Zhenyuan Pan

502 total citations
31 papers, 326 citations indexed

About

Zhenyuan Pan is a scholar working on Plant Science, Molecular Biology and Endocrinology. According to data from OpenAlex, Zhenyuan Pan has authored 31 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Plant Science, 13 papers in Molecular Biology and 5 papers in Endocrinology. Recurrent topics in Zhenyuan Pan's work include Research in Cotton Cultivation (13 papers), Photosynthetic Processes and Mechanisms (6 papers) and Plant and Fungal Interactions Research (5 papers). Zhenyuan Pan is often cited by papers focused on Research in Cotton Cultivation (13 papers), Photosynthetic Processes and Mechanisms (6 papers) and Plant and Fungal Interactions Research (5 papers). Zhenyuan Pan collaborates with scholars based in China, Indonesia and Egypt. Zhenyuan Pan's co-authors include Fazhan Qiu, Hailiang Zhao, Xinhui Nie, Zengdong Tan, Zuxin Zhang, Putri Widyanti Harlina, Elsayed Nishawy, Junli Zhao, Kun Liang and Li Jiang and has published in prestigious journals such as PLANT PHYSIOLOGY, Journal of Experimental Botany and Frontiers in Plant Science.

In The Last Decade

Zhenyuan Pan

29 papers receiving 317 citations

Peers

Zhenyuan Pan

GENET

ACS

ECOLO

Fandi Ai China

Kohei Mishina Japan

Toto Hadiarto Indonesia

Huini Tang China

Weidong Wang United States

Hong Di China

Tingxiang Qi China

Yuhua He China

Pauline Lasserre‐Zuber France

Jirong Wu China

Fandi Ai China

Zhenyuan Pan

191 ×0.7

200 ×1.3

41 ×0.7

GENET

11 ×0.5

ACS

8 ×0.7

ECOLO

Citations per year, relative to Zhenyuan Pan Zhenyuan Pan (= 1×) peers Fandi Ai

Countries citing papers authored by Zhenyuan Pan

Since Specialization

Citations

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

Fields of papers citing papers by Zhenyuan Pan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenyuan Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenyuan Pan. A scholar is included among the top collaborators of Zhenyuan 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 Zhenyuan Pan. Zhenyuan 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, Yao, et al.. (2025). Overexpression of ZmKRN8 elite allele enhances kernel row number and kernel yield in maize. Plant Biotechnology Journal. 23(11). 4709–4711. 1 indexed citations

Tang, Xi, et al.. (2025). Tinea capitis in Hainan: a prospective study. Frontiers in Cellular and Infection Microbiology. 15. 1590315–1590315.

Pan, Zhenyuan, Xiaofeng Zhou, Runze Wang, et al.. (2024). Genome-wide association screening and verification of potential genes associated with defoliation rate induced by defoliant in upland cotton. Industrial Crops and Products. 217. 118712–118712.

Liu, Jinshan, Xiaoyan Liu, Chunyuan You, et al.. (2024). Morphological and cytological assessments reveal pollen degradation causes pollen abortion in cotton cytoplasmic male sterility lines. Journal of Cotton Research. 7(1). 1 indexed citations

Zheng, Wenjie, Ming Zhang, Weiwei Wu, Xi Tang, & Zhenyuan Pan. (2024). The Likelihood of Resistant Tinea Capitis Caused by Hortaea Werneckii: A Case Report. Clinical Cosmetic and Investigational Dermatology. Volume 17. 2653–2657. 1 indexed citations

Han, Peng, Yuanlong Wu, Zhenyuan Pan, et al.. (2024). Identification of SSR markers linked to the abscission of cotton boll traits and mining germplasm in Cotton. Journal of Cotton Research. 7(1). 3 indexed citations

Jiang, Ping, et al.. (2024). Appropriate mowing can promote the growth of Anabasis aphylla through the auxin metabolism pathway. BMC Plant Biology. 24(1). 482–482. 4 indexed citations

Han, Peng, Wenhong Liu, Qi Zhang, et al.. (2023). Dissection of Hyperspectral Reflectance to Estimate Photosynthetic Characteristics in Upland Cotton (Gossypium hirsutum L.) under Different Nitrogen Fertilizer Application Based on Machine Learning Algorithms. Plants. 12(3). 455–455. 5 indexed citations

Pan, Zhenyuan, et al.. (2023). Combination of soy protein isolate and calcium chloride inhibits browning and maintains quality of fresh-cut peaches. Emirates Journal of Food and Agriculture. 6 indexed citations

10.

Pan, Zhenyuan, Yuanlong Wu, Chao Shen, et al.. (2023). QTL Mapping for Fiber Quality Based on Introgression Lines Population from G. hirsutum × G. tomentosum. Agriculture. 13(3). 579–579. 4 indexed citations

11.

Zhang, Qi, Zhenyuan Pan, Zhibo Li, et al.. (2023). Genome-Wide Identification and Analysis of the WNK Kinase Gene Family in Upland Cotton. Plants. 12(23). 4036–4036. 7 indexed citations

12.

Han, Peng, et al.. (2022). Advances and prospects of genetic mapping of Verticillium wilt resistance in cotton. Journal of Cotton Research. 5(1). 7 indexed citations

13.

Han, Peng, Jing Wang, Qingyong Yang, et al.. (2022). Association mapping of lignin response to Verticillium wilt through an eight-way MAGIC population in Upland cotton. Journal of Integrative Agriculture. 22(5). 1324–1337. 6 indexed citations

14.

Pan, Zhenyuan, Chunyuan You, Chao Shen, et al.. (2021). Association mapping and domestication analysis to dissect genetic improvement process of upland cotton yield-related traits in China. Journal of Cotton Research. 4(1). 4 indexed citations

15.

Tan, Zengdong, et al.. (2021). Fine mapping of a kernel length-related gene with potential value for maize breeding. Theoretical and Applied Genetics. 134(4). 1033–1045. 7 indexed citations

16.

Shahzad, Raheel, Putri Widyanti Harlina, Shahid Ullah Khan, et al.. (2021). β-Sitosterol differentially regulates key metabolites for growth improvement and stress tolerance in rice plants during prolonged UV-B stress. Journal of Genetic Engineering and Biotechnology. 19(1). 79–79. 22 indexed citations

17.

Pan, Zhenyuan, Qingyong Yang, Zhongxu Lin, et al.. (2020). Identification of candidate genes controlling fiber quality traits in upland cotton through integration of meta-QTL, significant SNP and transcriptomic data. Journal of Cotton Research. 3(1). 9 indexed citations

18.

Zhao, Hailiang, et al.. (2020). 22KD Zein Content Coordinates Transcriptional Activity during Starch Synthesis in Maize Endosperm. Agronomy. 10(5). 624–624. 8 indexed citations

19.

Zhao, Hailiang, Yao Qin, Ning Yang, et al.. (2020). Loss of Function of an RNA Polymerase III Subunit Leads to Impaired Maize Kernel Development. PLANT PHYSIOLOGY. 184(1). 359–373. 21 indexed citations

20.

Pan, Zhenyuan, Min Liu, Hailiang Zhao, et al.. (2019). ZmSMK9, a pentatricopeptide repeat protein, is involved in the cis-splicing of nad5, kernel development and plant architecture in maize. Plant Science. 288. 110205–110205. 21 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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