Changbin Ke

419 total citations
31 papers, 322 citations indexed

About

Changbin Ke is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Changbin Ke has authored 31 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 17 papers in Physiology and 10 papers in Cellular and Molecular Neuroscience. Recurrent topics in Changbin Ke's work include Pain Mechanisms and Treatments (13 papers), RNA modifications and cancer (7 papers) and Ion channel regulation and function (6 papers). Changbin Ke is often cited by papers focused on Pain Mechanisms and Treatments (13 papers), RNA modifications and cancer (7 papers) and Ion channel regulation and function (6 papers). Changbin Ke collaborates with scholars based in China and United States. Changbin Ke's co-authors include Feng Gao, Yuke Tian, Xuebi Tian, Huilian Bu, Antentor Hinton, Fei Cao, Wensheng He, Dai Shi, Zhi‐Jun Pei and Hui Yang and has published in prestigious journals such as Scientific Reports, Brain Research and Biochemical and Biophysical Research Communications.

In The Last Decade

Changbin Ke

30 papers receiving 319 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Changbin Ke China 10 142 141 76 47 39 31 322
Nguyen Huu Tu United States 11 113 0.8× 113 0.8× 77 1.0× 28 0.6× 38 1.0× 21 430
Jinxuan Ren China 11 94 0.7× 120 0.9× 64 0.8× 22 0.5× 29 0.7× 18 291
Shibin Du United States 11 268 1.9× 168 1.2× 150 2.0× 58 1.2× 35 0.9× 15 444
Shangzhou Xia United States 10 136 1.0× 134 1.0× 76 1.0× 38 0.8× 38 1.0× 13 324
Lucia López Juárez Spain 8 223 1.6× 91 0.6× 123 1.6× 24 0.5× 33 0.8× 9 331
Jian‐Gang Luo China 8 137 1.0× 97 0.7× 53 0.7× 32 0.7× 21 0.5× 12 344
Jeffrey Chen United States 9 103 0.7× 147 1.0× 64 0.8× 13 0.3× 27 0.7× 21 381
Amanda Baines United Kingdom 7 199 1.4× 96 0.7× 50 0.7× 7 0.1× 37 0.9× 15 320
Juliane Vaxelaire Switzerland 6 197 1.4× 79 0.6× 69 0.9× 16 0.3× 83 2.1× 6 347

Countries citing papers authored by Changbin Ke

Since Specialization
Citations

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

Fields of papers citing papers by Changbin Ke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changbin Ke

This figure shows the co-authorship network connecting the top 25 collaborators of Changbin Ke. A scholar is included among the top collaborators of Changbin 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 Changbin Ke. Changbin 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.
Gao, Yan, et al.. (2024). MHC-I in the hippocampus promotes comorbid depressive symptoms in bone cancer pain via the upregulation of microglial TREM2/DAP12 signaling. Behavioural Brain Research. 461. 114843–114843. 4 indexed citations
2.
Yang, Min, Xueqin Xu, Yan Gao, et al.. (2024). Thrombospondin 4, a mediator and candidate indicator of pain. European Journal of Cell Biology. 103(2). 151395–151395. 3 indexed citations
3.
Wang, Linhan, Xueqin Xu, Biyun Li, et al.. (2024). AIM2 promotes excitatory glutamate receptor expression by inhibiting STING and contributes to bone cancer pain in male mice. Scientific Reports. 14(1). 31851–31851. 1 indexed citations
4.
Zhang, Yaohua, Xu‐Sheng Liu, Yan Gao, et al.. (2023). SFXN1 as a potential diagnostic and prognostic biomarker of LUAD is associated with 18F-FDG metabolic parameters. Lung Cancer. 188. 107449–107449. 5 indexed citations
5.
6.
Gao, Yan, Lingling Yuan, Changbin Ke, et al.. (2023). Caprin-1 plays a role in cell proliferation and Warburg metabolism of esophageal carcinoma by regulating METTL3 and WTAP. Journal of Translational Medicine. 21(1). 159–159. 10 indexed citations
7.
Li, Yang, et al.. (2023). Neuroligins facilitate the development of bone cancer pain via regulating synaptic transmission: an experimental study. Brazilian Journal of Anesthesiology (English Edition). 74(4). 744422–744422. 1 indexed citations
8.
9.
Gao, Yan, Lingling Yuan, Jing Zeng, et al.. (2022). eIF6 is potential diagnostic and prognostic biomarker that associated with 18F-FDG PET/CT features and immune signatures in esophageal carcinoma. Journal of Translational Medicine. 20(1). 303–303. 10 indexed citations
10.
Liu, Xiaoyu, Yan Gao, Xu‐Sheng Liu, et al.. (2022). High expression of HNRNPR in ESCA combined with 18F-FDG PET/CT metabolic parameters are novel biomarkers for preoperative diagnosis of ESCA. Journal of Translational Medicine. 20(1). 450–450. 6 indexed citations
11.
Yang, Zeyong, et al.. (2022). Differential epitranscriptome and proteome modulation in the brain of neonatal mice exposed to isoflurane or sevoflurane. Cell Biology and Toxicology. 39(5). 2133–2148. 9 indexed citations
12.
Yuan, Lingling, Yan Gao, Xu‐Sheng Liu, et al.. (2021). 18F-FDG PET/CT metabolic parameters correlate with EIF2S2 expression status in colorectal cancer. Journal of Cancer. 12(19). 5838–5847. 9 indexed citations
13.
Chen, Xiaping, et al.. (2021). Neuroligin1 Contributes to Neuropathic Pain by Promoting Phosphorylation of Cofilin in Excitatory Neurons. Frontiers in Molecular Neuroscience. 14. 640533–640533. 7 indexed citations
14.
Li, Yang, et al.. (2021). Electrophysiological Properties of Substantia Gelatinosa Neurons in the Preparation of a Slice of Middle-Aged Rat Spinal Cord. Frontiers in Aging Neuroscience. 13. 640265–640265. 3 indexed citations
15.
Zhang, Xiaofei, Xiaohui Li, Yang Li, et al.. (2020). Shank3 contributes to neuropathic pain by facilitating the SNI-dependent increase of HCN2 and the expression of PSD95. Neuroscience Research. 166. 34–41. 2 indexed citations
16.
Huang, Xiaoxia, Jinyuan Li, Jin Xie, et al.. (2018). Neuronal complement cascade drives bone cancer pain via C3R mediated microglial activation. Brain Research. 1698. 81–88. 8 indexed citations
17.
Shi, Ruoshi, et al.. (2017). Recombinant protein transduction domain-Cu/Zn superoxide dismutase alleviates bone cancer pain via peroxiredoxin 4 modulation and antioxidation. Biochemical and Biophysical Research Communications. 486(4). 1143–1148. 10 indexed citations
18.
Ke, Changbin, Xiaoxia Huang, Fei Cao, et al.. (2013). Protocadherin20 promotes excitatory synaptogenesis in dorsal horn and contributes to bone cancer pain. Neuropharmacology. 75. 181–190. 31 indexed citations
19.
Bu, Huilian, Bin Shu, Feng Gao, et al.. (2013). Spinal IFN-γ-induced protein-10 (CXCL10) mediates metastatic breast cancer-induced bone pain by activation of microglia in rat models. Breast Cancer Research and Treatment. 143(2). 255–263. 72 indexed citations
20.
Li, Yuantao, et al.. (2007). The effect of nitrous oxide and isoflurane on the total RNA yield from the cochlea of the rats. Journal of Huazhong University of Science and Technology [Medical Sciences]. 27(5). 614–616. 2 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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