Boshou Liao

6.9k total citations
134 papers, 3.1k citations indexed

About

Boshou Liao is a scholar working on Plant Science, Inorganic Chemistry and Molecular Biology. According to data from OpenAlex, Boshou Liao has authored 134 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 130 papers in Plant Science, 58 papers in Inorganic Chemistry and 36 papers in Molecular Biology. Recurrent topics in Boshou Liao's work include Peanut Plant Research Studies (104 papers), Coconut Research and Applications (58 papers) and Agricultural pest management studies (36 papers). Boshou Liao is often cited by papers focused on Peanut Plant Research Studies (104 papers), Coconut Research and Applications (58 papers) and Agricultural pest management studies (36 papers). Boshou Liao collaborates with scholars based in China, India and Australia. Boshou Liao's co-authors include Huifang Jiang, Yong Lei, Yuning Chen, Li Huang, Xiaojing Zhou, Liying Yan, Rajeev K. Varshney, Xiaoping Ren, Manish K. Pandey and Dongxin Huai and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Boshou Liao

126 papers receiving 3.1k citations

Peers

Boshou Liao

GENET

S. N. Raina India

Timothy J. Tranbarger France

Himabindu Kudapa India

Apichart Vanavichit Thailand

Fabienne Morcillo France

Chong Zhang China

Philip E. Hammer United States

Frederik Börnke Germany

Michel Noirot France

Esther Carrera Spain

S. N. Raina India

Boshou Liao

2.3k ×0.8

1.4k ×1.4

134 ×0.2

519 ×2.5

GENET

198 ×1.7

Citations per year, relative to Boshou Liao Boshou Liao (= 1×) peers S. N. Raina

Countries citing papers authored by Boshou Liao

Since Specialization

Citations

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

Fields of papers citing papers by Boshou Liao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Boshou Liao

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

All Works

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20 of 20 papers shown

Sudini, Hari Kishan, Sunil S. Gangurde, R.P. Vasanthi, et al.. (2025). Dissecting the genomic regions, candidate genes and pathways using multi‐locus genome‐wide association study for stem rot disease resistance in groundnut. The Plant Genome. 18(3). e70089–e70089. 1 indexed citations

Xu, Hua, Mingjie Zhang, Jianhui Nie, et al.. (2025). A monoclonal antibody targeting conserved regions of pre-fusion protein cross-neutralizes Nipah and Hendra virus variants. Antiviral Research. 240. 106215–106215.

Chen, Haidong, Fan Huang, Zhanjun Lu, et al.. (2025). Largest genome assembly in Brassicaceae: retrotransposon‐driven genome expansion and karyotype evolution in Matthiola incana. Plant Biotechnology Journal. 23(9). 4109–4125.

Wu, Jie, Manish K. Pandey, Nian Liu, et al.. (2024). Enhancing peanut nutritional quality by editing AhKCS genes lacking natural variation. Plant Biotechnology Journal. 22(11). 3015–3017. 7 indexed citations

Huang, Li, Nian Liu, Yuning Chen, et al.. (2023). Identification of a stable major sucrose-related QTL and diagnostic marker for flavor improvement in peanut. Theoretical and Applied Genetics. 136(4). 78–78. 7 indexed citations

Yan, Liying, Hari Kishan Sudini, Yanping Kang, et al.. (2022). Genetic, Phenotypic, and Pathogenic Variation Among Athelia rolfsii, the Causal Agent of Peanut Stem Rot in China. Plant Disease. 106(10). 2722–2729. 7 indexed citations

Zhou, Xiaojing, Huaiyong Luo, Li Huang, et al.. (2022). Genetic dissection of fatty acid components in the Chinese peanut (Arachis hypogaea L.) mini-core collection under multi-environments. PLoS ONE. 17(12). e0279650–e0279650. 10 indexed citations

Liu, Nian, Li Huang, Weigang Chen, et al.. (2020). Dissection of the genetic basis of oil content in Chinese peanut cultivars through association mapping. BMC Genetics. 21(1). 60–60. 8 indexed citations

Luo, Huaiyong, Manish K. Pandey, Zhi Ye, et al.. (2020). Discovery of two novel and adjacent QTLs on chromosome B02 controlling resistance against bacterial wilt in peanut variety Zhonghua 6. Theoretical and Applied Genetics. 133(4). 1133–1148. 13 indexed citations

10.

Sinha, Pallavi, Prasad Bajaj, Lekha T. Pazhamala, et al.. (2020). Arachis hypogaea gene expression atlas for fastigiata subspecies of cultivated groundnut to accelerate functional and translational genomics applications. Plant Biotechnology Journal. 18(11). 2187–2200. 35 indexed citations

11.

Luo, Huaiyong, Haiwen Chen, Jianbin Guo, et al.. (2020). Optimization of extraction of total trans‐resveratrol from peanut seeds and its determination by HPLC. Journal of Separation Science. 43(6). 1024–1031. 22 indexed citations

12.

Luo, Huaiyong, Manish K. Pandey, Aamir W. Khan, et al.. (2019). Next‐generation sequencing identified genomic region and diagnostic markers for resistance to bacterial wilt on chromosome B02 in peanut (Arachis hypogaea L.). Plant Biotechnology Journal. 17(12). 2356–2369. 48 indexed citations

13.

Liu, Nian, Jianbin Guo, Xiaojing Zhou, et al.. (2019). High-resolution mapping of a major and consensus quantitative trait locus for oil content to a ~ 0.8-Mb region on chromosome A08 in peanut (Arachis hypogaea L.). Theoretical and Applied Genetics. 133(1). 37–49. 39 indexed citations

14.

Huang, Li, Xia Liu, Manish K. Pandey, et al.. (2019). Genome‐wide expression quantitative trait locus analysis in a recombinant inbred line population for trait dissection in peanut. Plant Biotechnology Journal. 18(3). 779–790. 17 indexed citations

15.

Luo, Huaiyong, Manish K. Pandey, Aamir W. Khan, et al.. (2018). Discovery of genomic regions and candidate genes controlling shelling percentage using QTL‐seq approach in cultivated peanut (Arachis hypogaea L.). Plant Biotechnology Journal. 17(7). 1248–1260. 58 indexed citations

16.

Liao, Boshou. (2011). Development of Ralstonia solanacearum Quantification Method and Its Application in Peanut with Bacterial Wilt Disease. Zhongguo nongye Kexue. 2 indexed citations

17.

Liao, Boshou, et al.. (2009). Heterosis and genetic analysis of oil content in peanut using mixed model of major gene and polygene.. Zhongguo nongye Kexue. 42(9). 3048–3057. 7 indexed citations

18.

Liao, Boshou, et al.. (2008). Identification and Molecular Traits of Arachis Species with Resistance to Bacterial Wilt. Acta Agriculturae Boreali-Sinica. 23(3). 170–175. 4 indexed citations

19.

Liao, Boshou. (2005). A broad review and perspective on breeding for resistance to bacterial wilt.. 225–238. 31 indexed citations

20.

Liao, Boshou, et al.. (2000). Evaluation of Al toxicity tolerance in high-yielding groundnut genotypes.. Zhongguo youliao zuowu xuebao. 22(1). 38–45.

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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