Xianghua Li

28.6k total citations · 8 hit papers
214 papers, 21.1k citations indexed

About

Xianghua Li is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Xianghua Li has authored 214 papers receiving a total of 21.1k indexed citations (citations by other indexed papers that have themselves been cited), including 192 papers in Plant Science, 87 papers in Molecular Biology and 47 papers in Genetics. Recurrent topics in Xianghua Li's work include Plant-Microbe Interactions and Immunity (64 papers), Plant Molecular Biology Research (51 papers) and Plant Pathogenic Bacteria Studies (48 papers). Xianghua Li is often cited by papers focused on Plant-Microbe Interactions and Immunity (64 papers), Plant Molecular Biology Research (51 papers) and Plant Pathogenic Bacteria Studies (48 papers). Xianghua Li collaborates with scholars based in China, United States and Japan. Xianghua Li's co-authors include Caiguo Xu, Qifa Zhang, Jinghua Xiao, Shiping Wang, Lizhong Xiong, Yongzhong Xing, Jialing Yao, Hongbo Liu, Yinglong Cao and Meng Yuan and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Xianghua Li

212 papers receiving 20.7k citations

Hit Papers

Natural variation in Ghd7 is an important regulator of he... 2006 2026 2012 2019 2008 2006 2006 2011 2010 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xianghua Li China 78 19.0k 8.3k 5.7k 622 526 214 21.1k
Qifa Zhang China 84 22.3k 1.2× 8.7k 1.1× 11.5k 2.0× 531 0.9× 394 0.7× 241 25.3k
Jianmin Wan China 57 9.9k 0.5× 3.8k 0.5× 4.5k 0.8× 476 0.8× 273 0.5× 292 11.4k
Gynheung An South Korea 96 22.3k 1.2× 15.7k 1.9× 3.5k 0.6× 566 0.9× 514 1.0× 376 26.8k
Hidemi Kitano Japan 70 19.6k 1.0× 9.9k 1.2× 5.7k 1.0× 140 0.2× 226 0.4× 166 21.0k
Motoyuki Ashikari Japan 60 18.6k 1.0× 9.0k 1.1× 5.9k 1.0× 152 0.2× 219 0.4× 131 19.8k
Manoj Prasad India 56 8.0k 0.4× 4.0k 0.5× 1.7k 0.3× 293 0.5× 292 0.6× 222 10.0k
Tong Zhu United States 63 12.1k 0.6× 7.2k 0.9× 1.0k 0.2× 559 0.9× 384 0.7× 173 14.6k
Robert Meeley United States 53 8.0k 0.4× 4.9k 0.6× 1.7k 0.3× 511 0.8× 330 0.6× 102 9.3k
Shozo Fujioka Japan 73 16.8k 0.9× 12.2k 1.5× 1.6k 0.3× 273 0.4× 346 0.7× 215 19.2k
James J. Giovannoni United States 73 17.3k 0.9× 11.9k 1.4× 1.4k 0.2× 575 0.9× 450 0.9× 175 20.7k

Countries citing papers authored by Xianghua Li

Since Specialization
Citations

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

Fields of papers citing papers by Xianghua Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xianghua Li

