Yinghua Pan

2.5k total citations
61 papers, 1.3k citations indexed

About

Yinghua Pan is a scholar working on Plant Science, Genetics and Soil Science. According to data from OpenAlex, Yinghua Pan has authored 61 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Plant Science, 30 papers in Genetics and 14 papers in Soil Science. Recurrent topics in Yinghua Pan's work include Genetic Mapping and Diversity in Plants and Animals (29 papers), Rice Cultivation and Yield Improvement (18 papers) and GABA and Rice Research (17 papers). Yinghua Pan is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (29 papers), Rice Cultivation and Yield Improvement (18 papers) and GABA and Rice Research (17 papers). Yinghua Pan collaborates with scholars based in China, Pakistan and Indonesia. Yinghua Pan's co-authors include Junna Sun, Zhenhua Zhang, Fuhong He, Hongliang Zhang, Zichao Li, Jinjie Li, Muhammad Abdul Rehman Rashid, Zhanying Zhang, Xiaoyang Zhu and Guofu Deng and has published in prestigious journals such as Nature Communications, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Yinghua Pan

59 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yinghua Pan China	19	877	446	231	200	107	61	1.3k
Liu United States	19	1.0k 1.2×	91 0.2×	176 0.8×	397 2.0×	59 0.6×	242	1.5k
Takashi Motobayashi Japan	20	648 0.7×	149 0.3×	96 0.4×	289 1.4×	38 0.4×	60	1.1k
Guangdeng Chen China	22	873 1.0×	186 0.4×	114 0.5×	255 1.3×	14 0.1×	91	1.2k
Adnan Rasheed China	18	1.0k 1.1×	53 0.1×	199 0.9×	275 1.4×	39 0.4×	69	1.5k
Xiaohua Pan China	22	833 0.9×	54 0.1×	126 0.5×	532 2.7×	139 1.3×	105	1.5k
Motohiko Kondo Japan	31	2.2k 2.5×	614 1.4×	291 1.3×	231 1.2×	15 0.1×	104	2.7k
Mirza Jaynul Baig India	19	650 0.7×	55 0.1×	225 1.0×	199 1.0×	21 0.2×	72	1.1k
Yongjun Zeng China	23	961 1.1×	67 0.2×	86 0.4×	689 3.4×	108 1.0×	82	1.6k
Z. Kaczmarek Poland	20	859 1.0×	118 0.3×	183 0.8×	51 0.3×	22 0.2×	114	1.1k
J.A. Franco Spain	25	1.6k 1.8×	55 0.1×	202 0.9×	326 1.6×	38 0.4×	107	2.0k

Countries citing papers authored by Yinghua Pan

Since Specialization

Citations

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

Fields of papers citing papers by Yinghua Pan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yinghua Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Yinghua Pan. A scholar is included among the top collaborators of Yinghua 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 Yinghua Pan. Yinghua 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

Li, Jinlong, Honglin Li, Xiaoyang Zhu, et al.. (2025). Natural variation in GNP3 determines grain number and grain yield in rice. Nature Communications. 16(1). 5892–5892.

Ma, Lingling, Haijian Xia, Rui Zhu, et al.. (2025). Natural variation of GNP2 enhances grain number to benefit rice yield. Nature Communications. 16(1). 8848–8848.

Guo, Chengcheng, et al.. (2025). Straw application and drip irrigation boost wolfberry performance in coastal saline soil by modifying the root zone environment and rhizosphere microbiome. Plant and Soil. 515(1). 125–146. 1 indexed citations

Li, Min, Mengxue Gao, Jinmei Huang, et al.. (2025). QTL mapping and candidate gene analysis of element accumulation in rice grains via genome-wide association study and population genetic analysis. BMC Plant Biology. 25(1). 93–93. 1 indexed citations

Pan, Yinghua, et al.. (2023). Effect of Ridging Shapes on the Water–Salt Spatial Distribution of Coastal Saline Soil. Water. 15(16). 2999–2999. 1 indexed citations

