LI Liang-cai
- Plant Science top 5%
- Molecular Biology
- Biotechnology top 5%
- Genetics
- Cell Biology
- Co-authors
- Roger N. BeachyRongda QuAlexandre de KochkoClaude FauquetLiya PiYongsheng WangPranjib K. ChakrabartyWen‐Yuan Song
- Topics
- Plant tissue culture and regeneration (8 papers)Transgenic Plants and Applications (5 papers)Chromosomal and Genetic Variations (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
LI Liang-cai
17 papers receiving 498 citations
Peers
Comparison fields: 5 of 55
- Plant Science 415
- Molecular Biology 310
- Biotechnology 112
- Genetics 27
- Cell Biology 20
Countries citing papers authored by LI Liang-cai
This map shows the geographic impact of LI Liang-cai'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 LI Liang-cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites LI Liang-cai more than expected).
Fields of papers citing papers by LI Liang-cai
This network shows the impact of papers produced by LI Liang-cai. 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 LI Liang-cai. The network helps show where LI Liang-cai may publish in the future.
Co-authorship network of co-authors of LI Liang-cai
This figure shows the co-authorship network connecting the top 25 collaborators of LI Liang-cai. A scholar is included among the top collaborators of LI Liang-cai 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 LI Liang-cai. LI Liang-cai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 17 | |
| 3 | 1 | |
| 4 | Vegetation dynamic monitoring in mining area based on NDVI serial images and dimidiate pixel model | 6 |
| 5 | 232 | |
| 6 | 21 | |
| 7 | Rice Transformation with a Phytoalexin Gene and Bioassay of the Transgenic Plants | 7 |
| 8 | 2 | |
| 9 | 8 | |
| 10 | Multiple Gene Transformation of Rice Using the Biolistic Method | 3 |
| 11 | 13 | |
| 12 | Microdissection and Recovery of 1R Chromosome in Rye ( Secale cereale ) | 3 |
| 13 | Isolation of single chromosomes and chromosomal fragments of Lilium regale | 7 |
| 14 | Genetic transformation of indica rice using the biolistic method | 2 |
| 15 | 25 | |
| 16 | 163 | |
| 17 | 14 |
About LI Liang-cai
LI Liang-cai is a scholar working on Biotechnology, Plant Science and Molecular Biology, having authored 17 papers that have together received 529 indexed citations. Recurring topics across this work include Plant tissue culture and regeneration (8 papers), Transgenic Plants and Applications (5 papers) and Chromosomal and Genetic Variations (2 papers). The work is most often cited by research in Biotechnology (112 citations), Plant Science (415 citations) and Horticulture (5 citations). LI Liang-cai has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Roger N. Beachy, Rongda Qu, Alexandre de Kochko, Claude Fauquet, Liya Pi, Yongsheng Wang, Pranjib K. Chakrabarty, Wen‐Yuan Song, Xiuhua Chen and James H. Oard. Their work appears in journals such as The Plant Cell, Plant Cell Reports and Journal of Integrative Plant Biology.
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.