Kai Shi

17.8k total citations · 5 hit papers
227 papers, 13.0k citations indexed

About

Kai Shi is a scholar working on Plant Science, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, Kai Shi has authored 227 papers receiving a total of 13.0k indexed citations (citations by other indexed papers that have themselves been cited), including 178 papers in Plant Science, 93 papers in Molecular Biology and 12 papers in Agronomy and Crop Science. Recurrent topics in Kai Shi's work include Plant Stress Responses and Tolerance (82 papers), Photosynthetic Processes and Mechanisms (49 papers) and Plant Molecular Biology Research (47 papers). Kai Shi is often cited by papers focused on Plant Stress Responses and Tolerance (82 papers), Photosynthetic Processes and Mechanisms (49 papers) and Plant Molecular Biology Research (47 papers). Kai Shi collaborates with scholars based in China, United Kingdom and United States. Kai Shi's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Kai Shi

221 papers receiving 12.8k citations

Hit Papers

Functional Analysis of the Arabidopsis PAL Gene Family in... 2009 2026 2014 2020 2010 2009 2015 2015 2024 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kai Shi China 66 11.3k 4.9k 456 453 441 227 13.0k
Jingquan Yu China 73 15.1k 1.3× 6.6k 1.3× 741 1.6× 545 1.2× 546 1.2× 250 17.1k
Xiaojian Xia China 57 8.4k 0.7× 3.5k 0.7× 444 1.0× 320 0.7× 341 0.8× 153 9.5k
Chengcai Chu China 80 16.7k 1.5× 7.4k 1.5× 290 0.6× 315 0.7× 530 1.2× 248 19.1k
Golam Jalal Ahammed China 62 9.3k 0.8× 3.0k 0.6× 957 2.1× 278 0.6× 347 0.8× 215 11.5k
Rosa M. Rivero Spain 46 8.2k 0.7× 2.9k 0.6× 218 0.5× 228 0.5× 408 0.9× 109 10.3k
José Antonio Hernández Spain 49 9.2k 0.8× 3.3k 0.7× 261 0.6× 250 0.6× 397 0.9× 149 10.7k
Jun Li China 44 7.5k 0.7× 5.9k 1.2× 274 0.6× 320 0.7× 493 1.1× 287 11.7k
Yoshiyuki Murata Japan 63 11.0k 1.0× 5.0k 1.0× 224 0.5× 422 0.9× 312 0.7× 284 14.1k
Dae‐Jin Yun South Korea 74 12.3k 1.1× 10.0k 2.0× 200 0.4× 443 1.0× 377 0.9× 265 16.4k
Dominique Van Der Straeten Belgium 74 13.0k 1.2× 6.9k 1.4× 162 0.4× 263 0.6× 525 1.2× 272 15.8k

Countries citing papers authored by Kai Shi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Kai Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Shi. A scholar is included among the top collaborators of Kai Shi 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 Kai Shi. Kai Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Shi, Kai, Yanni Sun, De‐Hui Zeng, et al.. (2025). Oxidative enzymes underlie tree species effects on soil organic carbon stocks: A common garden test with eight tree species. Soil Biology and Biochemistry. 202. 109715–109715. 2 indexed citations
3.
He, Xiaoqin, et al.. (2025). Contribution of dopaminergic polymorphisms to levodopa treatment response and drug concentration in Chinese patients with Parkinson’s disease. Clinical Parkinsonism & Related Disorders. 12. 100333–100333. 1 indexed citations
4.
Thomas, Hannah Rae, Xiaojian Xia, Kai Shi, et al.. (2025). An integrative overview of cold response and regulatory pathways in horticultural crops. Journal of Integrative Plant Biology. 67(4). 1028–1059. 5 indexed citations
5.
Zhang, Guangming, Yirui Li, Kai Shi, et al.. (2024). High resolution conformal additive manufacturing based on electric-field-driven jet 3-axis micro-3D printing. Journal of Manufacturing Processes. 127. 35–42. 6 indexed citations
6.
Zhang, Huifang M., et al.. (2024). Coxsackievirus B3-Induced m6A Modification of RNA Enhances Viral Replication via Suppression of YTHDF-Mediated Stress Granule Formation. Microorganisms. 12(11). 2152–2152. 1 indexed citations
7.
Hu, Zhangjian, Chaoyi Hu, Jie Zhou, et al.. (2024). SlCPK27 cross-links SlHY5 and SlPIF4 in brassinosteroid-dependent photo- and thermo-morphogenesis in tomato. Proceedings of the National Academy of Sciences. 121(36). e2403040121–e2403040121. 10 indexed citations
8.
Liang, Wei, et al.. (2024). Risk assessment and automatic identification of autistic children based on appearance. Scientific Reports. 14(1). 29074–29074.
9.
Ding, Shuting, Shuxian Feng, Zhiyun Zhao, et al.. (2024). A novel LRR receptor-like kinase BRAK reciprocally phosphorylates PSKR1 to enhance growth and defense in tomato. The EMBO Journal. 43(23). 6104–6123. 7 indexed citations
10.
Li, Pengfei, Kai Shi, Guangming Zhang, et al.. (2023). Flexible, long cycle-life micro-supercapacitor with polypyrrole@Ag-wall interdigitated electrodes fabricated by micro-3D printing and electrochemical polymerization. Journal of Manufacturing Processes. 94. 338–347. 13 indexed citations
11.
Shi, Kai, et al.. (2022). Table of Contents. v–vi. 1 indexed citations
12.
Guo, Zhixin, Jin Xu, Yu Wang, et al.. (2021). The phyB‐dependent induction of HY5 promotes iron uptake by systemically activating FER expression. EMBO Reports. 22(7). e51944–e51944. 50 indexed citations
13.
Mainiero, Samantha, Jing Zhang, Ari Feder, et al.. (2020). Ptr1 evolved convergently with RPS2 and Mr5 to mediate recognition of AvrRpt2 in diverse solanaceous species. The Plant Journal. 103(4). 1433–1445. 30 indexed citations
14.
Chen, Guopeng, Hong Chen, Kai Shi, et al.. (2020). Heterogeneous Light Conditions Reduce the Assimilate Translocation Towards Maize Ears. Plants. 9(8). 987–987. 20 indexed citations
15.
Roberts, R. H., Samantha Mainiero, Adrian F. Powell, et al.. (2019). Natural variation for unusual host responses and flagellin‐mediated immunity against Pseudomonas syringae in genetically diverse tomato accessions. New Phytologist. 223(1). 447–461. 24 indexed citations
16.
Shi, Kai, et al.. (2019). Effects of digested pig slurry application on agronomic trait, yield and forage quality of indica rice. SHILAP Revista de lepidopterología. 45(3). 325–331. 3 indexed citations
17.
Mi, Rongsheng, Wei Cao, Peng Zhou, et al.. (2015). Isolation and Proteomic Analysis of Rhoptry-Enriched Fractions from Cryptosporidium parvum. SHILAP Revista de lepidopterología. 3 indexed citations
18.
Zhang, Yun, et al.. (2010). Alleviation of autotoxin-induced growth inhibition and respiration by sucrose in Cucumis sativus (L.).. Allelopathy Journal. 25(1). 147–154. 7 indexed citations
19.
Shi, Kai. (2008). STUDYING OF FALLURE AND FATIGUE LIFE OF COILED TUBING. 1 indexed citations
20.
Xia, Xiaojian, et al.. (2006). Construction of a Cucumber cDNA Microarray and Its Application in the Study of Response of Cucumber Plants to Magnesium Deficiency Stress. Acta Horticulturae Sinica. 33(4). 767. 1 indexed citations

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.

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