Bailin Li

6.2k total citations
100 papers, 4.1k citations indexed

About

Bailin Li is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Bailin Li has authored 100 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Plant Science, 44 papers in Molecular Biology and 19 papers in Genetics. Recurrent topics in Bailin Li's work include Genetic Mapping and Diversity in Plants and Animals (16 papers), Plant Molecular Biology Research (9 papers) and Natural product bioactivities and synthesis (8 papers). Bailin Li is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (16 papers), Plant Molecular Biology Research (9 papers) and Natural product bioactivities and synthesis (8 papers). Bailin Li collaborates with scholars based in China, United States and Germany. Bailin Li's co-authors include Michael E Foley, Mary Beatty, Robert Meeley, Kevin Fengler, Gina Zastrow‐Hayes, Kirsten Bomblies, Yves Vigouroux, Qiong Zhao, Lewis Lukens and John Doebley and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Genetics.

In The Last Decade

Bailin Li

93 papers receiving 4.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bailin Li China 28 2.9k 1.7k 1.2k 194 161 100 4.1k
Ik‐Young Choi South Korea 30 2.5k 0.9× 1.4k 0.8× 804 0.7× 105 0.5× 246 1.5× 132 4.3k
Yong Xu China 43 3.0k 1.0× 2.1k 1.3× 1.2k 1.0× 87 0.4× 85 0.5× 127 5.0k
Qingyao Shu China 43 4.2k 1.5× 2.3k 1.4× 1.0k 0.8× 84 0.4× 126 0.8× 196 5.5k
Spencer Brown France 39 3.5k 1.2× 2.9k 1.7× 440 0.4× 138 0.7× 203 1.3× 112 4.9k
Daowen Wang China 44 5.5k 1.9× 3.3k 2.0× 659 0.5× 274 1.4× 79 0.5× 181 7.3k
Jiang Hu China 38 4.3k 1.5× 1.9k 1.2× 1.8k 1.5× 155 0.8× 125 0.8× 160 5.4k
Jeff H. Chang United States 40 3.7k 1.3× 1.9k 1.1× 320 0.3× 129 0.7× 328 2.0× 125 5.6k
Xiaohong Yang China 41 5.1k 1.8× 2.0k 1.2× 3.1k 2.5× 549 2.8× 233 1.4× 148 6.9k
Guoying Wang China 36 3.2k 1.1× 1.8k 1.1× 1.1k 0.9× 268 1.4× 54 0.3× 139 4.6k
Wesley M. Garrett United States 30 1.3k 0.5× 1.2k 0.7× 662 0.5× 119 0.6× 65 0.4× 111 2.9k

Countries citing papers authored by Bailin Li

Since Specialization
Citations

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

Fields of papers citing papers by Bailin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bailin Li

