Guohua Mi

7.4k total citations · 1 hit paper
101 papers, 4.5k citations indexed

About

Guohua Mi is a scholar working on Plant Science, Agronomy and Crop Science and Genetics. According to data from OpenAlex, Guohua Mi has authored 101 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Plant Science, 61 papers in Agronomy and Crop Science and 13 papers in Genetics. Recurrent topics in Guohua Mi's work include Plant nutrient uptake and metabolism (70 papers), Crop Yield and Soil Fertility (60 papers) and Genetics and Plant Breeding (20 papers). Guohua Mi is often cited by papers focused on Plant nutrient uptake and metabolism (70 papers), Crop Yield and Soil Fertility (60 papers) and Genetics and Plant Breeding (20 papers). Guohua Mi collaborates with scholars based in China, United States and Mexico. Guohua Mi's co-authors include Fanjun Chen, Fusuo Zhang, Lixing Yuan, Qinwu Chen, Yanling Chen, Xiaohuan Mu, Dali Wu, Jianhua Zhang, Hui Shao and Yuxin Miao and has published in prestigious journals such as Nature, PLoS ONE and Applied Catalysis B: Environmental.

In The Last Decade

Guohua Mi

98 papers receiving 4.4k citations

Hit Papers

Closing yield gaps in China by empowering smallholder far... 2016 2026 2019 2022 2016 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guohua Mi China 40 3.6k 1.9k 905 366 325 101 4.5k
Lixiao Nie China 41 5.0k 1.4× 978 0.5× 1.2k 1.3× 392 1.1× 338 1.0× 136 5.9k
K. D. Sayre Mexico 27 2.7k 0.7× 1.6k 0.8× 1.2k 1.3× 249 0.7× 269 0.8× 38 3.8k
Larry C. Purcell United States 44 5.3k 1.5× 1.8k 0.9× 642 0.7× 419 1.1× 597 1.8× 149 6.2k
T.J. Stomph Netherlands 32 2.2k 0.6× 1.2k 0.6× 851 0.9× 142 0.4× 339 1.0× 135 3.5k
Tatsuhiko Shiraiwa Japan 34 3.5k 1.0× 917 0.5× 1.7k 1.8× 329 0.9× 383 1.2× 152 5.1k
Kehui Cui China 42 5.4k 1.5× 1.0k 0.6× 1.1k 1.2× 810 2.2× 353 1.1× 111 6.1k
R. Sylvester‐Bradley United Kingdom 38 4.3k 1.2× 2.9k 1.5× 1.5k 1.7× 320 0.9× 432 1.3× 140 5.8k
Len J. Wade Australia 42 4.0k 1.1× 981 0.5× 1.5k 1.6× 556 1.5× 461 1.4× 122 5.4k
Frederick E. Below United States 35 3.1k 0.9× 1.8k 1.0× 907 1.0× 140 0.4× 222 0.7× 100 3.9k
Rachid Serraj Philippines 45 6.9k 1.9× 1.3k 0.7× 1.1k 1.2× 574 1.6× 314 1.0× 114 7.8k

Countries citing papers authored by Guohua Mi

Since Specialization
Citations

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

Fields of papers citing papers by Guohua Mi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guohua Mi