This figure shows the co-authorship network connecting the top 25 collaborators of Xianghua Li. A scholar is included among the top collaborators of Xianghua Li 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 Xianghua Li. Xianghua Li 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.
Yu, Fulong, Liang Li, Song Wang, et al.. (2024). Lysine demethylase 5C inhibits transcription of prefoldin subunit 5 to activate c-Myc signal transduction and colorectal cancer progression. Molecular Medicine. 30(1). 9–9. 3 indexed citations
2.
Wu, Bi, Hongbo Liu, Donghai Mao, et al.. (2023). Suppressing a phosphohydrolase of cytokinin nucleotide enhances grain yield in rice. Nature Genetics. 55(8). 1381–1389. 32 indexed citations
3.
Liu, Zhining, Xianghua Li, Heng Jiang, et al.. (2021). Mucin 16 Promotes Colorectal Cancer Development and Progression Through Activation of Janus Kinase 2. Digestive Diseases and Sciences. 67(6). 2195–2208. 13 indexed citations
4.
Ke, Yinggen, Meng Yuan, Hongbo Liu, et al.. (2020). The versatile functions of OsALDH2B1 provide a genic basis for growth–defense trade-offs in rice. Proceedings of the National Academy of Sciences. 117(7). 3867–3873. 78 indexed citations
6.
Xu, Yan, Dan Hu, Xin Hou, et al.. (2020). OsTMF attenuates cold tolerance by affecting cell wall properties in rice. New Phytologist. 227(2). 498–512. 28 indexed citations
7.
Tang, Ning, Hua Zhang, Xianghua Li, Jinghua Xiao, & Lizhong Xiong. (2012). Constitutive Activation of Transcription Factor OsbZIP46 Improves Drought Tolerance in Rice      . PLANT PHYSIOLOGY. 158(4). 1755–1768. 277 indexed citations
8.
Yang, Jiangyi, Xiaobo Zhao, Ke Cheng, et al.. (2012). A Killer-Protector System Regulates Both Hybrid Sterility and Segregation Distortion in Rice. Science. 337(6100). 1336–1340. 208 indexed citations
9.
Li, Xianghua. (2011). Analysis on Genetic Structure of Wild Soybeans Populations by SSR Markers. Dadou kexue. 1 indexed citations
10.
Yuan, Meng, Zhaohui Chu, Xianghua Li, Caiguo Xu, & Shiping Wang. (2010). The Bacterial Pathogen Xanthomonas oryzae Overcomes Rice Defenses by Regulating Host Copper Redistribution . The Plant Cell. 22(9). 3164–3176. 208 indexed citations
11.
Shen, Xiangling, Bin Yuan, Hongbo Liu, et al.. (2010). Opposite functions of a rice mitogen-activated protein kinase during the process of resistance against Xanthomonas oryzae. The Plant Journal. 64(1). no–no. 89 indexed citations
12.
Kou, Yanjun, Xianghua Li, Jinghua Xiao, & Shiping Wang. (2010). Identification of genes contributing to quantitative disease resistance in rice. Science China Life Sciences. 53(11). 1263–1273. 11 indexed citations
13.
Chen, Jiongjiong, Jihua Ding, Yidan Ouyang, et al.. (2008). A triallelic system of S5 is a major regulator of the reproductive barrier and compatibility of indica–japonica hybrids in rice. Proceedings of the National Academy of Sciences. 105(32). 11436–11441. 232 indexed citations
14.
Xue, Weiya, Yongzhong Xing, Xiaoyu Weng, et al.. (2008). Natural variation in Ghd7 is an important regulator of heading date and yield potential in rice. Nature Genetics. 40(6). 761–767. 1246 indexed citations breakdown →
15.
Jiang, Gonghao, et al.. (2005). Characterization of the Main Effects, Epistatic Effects and Their Environmental Interactions of QTL on the Genetic Basis of Plant Height and Heading Date in Rice. Agricultural Sciences in China. 4(3). 161–168. 2 indexed citations
16.
Li, Xianghua, et al.. (2005). Research progress of wild soybean (Glycine soja) and suggestions for improving its effective utilization and protection. Dadou kexue. 24(4). 305–309. 4 indexed citations
17.
Liu, Shiping, et al.. (2003). Improvement of Resistance to Rice Blast in Zhenshan 97 by Molecular Marker-aided Selection. Journal of Integrative Plant Biology. 45(11). 1346–1350. 31 indexed citations
18.
Liu, Shiping, et al.. (2003). Gene pyramiding to increase the blast resistance in rice. 1(1). 22–26. 9 indexed citations
19.
Qiu, Lijuan, et al.. (2003). Establishment of Chinese soybean (G. max) core collection.I.Sampling strategy. 36(12). 1442–1449. 4 indexed citations
20.
Chang, Ruzhen, et al.. (2000). Tagging salt tolerant genes using PCR markers in soyabeans.. Zhongguo nongye Kexue. 33(1). 10–16. 3 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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