Ling Kui
Impact in
- Plant Science top 5%
- Chromosomal and Genetic Variations
- Plant-Microbe Interactions and Immunity
- Plant Molecular Biology Research
- Molecular Biology top 10%
- Plant biochemistry and biosynthesis
- Genomics and Phylogenetic Studies
- Microbial Metabolic Engineering and Bioproduction
Papers in
-
- Chromosomal and Genetic Variations 8
- Plant-Microbe Interactions and Immunity 3
-
- Genomics and Phylogenetic Studies 8
- Plant biochemistry and biosynthesis 3
- Plant tissue culture and regeneration 2
- Bioinformatics and Genomic Networks 2
- Co-authors
- Yang Dong (10 shared papers)Min Tang (5 shared papers)Shengchao Yang (5 shared papers)Wei Chen (2 shared papers)Jianhua Miao (3 shared papers)Guanghui Zhang (4 shared papers)Kunhua Wei (2 shared papers)Dawei Li (2 shared papers)
- Journals
- Molecular Plant (4 papers)Frontiers in Microbiology (3 papers)Frontiers in Plant Science (3 papers)Nature Communications (2 papers)GigaScience (2 papers)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Ling Kui
39 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 102
- Plant Science 541
- Molecular Biology 830
- Pharmacology 107
- Ecology, Evolution, Behavior and Systematics 115
- Cancer Research 70
Countries citing papers authored by Ling Kui
This map shows the geographic impact of Ling Kui'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 Ling Kui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Kui more than expected).
Fields of papers citing papers by Ling Kui
This network shows the impact of papers produced by Ling Kui. 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 Ling Kui. The network helps show where Ling Kui may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling Kui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 234 | |
| 2 | 2018 | 193 | |
| 3 | 2020 | 176 | |
| 4 | 2020 | 131 | |
| 5 | 2017 | 113 | |
| 6 | 2017 | 104 | |
| 7 | 2018 | 89 | |
| 8 | 2017 | 64 | |
| 9 | 2020 | 54 | |
| 10 | 2019 | 53 | |
| 11 | 2016 | 51 | |
| 12 | 2019 | 51 | |
| 13 | 2015 | 50 | |
| 14 | 2016 | 48 | |
| 15 | 2022 | 46 | |
| 16 | 2022 | 37 | |
| 17 | 2018 | 29 | |
| 18 | 2021 | 28 | |
| 19 | 2021 | 27 | |
| 20 | 2020 | 21 |
About Ling Kui
Ling Kui is a scholar working on Plant Science, Molecular Biology, Genetics, Cognitive Neuroscience and Oncology, having authored 39 papers that have together received 1.8k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (8 papers), Genomics and Phylogenetic Studies (8 papers), Plant-Microbe Interactions and Immunity (3 papers), Plant biochemistry and biosynthesis (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Cancer Cells and Metastasis (2 papers), Plant tissue culture and regeneration (2 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Plant Science (541 citations), Molecular Biology (830 citations), Pharmacology (107 citations), Ecology, Evolution, Behavior and Systematics (115 citations) and Cancer Research (70 citations). Ling Kui has collaborated with scholars based in China, United States and India. Frequent co-authors include Yang Dong, Min Tang, Shengchao Yang, Wei Chen, Jianhua Miao, Guanghui Zhang, Kunhua Wei, Dawei Li, Wen Wang and Xiaonan Yang. Their work appears in journals such as Molecular Plant, Frontiers in Microbiology, Frontiers in Plant Science, Nature Communications and GigaScience.
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.