Xingxue Mao

1.1k total citations
33 papers, 706 citations indexed

About

Xingxue Mao is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Xingxue Mao has authored 33 papers receiving a total of 706 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Plant Science, 15 papers in Molecular Biology and 11 papers in Genetics. Recurrent topics in Xingxue Mao's work include GABA and Rice Research (13 papers), Genetic Mapping and Diversity in Plants and Animals (11 papers) and Plant Stress Responses and Tolerance (8 papers). Xingxue Mao is often cited by papers focused on GABA and Rice Research (13 papers), Genetic Mapping and Diversity in Plants and Animals (11 papers) and Plant Stress Responses and Tolerance (8 papers). Xingxue Mao collaborates with scholars based in China, United States and Hong Kong. Xingxue Mao's co-authors include Jingfang Dong, Junliang Zhao, Shaohong Zhang, Tifeng Yang, Bin Liu, Shijuan Yan, Xiaoyuan Zhu, Yang Wu, Jianyuan Yang and Hua Fu and has published in prestigious journals such as Applied and Environmental Microbiology, Biochemical and Biophysical Research Communications and International Journal of Molecular Sciences.

In The Last Decade

Xingxue Mao

33 papers receiving 696 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xingxue Mao China 16 608 280 167 48 36 33 706
Tifeng Yang China 17 784 1.3× 343 1.2× 229 1.4× 57 1.2× 19 0.5× 32 883
Zemao Yang China 13 491 0.8× 236 0.8× 131 0.8× 12 0.3× 21 0.6× 35 636
Rafiul Amin Laskar India 17 689 1.1× 182 0.7× 91 0.5× 16 0.3× 10 0.3× 42 779
Zehou Liu China 12 410 0.7× 142 0.5× 131 0.8× 25 0.5× 10 0.3× 28 501
Balaji Aravindhan Pandian United States 6 403 0.7× 140 0.5× 137 0.8× 41 0.9× 9 0.3× 12 502
Langlang Ma China 17 712 1.2× 220 0.8× 332 2.0× 72 1.5× 20 0.6× 50 829
Xiaojian Deng China 15 570 0.9× 551 2.0× 132 0.8× 12 0.3× 13 0.4× 43 769
Zhongyi Wu China 15 777 1.3× 468 1.7× 44 0.3× 17 0.4× 12 0.3× 50 955
Sebastian Worch Germany 6 301 0.5× 161 0.6× 56 0.3× 12 0.3× 31 0.9× 9 409
Júlio Cézar de Mattos Cascardo Brazil 12 343 0.6× 247 0.9× 23 0.1× 33 0.7× 31 0.9× 15 548

