Qiyue Ma

1.6k total citations
8 papers, 596 citations indexed

About

Qiyue Ma is a scholar working on Plant Science, Molecular Biology and Biochemistry. According to data from OpenAlex, Qiyue Ma has authored 8 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Plant Science, 5 papers in Molecular Biology and 2 papers in Biochemistry. Recurrent topics in Qiyue Ma's work include Postharvest Quality and Shelf Life Management (2 papers), Plant Gene Expression Analysis (2 papers) and Plant Physiology and Cultivation Studies (2 papers). Qiyue Ma is often cited by papers focused on Postharvest Quality and Shelf Life Management (2 papers), Plant Gene Expression Analysis (2 papers) and Plant Physiology and Cultivation Studies (2 papers). Qiyue Ma collaborates with scholars based in United States, China and Israel. Qiyue Ma's co-authors include Zhangjun Fei, James J. Giovannoni, Theodore W. Thannhauser, Yimin Xu, Jocelyn K. C. Rose, Yanna Shi, Kunsong Chen, Lukas A. Mueller, Eliel Ruíz-May and Yoshihito Shinozaki and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Scientific Reports.

In The Last Decade

Qiyue Ma

7 papers receiving 591 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qiyue Ma United States 7 465 342 101 52 23 8 596
Javier López-Baltazar Mexico 6 489 1.1× 328 1.0× 83 0.8× 37 0.7× 22 1.0× 11 592
Jidi Xu China 13 559 1.2× 480 1.4× 73 0.7× 34 0.7× 9 0.4× 25 703
Yujin Yuan China 13 618 1.3× 546 1.6× 109 1.1× 21 0.4× 16 0.7× 17 773
Fengqing Han China 17 532 1.1× 505 1.5× 70 0.7× 73 1.4× 10 0.4× 56 738
Chan-Ju Lee South Korea 12 234 0.5× 164 0.5× 59 0.6× 15 0.3× 14 0.6× 19 354
Mondher Bouzayen France 9 761 1.6× 398 1.2× 52 0.5× 50 1.0× 26 1.1× 11 840
Yingqing Luo China 7 416 0.9× 394 1.2× 90 0.9× 16 0.3× 12 0.5× 10 548
Nguyen Hoai Nguyen South Korea 14 632 1.4× 607 1.8× 74 0.7× 15 0.3× 6 0.3× 18 798
Xuhao Pan China 10 224 0.5× 176 0.5× 47 0.5× 30 0.6× 6 0.3× 16 318
Songxiao Cao China 12 361 0.8× 227 0.7× 29 0.3× 28 0.5× 50 2.2× 14 450

Countries citing papers authored by Qiyue Ma

Since Specialization
Citations

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

Fields of papers citing papers by Qiyue Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiyue Ma

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

All Works

8 of 8 papers shown
1.
Chen, Ling‐Ling, Chenglong Zhao, Jin Wang, et al.. (2024). CRISPR/Cas9-mediated knockout of GhAMS11 and GhMS188 reveals key roles in tapetal development and pollen exine formation in upland cotton. International Journal of Biological Macromolecules. 293. 139362–139362.
2.
Shi, Yanna, Julia Vrebalov, Hui Zheng, et al.. (2021). A tomato LATERAL ORGAN BOUNDARIES transcription factor, SlLOB1 , predominantly regulates cell wall and softening components of ripening. Proceedings of the National Academy of Sciences. 118(33). 84 indexed citations
3.
Padmanabhan, Chellappan, Qiyue Ma, Samuel F. Hutton, et al.. (2019). Comprehensive transcriptome analysis and functional characterization of PR-5 for its involvement in tomato Sw-7 resistance to tomato spotted wilt tospovirus. Scientific Reports. 9(1). 7673–7673. 43 indexed citations
4.
Wang, Anquan, Qiyue Ma, Jocelyn K. C. Rose, et al.. (2019). The tomato HIGH PIGMENT1/DAMAGED DNA BINDING PROTEIN 1 gene contributes to regulation of fruit ripening. Horticulture Research. 6(1). 15–15. 26 indexed citations
5.
Shinozaki, Yoshihito, Philippe Nicolas, Noé Fernández‐Pozo, et al.. (2018). High-resolution spatiotemporal transcriptome mapping of tomato fruit development and ripening. Nature Communications. 9(1). 364–364. 269 indexed citations
6.
Yazdani, Mohammad, Zhaoxia Sun, Hui Yuan, et al.. (2018). Ectopic expression of ORANGE promotes carotenoid accumulation and fruit development in tomato. Plant Biotechnology Journal. 17(1). 33–49. 87 indexed citations
7.
Gonda, Itay, Hamid Ashrafi, David Lyon, et al.. (2018). Sequencing‐Based Bin Map Construction of a Tomato Mapping Population, Facilitating High‐Resolution Quantitative Trait Loci Detection. The Plant Genome. 12(1). 60 indexed citations
8.
Arbelaez, Juan David, Lyza Maron, Timothy O. Jobe, et al.. (2017). ALUMINUM RESISTANCE TRANSCRIPTION FACTOR 1 ( ART 1 ) contributes to natural variation in aluminum resistance in diverse genetic backgrounds of rice ( O. sativa ). Plant Direct. 1(4). e00014–e00014. 27 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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