Chuanxi Ma

2.9k total citations · 1 hit paper
93 papers, 2.0k citations indexed

About

Chuanxi Ma is a scholar working on Plant Science, Genetics and Agronomy and Crop Science. According to data from OpenAlex, Chuanxi Ma has authored 93 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Plant Science, 19 papers in Genetics and 17 papers in Agronomy and Crop Science. Recurrent topics in Chuanxi Ma's work include Wheat and Barley Genetics and Pathology (40 papers), Seed Germination and Physiology (25 papers) and Genetics and Plant Breeding (20 papers). Chuanxi Ma is often cited by papers focused on Wheat and Barley Genetics and Pathology (40 papers), Seed Germination and Physiology (25 papers) and Genetics and Plant Breeding (20 papers). Chuanxi Ma collaborates with scholars based in China, Canada and Pakistan. Chuanxi Ma's co-authors include Muhammad Azhar Nadeem, Cheng Chang, Muhammad Yahya, Jiajia Li, Haiping Zhang, Jie Lu, Liaqat Shah, Hongqi Si, Xiaobo Wang and Asif Ali and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Chuanxi Ma

86 papers receiving 1.9k citations

Hit Papers

Research Progress and Perspective on Drought Stress in Le... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chuanxi Ma China 26 1.8k 440 371 288 105 93 2.0k
Ernesto Igartua Spain 30 1.9k 1.1× 424 1.0× 580 1.6× 236 0.8× 73 0.7× 88 2.0k
Shailendra Sharma India 20 1.4k 0.8× 192 0.4× 476 1.3× 362 1.3× 76 0.7× 71 1.7k
Aluízio Borém Brazil 24 1.5k 0.9× 262 0.6× 362 1.0× 238 0.8× 80 0.8× 130 1.8k
Clay Sneller United States 33 2.6k 1.5× 445 1.0× 841 2.3× 214 0.7× 151 1.4× 99 2.8k
Alessandro Tondelli Italy 25 2.7k 1.5× 523 1.2× 816 2.2× 483 1.7× 72 0.7× 50 2.9k
M. Z. Z. Jahufer New Zealand 16 1.4k 0.8× 400 0.9× 543 1.5× 289 1.0× 57 0.5× 45 1.8k
Vernon Gracen Ghana 24 1.5k 0.9× 293 0.7× 330 0.9× 510 1.8× 65 0.6× 104 1.9k
Francis C. Ogbonnaya Australia 33 3.0k 1.7× 556 1.3× 900 2.4× 333 1.2× 115 1.1× 82 3.2k
K. K. Kidwell United States 29 2.2k 1.3× 475 1.1× 671 1.8× 436 1.5× 107 1.0× 68 2.5k
Hai‐Chun Jing China 26 1.8k 1.0× 448 1.0× 442 1.2× 956 3.3× 39 0.4× 58 2.3k