Countries citing papers authored by Xingxue Mao

Since Specialization
Citations

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

Fields of papers citing papers by Xingxue Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingxue Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Xingxue Mao. A scholar is included among the top collaborators of Xingxue 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 Xingxue Mao. Xingxue 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.
Mao, Xingxue, Liqun Jiang, Jing Zhang, et al.. (2024). MKK3 Cascade Regulates Seed Dormancy Through a Negative Feedback Loop Modulating ABA Signal in Rice. Rice. 17(1). 2–2. 5 indexed citations
2.
Mao, Xingxue, Hang Yu, Xue Jiao, et al.. (2024). OsRHS Negatively Regulates Rice Heat Tolerance at the Flowering Stage by Interacting With the HSP Protein cHSP70‐4. Plant Cell & Environment. 48(1). 350–364. 7 indexed citations
3.
Jiang, Liqun, Hang Yu, Jing Zhang, et al.. (2024). Transcription factor encoding gene OsC1 regulates leaf sheath color through anthocyanidin metabolism in Oryza rufipogon and Oryza sativa. BMC Plant Biology. 24(1). 147–147. 4 indexed citations
4.
Tang, Xuan, Jing Zhang, Qing Liu, et al.. (2024). OsLSC6 Regulates Leaf Sheath Color and Cold Tolerance in Rice Revealed by Metabolite Genome Wide Association Study. Rice. 17(1). 34–34. 4 indexed citations
5.
Zhang, Xing, Hang Yu, Qing Liu, et al.. (2024). Transcriptome Analysis of Rice Near-Isogenic Lines Inoculated with Two Strains of Xanthomonas oryzae pv. oryzae, AH28 and PXO99A. Plants. 13(22). 3129–3129. 1 indexed citations
6.
Ding, Jiaji, Yan Ma, Fan Pan, et al.. (2023). Ubiquitin receptor protein OsDSK2b plays a negative role in rice leaf blast resistance and osmotic stress tolerance. ACTA AGRONOMICA SINICA. 49(6). 1466–1479. 1 indexed citations
7.
Gao, Guanjun, Jie Hu, Yufu Wang, et al.. (2023). Improvement of Rice Blast Resistance in TGMS Line HD9802S through Optimized Anther Culture and Molecular Marker-Assisted Selection. International Journal of Molecular Sciences. 24(19). 14446–14446. 3 indexed citations
8.
Jiang, Liqun, Hang Yu, Xingxue Mao, et al.. (2023). Genetic variation analysis of pleiotropic gene Ghd7 in rice. Plant Growth Regulation. 101(1). 227–237. 1 indexed citations
9.
Zhang, Jing, Zhilan Fan, Hang Yu, et al.. (2022). Genetic diversity of wild rice accessions (Oryza rufipogon Griff.) in Guangdong and Hainan Provinces, China, and construction of a wild rice core collection. Frontiers in Plant Science. 13. 999454–999454. 10 indexed citations
10.
Yang, Tifeng, Lian Zhou, Junliang Zhao, et al.. (2020). The Candidate Genes Underlying a Stably Expressed QTL for Low Temperature Germinability in Rice (Oryza sativa L.). Rice. 13(1). 74–74. 21 indexed citations
11.
Mao, Xingxue, Jianjun Zhang, Shijuan Yan, et al.. (2019). The MKKK62-MKK3-MAPK7/14 module negatively regulates seed dormancy in rice. Rice. 12(1). 2–2. 41 indexed citations
12.
Zhao, Junliang, Yang Wu, Shaohong Zhang, et al.. (2018). Genome-wide association study and candidate gene analysis of rice cadmium accumulation in grain in a diverse rice collection. Rice. 11(1). 61–61. 89 indexed citations
13.
Liu, Qing, Xia Li, Shijuan Yan, et al.. (2018). OsWRKY67 positively regulates blast and bacteria blight resistance by direct activation of PR genes in rice. BMC Plant Biology. 18(1). 257–257. 57 indexed citations
14.
Zhao, Junliang, Shaohong Zhang, Jingfang Dong, et al.. (2017). A novel functional gene associated with cold tolerance at the seedling stage in rice. Plant Biotechnology Journal. 15(9). 1141–1148. 69 indexed citations
15.
Zhang, Shaohong, Xiuying He, Junliang Zhao, et al.. (2017). Identification and validation of a novel major QTL for harvest index in rice (Oryza sativa L.). Rice. 10(1). 44–44. 12 indexed citations
16.
17.
Liu, Qing, Jianyuan Yang, Shaohong Zhang, et al.. (2016). OsGF14e positively regulates panicle blast resistance in rice. Biochemical and Biophysical Research Communications. 471(1). 247–252. 16 indexed citations
18.
Zhang, Zhisheng, Xingxue Mao, Juanying Ou, et al.. (2014). Distinct photorespiratory reactions are preferentially catalyzed by glutamate:glyoxylate and serine:glyoxylate aminotransferases in rice. Journal of Photochemistry and Photobiology B Biology. 142. 110–117. 20 indexed citations
19.
Li, Chen, et al.. (2006). The genetic diversity of Gaozhou wild rice analyzed by SSR. Chinese Science Bulletin. 51(5). 562–572. 12 indexed citations
20.
Dai, Ziyu, Xingxue Mao, Jon Magnuson, & Linda L. Lasure. (2004). Identification of Genes Associated with Morphology in Aspergillus niger by Using Suppression Subtractive Hybridization. Applied and Environmental Microbiology. 70(4). 2474–2485. 43 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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