Xiaobin Bai

584 total citations
25 papers, 424 citations indexed

About

Xiaobin Bai is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Xiaobin Bai has authored 25 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 13 papers in Genetics and 8 papers in Cancer Research. Recurrent topics in Xiaobin Bai's work include Glioma Diagnosis and Treatment (13 papers), Microtubule and mitosis dynamics (4 papers) and interferon and immune responses (3 papers). Xiaobin Bai is often cited by papers focused on Glioma Diagnosis and Treatment (13 papers), Microtubule and mitosis dynamics (4 papers) and interferon and immune responses (3 papers). Xiaobin Bai collaborates with scholars based in China and United States. Xiaobin Bai's co-authors include Maode Wang, Wanfu Xie, Jia Wang, Gaofeng Xu, Hao Liu, Yong‐Xiao Cao, Wei Wu, Jianyang Xiang, Alafate Wahafu and Maode Wang and has published in prestigious journals such as Experimental Cell Research, Cell Death and Disease and Oncotarget.

In The Last Decade

Xiaobin Bai

23 papers receiving 421 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaobin Bai China 13 240 182 86 78 58 25 424
Ganeshkumar Rajendran United States 12 445 1.9× 227 1.2× 63 0.7× 91 1.2× 20 0.3× 21 689
Ke Hui China 12 315 1.3× 160 0.9× 40 0.5× 77 1.0× 18 0.3× 21 451
Elias A. El-Habr France 14 267 1.1× 133 0.7× 128 1.5× 130 1.7× 15 0.3× 21 484
Klaudia Polak United States 5 362 1.5× 230 1.3× 38 0.4× 64 0.8× 23 0.4× 6 560
Behyar Zoghi United States 7 214 0.9× 109 0.6× 38 0.4× 55 0.7× 21 0.4× 15 483
Bert Cruys Belgium 8 324 1.4× 230 1.3× 18 0.2× 58 0.7× 39 0.7× 10 533
Maria Maddalena Angioni Italy 9 288 1.2× 106 0.6× 36 0.4× 37 0.5× 52 0.9× 26 555
Tomomi Sanomachi Japan 18 358 1.5× 109 0.6× 77 0.9× 223 2.9× 12 0.2× 27 578
Gabriel N. Valbuena United Kingdom 11 219 0.9× 132 0.7× 39 0.5× 38 0.5× 26 0.4× 13 374
Noga Gadir United States 10 696 2.9× 186 1.0× 37 0.4× 99 1.3× 41 0.7× 18 871

