Kun Zhu

603 total citations
20 papers, 337 citations indexed

About

Kun Zhu is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Kun Zhu has authored 20 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Immunology and 4 papers in Epidemiology. Recurrent topics in Kun Zhu's work include RNA modifications and cancer (4 papers), Circadian rhythm and melatonin (3 papers) and RNA Research and Splicing (3 papers). Kun Zhu is often cited by papers focused on RNA modifications and cancer (4 papers), Circadian rhythm and melatonin (3 papers) and RNA Research and Splicing (3 papers). Kun Zhu collaborates with scholars based in China, United States and Australia. Kun Zhu's co-authors include Xiang Wang, Lianyun Li, Min Wu, Yuan Zhu, Lingao Ju, Mitchell A. Lazar, Chunjie Jiang, Wenxiang Hu, Dongyin Guan and Yang Xiao and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Investigation and Genes & Development.

In The Last Decade

Kun Zhu

17 papers receiving 336 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kun Zhu China 11 204 72 54 43 35 20 337
Debanjan Bhattacharya United States 12 195 1.0× 67 0.9× 26 0.5× 53 1.2× 26 0.7× 28 342
Ankita Saini United States 9 193 0.9× 140 1.9× 31 0.6× 25 0.6× 43 1.2× 12 394
Zhanfeng Liang China 10 148 0.7× 152 2.1× 22 0.4× 22 0.5× 39 1.1× 22 370
Menghui Li China 11 228 1.1× 26 0.4× 25 0.5× 63 1.5× 16 0.5× 23 452
Kenian Liu United States 7 119 0.6× 50 0.7× 90 1.7× 47 1.1× 36 1.0× 10 333
Sandra Deliard United States 10 200 1.0× 45 0.6× 33 0.6× 54 1.3× 46 1.3× 14 373
Vanessa Delcroix United States 13 160 0.8× 44 0.6× 30 0.6× 37 0.9× 70 2.0× 17 323
Aine Brigette Henley Sweden 6 224 1.1× 35 0.5× 87 1.6× 108 2.5× 31 0.9× 6 390
Gantulga Davaakhuu Japan 9 171 0.8× 31 0.4× 75 1.4× 33 0.8× 58 1.7× 19 331
Stephen Sakuma United States 9 256 1.3× 88 1.2× 33 0.6× 31 0.7× 66 1.9× 11 409

Countries citing papers authored by Kun Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Kun Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Zhu. A scholar is included among the top collaborators of Kun Zhu 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 Zhu. Kun Zhu 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.
Peng, Yu-Ping, et al.. (2026). PFPeA exposure drives hepatoxicity and liver fibrosis via oxidative stress/Wnt5a-induced hepatocyte senescence. Journal of Hazardous Materials. 503. 141085–141085.
3.
Cheng, Hong, et al.. (2025). Structural variation-based and gene-based pangenome construction reveals untapped diversity of hexaploid wheat. Journal of genetics and genomics. 52(6). 774–785.
4.
Tackenberg, Michael C., et al.. (2025). Normal circadian period length requires repression of Npas2 by REV-ERB nuclear receptors. Cell Reports. 44(10). 116437–116437. 1 indexed citations
5.
Shen, Leiting, Kun Zhu, Sisi Yang, et al.. (2024). Key platelet genes play important roles in predicting the prognosis of sepsis. Scientific Reports. 14(1). 23530–23530. 2 indexed citations
6.
Lin, Ke, Jian‐Peng Cai, Jingxin Guo, et al.. (2024). Multi-omics landscapes reveal heterogeneity in long COVID patients characterized with enhanced neutrophil activity. Journal of Translational Medicine. 22(1). 753–753. 6 indexed citations
7.
Xiao, Yang, Kirill Batmanov, Wenxiang Hu, et al.. (2023). Hepatocytes demarcated by EphB2 contribute to the progression of nonalcoholic steatohepatitis. Science Translational Medicine. 15(682). eadc9653–eadc9653. 33 indexed citations
8.
Guan, Dongyin, Hosung Bae, Ying Chen, et al.. (2023). Hepatocyte SREBP signaling mediates clock communication within the liver. Journal of Clinical Investigation. 133(8). 15 indexed citations
9.
Zhu, Kun, Dongyin Guan, Xiao Yang, et al.. (2023). An intrinsically disordered region controlling condensation of a circadian clock component and rhythmic transcription in the liver. Molecular Cell. 83(19). 3457–3469.e7. 19 indexed citations
10.
Zhu, Kun, Xiaoyi Li, Xiaohui Zhong, et al.. (2023). Co-expression and interaction network analysis reveals dysregulated neutrophil and T-cell activation as the core mechanism associated with septic shock. Frontiers in Genetics. 14. 1132361–1132361. 4 indexed citations
11.
Hu, Wenxiang, Chunjie Jiang, Yang Xiao, et al.. (2022). Isoform-specific functions of PPARγ in gene regulation and metabolism. Genes & Development. 36(5-6). 300–312. 35 indexed citations
12.
Dou, Meng, Chenguang Ding, Kun Zhu, et al.. (2022). Immune-Related Genes for Predicting Future Kidney Graft Loss: A Study Based on GEO Database. Frontiers in Immunology. 13. 859693–859693. 7 indexed citations
13.
Wang, Ping, Yuliang Feng, Kun Zhu, et al.. (2021). In situ Chromatin Interaction Analysis Using Paired‐End Tag Sequencing. Current Protocols. 1(8). e174–e174. 14 indexed citations
14.
Hu, Wenxiang, Chunjie Jiang, Wenjian Yang, et al.. (2021). Individual-specific functional epigenomics reveals genetic determinants of adverse metabolic effects of glucocorticoids. Cell Metabolism. 33(8). 1592–1609.e7. 17 indexed citations
15.
Ju, Lingao, Yuan Zhu, Pin‐Ji Lei, et al.. (2016). TTLL12 Inhibits the Activation of Cellular Antiviral Signaling through Interaction with VISA/MAVS. The Journal of Immunology. 198(3). 1274–1284. 21 indexed citations
16.
Zhu, Kun, Pin‐Ji Lei, Lingao Ju, et al.. (2016). SPOP-containing complex regulates SETD2 stability and H3K36me3-coupled alternative splicing. Nucleic Acids Research. 45(1). 92–105. 62 indexed citations
17.
Zhu, Kun, Xiang Wang, Lingao Ju, et al.. (2015). WDR82 Negatively Regulates Cellular Antiviral Response by Mediating TRAF3 Polyubiquitination in Multiple Cell Lines. The Journal of Immunology. 195(11). 5358–5366. 14 indexed citations
18.
Wang, Xiang, Lingao Ju, Jiadong Fan, et al.. (2014). Histone H3K4 methyltransferase Mll1 regulates protein glycosylation and tunicamycin-induced apoptosis through transcriptional regulation. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1843(11). 2592–2602. 17 indexed citations
19.
Wang, Xiang, Kun Zhu, Shangze Li, et al.. (2012). MLL1, a Histone H3K4 Methyltransferase, Regulates the Expression of TNFα-mediated NF-κB Downstream Genes. Journal of Cell Science. 125(Pt 17). 4058–66. 67 indexed citations
20.
Zhu, Kun, et al.. (2000). Depression-related variables and breast self-examination in single older african-american women. Annals of Epidemiology. 10(7). 463–463. 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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