Kai Shi
- Plant Science top 0.05%
- Plant Stress Responses and Tolerance 82
- Plant Molecular Biology Research 47
- Plant-Microbe Interactions and Immunity 38
- Plant responses to elevated CO2 32
- Plant Parasitism and Resistance 30
- Light effects on plants 22
- Plant responses to water stress 14
- Horticulture top 2%
- Molecular Biology top 1%
- Photosynthetic Processes and Mechanisms 49
- Biochemistry top 2%
Kai Shi
221 papers receiving 12.8k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Plant Science 11.3k
- Horticulture 69
- Molecular Biology 4.9k
- Biochemistry 292
- Endocrine and Autonomic Systems 321
Countries citing papers authored by Kai Shi
This map shows the geographic impact of Kai Shi'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 Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Shi more than expected).
Fields of papers citing papers by Kai Shi
This network shows the impact of papers produced by Kai Shi. 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 Shi. The network helps show where Kai Shi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kai Shi, 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 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 5 | |
| 5 | 2024 | 6 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 10 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 7 | |
| 10 | 2023 | 13 | |
| 11 | 2022 | 1 | |
| 12 | 2021 | 50 | |
| 13 | 2020 | 30 | |
| 14 | 2020 | 20 | |
| 15 | 2019 | 24 | |
| 16 | 2019 | 3 | |
| 17 | Isolation and Proteomic Analysis of Rhoptry-Enriched Fractions from Cryptosporidium parvum | 2015 | 3 |
| 18 | Alleviation of autotoxin-induced growth inhibition and respiration by sucrose in Cucumis sativus (L.). | 2010 | 7 |
| 19 | STUDYING OF FALLURE AND FATIGUE LIFE OF COILED TUBING | 2008 | 1 |
| 20 | Construction of a Cucumber cDNA Microarray and Its Application in the Study of Response of Cucumber Plants to Magnesium Deficiency Stress | 2006 | 1 |
About Kai Shi
Kai Shi is a scholar working on Plant Science, Molecular Biology, Agronomy and Crop Science, Aging and Insect Science, having authored 227 papers that have together received 13.0k indexed citations. Recurring topics across this work include Plant Stress Responses and Tolerance (82 papers), Photosynthetic Processes and Mechanisms (49 papers), Plant Molecular Biology Research (47 papers), Plant-Microbe Interactions and Immunity (38 papers), Plant responses to elevated CO2 (32 papers), Plant Parasitism and Resistance (30 papers), Light effects on plants (22 papers) and Plant responses to water stress (14 papers). The work is most often cited by research in Plant Science (11.3k citations), Horticulture (69 citations), Molecular Biology (4.9k citations), Biochemistry (292 citations) and Endocrine and Autonomic Systems (321 citations). Kai Shi has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Jingquan Yu, Yanhong Zhou, Xiaojian Xia, Jie Zhou, Zhixiang Chen, Golam Jalal Ahammed, Christine H. Foyer, Tadao Asami, Weihua Mao and Baofang Fan. Their work appears in journals such as PLANT PHYSIOLOGY, Journal of Experimental Botany, Frontiers in Plant Science, Plant Cell & Environment and New Phytologist.
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.