Qing Ke

1.7k total citations
67 papers, 1.2k citations indexed

About

Qing Ke is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Qing Ke has authored 67 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 15 papers in Oncology and 11 papers in Pathology and Forensic Medicine. Recurrent topics in Qing Ke's work include Lymphoma Diagnosis and Treatment (7 papers), Ion channel regulation and function (6 papers) and Ubiquitin and proteasome pathways (5 papers). Qing Ke is often cited by papers focused on Lymphoma Diagnosis and Treatment (7 papers), Ion channel regulation and function (6 papers) and Ubiquitin and proteasome pathways (5 papers). Qing Ke collaborates with scholars based in China, United States and Australia. Qing Ke's co-authors include Xiaohong Tan, Baoping Guo, Hong Cen, Xiaoxia Dong, Zhiguo Luo, Aiguo Shen, Li Shen, Chun Cheng, Wenjian Liu and Xiaohong Ma and has published in prestigious journals such as PLoS ONE, Neurology and The Journal of Physiology.

In The Last Decade

Qing Ke

67 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qing Ke China 21 557 230 200 163 143 67 1.2k
Stephen Leong United States 10 730 1.3× 595 2.6× 69 0.3× 174 1.1× 59 0.4× 28 1.4k
Kaiko Kunii Japan 10 624 1.1× 167 0.7× 392 2.0× 49 0.3× 46 0.3× 16 1.4k
Mayumi Kitagawa Japan 26 757 1.4× 322 1.4× 128 0.6× 113 0.7× 74 0.5× 64 1.9k
Yijun Liu China 15 624 1.1× 174 0.8× 94 0.5× 60 0.4× 21 0.1× 34 1.2k
Nicholas J. Gutowski United Kingdom 20 381 0.7× 106 0.5× 76 0.4× 190 1.2× 48 0.3× 32 1.0k
Christian Roeder Germany 12 394 0.7× 440 1.9× 413 2.1× 64 0.4× 196 1.4× 14 1.3k
Shengqing Lv China 17 573 1.0× 179 0.8× 64 0.3× 50 0.3× 56 0.4× 65 1.1k
Sarah Song Australia 16 431 0.8× 315 1.4× 60 0.3× 42 0.3× 54 0.4× 22 926
Hartmut Halfter Germany 23 886 1.6× 377 1.6× 71 0.4× 104 0.6× 45 0.3× 36 1.7k
Dan Han China 12 690 1.2× 86 0.4× 86 0.4× 33 0.2× 166 1.2× 54 1.8k

Countries citing papers authored by Qing Ke

Since Specialization
Citations

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

Fields of papers citing papers by Qing Ke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Ke

