Zhuanyi Yang

1.1k total citations
39 papers, 573 citations indexed

About

Zhuanyi Yang is a scholar working on Molecular Biology, Psychiatry and Mental health and Genetics. According to data from OpenAlex, Zhuanyi Yang has authored 39 papers receiving a total of 573 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 9 papers in Psychiatry and Mental health and 8 papers in Genetics. Recurrent topics in Zhuanyi Yang's work include Epilepsy research and treatment (9 papers), Glioma Diagnosis and Treatment (7 papers) and MicroRNA in disease regulation (5 papers). Zhuanyi Yang is often cited by papers focused on Epilepsy research and treatment (9 papers), Glioma Diagnosis and Treatment (7 papers) and MicroRNA in disease regulation (5 papers). Zhuanyi Yang collaborates with scholars based in China, United States and Germany. Zhuanyi Yang's co-authors include Fang Jia-sheng, Mingyu Zhang, Tao Song, Lei Wu, Liang Yang, Dingyang Liu, Yanjin Wang, J. Li, Jinfang Liu and Jun Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Pharmacology and BMC Genomics.

In The Last Decade

Zhuanyi Yang

35 papers receiving 565 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhuanyi Yang China 12 333 205 158 153 42 39 573
Ming-Teh Chen Taiwan 14 468 1.4× 296 1.4× 128 0.8× 138 0.9× 55 1.3× 21 699
Deepa Kushwaha United States 9 422 1.3× 264 1.3× 196 1.2× 99 0.6× 58 1.4× 13 585
Hsin‐I Ma Taiwan 11 337 1.0× 146 0.7× 87 0.6× 116 0.8× 28 0.7× 18 492
Isabele Cristiana Iser Brazil 12 272 0.8× 147 0.7× 221 1.4× 140 0.9× 55 1.3× 18 641
Ryan Ward Canada 7 472 1.4× 105 0.5× 140 0.9× 272 1.8× 37 0.9× 11 667
Olinda Rebelo Portugal 16 292 0.9× 142 0.7× 148 0.9× 43 0.3× 25 0.6× 48 562
Young-Woo Sohn South Korea 9 366 1.1× 227 1.1× 154 1.0× 182 1.2× 25 0.6× 13 574
Jérôme Kroonen Belgium 13 371 1.1× 191 0.9× 332 2.1× 131 0.9× 79 1.9× 18 758
Koppany Visnyei United States 9 221 0.7× 113 0.6× 164 1.0× 164 1.1× 29 0.7× 12 497
Manuela Cominelli Italy 17 499 1.5× 254 1.2× 250 1.6× 203 1.3× 74 1.8× 33 914