Countries citing papers authored by Chuanxi Ma

Since Specialization
Citations

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

Fields of papers citing papers by Chuanxi Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chuanxi Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Chuanxi Ma. A scholar is included among the top collaborators of Chuanxi 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 Chuanxi Ma. Chuanxi Ma 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.
Dong, Lei, Guangwei Zhu, Yanfeng Ding, et al.. (2024). Single- and multi-locus genome-wide association study reveals genomic regions of thirteen yield-related traits in common wheat. BMC Plant Biology. 24(1). 1228–1228.
2.
Fan, Yonghui, Wei He, Yu Tang, et al.. (2023). Night warming from tillering to jointing increases post-anthesis flag leaf photosynthetic capacity and wheat yield. European Journal of Agronomy. 150. 126926–126926. 8 indexed citations
3.
Liu, Mingli, Chenchen Wang, Qing Xu, et al.. (2023). Genome-wide identification of the CPK gene family in wheat (Triticum aestivum L.) and characterization of TaCPK40 associated with seed dormancy and germination. Plant Physiology and Biochemistry. 196. 608–623. 10 indexed citations
4.
Song, Ying, Jing‐Xian Wang, Zi‐Sheng Zhang, et al.. (2023). Balanced nitrogen–iron sufficiency boosts grain yield and nitrogen use efficiency by promoting tillering. Molecular Plant. 16(10). 1661–1677. 26 indexed citations
5.
Cao, Jiajia, Jie Lu, Li Zhao, et al.. (2023). Genome-Wide Association Analysis of Grain Hardness in Common Wheat. Genes. 14(3). 672–672. 4 indexed citations
7.
Cheng, Xinran, Chang Gao, Xue Liu, et al.. (2022). Characterization of the wheat VQ protein family and expression of candidate genes associated with seed dormancy and germination. BMC Plant Biology. 22(1). 119–119. 8 indexed citations
8.
Chen, Can, et al.. (2022). Fine Mapping of Stripe-Rust-Resistance Gene YrJ22 in Common Wheat by BSR-Seq and MutMap-Based Sequencing. Plants. 11(23). 3244–3244. 3 indexed citations
9.
Chen, Can, Sheng Wang, Jie Lu, et al.. (2021). Cloning, expression analysis and molecular marker development of cinnamyl alcohol dehydrogenase gene in common wheat. PROTOPLASMA. 258(4). 881–889. 9 indexed citations
10.
Shah, Liaqat, Asif Ali, Yulei Zhu, et al.. (2017). Wheat resistance to Fusarium head blight and possibilities of its improvement using molecular marker-assisted selection. Czech Journal of Genetics and Plant Breeding. 53(2). 47–54. 10 indexed citations
11.
Si, Hongqi, et al.. (2014). Cloning and Characterization of Low-Molecular-Weight Glutenin Subunit Alleles from Chinese Wheat Landraces (Triticum aestivumL.). The Scientific World JOURNAL. 2014. 1–6. 5 indexed citations
12.
Si, Hongqi, et al.. (2012). Distribution of low-molecular-weight glutenin subunit Glu-B3 alleles in mini core collections of Chinese wheat germplasms. Australian Journal of Crop Science. 6(9). 1390–1394. 2 indexed citations
13.
Zhang, Haiping, Chang Cheng, Chuanxi Ma, et al.. (2011). Investigation of main loci contributing to strong seed dormancy of Chinese wheat landrace.. Journal of Pharmaceutical and Biomedical Sciences. 19(2). 270–277. 5 indexed citations
14.
Zhang, Haiping, et al.. (2009). Detection method and analysis of pre-harvest sprouting resistance in wheat RIL population. Anhui Nongye Daxue xuebao. 36(1). 68–72.
15.
Zhang, Haiping, et al.. (2009). Detecting and identifying polymorphism of Viviparous-B1 gene and its seed dormancy in mini-core collection of Chinese wheat varieties.. Journal of Pharmaceutical and Biomedical Sciences. 17(4). 690–694. 1 indexed citations
16.
Wang, Xiaobo, et al.. (2009). Allelic variation of PPO genes in Chinese wheat micro-core collections.. Zhongguo nongye Kexue. 42(1). 28–35. 2 indexed citations
17.
Hu, Xia, et al.. (2009). Effects of nitrogen application on grain yield and quality of Wanmai 48.. Anhui Nongye Daxue xuebao. 36(3). 426–430. 1 indexed citations
18.
Wang, Xiaobo, et al.. (2008). Development and application of a STS marker for grain PPO gene located on chromosome 2D in common wheat. Zhongguo nongye Kexue. 9 indexed citations
19.
Cai, Hua & Chuanxi Ma. (2005). Study on Increasing Frequency of Haploid Embryo Production through Wheat × Maize. 1 indexed citations
20.
Wu, Dianxing, et al.. (2004). Optimization of major factors for tissue culture and Agrobacterium-mediated genetic transformation of Japanese lawngrass (Zoysia japonica). Acta Pratacultural Science. 13(4). 100–105. 2 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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