Kun Yang

2.3k total citations
98 papers, 1.6k citations indexed

About

Kun Yang is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Kun Yang has authored 98 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 23 papers in Cancer Research and 20 papers in Genetics. Recurrent topics in Kun Yang's work include Glioma Diagnosis and Treatment (20 papers), Ferroptosis and cancer prognosis (14 papers) and Cancer-related molecular mechanisms research (12 papers). Kun Yang is often cited by papers focused on Glioma Diagnosis and Treatment (20 papers), Ferroptosis and cancer prognosis (14 papers) and Cancer-related molecular mechanisms research (12 papers). Kun Yang collaborates with scholars based in China, United States and Netherlands. Kun Yang's co-authors include Hongyi Liu, Yuanjie Zou, Hong Xiao, Jiu Chen, James S. Fraser, Dongming Liu, Chaoyong Xiao, Gira Bhabha, Peter E. Wright and Henry van den Bedem and has published in prestigious journals such as ACS Nano, Advanced Functional Materials and Nature Methods.

In The Last Decade

Kun Yang

95 papers receiving 1.6k 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 Yang China 25 663 339 285 247 229 98 1.6k
Eun Ho Kim South Korea 22 732 1.1× 309 0.9× 317 1.1× 254 1.0× 173 0.8× 105 1.7k
Xiaoqiang Sun China 24 692 1.0× 264 0.8× 140 0.5× 97 0.4× 97 0.4× 104 1.6k
Ming Qi China 29 1.6k 2.4× 471 1.4× 281 1.0× 55 0.2× 227 1.0× 140 3.3k
Sandeep C. Pingle United States 24 962 1.5× 698 2.1× 352 1.2× 334 1.4× 164 0.7× 52 2.3k
Dongsheng Xiong China 28 952 1.4× 311 0.9× 75 0.3× 146 0.6× 234 1.0× 106 1.9k
Pin Wang China 25 1.0k 1.6× 306 0.9× 185 0.6× 39 0.2× 116 0.5× 91 1.9k
Xudong Zhao China 30 1.9k 2.9× 556 1.6× 239 0.8× 355 1.4× 115 0.5× 139 3.7k
Guanghua Xiao United States 26 1.3k 2.0× 252 0.7× 301 1.1× 129 0.5× 168 0.7× 66 2.4k
Rossella Canese Italy 24 864 1.3× 528 1.6× 92 0.3× 35 0.1× 229 1.0× 66 2.1k
Pierre A. Robe Netherlands 31 1.4k 2.1× 745 2.2× 466 1.6× 1.0k 4.2× 360 1.6× 152 3.4k

