Kui Li

7.5k total citations
234 papers, 4.8k citations indexed

About

Kui Li is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Kui Li has authored 234 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 135 papers in Molecular Biology, 85 papers in Genetics and 55 papers in Cancer Research. Recurrent topics in Kui Li's work include Genetic and phenotypic traits in livestock (41 papers), Cancer-related molecular mechanisms research (36 papers) and Animal Genetics and Reproduction (28 papers). Kui Li is often cited by papers focused on Genetic and phenotypic traits in livestock (41 papers), Cancer-related molecular mechanisms research (36 papers) and Animal Genetics and Reproduction (28 papers). Kui Li collaborates with scholars based in China, United States and Canada. Kui Li's co-authors include Zhonglin Tang, Yalan Yang, Yulian Mu, Shulin Yang, Shuhong Zhao, Bang Liu, Rong Zhou, Mei Yu, Shaobo Xiao and Liurong Fang and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Kui Li

227 papers receiving 4.7k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kui Li 2.5k 1.4k 1.3k 559 482 234 4.8k
Xuewei Li 2.9k 1.2× 1.9k 1.3× 846 0.6× 412 0.7× 174 0.4× 176 4.9k
Zhihua Jiang 1.9k 0.7× 795 0.6× 1.8k 1.3× 943 1.7× 291 0.6× 203 4.9k
Hui Zhang 2.7k 1.1× 578 0.4× 1.3k 1.0× 460 0.8× 680 1.4× 202 4.9k
Changxin Wu 1.6k 0.7× 447 0.3× 858 0.6× 530 0.9× 184 0.4× 257 3.8k
Christopher K. Tuggle 1.6k 0.6× 590 0.4× 1.9k 1.4× 826 1.5× 278 0.6× 193 4.2k
Zhihui Zhao 1.4k 0.6× 656 0.5× 562 0.4× 672 1.2× 382 0.8× 221 3.6k
Lin Jiang 1.5k 0.6× 854 0.6× 1.4k 1.1× 440 0.8× 243 0.5× 165 4.1k
Jianfeng Liu 1.6k 0.6× 860 0.6× 2.6k 1.9× 504 0.9× 993 2.1× 242 4.7k
Qing Zhu 1.6k 0.6× 625 0.4× 556 0.4× 704 1.3× 261 0.5× 204 3.2k
Massimo Bionaz 1.8k 0.7× 1.1k 0.8× 2.0k 1.5× 1.0k 1.8× 192 0.4× 130 6.1k

Countries citing papers authored by Kui Li

Since Specialization
Citations

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

Fields of papers citing papers by Kui Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kui Li

