Meiling Jia

930 total citations
11 papers, 484 citations indexed

About

Meiling Jia is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Meiling Jia has authored 11 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 5 papers in Molecular Biology and 5 papers in Genetics. Recurrent topics in Meiling Jia's work include Wheat and Barley Genetics and Pathology (6 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers) and Plant Molecular Biology Research (2 papers). Meiling Jia is often cited by papers focused on Wheat and Barley Genetics and Pathology (6 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers) and Plant Molecular Biology Research (2 papers). Meiling Jia collaborates with scholars based in China. Meiling Jia's co-authors include Aili Li, Long Mao, Xingchen Kong, Gaoyuan Song, Shuaifeng Geng, Jiantao Guan, Guoliang Sun, Chuanxiao Xie, Kai Chen and Nan Feng and has published in prestigious journals such as PLANT PHYSIOLOGY, New Phytologist and The Plant Journal.

In The Last Decade

Meiling Jia

11 papers receiving 478 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meiling Jia China 9 423 242 115 45 24 11 484
Eddi Esteban Canada 13 546 1.3× 303 1.3× 144 1.3× 50 1.1× 11 0.5× 20 651
Weina Si China 14 496 1.2× 255 1.1× 81 0.7× 13 0.3× 20 0.8× 31 575
Jiyun Liu China 8 566 1.3× 209 0.9× 152 1.3× 20 0.4× 11 0.5× 11 609
Chunyu Zhang China 15 535 1.3× 336 1.4× 71 0.6× 20 0.4× 11 0.5× 28 603
Zongbiao Duan China 12 487 1.2× 143 0.6× 61 0.5× 38 0.8× 11 0.5× 14 537
Sunil Biradar India 10 427 1.0× 82 0.3× 171 1.5× 20 0.4× 21 0.9× 12 471
Hongli Yang China 11 422 1.0× 265 1.1× 55 0.5× 27 0.6× 9 0.4× 27 501
N. Kumaravadivel India 7 565 1.3× 120 0.5× 147 1.3× 45 1.0× 23 1.0× 39 637
Shiveta Sharma India 11 480 1.1× 146 0.6× 131 1.1× 13 0.3× 17 0.7× 20 527

Countries citing papers authored by Meiling Jia

Since Specialization
Citations

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

Fields of papers citing papers by Meiling Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meiling Jia

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

All Works

11 of 11 papers shown
2.
Wang, Zhenyu, Shu Tao, Shaoshuai Liu, et al.. (2022). A Multi-Omics Approach for Rapid Identification of Large Genomic Lesions at the Wheat Dense Spike (wds) Locus. Frontiers in Plant Science. 13. 850302–850302. 3 indexed citations
3.
Sun, Guoliang, Shuaifeng Geng, Hongjie Zhang, et al.. (2022). Matrilineal empowers wheat pollen with haploid induction potency by triggering postmitosis reactive oxygen species activity. New Phytologist. 233(6). 2405–2414. 35 indexed citations
4.
Kong, Xingchen, Fang Wang, Shuaifeng Geng, et al.. (2021). The wheat AGL6‐like MADS‐box gene is a master regulator for floral organ identity and a target for spikelet meristem development manipulation. Plant Biotechnology Journal. 20(1). 75–88. 47 indexed citations
5.
Jia, Meiling, Yanan Li, Zhenyu Wang, et al.. (2021). TaIAA21 represses TaARF25‐mediated expression of TaERFs required for grain size and weight development in wheat. The Plant Journal. 108(6). 1754–1767. 54 indexed citations
6.
Geng, Shuaifeng, Xingchen Kong, Gaoyuan Song, et al.. (2018). DNA methylation dynamics during the interaction of wheat progenitor Aegilops tauschii with the obligate biotrophic fungus Blumeria graminis f. sp. tritici. New Phytologist. 221(2). 1023–1035. 58 indexed citations
7.
Li, Yanan, Shuaifeng Geng, Gaoyuan Song, et al.. (2018). Genome-Wide Identification and Expression Profiling of the TCP Family Genes in Spike and Grain Development of Wheat (Triticum aestivum L.). Frontiers in Plant Science. 9. 64 indexed citations
8.
Song, Gaoyuan, Guoliang Sun, Xingchen Kong, et al.. (2018). The soft glumes of common wheat are sterile-lemmas as determined by the domestication gene Q. The Crop Journal. 7(1). 113–117. 10 indexed citations
9.
Feng, Nan, Gaoyuan Song, Jiantao Guan, et al.. (2017). Transcriptome Profiling of Wheat Inflorescence Development from Spikelet Initiation to Floral Patterning Identified Stage-Specific Regulatory Genes. PLANT PHYSIOLOGY. 174(3). 1779–1794. 78 indexed citations
10.
Jia, Meiling, Jiantao Guan, Shuaifeng Geng, et al.. (2017). Wheat functional genomics in the era of next generation sequencing: An update. The Crop Journal. 6(1). 7–14. 26 indexed citations
11.
Song, Gaoyuan, Meiling Jia, Kai Chen, et al.. (2016). CRISPR/Cas9: A powerful tool for crop genome editing. The Crop Journal. 4(2). 75–82. 105 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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