Huifeng Ke

1.6k total citations
30 papers, 547 citations indexed

About

Huifeng Ke is a scholar working on Plant Science, Molecular Biology and Endocrinology. According to data from OpenAlex, Huifeng Ke has authored 30 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Plant Science, 12 papers in Molecular Biology and 4 papers in Endocrinology. Recurrent topics in Huifeng Ke's work include Research in Cotton Cultivation (23 papers), Plant Molecular Biology Research (8 papers) and Plant Gene Expression Analysis (4 papers). Huifeng Ke is often cited by papers focused on Research in Cotton Cultivation (23 papers), Plant Molecular Biology Research (8 papers) and Plant Gene Expression Analysis (4 papers). Huifeng Ke collaborates with scholars based in China, Indonesia and United States. Huifeng Ke's co-authors include Zhiying Ma, Liqiang Wu, Xingfen Wang, Zhengwen Sun, Guiyin Zhang, Jun Yang, Zhikun Li, Yan Zhang, Zhengwen Liu and Jinhua Wu and has published in prestigious journals such as The Plant Journal, International Journal of Molecular Sciences and Gene.

In The Last Decade

Huifeng Ke

28 papers receiving 537 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huifeng Ke China 13 501 146 68 37 20 30 547
Caixiang Wang China 13 475 0.9× 118 0.8× 98 1.4× 67 1.8× 18 0.9× 32 562
Chunyuan You China 10 506 1.0× 97 0.7× 107 1.6× 65 1.8× 7 0.3× 24 529
Yurong Jiang China 11 284 0.6× 106 0.7× 34 0.5× 22 0.6× 6 0.3× 27 317
Yunlei Zhao China 11 339 0.7× 101 0.7× 79 1.2× 30 0.8× 10 0.5× 25 371
Xiaoyu Pei China 11 288 0.6× 132 0.9× 38 0.6× 24 0.6× 5 0.3× 21 342
Michael Gonzales United States 5 371 0.7× 146 1.0× 19 0.3× 23 0.6× 3 0.1× 6 409
Lúcia Vieira Hoffmann Brazil 10 192 0.4× 31 0.2× 67 1.0× 20 0.5× 29 1.4× 41 257
Rajdeep Jaswal India 11 434 0.9× 191 1.3× 23 0.3× 30 0.8× 10 0.5× 20 486
Guo‐Bang Li China 12 542 1.1× 239 1.6× 33 0.5× 29 0.8× 14 0.7× 17 624
Mélanie Jubault France 12 501 1.0× 145 1.0× 61 0.9× 11 0.3× 12 0.6× 14 526

Countries citing papers authored by Huifeng Ke

Since Specialization
Citations

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

Fields of papers citing papers by Huifeng Ke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huifeng Ke