This figure shows the co-authorship network connecting the top 25 collaborators of Bailin Li. A scholar is included among the top collaborators of Bailin 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 Bailin Li. Bailin 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
2.
Wu, Junhua, Wencai Yang, Bao Zhang, et al.. (2025). Identification and fine-mapping of qNCLB3.04 resistant to Northern Corn Leaf Blight. Molecular Breeding. 45(7). 59–59.
3.
Liu, Fen, et al.. (2025). Ampelopsis japonica Extract Exhibited Significant Uric Acid-Lowering Effect by Downregulating URAT1/GLUT9 and Alleviates Inflammation Through TLR4/NF-κB Pathway. International Journal of Molecular Sciences. 26(18). 8999–8999. 1 indexed citations
4.
Li, Bailin, et al.. (2025). New insights of licorice (Glycyrrhiza genus) as a functional food. Food Chemistry. 492(Pt 1). 145332–145332. 2 indexed citations
5.
Dong, Xingwen, Yun Wang, Xiaobing Feng, et al.. (2024). Gibberellin-Induced Transcription Factor SmMYB71 Negatively Regulates Salvianolic Acid Biosynthesis in Salvia miltiorrhiza. Molecules. 29(24). 5892–5892.
6.
Thatcher, Shawn, Mark Jung, Kevin Fengler, et al.. (2023). The NLRomes of Zea mays   NAM founder lines and Zea luxurians display presence–absence variation, integrated domain diversity, and mobility. Molecular Plant Pathology. 24(7). 742–757. 13 indexed citations
7.
Hu, Ying, Jennifer Jaqueth, Cheng He, et al.. (2023). Genetic and transcriptomic dissection of host defense to Goss's bacterial wilt and leaf blight of maize. G3 Genes Genomes Genetics. 13(11). 2 indexed citations
8.
Chen, Gengshen, Yingjie Xiao, Xiaoming Wang, et al.. (2022). Genetic basis of resistance to southern corn leaf blight in the maize multi‐parent population and diversity panel. Plant Biotechnology Journal. 21(3). 506–520. 15 indexed citations
9.
Liu, Shuangshuang, Xuwen Jiang, Jennifer Jaqueth, et al.. (2021). Identification of genetic loci associated with rough dwarf disease resistance in maize by integrating GWAS and linkage mapping. Plant Science. 315. 111100–111100. 18 indexed citations
10.
Li, Bailin, Fuda Xie, LI Hai-yan, et al.. (2021). Polyacetylenes from Bidens pilosa Linn., promising insecticides with anti-inflammatory effects on HaCaT cells. Industrial Crops and Products. 171. 113929–113929. 9 indexed citations
11.
Muszynski, Michael G., Hitoshi Sakakibara, Sergey N. Lomin, et al.. (2020). The Maize Hairy Sheath Frayed1 ( Hsf1 ) Mutation Alters Leaf Patterning through Increased Cytokinin Signaling. The Plant Cell. 32(5). 1501–1518. 37 indexed citations
12.
Li, Bailin, et al.. (2018). Change of fine particles and its relationship with meteorological factors in different structures of green space.. Zhejiang linye keji. 38(1). 11–19. 1 indexed citations
13.
Li, Yongxiang, Xun Wu, Jennifer Jaqueth, et al.. (2015). The Identification of Two Head Smut Resistance-Related QTL in Maize by the Joint Approach of Linkage Mapping and Association Analysis. PLoS ONE. 10(12). e0145549–e0145549. 12 indexed citations
14.
Yu, Yongxin, Shuling Yan, Bailin Li, Yingjie Pan, & Yongjie Wang. (2014). Genetic Diversity and Distribution of Human Norovirus in China (1999–2011). BioMed Research International. 2014. 1–13. 36 indexed citations
15.
Zuo, Weiliang, Qing Chao, Nan Zhang, et al.. (2014). A maize wall-associated kinase confers quantitative resistance to head smut. Nature Genetics. 47(2). 151–157. 280 indexed citations
16.
Zhou, Jinglie, Shuling Yan, Jinzhou Xiao, et al.. (2013). Diversity of Virophages in Metagenomic Data Sets. Journal of Virology. 87(8). 4225–4236. 85 indexed citations
17.
Li, Bailin. (2010). A Review of Application of Irradiation Technology in Sterilization and Preservation of Meat Products. Food Science. 4 indexed citations
18.
Salvi, Silvio, G. Sponza, Michele Morgante, et al.. (2007). Conserved noncoding genomic sequences associated with a flowering-time quantitative trait locus in maize. Proceedings of the National Academy of Sciences. 104(27). 11376–11381. 437 indexed citations
19.
Muszynski, Michael G., Bailin Li, Zhenglin Hou, et al.. (2006). delayed flowering1 Encodes a Basic Leucine Zipper Protein That Mediates Floral Inductive Signals at the Shoot Apex in Maize. PLANT PHYSIOLOGY. 142(4). 1523–1536. 136 indexed citations
20.
Zhang, Xiumei, et al.. (2004). Expression and significance of ERK protein in human breast carcinoma. Chinese Journal of Cancer Research. 16(4). 269–273. 6 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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