Kehai Zhou

1.3k total citations · 1 hit paper
17 papers, 892 citations indexed

About

Kehai Zhou is a scholar working on Plant Science, Molecular Biology and Endocrinology. According to data from OpenAlex, Kehai Zhou has authored 17 papers receiving a total of 892 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 7 papers in Molecular Biology and 3 papers in Endocrinology. Recurrent topics in Kehai Zhou's work include Research in Cotton Cultivation (8 papers), Plant and Fungal Interactions Research (3 papers) and Plant Virus Research Studies (3 papers). Kehai Zhou is often cited by papers focused on Research in Cotton Cultivation (8 papers), Plant and Fungal Interactions Research (3 papers) and Plant Virus Research Studies (3 papers). Kehai Zhou collaborates with scholars based in China. Kehai Zhou's co-authors include Wenqiang Qin, Wenbing Han, Changfeng Li, Xiaoming Yan, Fuguang Li, Xiongfeng Ma, Zuoren Yang, Daigang Yang, Xiaojian Zhou and Xiaoyu Pei and has published in prestigious journals such as Journal of Experimental Botany, Molecules and Frontiers in Plant Science.

In The Last Decade

Kehai Zhou

17 papers receiving 880 citations

Hit Papers

A Review on Heavy Metals Contamination in Soil: Effects, ... 2019 2026 2021 2023 2019 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kehai Zhou China 11 363 343 241 143 90 17 892
Wenqiang Qin China 15 804 2.2× 321 0.9× 487 2.0× 140 1.0× 90 1.0× 29 1.3k
Renu Shukla India 13 403 1.1× 389 1.1× 236 1.0× 301 2.1× 170 1.9× 27 1.3k
Xuanzhen Li China 22 537 1.5× 623 1.8× 148 0.6× 312 2.2× 81 0.9× 53 1.2k
Ewa Hanus-Fajerska Poland 19 738 2.0× 442 1.3× 204 0.8× 117 0.8× 66 0.7× 62 1.2k
Anna Manara Italy 11 577 1.6× 455 1.3× 137 0.6× 127 0.9× 43 0.5× 13 1.0k
Jáchym Šuman Czechia 13 332 0.9× 333 1.0× 165 0.7× 101 0.7× 43 0.5× 28 800
Zhiqin Chen China 19 729 2.0× 407 1.2× 103 0.4× 118 0.8× 72 0.8× 44 1.2k
Michael Dare Asemoloye Nigeria 16 401 1.1× 362 1.1× 111 0.5× 133 0.9× 43 0.5× 37 836
Jean Kallerhoff France 20 591 1.6× 532 1.6× 165 0.7× 135 0.9× 56 0.6× 35 1.0k
Mazhar Rafique Pakistan 17 824 2.3× 329 1.0× 145 0.6× 142 1.0× 68 0.8× 44 1.3k

Countries citing papers authored by Kehai Zhou

Since Specialization
Citations

This map shows the geographic impact of Kehai Zhou'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 Kehai Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kehai Zhou more than expected).

Fields of papers citing papers by Kehai Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kehai Zhou. 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 Kehai Zhou. The network helps show where Kehai Zhou may publish in the future.

