Guanglong Huang

652 total citations
32 papers, 398 citations indexed

About

Guanglong Huang is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, Guanglong Huang has authored 32 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Genetics, 6 papers in Molecular Biology and 6 papers in Cancer Research. Recurrent topics in Guanglong Huang's work include Glioma Diagnosis and Treatment (18 papers), Meningioma and schwannoma management (4 papers) and Ferroptosis and cancer prognosis (3 papers). Guanglong Huang is often cited by papers focused on Glioma Diagnosis and Treatment (18 papers), Meningioma and schwannoma management (4 papers) and Ferroptosis and cancer prognosis (3 papers). Guanglong Huang collaborates with scholars based in China and United States. Guanglong Huang's co-authors include Songtao Qi, Yawei Liu, Guozhong Yi, Yaomin Li, Kaishu Li, Runwei Yang, Zhiyong Li, Hai Wang, Xian Zhang and Zhiying Lin and has published in prestigious journals such as Brain, Journal of Hazardous Materials and International Journal of Hydrogen Energy.

In The Last Decade

Guanglong Huang

26 papers receiving 398 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guanglong Huang China 11 152 138 80 53 40 32 398
Jeff Burton United Kingdom 9 150 1.0× 96 0.7× 66 0.8× 69 1.3× 12 0.3× 23 402
Mingsheng Liu China 13 75 0.5× 251 1.8× 86 1.1× 24 0.5× 23 0.6× 38 533
Yu‐Chen Chen Taiwan 11 31 0.2× 170 1.2× 85 1.1× 25 0.5× 21 0.5× 17 393
Å. Haugen Norway 15 34 0.2× 123 0.9× 30 0.4× 21 0.4× 31 0.8× 42 828
Mingfa Liu China 15 35 0.2× 283 2.1× 215 2.7× 91 1.7× 23 0.6× 22 526
Samuel Goldlust United States 12 318 2.1× 136 1.0× 73 0.9× 143 2.7× 122 3.0× 40 564
Guanglong Huang China 12 76 0.5× 100 0.7× 67 0.8× 44 0.8× 36 0.9× 29 327
Hongliang Li China 9 46 0.3× 77 0.6× 23 0.3× 19 0.4× 22 0.6× 27 357
Wei‐Ren Lan China 10 55 0.4× 204 1.5× 111 1.4× 33 0.6× 31 0.8× 24 493
Nobuyoshi Sasaki Japan 11 79 0.5× 73 0.5× 48 0.6× 70 1.3× 15 0.4× 29 287

