Kun Wang

12.2k total citations · 4 hit papers
147 papers, 9.3k citations indexed

About

Kun Wang is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kun Wang has authored 147 papers receiving a total of 9.3k indexed citations (citations by other indexed papers that have themselves been cited), including 129 papers in Molecular Biology, 88 papers in Cancer Research and 15 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kun Wang's work include MicroRNA in disease regulation (69 papers), Circular RNAs in diseases (61 papers) and Cancer-related molecular mechanisms research (43 papers). Kun Wang is often cited by papers focused on MicroRNA in disease regulation (69 papers), Circular RNAs in diseases (61 papers) and Cancer-related molecular mechanisms research (43 papers). Kun Wang collaborates with scholars based in China, United States and Canada. Kun Wang's co-authors include Peifeng Li, Bo Long, Feng Shao, Hanzi Sun, Dacheng Wang, Wang Liu, Jingjin Ding, Qi Sun, Jianjin Shi and Lu‐Yu Zhou and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Kun Wang

137 papers receiving 9.3k citations

Hit Papers

Pore-forming activity and structural autoinhibition of... 2010 2026 2015 2020 2016 2016 2010 2014 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kun Wang China 44 7.8k 4.6k 1.2k 716 662 147 9.3k
Anton Jan van Zonneveld Netherlands 57 5.0k 0.6× 3.1k 0.7× 1.1k 1.0× 1.1k 1.5× 629 1.0× 211 10.6k
Anton J.G. Horrevoets Netherlands 43 4.2k 0.5× 1.8k 0.4× 1.3k 1.1× 1.1k 1.6× 431 0.7× 106 7.1k
Zhen Chen China 42 4.0k 0.5× 1.8k 0.4× 861 0.7× 411 0.6× 524 0.8× 241 6.3k
Bin Zhang China 43 6.3k 0.8× 3.4k 0.7× 1.4k 1.2× 143 0.2× 713 1.1× 177 9.1k
Reinier A. Boon Germany 40 5.8k 0.7× 4.2k 0.9× 764 0.7× 983 1.4× 319 0.5× 98 7.7k
Shusheng Wang United States 40 5.9k 0.8× 3.5k 0.8× 717 0.6× 369 0.5× 343 0.5× 108 8.3k
Min Xie United States 40 4.8k 0.6× 1.5k 0.3× 905 0.8× 1.2k 1.6× 789 1.2× 125 7.7k
Eva van Rooij Netherlands 46 10.9k 1.4× 7.9k 1.7× 559 0.5× 2.7k 3.7× 556 0.8× 92 13.9k
Qiang Wang China 41 4.9k 0.6× 3.0k 0.6× 476 0.4× 258 0.4× 732 1.1× 287 7.2k
Sarah J. George United Kingdom 52 3.0k 0.4× 2.3k 0.5× 1.3k 1.1× 1.1k 1.6× 481 0.7× 175 7.8k

