Wujun Ma

6.6k total citations
179 papers, 4.7k citations indexed

About

Wujun Ma is a scholar working on Plant Science, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, Wujun Ma has authored 179 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 163 papers in Plant Science, 35 papers in Molecular Biology and 26 papers in Agronomy and Crop Science. Recurrent topics in Wujun Ma's work include Wheat and Barley Genetics and Pathology (107 papers), Plant Disease Resistance and Genetics (25 papers) and Genetics and Plant Breeding (24 papers). Wujun Ma is often cited by papers focused on Wheat and Barley Genetics and Pathology (107 papers), Plant Disease Resistance and Genetics (25 papers) and Genetics and Plant Breeding (24 papers). Wujun Ma collaborates with scholars based in Australia, China and Mexico. Wujun Ma's co-authors include R. Appels, Shahidul Islam, Zhonghu He, K. R. Gale, Yueming Yan, Xiaohui Li, X. C. Xia, Shunli Wang, Jingjuan Zhang and Maoyun She and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Wujun Ma

169 papers receiving 4.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wujun Ma Australia 42 4.0k 1.0k 709 662 503 179 4.7k
Yuming Wei China 39 4.9k 1.2× 1.1k 1.1× 646 0.9× 330 0.5× 1.6k 3.1× 335 5.5k
N. di Fonzo Italy 38 3.8k 0.9× 1.4k 1.4× 890 1.3× 490 0.7× 674 1.3× 135 4.7k
Hisashi Tsujimoto Japan 36 3.5k 0.9× 940 0.9× 501 0.7× 137 0.2× 699 1.4× 209 4.0k
Guangmin Xia China 43 5.6k 1.4× 3.0k 2.9× 343 0.5× 91 0.1× 804 1.6× 195 6.4k
Cristóbal Uauy United Kingdom 58 9.6k 2.4× 3.0k 3.0× 1.4k 1.9× 481 0.7× 2.4k 4.8× 145 10.4k
Anna Maria Mastrangelo Italy 37 4.0k 1.0× 1.1k 1.1× 683 1.0× 141 0.2× 955 1.9× 72 4.7k
Harold N. Trick United States 41 6.0k 1.5× 2.4k 2.4× 447 0.6× 147 0.2× 956 1.9× 90 6.8k
Dongfa Sun China 25 1.7k 0.4× 617 0.6× 222 0.3× 73 0.1× 414 0.8× 54 2.0k
Adriano Marocco Italy 31 3.4k 0.8× 1.2k 1.2× 218 0.3× 146 0.2× 409 0.8× 98 4.1k
Tuan‐Hua David Ho United States 47 5.4k 1.3× 3.5k 3.5× 199 0.3× 215 0.3× 302 0.6× 102 6.7k

Countries citing papers authored by Wujun Ma

Since Specialization
Citations

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

Fields of papers citing papers by Wujun Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wujun Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Wujun Ma. A scholar is included among the top collaborators of Wujun 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 Wujun Ma. Wujun 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.
An, Qi, Yi He, Xiaobo Xia, et al.. (2025). The metacaspase–Peps–PEPR immune module confers resistance to Fusarium head blight in wheat. The Plant Cell. 37(8).
2.
Zeng, Jianbin, Yongmei Wang, Gang Wu, et al.. (2024). Comparative Transcriptome Analysis Reveals the Genes and Pathways Related to Wheat Root Hair Length. International Journal of Molecular Sciences. 25(4). 2069–2069. 4 indexed citations
3.
Wang, Yalin, Hui‐Min Qin, Jincheng Ni, et al.. (2024). Genome-Wide Identification, Characterization and Expression Patterns of the DBB Transcription Factor Family Genes in Wheat. International Journal of Molecular Sciences. 25(21). 11654–11654. 1 indexed citations
4.
Cui, Yutao, Yalin Wang, Hui‐Min Qin, et al.. (2024). Genome-Wide Association Studies for Wheat Height Under Different Nitrogen Conditions. Agriculture. 14(11). 1998–1998.
5.
Xu, Dengan, Hui‐Min Qin, Yalin Wang, et al.. (2023). Impact of “Green Revolution” gene Rht-B1b on coleoptile length of wheat. Frontiers in Plant Science. 14. 1147019–1147019. 2 indexed citations
6.
Rustgi, Sachin, Rutwik Barmukh, Asif B. Shikari, et al.. (2023). Advances and opportunities in unraveling cold‐tolerance mechanisms in the world's primary staple food crops. The Plant Genome. 17(1). e20402–e20402. 9 indexed citations
7.
Zhao, Yun, Shanjida Rahman, Maoyun She, et al.. (2023). The putative vacuolar processing enzyme gene TaVPE3cB is a candidate gene for wheat stem pith-thickness. Theoretical and Applied Genetics. 136(6). 138–138. 4 indexed citations
8.
Zhao, Yun, Shahidul Islam, Jingjuan Zhang, et al.. (2023). Current Progress and Future Prospect of Wheat Genetics Research towards an Enhanced Nitrogen Use Efficiency. Plants. 12(9). 1753–1753. 6 indexed citations
9.
Xue, Feng, Qian Yu, Jianbin Zeng, et al.. (2023). Comprehensive Analysis of the INDETERMINATE DOMAIN (IDD) Gene Family and Their Response to Abiotic Stress in Zea mays. International Journal of Molecular Sciences. 24(7). 6185–6185. 8 indexed citations
10.
Yang, Fan, Jingjuan Zhang, Hang Liu, et al.. (2022). Improvement and Re-Evolution of Tetraploid Wheat for Global Environmental Challenge and Diversity Consumption Demand. International Journal of Molecular Sciences. 23(4). 2206–2206. 15 indexed citations
11.
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
12.
Cao, Hui, Owen Duncan, Shahidul Islam, et al.. (2021). Increased Wheat Protein Content via Introgression of an HMW Glutenin Selectively Reshapes the Grain Proteome. Molecular & Cellular Proteomics. 20. 100097–100097. 12 indexed citations
13.
Hu, Xin, Yingquan Zhang, Jingjuan Zhang, et al.. (2021). Consensus Genetic Linkage Map Construction Based on One Common Parental Line for QTL Mapping in Wheat. Agronomy. 11(2). 227–227. 3 indexed citations
14.
15.
Rahman, Shanjida, Shahidul Islam, Zitong Yu, et al.. (2020). Current Progress in Understanding and Recovering the Wheat Genes Lost in Evolution and Domestication. International Journal of Molecular Sciences. 21(16). 5836–5836. 27 indexed citations
16.
Islam, Shahidul, Zitong Yu, Meiqin Lu, et al.. (2019). Introgression of an expressed HMW 1Ay glutenin subunit allele into bread wheat cv. Lincoln increases grain protein content and breadmaking quality without yield penalty. Theoretical and Applied Genetics. 133(2). 517–528. 27 indexed citations
17.
Juhász, Angéla, Tatiana Belova, Iris Fischer, et al.. (2018). Genome mapping of seed-borne allergens and immunoresponsive proteins in wheat. Science Advances. 4(8). eaar8602–eaar8602. 105 indexed citations
18.
Zhang, Yujuan, Xin Hu, Shahidul Islam, et al.. (2018). New insights into the evolution of wheat avenin-like proteins in wild emmer wheat ( Triticum dicoccoides ). Proceedings of the National Academy of Sciences. 115(52). 13312–13317. 31 indexed citations
19.
Li, XH, et al.. (2008). Rapid separation and characterization of grain water-soluble proteins in bread wheat cultivars (Triticum aestivum L.) by capillary electrophoresis. Murdoch Research Repository (Murdoch University). 1 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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