This figure shows the co-authorship network connecting the top 25 collaborators of Guohua Mi. A scholar is included among the top collaborators of Guohua Mi 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 Guohua Mi. Guohua Mi 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.
Sun, Xichao, Peng Wang, & Guohua Mi. (2025). Genotypic Differences in Maize Root Morphology in Response to Low-Nitrogen Stress. Agronomy. 15(2). 332–332. 1 indexed citations
2.
Yang, Zhiqi, et al.. (2025). Enhancing Crop Nitrogen Efficiency: The Role of Mixed Nitrate and Ammonium Supply in Plant Growth and Development. Biology. 14(5). 546–546. 8 indexed citations
3.
Shao, Hui, et al.. (2025). Maize root system phenotypes for efficient uptake of nitrogen and high yields. Field Crops Research. 334. 110154–110154.
5.
Guan, Tian, Wei Ren, Xiaoyang Liu, et al.. (2024). Microbiology Combined with the Root Metabolome Reveals the Responses of Root Microorganisms to Maize Cultivars under Different Forms of Nitrogen Supply. Agronomy. 14(8). 1828–1828. 1 indexed citations
6.
Stomph, T.J., Hannah Schneider, Yanling Chen, et al.. (2024). Root plasticity improves maize nitrogen use when nitrogen is limiting: an analysis using 3D plant modelling. Journal of Experimental Botany. 75(18). 5989–6005. 6 indexed citations
7.
Liang, Jiaxing, Wei Ren, Xiaoyang Liu, et al.. (2023). Improving Nitrogen Status Diagnosis and Recommendation of Maize Using UAV Remote Sensing Data. Agronomy. 13(8). 1994–1994. 9 indexed citations
8.
Liu, Zhigang, Pengcheng Li, Wei Ren, et al.. (2023). Hybrid performance evaluation and genome-wide association analysis of root system architecture in a maize association population. Theoretical and Applied Genetics. 136(9). 194–194. 4 indexed citations
9.
Liu, Zheng, et al.. (2023). High responsiveness to nitrogen supply in modern maize cultivars is contributed to gibberellin-dependent leaf elongation. Environmental and Experimental Botany. 210. 105339–105339. 1 indexed citations
10.
Mi, Guohua, Min Yang, Cunjin Wang, et al.. (2021). A simple “turn off-on” ratio fluorescent probe for sensitive detection of dopamine and lysine/arginine. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 253. 119555–119555. 39 indexed citations
11.
Liu, Shuoran, et al.. (2020). Synergistic Regulation of Nitrogen and Sulfur on Redox Balance of Maize Leaves and Amino Acids Balance of Grains. Frontiers in Plant Science. 11. 576718–576718. 13 indexed citations
12.
Zhang, Weifeng, Cao Guo-xin, Xiaolin Li, et al.. (2016). Closing yield gaps in China by empowering smallholder farmers. Nature. 537(7622). 671–674. 457 indexed citations breakdown →
13.
Yang, Lan, Song Guo, Qinwu Chen, et al.. (2016). Use of the Stable Nitrogen Isotope to Reveal the Source-Sink Regulation of Nitrogen Uptake and Remobilization during Grain Filling Phase in Maize. PLoS ONE. 11(9). e0162201–e0162201. 37 indexed citations
14.
Li, Pengcheng, Hongguang Cai, Zhigang Liu, et al.. (2015). Use of genotype‐environment interactions to elucidate the pattern of maize root plasticity to nitrogen deficiency. Journal of Integrative Plant Biology. 58(3). 242–253. 35 indexed citations
16.
Cai, Hongguang, Qun Chu, Riliang Gu, et al.. (2012). Identification of QTLs for plant height, ear height and grain yield in maize (Zea mays L.) in response to nitrogen and phosphorus supply. Plant Breeding. 131(4). 502–510. 59 indexed citations
17.
Liu, Jianchao, Qun Chu, Hongguang Cai, Guohua Mi, & Fanjun Chen. (2010). SSR linkage map construction and QTL mapping for leaf area in maize. Hereditas (Beijing). 32(6). 625–631. 12 indexed citations
18.
Liu, Jinxin, Xia An, Lei Cheng, et al.. (2010). Auxin transport in maize roots in response to localized nitrate supply. Annals of Botany. 106(6). 1019–1026. 53 indexed citations
19.
Liu, Jinxin, Fanjun Chen, Anthony D. M. Glass, et al.. (2009). Root size and nitrogen‐uptake activity in two maize (Zea mays) inbred lines differing in nitrogen‐use efficiency. Journal of Plant Nutrition and Soil Science. 172(2). 230–236. 70 indexed citations
20.
Niu, Jun, et al.. (2006). Transpiration, and Nitrogen Uptake and Flow in Two Maize (Zea mays L.) Inbred Lines as Affected by Nitrogen Supply. Annals of Botany. 99(1). 153–160. 37 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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