Shanting Hao

407 total citations
10 papers, 344 citations indexed

About

Shanting Hao is a scholar working on Plant Science, Molecular Biology and Biochemistry. According to data from OpenAlex, Shanting Hao has authored 10 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Plant Science, 5 papers in Molecular Biology and 3 papers in Biochemistry. Recurrent topics in Shanting Hao's work include Wheat and Barley Genetics and Pathology (4 papers), Lipid metabolism and biosynthesis (3 papers) and Photosynthetic Processes and Mechanisms (2 papers). Shanting Hao is often cited by papers focused on Wheat and Barley Genetics and Pathology (4 papers), Lipid metabolism and biosynthesis (3 papers) and Photosynthetic Processes and Mechanisms (2 papers). Shanting Hao collaborates with scholars based in China and United States. Shanting Hao's co-authors include Xudong Wu, Xiu‐Jie Wang, Daowen Wang, Hong‐Qing Ling, Jie Li, Aimin Zhang, Richard R.‐C. Wang, Wei-Bo Yin, Zanmin Hu and Liying Song and has published in prestigious journals such as PLoS ONE, Journal of Experimental Botany and Theoretical and Applied Genetics.

In The Last Decade

Shanting Hao

10 papers receiving 334 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shanting Hao China 8 215 141 76 45 23 10 344
Tesshu Tamai Japan 6 242 1.1× 266 1.9× 41 0.5× 38 0.8× 10 0.4× 13 358
Hirotaka Kumagai Japan 7 316 1.5× 148 1.0× 34 0.4× 14 0.3× 5 0.2× 9 446
Aruna D. Wickramarathna Canada 7 224 1.0× 221 1.6× 13 0.2× 136 3.0× 28 1.2× 8 338
Tao Tong China 11 279 1.3× 143 1.0× 8 0.1× 20 0.4× 6 0.3× 22 333
Samuel F. Boggess United States 8 396 1.8× 149 1.1× 16 0.2× 18 0.4× 7 0.3× 9 459
Daniela Maiwald Germany 5 312 1.5× 137 1.0× 26 0.3× 7 0.2× 6 0.3× 5 383
Helen Pinfield‐Wells United Kingdom 3 199 0.9× 217 1.5× 20 0.3× 194 4.3× 29 1.3× 3 334
Nicolas Tissot France 7 491 2.3× 114 0.8× 13 0.2× 5 0.1× 6 0.3× 10 516
Agnieszka Misztak Poland 11 216 1.0× 124 0.9× 84 1.1× 23 0.5× 15 0.7× 15 396
Ilaria Forieri Germany 5 207 1.0× 97 0.7× 8 0.1× 17 0.4× 4 0.2× 6 246

Countries citing papers authored by Shanting Hao

Since Specialization
Citations

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

Fields of papers citing papers by Shanting Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shanting Hao

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

All Works

10 of 10 papers shown
1.
Wang, Xinyu, Xiufeng Li, Dan Chen, et al.. (2025). Core germplasm construction of tea plant populations based on genome-wide SNP and catechins in Shaanxi Province, China1. Journal of Integrative Agriculture. 1 indexed citations
2.
Cao, Shuanghe, Zhixin Li, Hong Xu, et al.. (2014). Identification and Characterization of High-Molecular-Weight Glutenin Subunits from Agropyron intermedium. PLoS ONE. 9(2). e87477–e87477. 12 indexed citations
3.
Zhang, Jianhui, Lili Bai, Jin Xu, et al.. (2014). Overexpression of the soybean transcription factor GmDof4 significantly enhances the lipid content of Chlorella ellipsoidea. Biotechnology for Biofuels. 7(1). 128–128. 95 indexed citations
4.
Zhang, Jianhui, Lili Bai, Jin Xu, et al.. (2014). Overexpression of the soybean transcription factor GmDof4 significantly enhances the lipid content of. Biotechnology for Biofuels. 7(1). 128–128. 3 indexed citations
5.
Song, Liying, Yan Zhang, Shufen Li, et al.. (2013). Identification of the substrate recognition region in the Δ6-fatty acid and Δ8-sphingolipid desaturase by fusion mutagenesis. Planta. 239(4). 753–763. 11 indexed citations
6.
Lü, Wei, Jun Hu, Yi Zhang, et al.. (2010). Identification and functional analysis of the genes encoding  6-desaturase from Ribes nigrum . Journal of Experimental Botany. 61(6). 1827–1838. 24 indexed citations
7.
Dong, Lingli, Xiaofei Zhang, Dongcheng Liu, et al.. (2010). New Insights into the Organization, Recombination, Expression and Functional Mechanism of Low Molecular Weight Glutenin Subunit Genes in Bread Wheat. PLoS ONE. 5(10). e13548–e13548. 71 indexed citations
8.
Li, Jie, Xudong Wu, Shanting Hao, Xiu‐Jie Wang, & Hong‐Qing Ling. (2008). Proteomic response to iron deficiency in tomato root. PROTEOMICS. 8(11). 2299–2311. 64 indexed citations
9.
Zhang, Hongguo, et al.. (2007). Isolation and characterization of a novel variant of HMW glutenin subunit gene from the St genome of Pseudoroegneria stipifolia. Journal of Cereal Science. 47(3). 429–437. 18 indexed citations
10.
Sun, Xia, Shanglian Hu, Xin Liu, et al.. (2006). Characterization of the HMW glutenin subunits from Aegilops searsii and identification of a novel variant HMW glutenin subunit. Theoretical and Applied Genetics. 113(4). 631–641. 45 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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