Chao Ke

1.3k total citations
52 papers, 838 citations indexed

About

Chao Ke is a scholar working on Genetics, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Chao Ke has authored 52 papers receiving a total of 838 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Genetics, 13 papers in Pulmonary and Respiratory Medicine and 13 papers in Oncology. Recurrent topics in Chao Ke's work include Glioma Diagnosis and Treatment (20 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Brain Metastases and Treatment (6 papers). Chao Ke is often cited by papers focused on Glioma Diagnosis and Treatment (20 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Brain Metastases and Treatment (6 papers). Chao Ke collaborates with scholars based in China, United States and Hong Kong. Chao Ke's co-authors include Xiaobing Jiang, Zhong-Ping Chen, Jian Wang, Xiaofei Lv, Ke Sai, Shijie Xu, Chengcheng Guo, Yinsheng Chen, Yin-sheng Chen and Zhenqiang He and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Advanced Drug Delivery Reviews.

In The Last Decade

Chao Ke

46 papers receiving 829 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chao Ke China 18 212 195 185 169 162 52 838
Yanhui Liu China 16 298 1.4× 244 1.3× 119 0.6× 97 0.6× 88 0.5× 101 884
Abdullah Feroze United States 19 213 1.0× 316 1.6× 224 1.2× 161 1.0× 94 0.6× 63 1.3k
Alexander F. Haddad United States 16 116 0.5× 231 1.2× 72 0.4× 143 0.8× 104 0.6× 71 797
Tao Xu China 21 527 2.5× 228 1.2× 81 0.4× 124 0.7× 208 1.3× 84 1.3k
Kenji Muro United States 15 189 0.9× 221 1.1× 46 0.2× 124 0.7× 216 1.3× 45 922
Yan Michael Li United States 12 394 1.9× 545 2.8× 218 1.2× 236 1.4× 141 0.9× 17 1.4k
Takahiro Sakuma Japan 17 299 1.4× 285 1.5× 54 0.3× 186 1.1× 80 0.5× 36 1.0k
Takayuki Inoue Japan 19 172 0.8× 285 1.5× 66 0.4× 68 0.4× 159 1.0× 63 1.3k
Todd J. Janus United States 14 233 1.1× 183 0.9× 176 1.0× 84 0.5× 220 1.4× 25 1.1k
Claire Squiban France 15 228 1.1× 249 1.3× 390 2.1× 50 0.3× 168 1.0× 21 958

Countries citing papers authored by Chao Ke

Since Specialization
Citations

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

Fields of papers citing papers by Chao Ke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Ke

This figure shows the co-authorship network connecting the top 25 collaborators of Chao Ke. A scholar is included among the top collaborators of Chao Ke 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 Chao Ke. Chao Ke 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.
Ke, Chao, Yuefeng Yu, Yuetian Yu, et al.. (2025). Genetic and Plasma Proteomic Approaches to Identify Therapeutic Targets for Graves’ Disease and Graves’ Ophthalmopathy. ImmunoTargets and Therapy. Volume 14. 87–98.
2.
3.
Zheng, Yuanyuan, Chun‐Wei Li, Chao Ke, et al.. (2024). Deubiquitinating enzyme USP28 inhibitor AZ1 alone and in combination with cisplatin for the treatment of non-small cell lung cancer. APOPTOSIS. 29(9-10). 1793–1809. 4 indexed citations
4.
Ke, Chao, et al.. (2024). Radiomics Analysis of Quantitative Maps from Synthetic MRI for Predicting Grades and Molecular Subtypes of Diffuse Gliomas. Clinical Neuroradiology. 34(4). 817–826. 6 indexed citations
5.
Li, Cong, Shaoyan Xi, Chengcheng Guo, et al.. (2023). Clinical significance of histopathological features of paired recurrent gliomas: a cohort study from a single cancer center. BMC Cancer. 23(1). 8–8. 4 indexed citations
6.
Lv, Dongming, Xiaoling Cao, Zhong Li, et al.. (2023). Targeting phenylpyruvate restrains excessive NLRP3 inflammasome activation and pathological inflammation in diabetic wound healing. Cell Reports Medicine. 4(8). 101129–101129. 84 indexed citations
7.
Han, Bing, Chao Ke, Dong Wang, et al.. (2023). A purified membrane protein from Akkermansia muciniphila blunted the sepsis-induced acute lung injury by modulation of gut microbiota in rats. International Immunopharmacology. 121. 110432–110432. 12 indexed citations
8.
Yang, Hua, Yang Xun, Chao Ke, Kensuke Tateishi, & Hua You. (2023). Extranodal lymphoma: pathogenesis, diagnosis and treatment. Molecular Biomedicine. 4(1). 29–29. 1 indexed citations
9.
Su, Changliang, Shijie Xu, Haoqiang He, et al.. (2021). Multi-parametric Z-spectral MRI may have a good performance for glioma stratification in clinical patients. European Radiology. 32(1). 101–111. 19 indexed citations
10.
Yang, Qunying, Chengcheng Guo, Xiaoping Lin, et al.. (2021). Anlotinib Alone or in Combination With Temozolomide in the Treatment of Recurrent High-Grade Glioma: A Retrospective Analysis. Frontiers in Pharmacology. 12. 804942–804942. 6 indexed citations
11.
Yu, Dayang, Yu Yan, Jiawei Tang, et al.. (2021). Application fields of kitchen waste biochar and its prospects as catalytic material: A review. The Science of The Total Environment. 810. 152171–152171. 23 indexed citations
12.
Mei, Xin, Yinsheng Chen, Fu‐Rong Chen, et al.. (2020). Association between glioblastoma cell‐derived vessels and poor prognosis of the patients. Cancer Communications. 40(5). 211–221. 15 indexed citations
13.
Ke, Chao, Yanyan Li, Jing Wang, et al.. (2020). Dual antivascular function of human fibulin‐3 variant, a potential new drug discovery strategy for glioblastoma. Cancer Science. 111(3). 940–950. 6 indexed citations
14.
Li, Cong, Yinsheng Chen, Qingping Zhang, et al.. (2020). Expression of Twist associated to microcirculation patterns of human glioma correlated with progression and survival of the patient. International review of neurobiology. 151. 201–217. 7 indexed citations
15.
Ke, Chao, Haolin Chen, Xiaofei Lv, et al.. (2019). Differentiation Between Benign and Nonbenign Meningiomas by Using Texture Analysis From Multiparametric MRI. Journal of Magnetic Resonance Imaging. 51(6). 1810–1820. 35 indexed citations
16.
Li, De‐Pei, Shijie Xu, Cong Li, et al.. (2019). Survival impacts of extent of resection and adjuvant radiotherapy for the modern management of high-grade meningiomas. Journal of Neuro-Oncology. 145(1). 125–134. 31 indexed citations
17.
Sai, Ke, Jing Zeng, Shao-Yan Xi, et al.. (2013). Neurosurgical interventions for patients with nasopharyngeal carcinoma: a single institution experience. World Journal of Surgical Oncology. 11(1). 227–227. 3 indexed citations
18.
Jiang, Xiaobing, et al.. (2012). Brain metastases from hepatocellular carcinoma: clinical features and prognostic factors. BMC Cancer. 12(1). 49–49. 39 indexed citations
19.
Ke, Chao. (2004). Folate-receptor-targeted radionuclide imaging agents. Advanced Drug Delivery Reviews. 56(8). 1143–1160. 106 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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