Countries citing papers authored by Kun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Kun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Wang. A scholar is included among the top collaborators of Kun Wang 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 Wang. Kun Wang 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.
Zhu, Dingchao, Huaizhen Liang, Bide Tong, et al.. (2025). DDX1 methylation mediated MATR3 splicing regulates intervertebral disc degeneration by initiating chromatin reprogramming. Nature Communications. 16(1). 6153–6153. 1 indexed citations
2.
Li, Yinghui, Qian Meng, Peiyu Li, et al.. (2025). Harnessing miRNA therapeutics: a novel approach to combat heart and brain infarctions in atherosclerosis. Cell Death Discovery. 11(1). 482–482.
3.
Liu, Zhao, Yuan Gao, Kun Wang, et al.. (2025). Whole transcriptome sequencing-based identification and functional prediction of salt-tolerant-related circular RNAs in ZM-4 (Malus zumi). International Journal of Biological Macromolecules. 306(Pt 4). 141572–141572.
4.
Zhao, Yan, Kai Wang, Chun Zhao, et al.. (2024). The function of tRNA-derived small RNAs in cardiovascular diseases. Molecular Therapy — Nucleic Acids. 35(1). 102114–102114. 8 indexed citations
5.
Wang, Kun, Chun‐yang Zhang, Rui Wang, et al.. (2024). Cowpea lipid transfer protein 1 regulates plant defense by inhibiting the cysteine protease of cowpea mosaic virus. Proceedings of the National Academy of Sciences. 121(35). e2403424121–e2403424121. 7 indexed citations
6.
Li, Bo, et al.. (2024). Recent advances of PIWI‐interacting RNA in cardiovascular diseases. Clinical and Translational Medicine. 14(8). 9 indexed citations
7.
Wang, Kai, Cuiyun Liu, Bo Li, et al.. (2024). The function and therapeutic potential of transfer RNA-derived small RNAs in cardiovascular diseases: A review. Pharmacological Research. 206. 107279–107279. 6 indexed citations
8.
Ju, Jie, Kai Wang, Fang Liu, et al.. (2024). Crotonylation of NAE1 Modulates Cardiac Hypertrophy via Gelsolin Neddylation. Circulation Research. 135(8). 806–821. 9 indexed citations
9.
Wang, Ruiquan, Xinzhe Chen, Xinmin Li, & Kun Wang. (2023). Molecular therapy of cardiac ischemia–reperfusion injury based on mitochondria and ferroptosis. Journal of Molecular Medicine. 101(9). 1059–1071. 14 indexed citations
10.
Wang, Zhongyu, et al.. (2023). Advances in Point-of-Care Testing of microRNAs Based on Portable Instruments and Visual Detection. Biosensors. 13(7). 747–747. 19 indexed citations
11.
Wang, Kun, et al.. (2023). The ufmylation modification of ribosomal protein L10 in the development of pancreatic adenocarcinoma. Cell Death and Disease. 14(6). 350–350. 20 indexed citations
12.
Wang, Kai, Fuhai Li, Lu‐Yu Zhou, et al.. (2023). HNEAP Regulates Necroptosis of Cardiomyocytes by Suppressing the m5C Methylation of Atf7 mRNA. Advanced Science. 10(34). e2304329–e2304329. 19 indexed citations
13.
Niu, Kongyan, Jinyang Zhang, Dean Li, et al.. (2022). ONE-seq: epitranscriptome and gene-specific profiling of NAD-capped RNA. Nucleic Acids Research. 51(2). e12–e12. 12 indexed citations
14.
Wang, Kai, Xinzhe Chen, Yunhong Wang, et al.. (2022). Emerging roles of ferroptosis in cardiovascular diseases. Cell Death Discovery. 8(1). 394–394. 77 indexed citations
15.
Li, Gaocai, Rongjin Luo, Weifeng Zhang, et al.. (2022). m6A hypomethylation of DNMT3B regulated by ALKBH5 promotes intervertebral disc degeneration via E4F1 deficiency. Clinical and Translational Medicine. 12(3). e765–e765. 50 indexed citations
16.
Chen, Xinzhe, et al.. (2022). Pyroptosis: Role and Mechanisms in Cardiovascular Disease. Frontiers in Cardiovascular Medicine. 9. 897815–897815. 43 indexed citations
17.
Shan, Peipei, Feifei Yang, Hongzhao Qi, et al.. (2021). Alteration of MDM2 by the Small Molecule YF438 Exerts Antitumor Effects in Triple-Negative Breast Cancer. Cancer Research. 81(15). 4027–4040. 41 indexed citations
18.
Ju, Jie, Yanan Song, Xinzhe Chen, et al.. (2021). circRNA is a potential target for cardiovascular diseases treatment. Molecular and Cellular Biochemistry. 477(2). 417–430. 40 indexed citations
19.
Zhang, Meiling, et al.. (2020). Epitranscriptome analysis of COVID-19 prevention and control. 33. 1 indexed citations
20.
Wang, Kun, Zhifan Jia, Anling Zhang, et al.. (2011). Inhibitory effects of knocking down microRNA-19a and microRNA-19b on glioma cell growth in vitro. Chinese Journal of Neuromedicine. 10(4). 365–368. 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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