Ping Mu

1.1k total citations
34 papers, 763 citations indexed

About

Ping Mu is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Ping Mu has authored 34 papers receiving a total of 763 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Plant Science, 13 papers in Genetics and 7 papers in Molecular Biology. Recurrent topics in Ping Mu's work include Rice Cultivation and Yield Improvement (16 papers), Genetic Mapping and Diversity in Plants and Animals (13 papers) and Plant nutrient uptake and metabolism (7 papers). Ping Mu is often cited by papers focused on Rice Cultivation and Yield Improvement (16 papers), Genetic Mapping and Diversity in Plants and Animals (13 papers) and Plant nutrient uptake and metabolism (7 papers). Ping Mu collaborates with scholars based in China, Indonesia and Australia. Ping Mu's co-authors include Zichao Li, Hongliang Zhang, Yongming Gao, Chunping Li, Xiangkun Wang, Lin Qi, Limin Song, Yanying Qu, Zhikang Li and Wen Feng and has published in prestigious journals such as Scientific Reports, Gene and Frontiers in Plant Science.

In The Last Decade

Ping Mu

31 papers receiving 730 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ping Mu China 14 600 275 206 40 34 34 763
Shoumin Zhen China 19 652 1.1× 279 1.0× 35 0.2× 15 0.4× 117 3.4× 28 798
Songguang Yang China 12 880 1.5× 690 2.5× 40 0.2× 20 0.5× 4 0.1× 21 1.0k
Agnieszka Mostek Poland 15 161 0.3× 112 0.4× 92 0.4× 4 0.1× 38 1.1× 20 485
Humberto Henrique de Carvalho Brazil 13 500 0.8× 222 0.8× 20 0.1× 5 0.1× 12 0.4× 29 592
Alexandra Hüsken Germany 12 346 0.6× 292 1.1× 60 0.3× 19 0.5× 51 1.5× 27 487
José Ignacio Ruíz de Galarreta Spain 17 670 1.1× 130 0.5× 110 0.5× 62 1.8× 73 843
Jiangping Song China 18 666 1.1× 559 2.0× 114 0.6× 3 0.1× 21 0.6× 66 924
P. B. Kavi Kishor India 13 888 1.5× 394 1.4× 110 0.5× 30 0.9× 28 1.0k
Myoung Ryoul Park South Korea 11 430 0.7× 196 0.7× 41 0.2× 65 1.6× 14 0.4× 21 536
Baojian Guo China 15 667 1.1× 234 0.9× 86 0.4× 1 0.0× 47 1.4× 45 768

Countries citing papers authored by Ping Mu

Since Specialization
Citations

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

Fields of papers citing papers by Ping Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping Mu

This figure shows the co-authorship network connecting the top 25 collaborators of Ping Mu. A scholar is included among the top collaborators of Ping Mu 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 Ping Mu. Ping Mu 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.
He, Xiaoyan, Yihuan Dong, Yu Gao, et al.. (2024). Genome-wide analysis of FRF gene family and functional identification of HvFRF9 under drought stress in barley. Frontiers in Plant Science. 15. 1347842–1347842. 2 indexed citations
2.
Zhang, Xinyi, Yanjie Wang, Haiyi Peng, et al.. (2024). Identification of crucial drought-tolerant genes of barley through comparative transcriptomic analysis and yeast-based stress assay. Frontiers in Genetics. 15. 1524118–1524118.
3.
Wang, Lei, Ping Mu, Zixiang Zhou, et al.. (2023). Ultrafast spectroscopy of size-dependent hole-transfer-mediated triplet energy transfer in a quantum dot-molecule complex. Results in Physics. 55. 107150–107150. 1 indexed citations
4.
Yin, Huayan, Qian Sun, Xiaoqing Lu, et al.. (2022). Identification of the glutamine synthetase (GS) gene family in four wheat species and functional analysis of Ta4D.GSe in Arabidopsis thaliana. Plant Molecular Biology. 110(1-2). 93–106. 5 indexed citations
5.
Yin, Huayan, Fan Yang, Xiaoyan He, et al.. (2022). Advances in the functional study of glutamine synthetase in plant abiotic stress tolerance response. The Crop Journal. 10(4). 917–923. 39 indexed citations
6.
He, Xiaoyan, Zhen Han, Huayan Yin, et al.. (2021). High-Throughput Sequencing-Based Identification of miRNAs and Their Target mRNAs in Wheat Variety Qing Mai 6 Under Salt Stress Condition. Frontiers in Genetics. 12. 724527–724527. 7 indexed citations
7.
Guo, Weiwei, Ximei Li, Huifang Wang, et al.. (2020). Proteome and lysine acetylome analysis reveals insights into the molecular mechanism of seed germination in wheat. Scientific Reports. 10(1). 20 indexed citations
8.
Liu, Jiabin, Guangyuan Wang, Qi Lin, et al.. (2018). Systematic analysis of the lysine malonylome in common wheat. BMC Genomics. 19(1). 209–209. 25 indexed citations
9.
Zhang, Yumei, Guangyuan Wang, Limin Song, et al.. (2017). Global analysis of protein lysine succinylation profiles in common wheat. BMC Genomics. 18(1). 309–309. 50 indexed citations
10.
Zhang, Yumei, Limin Song, Wenxing Liang, et al.. (2016). Comprehensive profiling of lysine acetylproteome analysis reveals diverse functions of lysine acetylation in common wheat. Scientific Reports. 6(1). 21069–21069. 73 indexed citations
11.
Zhang, Yumei, Zhenshan Liu, A. A. Khan, et al.. (2016). Expression partitioning of homeologs and tandem duplications contribute to salt tolerance in wheat (Triticum aestivum L.). Scientific Reports. 6(1). 21476–21476. 93 indexed citations
12.
Mu, Ping & Zichao Li. (2013). Correlation analysis and QTL mapping of osmotic potential in japonica rice under upland and lowland conditions. BioOne Complete (BioOne). 1 indexed citations
13.
Gai, Shupeng, Yuxi Zhang, Ping Mu, et al.. (2011). Transcriptome analysis of tree peony during chilling requirement fulfillment: Assembling, annotation and markers discovering. Gene. 497(2). 256–262. 61 indexed citations
14.
15.
Li, Junzhou, et al.. (2009). QTL Mapping and QTL × Environment Interactions of Appearance Quality in Upland Rice Introgression Lines under Upland and Lowland Environments. 17(4). 651–658. 2 indexed citations
16.
Mu, Ping, et al.. (2007). QTL Mapping and Q×E Interactions of Grain Cooking and Nutrient Qualities in Rice Under Upland and Lowland Environments. Journal of genetics and genomics. 34(5). 420–428. 21 indexed citations
17.
Mu, Ping, et al.. (2007). Correlation analysis and QTL mapping of grain shape and grain weight in rice under upland and lowland environments. 50–56. 1 indexed citations
18.
Qu, Yanying, Ping Mu, Hongliang Zhang, et al.. (2007). Mapping QTLs of root morphological traits at different growth stages in rice. Genetica. 133(2). 187–200. 110 indexed citations
19.
Li, Zichao, Ping Mu, Chunping Li, et al.. (2005). QTL mapping of root traits in a doubled haploid population from a cross between upland and lowland japonica rice in three environments. Theoretical and Applied Genetics. 110(7). 1244–1252. 121 indexed citations
20.

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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