This figure shows the co-authorship network connecting the top 25 collaborators of Huifeng Ke. A scholar is included among the top collaborators of Huifeng Ke 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 Huifeng Ke. Huifeng Ke 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.
2.
Sun, Zhengwen, Qingming Ma, Xingyi Wang, et al.. (2025). The speed breeding technology of five generations per year in cotton. Theoretical and Applied Genetics. 138(4). 79–79. 3 indexed citations
3.
Gu, Qishen, Xing Lv, Dongmei Zhang, et al.. (2024). Deepening genomic sequences of 1081 Gossypium hirsutum accessions reveals novel SNPs and haplotypes relevant for practical breeding utility. Genomics. 116(4). 110848–110848. 1 indexed citations
4.
Zhang, Zhen, Xingyi Wang, Dongmei Zhang, et al.. (2024). Molecular markers and candidate genes of plant height traits in upland cotton identified by single‐locus and multi‐locus genome‐wide association study. Crop Science. 64(3). 1743–1755. 1 indexed citations
5.
Liu, Zhengwen, Zhengwen Sun, Huifeng Ke, et al.. (2023). Transcriptome, Ectopic Expression and Genetic Population Analysis Identify Candidate Genes for Fiber Quality Improvement in Cotton. International Journal of Molecular Sciences. 24(9). 8293–8293. 8 indexed citations
6.
Yang, Jun, Haonan Chen, Zhengwen Sun, et al.. (2023). Genome-wide association study reveals novel SNPs and genes in Gossypium hirsutum underlying Aphis gossypii resistance. Theoretical and Applied Genetics. 136(8). 171–171. 4 indexed citations
7.
Wang, Zhicheng, Jin Zhang, Dongmei Zhang, et al.. (2023). Lysine 2‐Hydroxyisobutyrylation‐ and Succinylation‐Based Pathways Act Inside Chloroplasts to Modulate Plant Photosynthesis and Immunity. Advanced Science. 10(27). e2301803–e2301803. 17 indexed citations
8.
Ke, Huifeng, Xiaoyu Li, Xu Yang, et al.. (2023). Detection of epistasis interaction loci for fiber quality-related trait via 3VmrMLM in upland cotton. Frontiers in Plant Science. 14. 1250161–1250161. 4 indexed citations
9.
Zhao, Li, Zhen Zhang, Yinbo Liu, et al.. (2023). Identification and Expression Analysis of EPSPS and BAR Families in Cotton. Plants. 12(19). 3366–3366. 2 indexed citations
10.
Chen, Liting, Yuanyuan Yan, Huifeng Ke, et al.. (2022). SEP-like genes of Gossypium hirsutum promote flowering via targeting different loci in a concentration-dependent manner. Frontiers in Plant Science. 13. 990221–990221. 5 indexed citations
11.
Wu, Nan, Jun Yang, Guoning Wang, et al.. (2022). Novel insights into water-deficit-responsive mRNAs and lncRNAs during fiber development in Gossypium hirsutum. BMC Plant Biology. 22(1). 6–6. 7 indexed citations
12.
Li, Lihua, Zhengwen Sun, Yan Zhang, et al.. (2022). Development and Utilization of Functional Kompetitive Allele-Specific PCR Markers for Key Genes Underpinning Fiber Length and Strength in Gossypium hirsutum L.. Frontiers in Plant Science. 13. 853827–853827. 8 indexed citations
13.
Zhang, Yan, Bin Chen, Zhengwen Sun, et al.. (2021). A large‐scale genomic association analysis identifies a fragment in Dt11 chromosome conferring cotton Verticillium wilt resistance. Plant Biotechnology Journal. 19(10). 2126–2138. 32 indexed citations
14.
Gu, Qishen, Huifeng Ke, Chenchen Liu, et al.. (2021). A stable QTL qSalt-A04-1 contributes to salt tolerance in the cotton seed germination stage. Theoretical and Applied Genetics. 134(8). 2399–2410. 10 indexed citations
15.
Gu, Qishen, Huifeng Ke, Zhengwen Liu, et al.. (2020). A high-density genetic map and multiple environmental tests reveal novel quantitative trait loci and candidate genes for fibre quality and yield in cotton. Theoretical and Applied Genetics. 133(12). 3395–3408. 31 indexed citations
16.
Gu, Qishen, Huifeng Ke, Zhengwen Sun, et al.. (2020). Genetic variation associated with the shoot biomass of upland cotton seedlings under contrasting phosphate supplies. Molecular Breeding. 40(8). 5 indexed citations
17.
Yang, Jun, Guoning Wang, Huifeng Ke, et al.. (2019). Genome-wide identification of cyclophilin genes in Gossypium hirsutum and functional characterization of a CYP with antifungal activity against Verticillium dahliae. BMC Plant Biology. 19(1). 272–272. 13 indexed citations
18.
Sun, Zhengwen, Xingfen Wang, Zhengwen Liu, et al.. (2018). A genome-wide association study uncovers novel genomic regions and candidate genes of yield-related traits in upland cotton. Theoretical and Applied Genetics. 131(11). 2413–2425. 38 indexed citations
19.
Gu, Qishen, Zhikun Li, Yan Zhang, et al.. (2017). Differential Expression Analysis of Bt Protein in New Bt Cotton Lines. Mianhua xuebao. 29(2). 128–137. 1 indexed citations
20.
Yang, Xueju, et al.. (2016). Detection and validation of one stable fiber strength QTL on c9 in tetraploid cotton. Molecular Genetics and Genomics. 291(4). 1625–1638. 18 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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