Baole Zhang

636 total citations
29 papers, 436 citations indexed

About

Baole Zhang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Baole Zhang has authored 29 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Baole Zhang's work include Reproductive Biology and Fertility (4 papers), Epigenetics and DNA Methylation (4 papers) and MicroRNA in disease regulation (4 papers). Baole Zhang is often cited by papers focused on Reproductive Biology and Fertility (4 papers), Epigenetics and DNA Methylation (4 papers) and MicroRNA in disease regulation (4 papers). Baole Zhang collaborates with scholars based in China, Switzerland and Germany. Baole Zhang's co-authors include Dianshuai Gao, Ruiqin Yao, Fuxing Dong, Fulu Dong, Haibo Ni, Yinxue Xu, Linyan Huang, Shuang Zhu, Jianfeng Shao and Yue Gao and has published in prestigious journals such as Scientific Reports, Seminars in Cancer Biology and Reproduction.

In The Last Decade

Baole Zhang

27 papers receiving 430 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Baole Zhang China 13 240 98 73 72 59 29 436
Tanisha Singh India 11 355 1.5× 213 2.2× 60 0.8× 77 1.1× 38 0.6× 13 539
Maohong Cao China 14 326 1.4× 80 0.8× 117 1.6× 49 0.7× 32 0.5× 49 631
Abhishek Jauhari India 11 351 1.5× 225 2.3× 57 0.8× 78 1.1× 48 0.8× 17 535
Rômulo Sperduto Dezonne Brazil 13 198 0.8× 26 0.3× 77 1.1× 30 0.4× 84 1.4× 18 439
Vittoria Spina‐Purrello Italy 12 242 1.0× 147 1.5× 39 0.5× 41 0.6× 35 0.6× 16 458
Susana Masiá Spain 4 343 1.4× 45 0.5× 101 1.4× 37 0.5× 37 0.6× 5 486
Diede W. M. Broekaart Netherlands 14 203 0.8× 101 1.0× 124 1.7× 30 0.4× 20 0.3× 21 462
Ava Nasrolahi Iran 12 163 0.7× 71 0.7× 69 0.9× 39 0.5× 33 0.6× 27 373
Chika Seiwa Japan 14 232 1.0× 52 0.5× 89 1.2× 52 0.7× 156 2.6× 22 483

Countries citing papers authored by Baole Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Baole Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baole Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Baole Zhang. A scholar is included among the top collaborators of Baole Zhang 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 Baole Zhang. Baole Zhang 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.
Zhang, Baole, et al.. (2024). Clinical Implications of Estimating Glomerular Filtration Rate with Different Equations in Heart Failure Patients with Preserved Ejection Fraction. High Blood Pressure & Cardiovascular Prevention. 31(2). 205–213.
2.
Zhang, Chunyan, et al.. (2022). The role of triggering receptor expressed on myeloid cells-1 (TREM-1) in central nervous system diseases. Molecular Brain. 15(1). 84–84. 31 indexed citations
3.
Qin, Rui, et al.. (2022). Catalpol Ameliorates Oxidative Stress and Neuroinflammation after Traumatic Brain Injury in Rats. Neurochemical Research. 48(2). 681–695. 11 indexed citations
4.
Huang, Yimin, Baole Zhang, Verena Haage, et al.. (2021). Glial cell line‐derived neurotrophic factor increases matrix metallopeptidase 9 and 14 expression in microglia and promotes microglia‐mediated glioma progression. Journal of Neuroscience Research. 99(4). 1048–1063. 16 indexed citations
5.
Liu, Xinfeng, Chuanxi Tang, Lin Zhang, et al.. (2020). Down-Regulated CUEDC2 Increases GDNF Expression by Stabilizing CREB Through Reducing Its Ubiquitination in Glioma. Neurochemical Research. 45(12). 2915–2925. 9 indexed citations
6.
Zhang, Baole, Xiao Han, Qing Gao, et al.. (2020). Enhancer II-targeted dsRNA decreases GDNF expression via histone H3K9 trimethylation to inhibit glioblastoma progression. Brain Research Bulletin. 167. 22–32. 5 indexed citations
7.
Zhang, Baole, et al.. (2020). Crosstalk between DNA methylation and histone acetylation triggers GDNF high transcription in glioblastoma cells. Clinical Epigenetics. 12(1). 47–47. 30 indexed citations
8.
Zhang, Baole, et al.. (2018). The reversible effects of glial cell line–derived neurotrophic factor (GDNF) in the human brain. Seminars in Cancer Biology. 53. 212–222. 35 indexed citations
9.
Fan, Hongbin, Lixia Chen, Xuebin Qu, et al.. (2017). Transplanted miR-219-overexpressing oligodendrocyte precursor cells promoted remyelination and improved functional recovery in a chronic demyelinated model. Scientific Reports. 7(1). 41407–41407. 48 indexed citations
10.
Zhang, Baole, et al.. (2017). MiRNAs Mediate GDNF-Induced Proliferation and Migration of Glioma Cells. Cellular Physiology and Biochemistry. 44(5). 1923–1938. 39 indexed citations
11.
Dong, Fulu, Jiali Yu, Baole Zhang, et al.. (2015). Dynamic Changes in Occupancy of Histone Variant H2A.Z during Induced Somatic Cell Reprogramming. Stem Cells International. 2016(1). 3162363–3162363. 5 indexed citations
12.
Liu, Yaping, et al.. (2015). Role of Autophagy in Capsaicin-Induced Apoptosis in U251 Glioma Cells. Cellular and Molecular Neurobiology. 36(5). 737–743. 33 indexed citations
13.
Zhang, Baole, Haibo Ni, Jie Liu, et al.. (2014). Egr-1 participates in abnormally high gdnf gene transcription mediated by histone hyperacetylation in glioma cells. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1839(11). 1161–1169. 12 indexed citations
14.
Yu, Zhengquan, Baole Zhang, Haibo Ni, et al.. (2014). Hyperacetylation of Histone H3K9 Involved in the Promotion of Abnormally High Transcription of the gdnf Gene in Glioma Cells. Molecular Neurobiology. 50(3). 914–922. 14 indexed citations
15.
Yu, Zhengquan, Baole Zhang, Rutong Yu, et al.. (2013). Changes in Transcriptional Factor Binding Capacity Resulting from Promoter Region Methylation Induce Aberrantly High GDNF Expression in Human Glioma. Molecular Neurobiology. 48(3). 571–580. 23 indexed citations
16.
Zhang, Baole, Dianshuai Gao, & Yinxue Xu. (2013). G protein-coupled receptor 3: a key factor in the regulation of the nervous system and follicle development. Hereditas (Beijing). 35(5). 578–586. 1 indexed citations
17.
Zhang, Baole, Li Ye, Jianhua Ding, et al.. (2012). Sphingosine 1-phosphate acts as an activator for the porcine Gpr3 of constitutively active G protein-coupled receptors. Journal of Zhejiang University SCIENCE B. 13(7). 555–566. 14 indexed citations
18.
19.
Zhang, Baole, Jianhua Ding, Ye Li, et al.. (2011). The porcine Gpr3 gene: molecular cloning, characterization and expression level in tissues and cumulus–oocyte complexes during in vitro maturation. Molecular Biology Reports. 39(5). 5831–5839. 11 indexed citations
20.
Wang, Wei, Li Wang, Xia Chen, et al.. (2010). Effect of interrupted endogenous BMP/Smad signaling on growth and steroidogenesis of porcine granulosa cells. Journal of Zhejiang University SCIENCE B. 11(9). 719–727. 11 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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