Daijun Wang

812 total citations
42 papers, 474 citations indexed

About

Daijun Wang is a scholar working on Epidemiology, Neurology and Surgery. According to data from OpenAlex, Daijun Wang has authored 42 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Epidemiology, 20 papers in Neurology and 13 papers in Surgery. Recurrent topics in Daijun Wang's work include Meningioma and schwannoma management (25 papers), Neurofibromatosis and Schwannoma Cases (13 papers) and Head and Neck Surgical Oncology (9 papers). Daijun Wang is often cited by papers focused on Meningioma and schwannoma management (25 papers), Neurofibromatosis and Schwannoma Cases (13 papers) and Head and Neck Surgical Oncology (9 papers). Daijun Wang collaborates with scholars based in China, United States and Germany. Daijun Wang's co-authors include Qing Xie, Ye Gong, Hailiang Tang, Hongda Zhu, Mingzhe Zheng, Ying Mao, Lingyang Hua, Xiancheng Chen, Hiroaki Wakimoto and Jiaojiao Deng and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Journal of neurosurgery.

In The Last Decade

Daijun Wang

40 papers receiving 471 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daijun Wang China 13 261 161 117 103 102 42 474
Lingyang Hua China 15 295 1.1× 201 1.2× 176 1.5× 114 1.1× 119 1.2× 49 586
Tetsuo Hashiba Japan 13 194 0.7× 191 1.2× 84 0.7× 80 0.8× 150 1.5× 23 440
Yugo Kishida Japan 11 116 0.4× 74 0.5× 143 1.2× 114 1.1× 142 1.4× 28 416
Shunsuke Shibao Japan 12 154 0.6× 163 1.0× 78 0.7× 124 1.2× 78 0.8× 34 385
Ralf Ketter Germany 12 193 0.7× 119 0.7× 97 0.8× 66 0.6× 286 2.8× 25 515
Cheng‐Ying Shiau Taiwan 15 143 0.5× 168 1.0× 134 1.1× 92 0.9× 211 2.1× 29 616
Samer E. Kaba United States 8 116 0.4× 155 1.0× 73 0.6× 55 0.5× 84 0.8× 11 414
Laura Ruíz Spain 6 156 0.6× 100 0.6× 110 0.9× 75 0.7× 125 1.2× 17 410
Melanie Barz Germany 14 128 0.5× 79 0.5× 70 0.6× 89 0.9× 232 2.3× 40 468
Kyoung Su Sung South Korea 12 147 0.6× 60 0.4× 45 0.4× 195 1.9× 149 1.5× 35 460

