Kai Chen
Impact in
- Plant Science top 1%
- Rice Cultivation and Yield Improvement
- Plant Stress Responses and Tolerance
- Plant Molecular Biology Research
- GABA and Rice Research
- Plant responses to water stress
- Parasitology top 2%
- Toxoplasma gondii Research Studies
Papers in
-
- Rice Cultivation and Yield Improvement 30
- GABA and Rice Research 19
- Plant Molecular Biology Research 15
- Plant Stress Responses and Tolerance 11
- Plant-Microbe Interactions and Immunity 8
-
- Photosynthetic Processes and Mechanisms 9
- Co-authors
- Jianlong Xu (35 shared papers)Zhikang Li (15 shared papers)Jauhar Ali (7 shared papers)Jin‐Lei Wang (10 shared papers)Xing‐Quan Zhu (10 shared papers)Si‐Yang Huang (9 shared papers)Yunlong Pang (6 shared papers)Yajun Zhu (9 shared papers)
- Journals
- Agronomy (7 papers)Frontiers in Plant Science (6 papers)PLoS ONE (5 papers)Rice (4 papers)BMC Genomics (4 papers)
- Partner nations
- ChinaPhilippinesUnited Kingdom
In The Last Decade
Kai Chen
105 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 109
- Plant Science 1.6k
- Parasitology 264
- Genetics 562
- Virology 51
- Molecular Biology 649
Countries citing papers authored by Kai Chen
This map shows the geographic impact of Kai 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 Kai Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Chen more than expected).
Fields of papers citing papers by Kai Chen
This network shows the impact of papers produced by Kai 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 Kai Chen. The network helps show where Kai Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Chen, 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 117 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 93 | |
| 2 | 2018 | 89 | |
| 3 | 2015 | 84 | |
| 4 | 2017 | 78 | |
| 5 | 2017 | 68 | |
| 6 | 2019 | 68 | |
| 7 | 2020 | 65 | |
| 8 | 2017 | 64 | |
| 9 | 2017 | 61 | |
| 10 | 2021 | 55 | |
| 11 | 2017 | 54 | |
| 12 | 1997 | 51 | |
| 13 | 2017 | 49 | |
| 14 | 2013 | 46 | |
| 15 | 2020 | 43 | |
| 16 | 2011 | 41 | |
| 17 | 2019 | 41 | |
| 18 | 2018 | 40 | |
| 19 | 2021 | 38 | |
| 20 | 2016 | 36 |
About Kai Chen
Kai Chen is a scholar working on Plant Science, Molecular Biology, Genetics, Parasitology and Epidemiology, having authored 117 papers that have together received 2.3k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (31 papers), Rice Cultivation and Yield Improvement (30 papers), GABA and Rice Research (19 papers), Plant Molecular Biology Research (15 papers), Plant Stress Responses and Tolerance (11 papers), Toxoplasma gondii Research Studies (11 papers), Photosynthetic Processes and Mechanisms (9 papers) and Plant-Microbe Interactions and Immunity (8 papers). The work is most often cited by research in Plant Science (1.6k citations), Parasitology (264 citations), Genetics (562 citations), Virology (51 citations) and Molecular Biology (649 citations). Kai Chen has collaborated with scholars based in China, Philippines and United Kingdom. Frequent co-authors include Jianlong Xu, Zhikang Li, Jauhar Ali, Jin‐Lei Wang, Xing‐Quan Zhu, Si‐Yang Huang, Yunlong Pang, Yajun Zhu, Congcong Shen and Xiaoqian Wang. Their work appears in journals such as Agronomy, Frontiers in Plant Science, PLoS ONE, Rice and BMC Genomics.
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.