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Ke. A scholar is included among the top collaborators of Qing 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 Qing Ke. Qing 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.
Leng, Yu, Zhiwen Liu, Jun Min, et al.. (2025). METTL14 Promotes the Osteogenic Differentiation of Human Bone Marrow Stromal Cells via m6A-Dependent Stabilization of USP7 mRNA. Biochemical Genetics. 64(1). 243–261. 1 indexed citations
2.
Liu, Xiaoyan, et al.. (2023). Case report: A longitudinal study of an unusual rapidly progressive dementia case. Frontiers in Neurology. 14. 1151130–1151130. 1 indexed citations
3.
Ke, Qing, Yuezhou Li, Jia Ye, et al.. (2022). Clinical comparison and functional study of the L703P: a recurrent mutation in human SCN4A that causes sodium channel myotonia. Neuromuscular Disorders. 32(10). 811–819. 2 indexed citations
4.
Sendi, Mohammad S.E., Jing Sui, Zening Fu, et al.. (2020). Aberrant Functional Network Connectivity Transition Probability in Major Depressive Disorder. PubMed. 2020. 1493–1496. 17 indexed citations
5.
Zhao, Jianlong, Jinjie Huang, Dongmei Zhi, et al.. (2020). Functional network connectivity (FNC)-based generative adversarial network (GAN) and its applications in classification of mental disorders. Journal of Neuroscience Methods. 341. 108756–108756. 41 indexed citations
6.
Shen, Li, Min Xia, Xinzhou Deng, et al.. (2020). A lectin-based glycomic approach identifies FUT8 as a driver of radioresistance in oesophageal squamous cell carcinoma. Cellular Oncology. 43(4). 695–707. 21 indexed citations
7.
Han, Shuai, Hong Xu, Junhui Sun, et al.. (2020). Population‐Wide Duchenne Muscular Dystrophy Carrier Detection by CK and Molecular Testing. BioMed Research International. 2020(1). 8396429–8396429. 10 indexed citations
8.
Yu, Lihua, Guoping Peng, Yuan Yuan, et al.. (2020). Novel compound heterozygous of PARKIN causes early-onset Parkinson’s disease. Neuroscience Letters. 744. 135597–135597. 1 indexed citations
9.
Guo, Baoping, Xiaohong Tan, Qing Ke, & Hong Cen. (2019). Prognostic value of baseline metabolic tumor volume and total lesion glycolysis in patients with lymphoma: A meta-analysis. PLoS ONE. 14(1). e0210224–e0210224. 85 indexed citations
10.
Zhi, Dongmei, Xiaohong Ma, Luxian Lv, et al.. (2018). Abnormal Dynamic Functional Network Connectivity and Graph Theoretical Analysis in Major Depressive Disorder. PubMed. 2018. 558–561. 10 indexed citations
11.
Zhi, Dongmei, Vince D. Calhoun, Luxian Lv, et al.. (2018). Aberrant Dynamic Functional Network Connectivity and Graph Properties in Major Depressive Disorder. Frontiers in Psychiatry. 9. 339–339. 114 indexed citations
12.
Dong, Xiaoxia, Zhiguo Luo, Tiantian Liu, et al.. (2018). Identification of Integrin β1 as a Novel PAG1-Interacting Protein Involved in the Inherent Radioresistance of Human Laryngeal Carcinoma. Journal of Cancer. 9(22). 4128–4138. 11 indexed citations
13.
Shen, Li, Zhiguo Luo, Li Qiu, et al.. (2017). Enhanced expression of α2,3-linked sialic acids promotes gastric cancer cell metastasis and correlates with poor prognosis. International Journal of Oncology. 50(4). 1201–1210. 27 indexed citations
14.
Ke, Qing, Fangping He, Ping Yu, et al.. (2015). The R900S mutation in CACNA1S associated with hypokalemic periodic paralysis. Neuromuscular Disorders. 25(12). 955–958. 4 indexed citations
15.
Liu, Wenjian, Xiaohong Tan, Baoping Guo, et al.. (2014). Prognostic significance of Tet methylcytosine dioxygenase 2 (TET2) gene mutations in adult patients with acute myeloid leukemia: a meta-analysis. Leukemia & lymphoma. 55(12). 2691–2698. 37 indexed citations
17.
Deng, Shengqiong, et al.. (2013). Meta-analysis of the CYP1A2 -163C>A Polymorphism and Lung Cancer Risk. Asian Pacific Journal of Cancer Prevention. 14(5). 3155–3158. 3 indexed citations
18.
Ke, Qing, et al.. (2012). Identification of the PAG1 Gene as a Novel Target of Inherent Radioresistance in Human Laryngeal Carcinoma Cells. Cancer Biotherapy and Radiopharmaceuticals. 27(10). 678–684. 10 indexed citations
19.
Ke, Qing, et al.. (2012). Gender differences in penetrance and phenotype in hypokalemic periodic paralysis. Muscle & Nerve. 47(1). 41–45. 31 indexed citations
20.
Huang, Ye, Yonghua Liu, Ying Chen, et al.. (2008). Peripheral Nerve Lesion Induces an Up-regulation of Spy1 in Rat Spinal Cord. Cellular and Molecular Neurobiology. 29(3). 403–411. 9 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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