Hailiang Mao

2.6k citations
9 papers · 1.9k indexed · 2 hit papers · h-index 6
Topics
Wheat and Barley Genetics and Pathology (4 papers)Genetic Mapping and Diversity in Plants and Animals (4 papers)Genetics and Plant Breeding (3 papers)
Partner nations
ChinaAustraliaMexico

In The Last Decade

Hailiang Mao

9 papers receiving 1.8k citations

Hit Papers

GS3, a major QTL for grain length and weight and minor QT...2006202620122019200620102505007501000

Peers

Hailiang Mao
Comparison fields: 5 of 43
  • Plant Science 1.8k
  • Genetics 1.4k
  • Molecular Biology 373
  • Agronomy and Crop Science 69
  • Nutrition and Dietetics 63
Replace Ruizhen Zeng with:
Ruizhen Zeng China
Penggen Duan China
Charlene P. Wight Canada
Baolan Zhang China
Candice N. Hansey United States
Shuaifeng Geng China
Katherine S. Caldwell United States
Yang-Jun Wen China
Hailiang Mao relative to Ruizhen Zeng China Ruizhen Zeng's profile →
Citations per field
00.5×1.7×
Ruizhen Zeng · 1×
Citations per year

Countries citing papers authored by Hailiang Mao

Since Specialization
Citations

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

Fields of papers citing papers by Hailiang Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hailiang Mao

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 1
2 2
3 15
4 5
5 5
6 3
7 120
8
Linking differential domain functions of the GS3 protein to natural variation of grain size in ricebreakdown →
560
9
GS3, a major QTL for grain length and weight and minor QTL for grain width and thickness in rice, encodes a putative transmembrane proteinbreakdown →
1147

About Hailiang Mao

Hailiang Mao is a scholar working on Plant Science, Genetics and Agronomy and Crop Science, having authored 9 papers that have together received 1.9k indexed citations. Recurring topics across this work include Wheat and Barley Genetics and Pathology (4 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers) and Genetics and Plant Breeding (3 papers). The work is most often cited by research in Genetics (1.4k citations), Plant Science (1.8k citations) and Agronomy and Crop Science (69 citations). Hailiang Mao has collaborated with scholars based in China, Australia and Mexico. Frequent co-authors include Xianghua Li, Qifa Zhang, Caiguo Xu, Tingting Lu, Chuchuan Fan, Yongzhong Xing, Bin Han, Chongrong Wang, Sibin Yu and Shengyuan Sun. Their work appears in journals such as Proceedings of the National Academy of Sciences, Frontiers in Plant Science and Theoretical and Applied Genetics.

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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