Countries citing papers authored by Zhuanyi Yang

Since Specialization
Citations

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

Fields of papers citing papers by Zhuanyi Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhuanyi Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhuanyi Yang. A scholar is included among the top collaborators of Zhuanyi Yang 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 Zhuanyi Yang. Zhuanyi Yang 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.
Chen, Zhong, Kang Yang, Yu Li, et al.. (2025). Advancements in Surgical Therapies for Drug-Resistant Epilepsy: A Paradigm Shift towards Precision Care. Neurology and Therapy. 14(2). 467–490.
2.
Xu, A., Yinan Wang, Zhiwei Li, et al.. (2025). Neural networks for epilepsy detection and prediction with EEG signals: a systematic review. Artificial Intelligence Review. 59(1).
3.
Zhang, Kai, et al.. (2024). Targeting microglial GLP1R in epilepsy: A novel approach to modulate neuroinflammation and neuronal apoptosis. European Journal of Pharmacology. 981. 176903–176903. 3 indexed citations
4.
Li, Feng, Chang Zeng, Charlie W. Zhao, et al.. (2022). Migration characteristics as a prognostic factor in cerebral sparganosis. International Journal of Infectious Diseases. 117. 28–36. 5 indexed citations
5.
Zhang, Kai, et al.. (2022). Resective surgery for patients with frontal lobe diffuse low-grade glioma-related epilepsy: predictors of seizure outcomes. Therapeutic Advances in Chronic Disease. 13. 374190432–374190432. 2 indexed citations
6.
Tian, Yun, Qiong Liu, Yafang Zhou, et al.. (2022). Identification of a Novel Heterozygous Mutation in the EIF2B4 Gene Associated With Vanishing White Matter Disease. Frontiers in Bioengineering and Biotechnology. 10. 901452–901452. 2 indexed citations
7.
Dai, Yuwei, Zhuanyi Yang, Jialing Guo, et al.. (2022). Expansion of Clinical and Genetic Spectrum of DDX3X Neurodevelopmental Disorder in 23 Chinese Patients. Frontiers in Molecular Neuroscience. 15. 793001–793001. 8 indexed citations
8.
Liu, Dingyang, et al.. (2021). Lesionectomy for cerebral sparganosis and concomitant epilepsy: A case series of 15 patients. Epilepsy Research. 176. 106747–106747. 2 indexed citations
9.
Wang, Ying, et al.. (2021). miR‑135a‑5p inhibitor protects glial cells against apoptosis via targeting SIRT1 in epilepsy. Experimental and Therapeutic Medicine. 21(5). 431–431. 17 indexed citations
10.
Liu, Dingyang, et al.. (2020). Side of Lesions Predicts Surgical Outcomes in Patients With Drug-Resistant Temporal Lobe Epilepsy Secondary to Focal Cortical Dysplasia Type IIIa. Frontiers in Neurology. 11. 580221–580221. 1 indexed citations
11.
Bi, Changlong, Jinfang Liu, Mingyu Zhang, et al.. (2020). LncRNA NEAT1 promotes malignant phenotypes and TMZ resistance in glioblastoma stem cells by regulating let-7g-5p/MAP3K1 axis. Bioscience Reports. 40(10). 29 indexed citations
12.
Tang, Weiting, Li Feng, Dingyang Liu, et al.. (2020). The Role of Hippocampal Neurogenesis in ANT-DBS for LiCl-Pilocarpine-Induced Epileptic Rats. Stereotactic and Functional Neurosurgery. 99(1). 55–64. 8 indexed citations
13.
Zhang, Kai, Dingyang Liu, & Zhuanyi Yang. (2020). Prognostic Role of BRAF Mutation in Low-Grade Gliomas: Meta-analysis. World Neurosurgery. 147. 42–46. 5 indexed citations
14.
Yuan, Jian, Gang Peng, Gelei Xiao, et al.. (2020). Xanthohumol suppresses glioblastoma via modulation of Hexokinase 2 -mediated glycolysis. Journal of Cancer. 11(14). 4047–4058. 24 indexed citations
15.
Liu, Dingyang, et al.. (2019). <p>High LAMC1 expression in glioma is associated with poor prognosis</p>. OncoTargets and Therapy. Volume 12. 4253–4260. 20 indexed citations
16.
Zhang, Junmei, Ge Jia, Zhuanyi Yang, et al.. (2019). Impact of subthalamic nucleus stimulation did not differ on young-onset and older-onset Parkinson's disease: A three-year follow up. Neuroscience Letters. 705. 99–105. 2 indexed citations
17.
Li, J., et al.. (2013). PKM2 and ACVR 1C are prognostic markers for poor prognosis of gallbladder cancer. Clinical & Translational Oncology. 16(2). 200–207. 39 indexed citations
18.
Tang, Bin, Junyu Wang, Fang Jia-sheng, et al.. (2011). Expression of TNKS1 is correlated with pathologic grade and Wnt/β-catenin pathway in human astrocytomas. Journal of Clinical Neuroscience. 19(1). 139–143. 17 indexed citations
19.
Yang, Zhuanyi, Ying Wáng, Fang Jia-sheng, et al.. (2010). Expression and aberrant promoter methylation of Wnt inhibitory factor-1 in human astrocytomas. Journal of Experimental & Clinical Cancer Research. 29(1). 26–26. 28 indexed citations
20.
Zhang, Mingyu, Tao Song, Liang Yang, et al.. (2008). Nestin and CD133: valuable stem cell-specific markers for determining clinical outcome of glioma patients. Journal of Experimental & Clinical Cancer Research. 27(1). 85–85. 220 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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