Countries citing papers authored by Xiaobin Bai

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobin Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaobin Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaobin Bai. A scholar is included among the top collaborators of Xiaobin Bai 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 Xiaobin Bai. Xiaobin Bai 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.
Li, Ruichun, et al.. (2024). PVT1 regulates hippocampal neuron apoptosis and inflammation in epilepsy by miR-206-3p-dependent regulation of CAMK4. General Physiology and Biophysics. 43(5). 423–434. 3 indexed citations
2.
Chen, Xiaohong, Wei Wu, Yichang Wang, et al.. (2023). Development of prognostic indicator based on NAD+ metabolism related genes in glioma. Frontiers in Surgery. 10. 1071259–1071259. 3 indexed citations
3.
Wang, Yichang, Gang Bao, Miao Zhang, et al.. (2022). CRB2 enhances malignancy of glioblastoma via activation of the NF-κB pathway. Experimental Cell Research. 414(1). 113077–113077. 7 indexed citations
4.
Xiang, Jianyang, Alafate Wahafu, Wei Wu, et al.. (2022). NEK2 enhances malignancies of glioblastoma via NIK/NF-κB pathway. Cell Death and Disease. 13(1). 58–58. 20 indexed citations
5.
Wang, Yichang, Alafate Wahafu, Wei Wu, et al.. (2021). FABP5 enhances malignancies of lower‐grade gliomas via canonical activation of NF‐κB signaling. Journal of Cellular and Molecular Medicine. 25(9). 4487–4500. 24 indexed citations
6.
Wu, Wei, Yichang Wang, Chen Niu, et al.. (2021). Retinol binding protein 1‐dependent activation of NF‐ κB signaling enhances the malignancy of non‐glioblastomatous diffuse gliomas. Cancer Science. 113(2). 517–528. 7 indexed citations
7.
Wang, Yafei, et al.. (2020). circKIF4A promotes tumorogenesis of glioma by targeting miR-139-3p to activate Wnt5a signaling. Molecular Medicine. 26(1). 29–29. 33 indexed citations
8.
Wahafu, Alafate, Wei Wu, Jianyang Xiang, et al.. (2020). Loss of PLK2 induces acquired resistance to temozolomide in GBM via activation of notch signaling. Journal of Experimental & Clinical Cancer Research. 39(1). 239–239. 22 indexed citations
9.
Luo, Wei, et al.. (2020). Correction to: MicroRNA-206 Inhibited the Progression of Glioblastoma Through BCL-2. Journal of Molecular Neuroscience. 71(1). 200–200.
10.
Wang, Jia, Jie Zuo, Maode Wang, et al.. (2019). Polo‑like kinase�4 promotes tumorigenesis and induces resistance to radiotherapy in glioblastoma. Oncology Reports. 41(4). 2159–2167. 21 indexed citations
11.
Yang, Tong, Ping Mao, Xianhai Chen, et al.. (2018). Inflammatory biomarkers in prognostic analysis for patients with glioma and the establishment of a nomogram. Oncology Letters. 17(2). 2516–2522. 28 indexed citations
12.
Bai, Xiaobin, Jia Wang, Yuchen Xie, et al.. (2017). Serine/Threonine Kinase CHEK1-Dependent Transcriptional Regulation of RAD54L Promotes Proliferation and Radio Resistance in Glioblastoma. Translational Oncology. 11(1). 140–146. 11 indexed citations
13.
Bai, Xiaobin, et al.. (2017). Betulinic acid derivative B10 inhibits glioma cell proliferation through suppression of SIRT1, acetylation of FOXO3a and upregulation of Bim/PUMA. Biomedicine & Pharmacotherapy. 92. 347–355. 28 indexed citations
14.
Wang, Jia, Yuchen Xie, Xiaobin Bai, et al.. (2017). Targeting dual specificity protein kinase TTK attenuates tumorigenesis of glioblastoma. Oncotarget. 9(3). 3081–3088. 33 indexed citations
15.
Luo, Wei, Jian Li, Xiaobin Bai, et al.. (2016). MicroRNA-206 Inhibited the Progression of Glioblastoma Through BCL-2. Journal of Molecular Neuroscience. 60(4). 531–538. 26 indexed citations
16.
Xu, Gaofeng, Maode Wang, Wanfu Xie, & Xiaobin Bai. (2014). DNA repair gene XRCC3 Thr241Met polymorphism and susceptibility to glioma: A case-control study. Oncology Letters. 8(2). 864–868. 9 indexed citations
17.
Zhou, Changdong & Xiaobin Bai. (2013). Performances of Circular Concrete Columns Confined with Lateral Pre-tensioned FRP under Axial Loads. Jiegou Gongchengshi. 1 indexed citations
18.
Xu, Gaofeng, Maode Wang, Wanfu Xie, & Xiaobin Bai. (2013). Three polymorphisms of DNA repair gene XRCC1 and the risk of glioma: a case–control study in northwest China. Tumor Biology. 35(2). 1389–1395. 12 indexed citations
19.
Xu, Gaofeng, Maode Wang, Wanfu Xie, & Xiaobin Bai. (2011). Hypoxia-Inducible Factor-1 Alpha C1772T Gene Polymorphism and Glioma Risk: A Hospital-Based Case–Control Study from China. Genetic Testing and Molecular Biomarkers. 15(6). 461–464. 16 indexed citations
20.
Liu, Hao, et al.. (2009). Hydrogen sulfide protects from intestinal ischaemia-reperfusion injury in rats. Journal of Pharmacy and Pharmacology. 61(2). 207–212. 7 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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