Bigang Mao

2.6k total citations · 2 hit papers
31 papers, 1.8k citations indexed

About

Bigang Mao is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Bigang Mao has authored 31 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Plant Science, 10 papers in Molecular Biology and 9 papers in Genetics. Recurrent topics in Bigang Mao's work include GABA and Rice Research (11 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers) and Rice Cultivation and Yield Improvement (9 papers). Bigang Mao is often cited by papers focused on GABA and Rice Research (11 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers) and Rice Cultivation and Yield Improvement (9 papers). Bigang Mao collaborates with scholars based in China and United States. Bigang Mao's co-authors include Chengcai Chu, Citao Liu, Wei Wang, Xiping Wang, Shujun Ou, Dingyang Yuan, Bingran Zhao, Meijuan Duan, Yuanyi Hu and Yaokui Li and has published in prestigious journals such as Nature Communications, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Bigang Mao

31 papers receiving 1.8k citations

Hit Papers

Knockout of OsNramp5 using the CRISPR/Cas9 system produce... 2017 2026 2020 2023 2017 2021 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Knockout of OsNramp5 using the CRISPR/Cas9 system produces low Cd-accumulating indica rice without compromising yield
    2017 360 citations Li Tang, Bigang Mao et al. profile →
  2. Salt tolerance in rice: Physiological responses and molecular mechanisms
    2021 222 citations Citao Liu, Bigang Mao et al. profile →

Peers

Bigang Mao
Shikai Hu China
Hiromori Akagi Japan
Tapan Kumar Mondal India
Hiroyuki Kawahigashi Japan
Yuanzhu Yang China
Qin Cheng China
Junliang Zhao China
Amolkumar U. Solanke India
Rongbai Li China
Izumi Kono Japan
Shikai Hu China
Bigang Mao
Citations per year, relative to Bigang Mao Bigang Mao (= 1×) peers Shikai Hu

Countries citing papers authored by Bigang Mao

Since Specialization
Citations

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

Fields of papers citing papers by Bigang Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bigang Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Bigang Mao. A scholar is included among the top collaborators of Bigang Mao 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 Bigang Mao. Bigang Mao 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.
Ning, Wen, et al.. (2025). Reducing cadmium uptake without compromising nitrogen uptake, photosynthesis, or yield in low-Cd hybrid rice. Field Crops Research. 322. 109759–109759. 3 indexed citations
2.
Zhang, Dan, Yuanyi Hu, Li Tang, et al.. (2024). Research on Physiological Characteristics and Differential Gene Expression of Rice Hybrids and Their Parents under Salt Stress at Seedling Stage. Plants. 13(5). 744–744. 1 indexed citations
3.
4.
Zhang, Xiuli, Qing Wang, Li Tang, et al.. (2023). Utilizing differences in bTH tolerance between the parents of two-line hybrid rice to improve the purity of hybrid rice seed. Frontiers in Plant Science. 14. 1217893–1217893. 1 indexed citations
5.
Zheng, Wenjie, Peng Yan, Ye Shao, et al.. (2023). OsPMS1 Mutation Enhances Salt Tolerance by Suppressing ROS Accumulation, Maintaining Na+/K+ Homeostasis, and Promoting ABA Biosynthesis. Genes. 14(8). 1621–1621. 5 indexed citations
6.
Tang, Li, Longtao Tan, Yaokui Li, et al.. (2021). Overexpression of OsLCT2, a Low-Affinity Cation Transporter Gene, Reduces Cadmium Accumulation in Shoots and Grains of Rice. Rice. 14(1). 89–89. 27 indexed citations
7.
Peng, Yan, Bigang Mao, Changquan Zhang, et al.. (2021). Influence of physicochemical properties and starch fine structure on the eating quality of hybrid rice with similar apparent amylose content. Food Chemistry. 353. 129461–129461. 78 indexed citations
8.
9.
Peng, Yan, Bigang Mao, Changquan Zhang, et al.. (2021). Correlations Between Parental Lines and Indica Hybrid Rice in Terms of Eating Quality Traits. Frontiers in Nutrition. 7. 583997–583997. 7 indexed citations
10.
Shao, Ye, Yan Peng, Bigang Mao, et al.. (2020). Allelic variations of the Wx locus in cultivated rice and their use in the development of hybrid rice in China. PLoS ONE. 15(5). e0232279–e0232279. 15 indexed citations
11.
Hu, Yuanyi, Bigang Mao, Yumei Xia, et al.. (2020). Spike-Stalk Injection Method Causes Extensive Phenotypic and Genotypic Variations for Rice Germplasm. Frontiers in Plant Science. 11. 575373–575373. 2 indexed citations
12.
13.
Liu, Citao, Shujun Ou, Bigang Mao, et al.. (2018). Early selection of bZIP73 facilitated adaptation of japonica rice to cold climates. Nature Communications. 9(1). 3302–3302. 190 indexed citations
14.
Yang, Liyu, et al.. (2016). Genome-wide transcriptome analysis of female-sterile rice ovule shed light on its abortive mechanism. Planta. 244(5). 1011–1028. 17 indexed citations
15.
Peng, Yan, Yuanyi Hu, Bigang Mao, et al.. (2015). Genetic analysis for rice grain quality traits in the YVB stable variant line using RAD-seq. Molecular Genetics and Genomics. 291(1). 297–307. 32 indexed citations
16.
Hu, Yuanyi, Bigang Mao, Yan Peng, et al.. (2014). Deep re-sequencing of a widely used maintainer line of hybrid rice for discovery of DNA polymorphisms and evaluation of genetic diversity. Molecular Genetics and Genomics. 289(3). 303–315. 17 indexed citations
17.
Gao, Suwei, et al.. (2011). Genetic Analysis of Rice Mutant L-05261 with Panicle Apical Abortion Trait. ACTA AGRONOMICA SINICA. 37(11). 1935–1941. 1 indexed citations
18.
Cheng, Zhijun, Bigang Mao, Suwei Gao, et al.. (2011). Fine Mapping of qPAA8, a Gene Controlling Panicle Apical Development in Rice. Journal of Integrative Plant Biology. 53(9). no–no. 15 indexed citations
19.
Mao, Bigang, Zhijun Cheng, Cailin Lei, et al.. (2011). Wax crystal-sparse leaf2, a rice homologue of WAX2/GL1, is involved in synthesis of leaf cuticular wax. Planta. 235(1). 39–52. 109 indexed citations
20.
Liu, Xiaolu, Tao Guo, Xiangyuan Wan, et al.. (2010). Transcriptome analysis of grain-filling caryopses reveals involvement of multiple regulatory pathways in chalky grain formation in rice. BMC Genomics. 11(1). 730–730. 79 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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