Zhaoe Pan

3.8k total citations
70 papers, 1.1k citations indexed

About

Zhaoe Pan is a scholar working on Plant Science, Molecular Biology and Endocrinology. According to data from OpenAlex, Zhaoe Pan has authored 70 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Plant Science, 18 papers in Molecular Biology and 18 papers in Endocrinology. Recurrent topics in Zhaoe Pan's work include Research in Cotton Cultivation (64 papers), Plant Virus Research Studies (21 papers) and Plant Molecular Biology Research (19 papers). Zhaoe Pan is often cited by papers focused on Research in Cotton Cultivation (64 papers), Plant Virus Research Studies (21 papers) and Plant Molecular Biology Research (19 papers). Zhaoe Pan collaborates with scholars based in China, Pakistan and Kenya. Zhaoe Pan's co-authors include Xiongming Du, Shoupu He, Zhen Peng, Wenfang Gong, Yinhua Jia, Junling Sun, Yanli Lu, Xiaoli Geng, Feifei Xu and Gaofei Sun and has published in prestigious journals such as PLoS ONE, Scientific Reports and The Plant Journal.

In The Last Decade

Zhaoe Pan

66 papers receiving 1.1k citations

Peers

Zhaoe Pan

ENDOC

GENET

EEBS

Shoupu He China

Yǒulù Yuán China

Waqas Malik Pakistan

Shuijin Hua China

Daigang Yang China

Ghulam Qanmber China

Hely Häggman Finland

Joy Nyangasi Kirungu China

Caiying Zhang China

Showkat Ahmad Ganie India

Shoupu He China

Zhaoe Pan

1.5k ×1.5

641 ×1.9

169 ×1.5

ENDOC

84 ×1.1

GENET

39 ×1.7

EEBS

Citations per year, relative to Zhaoe Pan Zhaoe Pan (= 1×) peers Shoupu He

Countries citing papers authored by Zhaoe Pan

Since Specialization

Citations

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

Fields of papers citing papers by Zhaoe Pan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhaoe Pan

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

All Works

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20 of 20 papers shown

Qin, Na, Abdul Rehman, Xinli Ma, et al.. (2025). Genome-wide identification of SERKs in four Gossypium species reveals GhBAK1 potentially promotes cotton defoliation. Industrial Crops and Products. 226. 120681–120681.

Zhang, Xiaomeng, Xinquan Tian, Junyu Luo, et al.. (2025). Identification of UDP‐glucosyltransferase involved in the biosynthesis of phloridzin in Gossypium hirsutum. The Plant Journal. 121(3). e17248–e17248.

Chen, Baojun, Hongge Li, Jingjing Wang, et al.. (2024). Pyramiding effects of favorable haplotypes of loci on major fiber yield and quality traits in Upland Cotton (Gossypium hirsutum L.). Industrial Crops and Products. 217. 118805–118805.

Nazir, Mian Faisal, Jingjing Wang, Baojun Chen, et al.. (2024). Multistage temporal transcriptomic atlas unveils major contributor to reproductive phase in upland cotton. Physiologia Plantarum. 176(3). e14382–e14382. 1 indexed citations

Parveen, Abida, Adeel Ahmad, Daowu Hu, et al.. (2024). Genome-wide identification and expression profiling of photosystem II (PsbX) gene family in upland cotton (Gossypium hirsutum L). Journal of Cotton Research. 7(1). 1 indexed citations

Pan, Zhaoe, Yinhua Jia, Shoupu He, et al.. (2023). Silencing of GhORP_A02 enhances drought tolerance in Gossypium hirsutum. BMC Genomics. 24(1). 7–7. 3 indexed citations

Li, Kun, Baojun Chen, Zhaoe Pan, et al.. (2023). Physiological and Transcriptional Analyses Reveal Formation of Memory Under Recurring Drought Stresses in Gossypium Hirsutum. SSRN Electronic Journal. 1 indexed citations

Iqbal, Muhammad Shahid, Salman Alamery, Khurram Shehzad, et al.. (2023). Genome-wide association study reveals novel genes on different chromosomal positions regulating boll weight in upland cotton (Gossypium hirsutum L.). Genetic Resources and Crop Evolution. 71(2). 785–799. 1 indexed citations

Chen, Baojun, Xiaoyang Wang, Xiao Wang, et al.. (2023). Genome-wide analysis of the serine carboxypeptidase-like protein family reveals Ga09G1039 is involved in fiber elongation in cotton. Plant Physiology and Biochemistry. 201. 107759–107759. 5 indexed citations

10.

Iqbal, Muhammad Shahid, Zareen Sarfraz, Mian Faisal Nazir, et al.. (2022). Genotype × Environment Interaction Analysis for Yield Stability of Hybrid Cotton Across Production Environments Through Multiple Biometrical Tools. Journal of Natural Fibers. 19(17). 15310–15326. 3 indexed citations

11.

Hu, Daowu, Shoupu He, Gaofei Sun, et al.. (2022). A genome-wide association study of lateral root number for Asian cotton (Gossypium arboreum L.). Journal of Cotton Research. 5(1). 2 indexed citations

12.

Chen, Baojun, Junjie Zhao, Zhaoe Pan, et al.. (2021). Identification and expression analysis of Tubulin gene family in upland cotton. Journal of Cotton Research. 4(1). 11 indexed citations

13.

Li, Hongge, Zhaoe Pan, Shoupu He, et al.. (2021). QTL mapping of agronomic and economic traits for four F2 populations of upland cotton. Journal of Cotton Research. 4(1). 9 indexed citations

14.

Hu, Daowu, Adeel Ahmad, Hongge Li, et al.. (2021). Correlation analysis of stem hardness traits with fiber and yield-related traits in core collections of Gossypium hirsutum. Journal of Cotton Research. 4(1). 4 indexed citations

15.

Nazir, Mian Faisal, Shoupu He, Zareen Sarfraz, et al.. (2021). Genomic insight into the divergence and adaptive potential of a forgotten landrace G. hirsutum L. purpurascens. Journal of genetics and genomics. 48(6). 473–484. 20 indexed citations

16.

Chen, Baojun, Yaru Sun, Zhaoe Pan, et al.. (2021). GhGASA10–1 promotes the cell elongation in fiber development through the phytohormones IAA-induced. BMC Plant Biology. 21(1). 448–448. 17 indexed citations

17.

Rehman, Abdul, Rana Muhammad Atif, Muhammad Tehseen Azhar, et al.. (2021). Genome wide identification, classification and functional characterization of heat shock transcription factors in cultivated and ancestral cottons (Gossypium spp.). International Journal of Biological Macromolecules. 182. 1507–1527. 18 indexed citations

18.

Nazir, Mian Faisal, Yinhua Jia, Shoupu He, et al.. (2020). Genomic Insight into Differentiation and Selection Sweeps in the Improvement of Upland Cotton. Plants. 9(6). 711–711. 19 indexed citations

19.

Peng, Zhen, Shoupu He, Junling Sun, et al.. (2016). Na+ compartmentalization related to salinity stress tolerance in upland cotton (Gossypium hirsutum) seedlings. Scientific Reports. 6(1). 34548–34548. 85 indexed citations

20.

Gong, Wenfang, Shoupu He, Junling Sun, et al.. (2014). Comparison of the Transcriptome between Two Cotton Lines of Different Fiber Color and Quality. PLoS ONE. 9(11). e112966–e112966. 25 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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