papers that have together received 951 indexed citations. Recurring topics across this work include Underwater Acoustics Research (4 papers), Cell Image Analysis Techniques (3 papers), Mesenchymal stem cell research (3 papers), Oceanographic and Atmospheric Processes (3 papers), Neuroscience and Neural Engineering (2 papers), Bone Tissue Engineering Materials (2 papers), Advanced Chemical Sensor Technologies (2 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Genetics (158 citations), Automotive Engineering (115 citations), Surgery (301 citations), Cellular and Molecular Neuroscience (86 citations) and Endocrine and Autonomic Systems (31 citations). Jun Song has collaborated with scholars based in China, South Korea and United Kingdom. Frequent co-authors include Lei Sun, Weikai Hou, Li Chen, Qian Tang, Rossitza Setchi, Shuai Ma, Qixiang Feng, Yu Sun, Ying Liu and Daniel S. Engstrøm. Their work appears in journals such as The Journal of the Acoustical Society of America, Scientific Reports, Cell Reports, IEEE Access and Acta Biomaterialia.
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.