Co-authorship network of co-authors of Kehai Zhou

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

All Works

17 of 17 papers shown
1.
Zhou, Hao, Kehai Zhou, Gang Zhao, et al.. (2023). Physiological and Biochemical Properties of Cotton Seedlings in Response to Cu2+ Stress. Current Issues in Molecular Biology. 45(5). 4050–4062. 3 indexed citations
2.
Liu, Kun, Zhenzhen Wei, Jian Wang, et al.. (2022). Genome-wide identification and expression profile ofGhGRFgene family inGossypium hirsutum L.. PeerJ. 10. e13372–e13372. 4 indexed citations
3.
Zhou, Kehai, et al.. (2022). Effects of Extraction Technique on the Content and Antioxidant Activity of Flavonoids from Gossypium Hirsutum linn. Flowers. Molecules. 27(17). 5627–5627. 11 indexed citations
4.
Zhang, Tingting, Yang Yang, Xiaoyu Song, et al.. (2021). Novel Structural Variation and Evolutionary Characteristics of Chloroplast tRNA in Gossypium Plants. Genes. 12(6). 822–822. 8 indexed citations
5.
Zhang, Tingting, Wei Li, Xiaojian Zhou, et al.. (2020). Genetic structure, gene flow pattern, and association analysis of superior germplasm resources in domesticated upland cotton (Gossypium hirsutum L.). Plant Diversity. 42(3). 189–197. 11 indexed citations
6.
Li, Changfeng, Cangsong Zheng, Kehai Zhou, et al.. (2020). Toleration and Accumulation of Cotton to Heavy Metal - Potential Use for Phytoremediation. Soil and Sediment Contamination An International Journal. 29(5). 516–531. 8 indexed citations
7.
Li, Zhi, Lei Li, Kehai Zhou, et al.. (2019). GhWRKY6 Acts as a Negative Regulator in Both Transgenic Arabidopsis and Cotton During Drought and Salt Stress. Frontiers in Genetics. 10. 392–392. 48 indexed citations
8.
Qanmber, Ghulam, Lili Lu, Zhao Liu, et al.. (2019). Genome-wide identification of GhAAI genes reveals that GhAAI66 triggers a phase transition to induce early flowering. Journal of Experimental Botany. 70(18). 4721–4736. 47 indexed citations
9.
Zhou, Kehai, Shaoling Zhang, Yilin Shu, et al.. (2019). Effects of dispersal barriers and geographic distance on the genetic structure of a narrowly distributed frog in a spatially structured landscape. Journal of Zoology. 309(4). 295–309. 4 indexed citations
10.
Li, Changfeng, et al.. (2019). A Review on Heavy Metals Contamination in Soil: Effects, Sources, and Remediation Techniques. Soil and Sediment Contamination An International Journal. 28(4). 380–394. 525 indexed citations breakdown →
11.
Wu, Ying, Fang Liu, Daigang Yang, et al.. (2018). Comparative Chloroplast Genomics of Gossypium Species: Insights Into Repeat Sequence Variations and Phylogeny. Frontiers in Plant Science. 9. 376–376. 73 indexed citations
12.
Ma, Xiongfeng, Zhenyu Wang, Wei Li, et al.. (2018). Resequencing core accessions of a pedigree identifies derivation of genomic segments and key agronomic trait loci during cotton improvement. Plant Biotechnology Journal. 17(4). 762–775. 25 indexed citations
13.
Xu, Shuangjiao, Kehai Zhou, Dan Fang, & Lei Ma. (2018). Highly Sensitive and Selective Fluorescent Detection of Gossypol Based on BSA-Stabilized Copper Nanoclusters. Molecules. 24(1). 95–95. 23 indexed citations
14.
Ma, Xiongfeng, Cangsong Zheng, Wei Li, et al.. (2017). Potential use of cotton for remediating heavy metal-polluted soils in southern China. Journal of Soils and Sediments. 17(12). 2866–2872. 28 indexed citations
15.
Xu, Zhenzhen, Chaojun Zhang, Xiaoyang Ge, et al.. (2015). Construction of a high-density linkage map and mapping quantitative trait loci for somatic embryogenesis using leaf petioles as explants in upland cotton (Gossypium hirsutum L.). Plant Cell Reports. 34(7). 1177–1187. 7 indexed citations
16.
Chu, Jun, Weifang Li, Cheng Wang, et al.. (2015). Comparative analyses of secreted proteins from the phytopathogenic fungus Verticillium dahliae in response to nitrogen starvation. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1854(5). 437–448. 18 indexed citations
17.
Xu, Zhenzhen, Chaojun Zhang, Xueyan Zhang, et al.. (2013). Transcriptome Profiling Reveals Auxin and Cytokinin Regulating Somatic Embryogenesis in Different Sister Lines of Cotton Cultivar CCRI24. Journal of Integrative Plant Biology. 55(7). 631–642. 49 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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