Maode Wang

2.8k total citations · 1 hit paper
71 papers, 1.9k citations indexed

About

Maode Wang is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Maode Wang has authored 71 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 30 papers in Genetics and 18 papers in Cancer Research. Recurrent topics in Maode Wang's work include Glioma Diagnosis and Treatment (30 papers), Microtubule and mitosis dynamics (8 papers) and Ferroptosis and cancer prognosis (6 papers). Maode Wang is often cited by papers focused on Glioma Diagnosis and Treatment (30 papers), Microtubule and mitosis dynamics (8 papers) and Ferroptosis and cancer prognosis (6 papers). Maode Wang collaborates with scholars based in China, United States and Japan. Maode Wang's co-authors include Ping Mao, Wanfu Xie, L.T. Smith, Xiaobin Bai, Ichiro Nakano, Sung-Hak Kim, Shi‐Yuan Cheng, Robert W. Sobol, Jia Wang and Panayiotis V. Benos and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

In The Last Decade

Maode Wang

69 papers receiving 1.9k citations

Hit Papers

Mesenchymal glioma stem cells are maintained by activated... 2013 2026 2017 2021 2013 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Mesenchymal glioma stem cells are maintained by activated glycolytic metabolism involving aldehyde dehydrogenase 1A3
    2013 501 citations Ping Mao, L.T. Smith et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maode Wang China 22 1.2k 768 479 461 189 71 1.9k
Chitra Venugopal Canada 21 1.1k 0.9× 483 0.6× 623 1.3× 467 1.0× 186 1.0× 94 2.0k
Yanyang Tu China 26 1.2k 1.0× 749 1.0× 288 0.6× 248 0.5× 130 0.7× 71 1.7k
Yang Jiang China 28 1.5k 1.2× 817 1.1× 379 0.8× 196 0.4× 220 1.2× 64 2.1k
Georg Karpel‐Massler Germany 36 1.9k 1.6× 785 1.0× 565 1.2× 881 1.9× 260 1.4× 103 3.1k
Yi‐Yen Lee Taiwan 22 832 0.7× 386 0.5× 624 1.3× 374 0.8× 184 1.0× 70 1.8k
Zita A. Sibenaller United States 22 955 0.8× 466 0.6× 247 0.5× 356 0.8× 252 1.3× 37 1.8k
Linda J. Metheny‐Barlow United States 21 755 0.6× 434 0.6× 377 0.8× 242 0.5× 410 2.2× 36 1.5k
Jing Ni United States 22 940 0.8× 282 0.4× 324 0.7× 320 0.7× 378 2.0× 37 1.7k
Chibo Hong United States 20 1.8k 1.5× 347 0.5× 318 0.7× 272 0.6× 140 0.7× 33 2.4k

Countries citing papers authored by Maode Wang

Since Specialization
Citations

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

Fields of papers citing papers by Maode Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maode Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Maode Wang. A scholar is included among the top collaborators of Maode Wang 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 Maode Wang. Maode Wang 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.
2.
Mao, Ping, et al.. (2023). CXCL5 promotes tumorigenesis and angiogenesis of glioblastoma via JAK-STAT/NF-κb signaling pathways. Molecular Biology Reports. 50(10). 8015–8023. 10 indexed citations
3.
Zhao, Yuanli, Yuxiang Gu, Chun‐Hua Hang, et al.. (2023). Chinese expert consensus on the management of aneurysmal subarachnoid hemorrhage-related hydrocephalus. Chinese Neurosurgical Journal. 9(1). 7–7. 3 indexed citations
4.
Chen, Xiaohong, et al.. (2023). Elucidating the Role of Pyroptosis in Lower-Grade Glioma: Development of a Novel Scoring System to Enhance Personalized Therapeutic Approaches. Journal of Molecular Neuroscience. 73(7-8). 649–663. 1 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.
8.
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
9.
Yu, Hai, et al.. (2020). E2F transcription factor 8 promotes proliferation and radioresistance in glioblastoma. Pathology - Research and Practice. 216(8). 153030–153030. 16 indexed citations
10.
Yu, Hai, et al.. (2019). RCC2 promotes proliferation and radio-resistance in glioblastoma via activating transcription of DNMT1. Biochemical and Biophysical Research Communications. 516(3). 999–1006. 21 indexed citations
11.
12.
Wahafu, Alafate, Jie Zuo, Xiaoye Guo, et al.. (2019). Combined elevation of AURKB and UBE2C predicts severe outcomes and therapy resistance in glioma. Pathology - Research and Practice. 215(10). 152557–152557. 20 indexed citations
13.
Yang, Lei, Fan Yang, Haikang Zhao, Maode Wang, & Yuelin Zhang. (2019). Circular RNA circCHFR Facilitates the Proliferation and Migration of Vascular Smooth Muscle via miR-370/FOXO1/Cyclin D1 Pathway. Molecular Therapy — Nucleic Acids. 16. 434–441. 114 indexed citations
14.
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
15.
Liu, Xin, et al.. (2014). DAPT suppresses the proliferation of human glioma cell line SHG-44. Asian Pacific Journal of Tropical Medicine. 7(7). 552–556. 14 indexed citations
16.
Jiang, Haitao, et al.. (2013). Three single nucleotide polymorphisms of the vascular endothelial growth factor ( VEGF ) gene and glioma risk in a Chinese population. Journal of International Medical Research. 41(5). 1484–1494. 12 indexed citations
17.
Zhang, Longzhou, Maode Wang, Wei Wang, & Jun Mo. (2013). Incidence and prognostic value of multiple gene promoter methylations in gliomas. Journal of Neuro-Oncology. 116(2). 349–356. 17 indexed citations
18.
Mao, Ping, L.T. Smith, Wanfu Xie, & Maode Wang. (2013). Dying endothelial cells stimulate proliferation of malignant glioma cells via a caspase 3-mediated pathway. Oncology Letters. 5(5). 1615–1620. 30 indexed citations
19.
Wang, Maode, et al.. (2005). Expression of Cathepsin B and microvascular density increases with higher grade of astrocytomas. Journal of Neuro-Oncology. 71(1). 3–7. 16 indexed citations
20.
Wang, Maode, et al.. (2005). Inhibition of cell invasion by indomethacin on glioma cell lines: in vitro study. Journal of Neuro-Oncology. 72(1). 1–9. 23 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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