Xiaohuan Mu

2.5k total citations · 2 hit papers
35 papers, 1.8k citations indexed

About

Xiaohuan Mu is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Xiaohuan Mu has authored 35 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Plant Science, 12 papers in Molecular Biology and 8 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Xiaohuan Mu's work include Plant nutrient uptake and metabolism (11 papers), Insect and Pesticide Research (8 papers) and Plant and animal studies (8 papers). Xiaohuan Mu is often cited by papers focused on Plant nutrient uptake and metabolism (11 papers), Insect and Pesticide Research (8 papers) and Plant and animal studies (8 papers). Xiaohuan Mu collaborates with scholars based in China, France and United States. Xiaohuan Mu's co-authors include Yanling Chen, Fanjun Chen, Lixing Yuan, Qinwu Chen, Guohua Mi, Hao Zheng, Zijing Zhang, Xiao Hu, Shi Yao and Jie Luo and has published in prestigious journals such as Nature, Nature Communications and Blood.

In The Last Decade

Xiaohuan Mu

32 papers receiving 1.7k citations

Hit Papers

The physiological response of photosynthesis to nitrogen ... 2020 2026 2022 2024 2020 2022 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaohuan Mu China 19 918 419 340 249 223 35 1.8k
Bruno Chauvel France 31 1.8k 1.9× 265 0.6× 503 1.5× 336 1.3× 797 3.6× 96 2.5k
Michael Müller Finland 23 1.2k 1.3× 501 1.2× 205 0.6× 249 1.0× 315 1.4× 73 2.3k
G. de Boer United States 23 513 0.6× 200 0.5× 639 1.9× 457 1.8× 304 1.4× 46 2.0k
Lei Yang China 23 321 0.3× 608 1.5× 109 0.3× 355 1.4× 79 0.4× 112 1.5k
Lee E. Gunter United States 28 1.8k 2.0× 1.5k 3.7× 554 1.6× 81 0.3× 211 0.9× 53 3.1k
Bin Zhang China 24 553 0.6× 680 1.6× 62 0.2× 518 2.1× 147 0.7× 148 1.7k
Fabio Marroni Italy 24 662 0.7× 515 1.2× 84 0.2× 92 0.4× 115 0.5× 66 1.6k
Hyo Jung Kim South Korea 14 3.4k 3.7× 2.5k 6.0× 92 0.3× 67 0.3× 168 0.8× 28 3.9k
José Luis Reyes Mexico 34 3.9k 4.3× 2.8k 6.6× 119 0.3× 82 0.3× 148 0.7× 79 5.1k

Countries citing papers authored by Xiaohuan Mu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohuan Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohuan Mu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohuan Mu. A scholar is included among the top collaborators of Xiaohuan Mu 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 Xiaohuan Mu. Xiaohuan Mu 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.
Mu, Xiaohuan, Yanwen Yu, Hongbin Niu, et al.. (2024). Regulation of maize growth and immunity by ZmSKI3‐mediated RNA decay and post‐transcriptional gene silencing. Journal of Integrative Plant Biology. 66(11). 2561–2577.
2.
Li, Meng, Xiaohuan Mu, Jiankun Li, et al.. (2024). Spatial accumulation of lignin monomers and cellulose underlying stalk strength in maize. Plant Physiology and Biochemistry. 214. 108918–108918. 11 indexed citations
3.
Wang, Xiuling, Niu Li, Xucun Jia, et al.. (2024). Integrated transcriptomics and metabolomics analysis provide insights into the alleviation of waterlogging stress in maize by exogenous spermidine application. Journal of Integrative Agriculture. 24(12). 4546–4560.
4.
Mu, Xiaohuan, Yuwen Liu, Qian Zeng, et al.. (2024). Gut symbiont-derived anandamide promotes reward learning in honeybees by activating the endocannabinoid pathway. Cell Host & Microbe. 32(11). 1944–1958.e7. 8 indexed citations
5.
Yu, Yanwen, Jiankun Li, Xiaohuan Mu, et al.. (2024). Copine proteins are required for brassinosteroid signaling in maize and Arabidopsis. Nature Communications. 15(1). 2028–2028. 9 indexed citations
6.
Wang, Aiyuan, Fang Li, Jing Zhang, et al.. (2024). Intra-ovarian inflammatory states and their associations with embryo quality in normal-BMI PCOS patients undergoing IVF treatment. Reproductive Biology and Endocrinology. 22(1). 11–11. 11 indexed citations
7.
Li, Jiankun, Ying Zhang, Mengyao Chen, et al.. (2023). Characterization and fine mapping of a maize lesion mimic mutant (Les8) with enhanced resistance to Curvularia leaf spot and southern leaf blight. Theoretical and Applied Genetics. 137(1). 7–7. 7 indexed citations
8.
Li, Jiankun, Xiaohuan Mu, Jie Gao, et al.. (2022). Underlying mechanism of accelerated cell death and multiple disease resistance in a maizelethal leaf spot 1allele. Journal of Experimental Botany. 73(12). 3991–4007. 15 indexed citations
9.
Sun, Huihui, Xiaohuan Mu, Kexun Zhang, et al.. (2022). Geographical resistome profiling in the honeybee microbiome reveals resistance gene transfer conferred by mobilizable plasmids. Microbiome. 10(1). 69–69. 21 indexed citations
10.
Zhang, Zijing, et al.. (2022). Honeybee gut Lactobacillus modulates host learning and memory behaviors via regulating tryptophan metabolism. Nature Communications. 13(1). 2037–2037. 139 indexed citations breakdown →
11.
Wang, Qinglin, Xiaohuan Mu, Hao Chen, et al.. (2021). Strain-level analysis reveals the vertical microbial transmission during the life cycle of bumblebee. Microbiome. 9(1). 216–216. 38 indexed citations
12.
Wu, Jiaqiang, et al.. (2021). Honey bee genetics shape the strain-level structure of gut microbiota in social transmission. Microbiome. 9(1). 225–225. 48 indexed citations
13.
14.
Mu, Xiaohuan, Zhanyong Guo, Hui Zhang, et al.. (2021). Systematic dissection of disease resistance to southern corn rust by bulked-segregant and transcriptome analysis. The Crop Journal. 10(2). 426–435. 11 indexed citations
15.
16.
Mu, Xiaohuan & Jie Luo. (2019). Evolutionary analyses of NIN-like proteins in plants and their roles in nitrate signaling. Cellular and Molecular Life Sciences. 76(19). 3753–3764. 69 indexed citations
17.
Mu, Xiaohuan, Qinwu Chen, Fanjun Chen, Lixing Yuan, & Guohua Mi. (2018). Dynamic remobilization of leaf nitrogen components in relation to photosynthetic rate during grain filling in maize. Plant Physiology and Biochemistry. 129. 27–34. 50 indexed citations
18.
Mu, Xiaohuan, Qinwu Chen, Xiangyu Wu, et al.. (2018). Gibberellins synthesis is involved in the reduction of cell flux and elemental growth rate in maize leaf under low nitrogen supply. Environmental and Experimental Botany. 150. 198–208. 51 indexed citations
19.
Zhou, Fan, Xianlong Li, Weili Wang, et al.. (2016). Tracing haematopoietic stem cell formation at single-cell resolution. Nature. 533(7604). 487–492. 263 indexed citations
20.
Mu, Xiaohuan, Qinwu Chen, Fanjun Chen, Lixing Yuan, & Guohua Mi. (2016). Within-Leaf Nitrogen Allocation in Adaptation to Low Nitrogen Supply in Maize during Grain-Filling Stage. Frontiers in Plant Science. 7. 699–699. 164 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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