Junqi Song
Impact in
- Plant Science top 0.5%
- Plant-Microbe Interactions and Immunity
- Plant Disease Resistance and Genetics
- Chromosomal and Genetic Variations
- Plant Pathogens and Resistance
- Plant Virus Research Studies
- Plant Stress Responses and Tolerance
- Plant Molecular Biology Research
- Legume Nitrogen Fixing Symbiosis
- Molecular Biology top 10%
Papers in
-
- Plant Disease Resistance and Genetics 14
- Plant-Microbe Interactions and Immunity 13
- Chromosomal and Genetic Variations 10
- Plant Virus Research Studies 9
- Plant Pathogens and Resistance 9
- Plant Pathogenic Bacteria Studies 7
- Legume Nitrogen Fixing Symbiosis 4
-
- Plant tissue culture and regeneration 6
- Co-authors
- Jiming JiangXinnian DongZhonglin MouChun WangKarolina M. Pajerowska‐MukhtarJianru ZuoYasuomi TadaSteven H. Spoel
- Journals
- Genome (6 papers)Genetics (5 papers)Proceedings of the National Academy of Sciences (3 papers)Theoretical and Applied Genetics (2 papers)Molecular Plant (2 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Junqi Song
43 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Plant Science 2.6k
- Molecular Biology 1.2k
- Cell Biology 215
- Horticulture 11
- Insect Science 107
Countries citing papers authored by Junqi Song
This map shows the geographic impact of Junqi 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 Junqi Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junqi Song more than expected).
Fields of papers citing papers by Junqi Song
This network shows the impact of papers produced by Junqi 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 Junqi Song. The network helps show where Junqi Song may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Junqi 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 | 2025 | 0 | |
| 2 | 2024 | 9 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 12 | |
| 5 | 2022 | 0 | |
| 6 | 2021 | 9 | |
| 7 | 2021 | 21 | |
| 8 | 2020 | 3 | |
| 9 | 2020 | 1 | |
| 10 | 2020 | 4 | |
| 11 | 2019 | 29 | |
| 12 | 2018 | 13 | |
| 13 | 2017 | 29 | |
| 14 | 2015 | 82 | |
| 15 | 2014 | 86 | |
| 16 | 2013 | 57 | |
| 17 | 2013 | 117 | |
| 18 | 2003 | 432 | |
| 19 | 2003 | 16 | |
| 20 | 2003 | 35 |
About Junqi Song
Junqi Song is a scholar working on Plant Science, Molecular Biology, Water Science and Technology, Cell Biology and Electrochemistry, having authored 46 papers that have together received 3.1k indexed citations. Recurring topics across this work include Plant Disease Resistance and Genetics (14 papers), Plant-Microbe Interactions and Immunity (13 papers), Chromosomal and Genetic Variations (10 papers), Plant Virus Research Studies (9 papers), Plant Pathogens and Resistance (9 papers), Plant Pathogenic Bacteria Studies (7 papers), Plant tissue culture and regeneration (6 papers) and Legume Nitrogen Fixing Symbiosis (4 papers). The work is most often cited by research in Plant Science (2.6k citations), Molecular Biology (1.2k citations), Cell Biology (215 citations), Horticulture (11 citations) and Insect Science (107 citations). Junqi Song has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Jiming Jiang, Xinnian Dong, Zhonglin Mou, Chun Wang, Karolina M. Pajerowska‐Mukhtar, Jianru Zuo, Yasuomi Tada, Steven H. Spoel, Andrew F. Bent and John P. Helgeson. Their work appears in journals such as Genome, Genetics, Proceedings of the National Academy of Sciences, Theoretical and Applied Genetics and Molecular Plant.
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.