Kun Li

3.2k total citations · 1 hit paper
126 papers, 2.2k citations indexed

About

Kun Li is a scholar working on Molecular Biology, Cancer Research and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Kun Li has authored 126 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Molecular Biology, 33 papers in Cancer Research and 27 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Kun Li's work include Cancer-related molecular mechanisms research (22 papers), RNA modifications and cancer (12 papers) and RNA Research and Splicing (11 papers). Kun Li is often cited by papers focused on Cancer-related molecular mechanisms research (22 papers), RNA modifications and cancer (12 papers) and RNA Research and Splicing (11 papers). Kun Li collaborates with scholars based in China, United States and United Kingdom. Kun Li's co-authors include Ziqiang Wang, Cuiqing Ma, Ping Xu, Chao Gao, Lixiang Li, Lijie Zhang, Yu Wang, Chao Chen, Youqiang Xu and Fei Tao and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Kun Li

118 papers receiving 2.2k citations

Hit Papers

lncRNA NEAT1: Key player in neurodegenerative diseases 2023 2026 2024 2025 2023 25 50 75
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. lncRNA NEAT1: Key player in neurodegenerative diseases
    2023 82 citations Kun Li et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kun Li China 26 1.4k 599 454 238 199 126 2.2k
Xiaoyan Xie China 30 2.0k 1.5× 540 0.9× 345 0.8× 131 0.6× 254 1.3× 103 3.2k
Xiaoxuan Xu China 29 1.1k 0.8× 673 1.1× 281 0.6× 104 0.4× 253 1.3× 103 2.8k
Jinlan Huang China 25 906 0.7× 224 0.4× 761 1.7× 116 0.5× 170 0.9× 76 1.8k
Tian Xie China 25 874 0.6× 209 0.3× 404 0.9× 91 0.4× 234 1.2× 63 1.8k
Min Pan China 21 862 0.6× 268 0.4× 447 1.0× 89 0.4× 93 0.5× 107 1.9k
Zheng Zhang China 26 1.1k 0.8× 224 0.4× 352 0.8× 139 0.6× 476 2.4× 93 2.2k
Wiktoria Maria Suchorska Poland 23 829 0.6× 205 0.3× 478 1.1× 172 0.7× 386 1.9× 112 1.8k
Nobuhiko Kobayashi Japan 26 891 0.6× 195 0.3× 208 0.5× 151 0.6× 236 1.2× 79 2.6k
Hao Hu China 29 993 0.7× 341 0.6× 450 1.0× 55 0.2× 279 1.4× 70 2.1k

Countries citing papers authored by Kun Li

Since Specialization
Citations

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

Fields of papers citing papers by Kun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Li

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Li. A scholar is included among the top collaborators of Kun 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 Kun Li. Kun 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.
Li, Kun, Konstantin I. Ivanov, Sidi Yang, et al.. (2025). Anti-SARS-CoV-2 prodrug ATV006 has broad-spectrum antiviral activity against human and animal coronaviruses. Acta Pharmaceutica Sinica B. 15(5). 2498–2510. 1 indexed citations
2.
Guo, Zhiwei, Ke Wang, Xiang Huang, et al.. (2025). Genome-wide nucleosome footprints of plasma cfDNA predict preterm birth: A case-control study. PLoS Medicine. 22(4). e1004571–e1004571. 1 indexed citations
3.
Zhou, Xinrong, Liu Cao, Kun Li, et al.. (2025). Rapid and accurate detection of infectious SARS-CoV-2 by viral receptor capture combined with loop-mediated isothermal amplification. Virologica Sinica. 40(4). 613–623. 1 indexed citations
4.
He, Miao, Liu Cao, Lihong Liu, et al.. (2024). Reconstitution of RNA cap methylation reveals different features of SARS‐CoV‐2 and SARS‐CoV methyltransferases. Journal of Medical Virology. 96(2). e29411–e29411.
5.
Li, Kun, et al.. (2024). The entorhinal cortex and cognitive impairment in schizophrenia: A comprehensive review. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 136. 111218–111218. 2 indexed citations
6.
Ma, Chao, Kun Li, Hui Li, et al.. (2024). The efficacy of short acquisition time using 18F-FDG total-body PET/CT for the identification of pediatric epileptic foci. EJNMMI Research. 14(1). 21–21. 2 indexed citations
7.
Duan, Yanhua, Minjie Zhao, Hui Li, et al.. (2023). The feasibility of quantitative assessment of dynamic 18F-fluorodeoxyglucose PET in Takayasu’s arteritis: a pilot study. European Journal of Nuclear Medicine and Molecular Imaging. 51(1). 81–92. 5 indexed citations
8.
Li, Kun, Jennifer A. Bartlett, Christine Wohlford-Lenane, et al.. (2023). Interleukin 13–Induced Inflammation Increases DPP4 Abundance but Does Not Enhance Middle East Respiratory Syndrome Coronavirus Replication in Airway Epithelia. The Journal of Infectious Diseases. 229(5). 1419–1429. 2 indexed citations
9.
Li, Kun, Meng Wang, Zihan Huang, et al.. (2023). ALOX5 Inhibition Protects Against Dopaminergic Neurons Undergoing Ferroptosis. SSRN Electronic Journal. 5 indexed citations
10.
Li, Kun, Xin Zhang, Wei‐Yu Lu, et al.. (2022). EIF4G1 Is a Potential Prognostic Biomarker of Breast Cancer. Biomolecules. 12(12). 1756–1756. 12 indexed citations
11.
Wang, Xiang, et al.. (2022). The role of long noncoding RNAs as regulators of the epithelial–Mesenchymal transition process in oral squamous cell carcinoma cells. Frontiers in Molecular Biosciences. 9. 942636–942636. 7 indexed citations
12.
Yu, Yang, et al.. (2021). Prediction of clinical prognosis in cutaneous melanoma using an immune-related gene pair signature. Bioengineered. 12(1). 1803–1812. 5 indexed citations
13.
Han, Bo‐Wei, Xu Yang, Shoufang Qu, et al.. (2021). A Deep-Learning Pipeline for TSS Coverage Imputation From Shallow Cell-Free DNA Sequencing. Frontiers in Medicine. 8. 684238–684238. 3 indexed citations
14.
Chen, Shihan, Kun Li, Xiaofei Wang, et al.. (2020). Low expression of organic anion-transporting polypeptide 1B3 predicts a poor prognosis in hepatocellular carcinoma. World Journal of Surgical Oncology. 18(1). 127–127. 15 indexed citations
15.
Wong, Lok-Yin Roy, Kun Li, Jing Sun, et al.. (2020). Sensitization of Non-permissive Laboratory Mice to SARS-CoV-2 with a Replication-Deficient Adenovirus Expressing Human ACE2. STAR Protocols. 1(3). 100169–100169. 12 indexed citations
16.
17.
Zhang, Qiang, Cheng Wu, Zhiqiang Chang, et al.. (2017). The characteristic landscape of lncRNAs classified by RBP–lncRNA interactions across 10 cancers. Molecular BioSystems. 13(6). 1142–1151. 20 indexed citations
18.
19.
Cui, Rui, Qingjun Lu, Kun Li, & Na Li. (2014). Chitosan promoted the corneal epithelial wound healing via activation of ERK MAPK Pathway. Investigative Ophthalmology & Visual Science. 55(13). 499–499. 1 indexed citations
20.
Li, Yuanyuan, Kun Li, Junxia Wang, & Wenyi Kang. (2012). α-Glucosidase Inhibitory and Antioxidant Activity of Ardisia crenata. Tianran chanwu yanjiu yu kaifa. 23(9). 1257. 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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