Countries citing papers authored by Guanglong Huang

Since Specialization
Citations

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

Fields of papers citing papers by Guanglong Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guanglong Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Guanglong Huang. A scholar is included among the top collaborators of Guanglong Huang 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 Guanglong Huang. Guanglong Huang 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.
Qu, Shanqiang, Zhi Ye, Qiuming Pan, et al.. (2025). Contemporary Precision Stratification and Prognostic Features of Primary Gliomas in a Southern Chinese Population. Research. 8. 1014–1014.
2.
Zhang, Xiang, et al.. (2024). Lower NO emission conditions of NH3–H2 mixtures under the oxygen-enriched premixed combustion mode. International Journal of Hydrogen Energy. 89. 570–582. 7 indexed citations
3.
Wei, Zhilong, Lei Wang, Xiang Zhang, et al.. (2024). Effects of flame impingement on the stability and NO/CO emissions of laminar premixed methane-ammonia impinging flame. International Journal of Hydrogen Energy. 83. 1078–1086. 5 indexed citations
4.
5.
Feng, Yuan, et al.. (2023). Topological arrangement of coronal segments in human callosal fibers in vivo tractography. Frontiers in Neuroanatomy. 17. 1097247–1097247. 1 indexed citations
6.
Lai, Yancheng, Hai Wang, Xian Zhang, et al.. (2023). Crosstalk between glioblastoma and tumor microenvironment drives proneural–mesenchymal transition through ligand-receptor interactions. Genes & Diseases. 11(2). 874–889. 19 indexed citations
7.
Li, Kaishu, Guanglong Huang, Ziyu Wang, et al.. (2022). IKBIP, a novel glioblastoma biomarker, maintains abnormal proliferation of tumor cells by inhibiting the ubiquitination and degradation of CDK4. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1869(1). 166571–166571. 8 indexed citations
8.
Yang, Runwei, Haojie Zheng, Zhiyong Li, et al.. (2022). Pleomorphic xanthoastrocytoma, anaplastic pleomorphic xanthoastrocytoma, and epithelioid glioblastoma: Case series with clinical characteristics, molecular features and progression relationship. Clinical Neurology and Neurosurgery. 221. 107379–107379. 8 indexed citations
9.
Que, Tianshi, Zhiyong Li, Xi Yuan, et al.. (2022). Classification of unilateral thalamic gliomas predicts tumor resection and patient's survival: a single center retrospective study. Journal of Neurosurgical Sciences. 69(1). 111–122. 2 indexed citations
10.
Lin, Rui, Yimin Xu, Yunxiao Zhang, et al.. (2022). Recycling of SLC38A1 to the plasma membrane by DSCR3 promotes acquired temozolomide resistance in glioblastoma. Journal of Neuro-Oncology. 157(1). 15–26. 6 indexed citations
11.
Que, Tianshi, Haojie Zheng, Guozhong Yi, et al.. (2021). Ventricle wall resection contributes to supramaximal resection and prognosis in SVZ-involved frontal gliomas: A single center retrospective study. Clinical Neurology and Neurosurgery. 211. 107015–107015. 5 indexed citations
12.
Li, Zhiyong, Yinghui Jin, Xiaofeng Shi, et al.. (2021). Integrated genomic and transcriptomic analysis suggests KRT18 mutation and MTAP are key genetic alterations related to the prognosis between astrocytoma and glioblastoma. Annals of Translational Medicine. 9(8). 713–713. 9 indexed citations
13.
Xiao, Xiang, et al.. (2020). The Added Value of Inflow-Based Vascular-Space-Occupancy and Diffusion-Weighted Imaging in Preoperative Grading of Gliomas. Neurodegenerative Diseases. 20(4). 123–130. 3 indexed citations
14.
Lin, Zhiying, Runwei Yang, Kaishu Li, et al.. (2020). Establishment of age group classification for risk stratification in glioma patients. BMC Neurology. 20(1). 310–310. 71 indexed citations
15.
Yi, Guozhong, Guanglong Huang, Xian Zhang, et al.. (2019). Acquired temozolomide resistance in MGMT-deficient glioblastoma cells is associated with regulation of DNA repair by DHC2. Brain. 142(8). 2352–2366. 107 indexed citations
16.
Li, Yaomin, Zhonglu Ren, Yu-Ping Peng, et al.. (2019). Classification of glioma based on prognostic alternative splicing. BMC Medical Genomics. 12(1). 165–165. 26 indexed citations
17.
Huang, Guanglong. (2008). Strain monitoring of interior bracing in deep foundation pit by FBG sensors. Chinese Journal of Geotechnical Engineering. 1 indexed citations
18.
Huang, Guanglong. (2006). Analysis on the subsidence of tunnel foundation in Nanjing Yangtze River valley flat. Shuiwen dizhi gongcheng dizhi.
19.
Huang, Guanglong, et al.. (2006). Behaviour and engineering implications of recent floodplain soft soil along lower reaches of the Yangtze River in Western Nanjing, China. Engineering Geology. 87(1-2). 48–59. 25 indexed citations
20.
Huang, Guanglong. (2004). Reliability analysis of design method of composite pile foundation according to ultimate bearing capacity of single pile. Rock and Soil Mechanics. 1 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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