Songbiao Chen
- Plant Science top 1%
- Molecular Biology top 5%
- Cell Biology top 5%
- Genetics top 10%
- Biotechnology top 5%
- Co-authors
- Guo‐Liang WangPattavipha SongkumarnJianli LiuMiguel E. Vega‐SánchezLirong ZengYuese NingKenji UmemuraMaria Bellizzi
- Topics
- Plant tissue culture and regeneration (12 papers)Plant-Microbe Interactions and Immunity (10 papers)Transgenic Plants and Applications (8 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Songbiao Chen
51 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Plant Science 1.9k
- Molecular Biology 1.3k
- Cell Biology 302
- Genetics 180
- Biotechnology 122
Countries citing papers authored by Songbiao Chen
This map shows the geographic impact of Songbiao Chen'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 Songbiao Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Songbiao Chen more than expected).
Fields of papers citing papers by Songbiao Chen
This network shows the impact of papers produced by Songbiao Chen. 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 Songbiao Chen. The network helps show where Songbiao Chen may publish in the future.
Co-authorship network of co-authors of Songbiao Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Songbiao Chen. A scholar is included among the top collaborators of Songbiao Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Songbiao Chen. Songbiao Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 12 | |
| 8 | 10 | |
| 9 | 28 | |
| 10 | 25 | |
| 11 | 50 | |
| 12 | 140 | |
| 13 | 376 | |
| 14 | 372 | |
| 15 | Culturing Marker-free Transgenic Plants | 1 |
| 16 | Cre/lox-mediated Marker Gene Excision in Elite Indica Rice Plants Transformed with Genes Conferring Resistance to Lepidopteran Insects | 4 |
| 17 | Generating marker--free transgenic tobacco plants by Agrobacterium--mediated transformation with double T--DNA binary vector | 9 |
| 18 | 18 | |
| 19 | Impact of Copy Number on Transgene Expression In Tobacco | 6 |
| 20 | Influence of Matrix Attachment Regions from Maize on Transgene Expression Level in Tobacco | 3 |
About Songbiao Chen
Songbiao Chen is a scholar working on Biotechnology, Plant Science and Molecular Biology, having authored 53 papers that have together received 2.3k indexed citations. Recurring topics across this work include Plant tissue culture and regeneration (12 papers), Plant-Microbe Interactions and Immunity (10 papers) and Transgenic Plants and Applications (8 papers). The work is most often cited by research in Plant Science (1.9k citations), Horticulture (19 citations) and Molecular Biology (1.3k citations). Songbiao Chen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Guo‐Liang Wang, Pattavipha Songkumarn, Jianli Liu, Miguel E. Vega‐Sánchez, Lirong Zeng, Yuese Ning, Kenji Umemura, Maria Bellizzi, Chan Ho Park and Gautam Shirsekar. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Plant Cell and PLANT PHYSIOLOGY.
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.