This figure shows the co-authorship network connecting the top 25 collaborators of Kui Li. A scholar is included among the top collaborators of Kui 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 Kui Li. Kui 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.
Su, Yuhong, Shengli Li, Minghuan Liu, et al.. (2025). EXPERT expands prime editing efficiency and range of large fragment edits. Nature Communications. 16(1). 1592–1592. 5 indexed citations
2.
Li, Kui, W. Gai, Jie Zhou, et al.. (2025). The near-complete genome assembly of pickling cucumber and its mutation library illuminate cucumber functional genomics and genetic improvement. Molecular Plant. 18(4). 551–554. 1 indexed citations
3.
Zhou, Xin, Zongchao Liu, Xiangxi Meng, et al.. (2024). 68Ga-grazytracer PET for noninvasive assessment of response to immunotherapy in solid tumors and lymphomas: a phase 1/2 clinical trial. Nature Communications. 15(1). 8791–8791. 6 indexed citations
4.
Pei, Yangli, Feng Zheng, Hua Li, et al.. (2022). Myostatin Alteration in Pigs Enhances the Deposition of Long-Chain Unsaturated Fatty Acids in Subcutaneous Fat. Foods. 11(9). 1286–1286. 8 indexed citations
5.
Wang, Yanpu, Ting Zhang, Xin Zhou, et al.. (2022). Noninvasive interrogation of CD8+ T cell effector function for monitoring early tumor responses to immunotherapy. Journal of Clinical Investigation. 132(16). 48 indexed citations
6.
Chen, Tongtong, et al.. (2022). Diamond‐Blackfan anaemia caused by a de novo initiation codon mutation resulting in a shorter isoform of GATA1. Clinical Genetics. 102(6). 548–554. 4 indexed citations
7.
Li, Jingrui, Yiming Wang, Yanmei Dong, et al.. (2021). Correction: The chromosome-based lavender genome provides new insights into Lamiaceae evolution and terpenoid biosynthesis. Horticulture Research. 8(1). 10 indexed citations
8.
Zhou, Lin, et al.. (2016). Evaluation of Candidate Reference Genes for Quantitative Gene Expression Studies in Tree Peony. Journal of the American Society for Horticultural Science. 141(2). 99–111. 12 indexed citations
9.
Chen, Jiajia, et al.. (2014). Distribution characteristics of alleles of classical SLA-I and II genes and bioinformatic analysis of novel alleles in Guizhou miniature pigs.. Pakistan Journal of Zoology. 46(3). 617–624.
10.
Ju, Huiming, et al.. (2014). Effects of Introns on the Regulation of Porcine Growth Hormone Expression. Journal of Animal and Veterinary Advances.
11.
Tang, Xiangfang, et al.. (2013). Role of Leptin in Metabolic Adaptation During Cold Acclimation. SHILAP Revista de lepidopterología. 1 indexed citations
12.
Zhang, Jing, Xinhua Hou, Linsen Zan, et al.. (2012). OLFML3 Expression is Decreased during Prenatal Muscle Development and Regulated by MicroRNA-155 in Pigs. International Journal of Biological Sciences. 8(4). 459–469. 27 indexed citations
13.
Yan, Yan, Pingqing Wang, Di Ran, et al.. (2010). Steroid 21-hydroxylase gene (CYP21) as a candidate gene for prolificacy of Jining Grey goat.. Journal of Pharmaceutical and Biomedical Sciences. 18(5). 917–924. 1 indexed citations
14.
Ran, Di, et al.. (2009). Polymorphism of gonadotropin releasing hormaone receptor (GnRHR) gene and its relationship with prolificacy of lining grey goat.. Journal of Pharmaceutical and Biomedical Sciences. 17(2). 218–223. 3 indexed citations
15.
Zhang, Baoyun, et al.. (2009). Polymorphic and linkage analysis of microsatellite OarJL36 and FecB gene in sheep.. Zhongguo nongye Kexue. 42(6). 2133–2141.
16.
Wang, Pingqing, et al.. (2009). Polymorphism of Progesterone Receptor Gene and Its Relationship with Litter Size of Jining Grey Goats. Zhongguo nongye Kexue. 42(5). 1768–1775. 1 indexed citations
17.
Li, Kui. (2008). Polymorphism Analysis of Partial 3′UTR of the Bone Morphogenetic Protein Receptor IB (BMPR-IB ) Gene in Sheep. Journal of Pharmaceutical and Biomedical Sciences. 1 indexed citations
18.
Li, Kui. (2008). Polymorphism of GnRHR Gene and Its Relationship with Prolificacy of Small Tail Han Sheep. Journal of Pharmaceutical and Biomedical Sciences. 7 indexed citations
19.
Tang, Zhonglin, Yong Li, Ping Wan, et al.. (2007). LongSAGE analysis of skeletal muscle at three prenatal stages in Tongcheng and Landrace pigs. Genome biology. 8(6). R115–R115. 114 indexed citations
20.
Tang, Wenhua, et al.. (2007). Mapping,Cloning and Expression Profile Analysis of Porcine NDUFS2 Gene. Xumu shouyi xuebao. 1137–1142. 1 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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