Countries citing papers authored by Kun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Kun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Yang. A scholar is included among the top collaborators of Kun Yang 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 Yang. Kun Yang 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.
Yang, Kun, Shumin Zhang, Yunzhi Ling, et al.. (2025). Caspase-12 exhibits non-redundant functions in response to endoplasmic reticulum stress to promote GSDMD-mediated NETosis, leading to thoracic aortic dissection. Translational research. 278. 48–60. 2 indexed citations
2.
Zhang, Fan, Zhiwei Wu, Qing He, et al.. (2025). SOX4 reprograms fatty acid metabolism through the CHREBP to inhibit ferroptosis in hepatocellular carcinoma. Cell Death Discovery. 11(1). 246–246. 1 indexed citations
3.
Yang, Kun, Jinming Zhang, & Bo Xiao. (2024). Oral garlic-derived nanoparticles improve cancer immunotherapy. Acta Pharmaceutica Sinica B. 15(2). 1199–1201. 2 indexed citations
4.
Yang, Kun, et al.. (2024). Deep learning in disease vector image identification. Pest Management Science. 81(2). 527–539. 3 indexed citations
5.
Xiao, Yong, Mengjie Zhao, Ran Wang, et al.. (2024). Bulk and single-cell transcriptome revealed the metabolic heterogeneity in human glioma. Heliyon. 11(1). e41241–e41241. 2 indexed citations
6.
Yan, Dongming, et al.. (2023). The overexpression and clinical significance of TBX15 in human gliomas. Scientific Reports. 13(1). 9771–9771. 6 indexed citations
7.
Xie, Yandong, Mingxi Liu, Chang Cai, et al.. (2023). Recent progress of hydrogel-based local drug delivery systems for postoperative radiotherapy. Frontiers in Oncology. 13. 1027254–1027254. 21 indexed citations
8.
Wang, Xuefei, et al.. (2023). Environmental Cadmium Exposure Perturbs Gut Microbial Dysbiosis in Ducks. Veterinary Sciences. 10(11). 649–649. 2 indexed citations
9.
Tang, Xianglong, Zhen Wang, Yandong Xie, et al.. (2023). Radiation-Triggered Selenium-Engineered Mesoporous Silica Nanocapsules for RNAi Therapy in Radiotherapy-Resistant Glioblastoma. ACS Nano. 17(4). 4062–4076. 36 indexed citations
10.
Wang, Ran, Yong Xiao, Qi Zhou, et al.. (2023). Single-cell RNA sequencing reveals changes in glioma-associated macrophage polarization and cellular states of malignant gliomas with high AQP4 expression. Cancer Gene Therapy. 30(5). 716–726. 13 indexed citations
11.
Liu, Dongming, Jiu Chen, Honglin Ge, et al.. (2023). Structural plasticity of the contralesional hippocampus and its subfields in patients with glioma. European Radiology. 33(9). 6107–6115. 6 indexed citations
12.
Gu, Wei, Qianqian Zhao, Hong Xiao, et al.. (2022). Immunostimulant In Situ Hydrogel Improves Synergetic Radioimmunotherapy of Malignant Glioblastoma Relapse Post‐Resection. Advanced Functional Materials. 32(43). 43 indexed citations
13.
Chen, Zhi‐Min, et al.. (2022). Pyroptosis: a novel signature to predict prognosis and immunotherapy response in gliomas. Human Cell. 35(6). 1976–1992. 4 indexed citations
14.
Xu, Jinjin, Yihao Zhu, Xinhua Hu, et al.. (2022). Targeting miR-9 in Glioma Stem Cell-Derived Extracellular Vesicles: A Novel Diagnostic and Therapeutic Biomarker. Translational Oncology. 22. 101451–101451. 23 indexed citations
15.
Hu, Guanjie, Honglin Ge, Kun Yang, et al.. (2022). Altered Static and Dynamic Voxel-mirrored Homotopic Connectivity in Patients with Frontal Glioma. Neuroscience. 490. 79–88. 4 indexed citations
16.
Wang, Zhen, Yuyang Liu, Yong Xiao, et al.. (2022). Intelligent Nanoparticles With pH-Sensitive Co-Delivery of Temozolomide and siEGFR to Ameliorate Glioma Therapy. Frontiers in Genetics. 13. 921051–921051. 9 indexed citations
17.
Li, Yujuan, et al.. (2022). Protective autophagy alleviates neurotoxin-gelsenicine induced apoptosis through PERK signaling pathway in Neuro-2a cells. Toxicology. 474. 153210–153210. 4 indexed citations
18.
Yang, Kun, Hongyi Liu, Chunli Yin, et al.. (2018). A Stacked Sparse Autoencoder-Based Detector for Automatic Identification of Neuromagnetic High Frequency Oscillations in Epilepsy. IEEE Transactions on Medical Imaging. 37(11). 2474–2482. 31 indexed citations
19.
Zhang, Yansong, et al.. (2016). Characteristics of Rosai-Dorfman Disease Primarily Involved in the Central Nervous System: 3 Case Reports and Review of Literature. World Neurosurgery. 97. 58–63. 14 indexed citations
20.
Bedem, Henry van den, Gira Bhabha, Kun Yang, Peter E. Wright, & James S. Fraser. (2013). Automated identification of functional dynamic contact networks from X-ray crystallography. Nature Methods. 10(9). 896–902. 111 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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