Countries citing papers authored by Daijun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Daijun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daijun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Daijun Wang. A scholar is included among the top collaborators of Daijun 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 Daijun Wang. Daijun 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.
Chen, Jiawei, Lingyang Hua, Xiupeng Xu, et al.. (2023). Identification of the Key Immune Cells and Genes for the Diagnostics and Therapeutics of Meningioma. World Neurosurgery. 176. e501–e514. 4 indexed citations
2.
Chen, Jiawei, Jiaojiao Deng, Qing Xie, et al.. (2023). The development of a combined clinico-radiomics model for predicting post-operative recurrence in atypical meningiomas: a multicenter study. Journal of Neuro-Oncology. 166(1). 59–71. 7 indexed citations
3.
Ge, Yu, Daijun Wang, Lingyang Hua, et al.. (2022). LncRNA-IMAT1 Promotes Invasion of Meningiomas by Suppressing KLF4/hsa-miR22-3p/Snai1 Pathway. Molecules and Cells. 45(6). 388–402. 7 indexed citations
4.
Hua, Lingyang, Zhongyuan Bao, Jiaojiao Deng, et al.. (2022). Distinct clinical outcome of microcystic meningioma as a WHO grade 1 meningioma subtype. Journal of Neuro-Oncology. 161(2). 193–202. 2 indexed citations
5.
Hua, Lingyang, Qian Wu, Jiaojiao Deng, et al.. (2022). Loss of H3K27me3 expression enriches in recurrent grade 1&2 meningiomas and maintains as a biomarker stratifying progression risk. Journal of Neuro-Oncology. 161(2). 267–275. 6 indexed citations
6.
Miao, Zong, Lingyang Hua, Daijun Wang, et al.. (2022). Application of MRI-Based Radiomics in Preoperative Prediction of NF2 Alteration in Intracranial Meningiomas. Frontiers in Oncology. 12. 879528–879528. 3 indexed citations
7.
Deng, Jiaojiao, Jiawei Chen, Daijun Wang, et al.. (2021). TERT Alterations Predict Tumor Progression in De Novo High-Grade Meningiomas Following Adjuvant Radiotherapy. Frontiers in Oncology. 11. 747592–747592. 4 indexed citations
8.
Chen, Jiawei, Lingyang Hua, Daijun Wang, et al.. (2021). m6A Regulator Expression Segregates Meningiomas Into Biologically Distinct Subtypes. Frontiers in Oncology. 11. 760892–760892. 4 indexed citations
9.
Wang, Daijun, Lingyang Hua, Jiaojiao Deng, et al.. (2020). Prognostic Model That Predicts Benefits of Adjuvant Radiotherapy in Patients With High Grade Meningioma. Frontiers in Oncology. 10. 568079–568079. 7 indexed citations
10.
Li, Jianguo, Jin Zhou, Shuangshuang Kai, et al.. (2020). Network‐Based Coexpression Analysis Identifies Functional and Prognostic Long Noncoding RNAs in Hepatocellular Carcinoma. BioMed Research International. 2020(1). 1371632–1371632. 1 indexed citations
11.
Hua, Lingyang, Tareq A. Juratli, Hongda Zhu, et al.. (2020). High Tumor Mitochondrial DNA Content Correlates With an Improved Patient's Outcome in WHO Grade III Meningioma. Frontiers in Oncology. 10. 542294–542294. 3 indexed citations
12.
Hua, Lingyang, Fengchun Hua, Hongda Zhu, et al.. (2019). <p>The Diagnostic Value Of Using <sup>18</sup>F-Fluorodeoxyglucose Positron Emission Tomography To Differentiate Between Low- And High-Grade Meningioma</p>. Cancer Management and Research. Volume 11. 9185–9193. 6 indexed citations
13.
Deng, Jiaojiao, Daijun Wang, Hongda Zhu, et al.. (2019). Expression and Clinical Significance of Immune Checkpoint Regulator B7-H3 (CD276) in Human Meningioma. World Neurosurgery. 135. e12–e18. 16 indexed citations
14.
Zhu, Hongda, Qing Xie, Yu Zhou, et al.. (2015). Analysis of prognostic factors and treatment of anaplastic meningioma in China. Journal of Clinical Neuroscience. 22(4). 690–695. 26 indexed citations
15.
Romani, Rossana, Weijun Tang, Ying Mao, et al.. (2014). Diffusion tensor magnetic resonance imaging for predicting the consistency of intracranial meningiomas. Acta Neurochirurgica. 156(10). 1837–1845. 34 indexed citations
16.
Tang, Hailiang, Hong Chen, Ye Gong, et al.. (2013). Clinicopathological analysis of metaplastic meningioma: report of 15 cases in Huashan Hospital.. Europe PMC (PubMed Central). 22 indexed citations
17.
Wang, Xuanchun, Ye Gong, Mingzhe Zheng, et al.. (2013). Early Changes in GMRP1 After Intracerebral Hemorrhage: Involvement in Brain Damage and Cell Apoptosis. Acta neurochirurgica. Supplementum. 118. 163–167. 2 indexed citations
18.
Zheng, Mingzhe, Ye Gong, Xuanchun Wang, et al.. (2013). Alteration of Intracellular Calcium and Its Modulator SLC24A6 After Experimental Intracerebral Hemorrhage. Acta neurochirurgica. Supplementum. 118. 169–173. 4 indexed citations
19.
20.
Li, Jiawen, et al.. (2009). Granuloma caused by Candida lipolytica in China: first case report.. Linchuang pifuke zazhi. 38(1). 9–11. 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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