Yun Song
- Plant Science top 10%
- Plant Stress Responses and Tolerance 3
- Toxicology top 10%
- Forensic Toxicology and Drug Analysis 4
- Hematology top 10%
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- Immune Cell Function and Interaction 4
- T-cell and B-cell Immunology 4
- Immunotherapy and Immune Responses 3
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- Cannabis and Cannabinoid Research 5
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- Asthma and respiratory diseases 5
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- Chronic Obstructive Pulmonary Disease (COPD) Research 4
- Co-authors
- Yi GuoCuijun ZhangLihong TianLei ZhangJun-Feng ZhaoYafang ZhangLihua ChenN L Esmon
- Cited by
- Plant ScienceToxicologyHematology
- Journals
- Respiratory Research (3 papers)Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics (2 papers)Frontiers in Immunology (2 papers)
- Partner nations
- ChinaSouth KoreaUnited States
In The Last Decade
Yun Song
47 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 105
- Plant Science 328
- Toxicology 29
- Hematology 93
- Immunology 169
- Molecular Biology 549
Countries citing papers authored by Yun Song
This map shows the geographic impact of Yun 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 Yun Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yun Song more than expected).
Fields of papers citing papers by Yun Song
This network shows the impact of papers produced by Yun 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 Yun Song. The network helps show where Yun Song may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yun 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 | 2024 | 3 | |
| 2 | 2024 | 3 | |
| 3 | 2021 | 26 | |
| 4 | 2021 | 4 | |
| 5 | 2021 | 1 | |
| 6 | 2021 | 35 | |
| 7 | 2021 | 1 | |
| 8 | 2020 | 34 | |
| 9 | 2020 | 37 | |
| 10 | 2019 | 25 | |
| 11 | 2016 | 11 | |
| 12 | 2016 | 12 | |
| 13 | 2014 | 21 | |
| 14 | 2014 | 24 | |
| 15 | 2014 | 6 | |
| 16 | 2013 | 26 | |
| 17 | 2011 | 51 | |
| 18 | 2011 | 38 | |
| 19 | 2008 | 25 | |
| 20 | 2007 | 37 |
About Yun Song
Yun Song is a scholar working on Toxicology, Pharmacology, Immunology, Oncology and Physiology, having authored 47 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (5 papers), Asthma and respiratory diseases (5 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers), Forensic Toxicology and Drug Analysis (4 papers), Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (4 papers), Immunotherapy and Immune Responses (3 papers) and Plant Stress Responses and Tolerance (3 papers). The work is most often cited by research in Plant Science (328 citations), Toxicology (29 citations), Hematology (93 citations), Immunology (169 citations) and Molecular Biology (549 citations). Yun Song has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Yi Guo, Cuijun Zhang, Lihong Tian, Lei Zhang, Jun-Feng Zhao, Yafang Zhang, Lihua Chen, N L Esmon, Charles T. Esmon and Byeong Hwa Jeon. Their work appears in journals such as Respiratory Research, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics, Frontiers in Immunology, PLANT PHYSIOLOGY and Theranostics.
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.