Qing, Dongjin, Weiwei Chen, Jingcheng Li, et al.. (2023). Editing of rice (Oryza sativa L.) OsMKK3 gene using CRISPR/Cas9 decreases grain length by modulating the expression of photosystem components. PROTEOMICS. 23(18). e2200538–e2200538. 3 indexed citations

Xie, Jianyin, Xiaoyang Zhu, Xiaoqian Ma, et al.. (2023). Natural variation in Tiller Number 1 affects its interaction with TIF1 to regulate tillering in rice. Plant Biotechnology Journal. 21(5). 1044–1057. 18 indexed citations

Pan, Yinghua, Lei Chen, Xiaoyang Zhu, et al.. (2023). Utilization of natural alleles for heat adaptability QTLs at the flowering stage in rice. BMC Plant Biology. 23(1). 256–256. 7 indexed citations

Zhu, Xiaoyang, Lei Chen, Zhanying Zhang, et al.. (2023). Genetic-based dissection of resistance to bacterial leaf streak in rice by GWAS. BMC Plant Biology. 23(1). 396–396. 6 indexed citations

10.

Pan, Yinghua, Baoxuan Nong, Lei Chen, et al.. (2023). QTL mapping and identification of candidate genes for cold tolerance at the germination stage in wild rice. Genes & Genomics. 45(7). 867–885. 1 indexed citations

11.

Huang, Juan, Lijun Gao, Shuming Luo, et al.. (2022). The genetic editing of GS3 via CRISPR/Cas9 accelerates the breeding of three-line hybrid rice with superior yield and grain quality. Molecular Breeding. 42(4). 22–22. 20 indexed citations

12.

Qing, Dongjin, Yan Zhou, Yinghua Pan, et al.. (2022). TMT-based quantitative proteomic analysis of indica rice cultivars reveals that novel components of the signaling pathways might play a role in grain length regulation. Journal of Proteomics. 270. 104745–104745. 5 indexed citations

13.

Jiang, Conghui, Muhammad Abdul Rehman Rashid, Yanhong Zhang, Yan Zhao, & Yinghua Pan. (2022). Genome wide association study on development and evolution of glutinous rice. BMC Genomic Data. 23(1). 33–33. 10 indexed citations

14.

Rashid, Muhammad Abdul Rehman, Rana Muhammad Atif, Yan Zhao, et al.. (2022). Dissection of genetic architecture for tiller angle in rice ( Oryza sativa . L) by multiple genome-wide association analyses. PeerJ. 10. e12674–e12674. 4 indexed citations

15.

Yu, Jianping, Jinli Miao, Zhanying Zhang, et al.. (2018). Alternative splicing of Os LG 3b controls grain length and yield in japonica rice. Plant Biotechnology Journal. 16(9). 1667–1678. 111 indexed citations

16.

Yu, Jianping, Haiyan Xiong, Xiaoyang Zhu, et al.. (2017). OsLG3 contributing to rice grain length and yield was mined by Ho-LAMap. BMC Biology. 15(1). 28–28. 99 indexed citations

17.

Chen, Xi, et al.. (2012). Effect of salt solution on characteristics of soil infiltration.. Agricultural Science and Technology Hunan. 13(2). 357–438. 1 indexed citations

18.

Zhang, Zhenhua & Yinghua Pan. (2006). Approximate Explicit Solution to Infiltration Rate of Green-Ampt Infiltration Formula. 3 indexed citations

19.

Pan, Yinghua & Kang Shaozhong. (2000). Irrigation water infiltration into furrows and crop water use under alternate furrow irrigation.. Nongye gongcheng xuebao. 16(1). 39–43. 7 indexed citations

20.

Shaozhong, Kang, et al.. (2000). Effect of alternate furrow irrigation on maize production, root density and water-saving benefit.. Zhongguo nongye Kexue. 33(6). 26–32. 11 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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