Junbin Song
Impact in
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- Immune cells in cancer
- Immune Response and Inflammation
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- Epigenetics and DNA Methylation
- Plant-derived Lignans Synthesis and Bioactivity
- Ubiquitin and proteasome pathways
- Genomics, phytochemicals, and oxidative stress
Papers in
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- Epigenetics and DNA Methylation 2
- Pluripotent Stem Cells Research 1
- Ubiquitin and proteasome pathways 1
- Bacterial biofilms and quorum sensing 1
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- Immune cells in cancer 2
- Immune Response and Inflammation 2
- Co-authors
- Pu Wang (2 shared papers)Dan Ye (2 shared papers)Young‐Seuk Bae (2 shared papers)Kun‐Liang Guan (1 shared paper)Zhao Zhang (1 shared paper)Yiping Sun (1 shared paper)Yue Xiong (1 shared paper)Bengang Zhang (1 shared paper)
- Journals
- Cell Reports (2 papers)Journal of Clinical Investigation (1 paper)Cell Metabolism (1 paper)Phytomedicine (1 paper)International Journal of Molecular Sciences (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Junbin Song
10 papers receiving 506 citations
Peers
Comparison fields: 5 of 65
- Immunology 143
- Molecular Biology 223
- Complementary and alternative medicine 33
- Cancer Research 24
- Oncology 34
Countries citing papers authored by Junbin Song
This map shows the geographic impact of Junbin 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 Junbin Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junbin Song more than expected).
Fields of papers citing papers by Junbin Song
This network shows the impact of papers produced by Junbin 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 Junbin Song. The network helps show where Junbin Song may publish in the future.
Co-authors
The 22 scholars most cited alongside Junbin 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
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 178 | |
| 2 | 2018 | 80 | |
| 3 | 2013 | 64 | |
| 4 | 2023 | 63 | |
| 5 | 2020 | 44 | |
| 6 | 2020 | 27 | |
| 7 | 2021 | 21 | |
| 8 | 2020 | 16 | |
| 9 | 2018 | 10 | |
| 10 | 2025 | 6 |
About Junbin Song
Junbin Song is a scholar working on Molecular Biology, Immunology, Physiology, Complementary and alternative medicine and Physiology, having authored 10 papers that have together received 509 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (2 papers), Immune cells in cancer (2 papers), Immune Response and Inflammation (2 papers), Pluripotent Stem Cells Research (1 paper), Ubiquitin and proteasome pathways (1 paper), Telomeres, Telomerase, and Senescence (1 paper), Bacterial biofilms and quorum sensing (1 paper) and Traditional Chinese Medicine Analysis (1 paper). The work is most often cited by research in Immunology (143 citations), Molecular Biology (223 citations), Complementary and alternative medicine (33 citations), Cancer Research (24 citations) and Oncology (34 citations). Junbin Song has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Pu Wang, Dan Ye, Young‐Seuk Bae, Kun‐Liang Guan, Zhao Zhang, Yiping Sun, Yue Xiong, Bengang Zhang, Jin Zhang and Yaodong Qi. Their work appears in journals such as Cell Reports, Journal of Clinical Investigation, Cell Metabolism, Phytomedicine and International Journal of Molecular 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.