G. Hu

6.7k total citations
33 papers, 672 citations indexed

About

G. Hu is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, G. Hu has authored 33 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 11 papers in Molecular Biology and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in G. Hu's work include Lung Cancer Treatments and Mutations (7 papers), Head and Neck Cancer Studies (7 papers) and MicroRNA in disease regulation (4 papers). G. Hu is often cited by papers focused on Lung Cancer Treatments and Mutations (7 papers), Head and Neck Cancer Studies (7 papers) and MicroRNA in disease regulation (4 papers). G. Hu collaborates with scholars based in China, United States and Saudi Arabia. G. Hu's co-authors include Guoxian Long, Qi Mei, Guoqing Hu, Linli Zhang, Wei Sun, Lin Yang, Dongbo Liu, Yu Huang, Min Luo and Xianglin Yuan and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and IEEE Transactions on Power Electronics.

In The Last Decade

G. Hu

30 papers receiving 671 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Hu China 14 334 274 181 130 115 33 672
Guoxian Long China 15 291 0.9× 289 1.1× 217 1.2× 128 1.0× 108 0.9× 35 661
Ye Tian China 18 191 0.6× 382 1.4× 246 1.4× 64 0.5× 229 2.0× 79 867
Quanquan Sun China 17 246 0.7× 439 1.6× 361 2.0× 185 1.4× 151 1.3× 47 860
Yongtian Lu China 12 131 0.4× 277 1.0× 260 1.4× 42 0.3× 108 0.9× 36 641
Francisco Hermida‐Prado Spain 15 187 0.6× 278 1.0× 135 0.7× 61 0.5× 80 0.7× 30 515
Weineng Feng China 13 347 1.0× 207 0.8× 152 0.8× 28 0.2× 320 2.8× 50 646
Min-Sik Kim South Korea 10 126 0.4× 317 1.2× 304 1.7× 142 1.1× 87 0.8× 15 695
Pingqing Tan China 13 105 0.3× 460 1.7× 300 1.7× 36 0.3× 53 0.5× 27 641

Countries citing papers authored by G. Hu

Since Specialization
Citations

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

Fields of papers citing papers by G. Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Hu

This figure shows the co-authorship network connecting the top 25 collaborators of G. Hu. A scholar is included among the top collaborators of G. Hu 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 G. Hu. G. Hu 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.
Yuan, Ye, Li Ma, Long Li, et al.. (2024). Inhibition of TGFβ1 activation prevents radiation‐induced lung fibrosis. Clinical and Translational Medicine. 14(1). e1546–e1546. 11 indexed citations
2.
Sun, Ying, Ye‐Lin Liang, Liangfang Shen, et al.. (2024). PD-1 blockade with camrelizumab after chemoradiotherapy in nasopharyngeal carcinoma.. Journal of Clinical Oncology. 42(23_suppl). 129–129. 1 indexed citations
3.
Qian, Yong, Ren Zhang, G. Hu, et al.. (2024). Surface aging mechanism and insulation degradation causes of epoxy/anhydride/SiO2 composite materials for current transformers in switchgear. Engineering Failure Analysis. 169. 109184–109184. 2 indexed citations
4.
Ma, Jun, Ying Sun, Ye‐Lin Liang, et al.. (2024). Adjuvant PD-1 blockade with camrelizumab in high-risk locoregionally advanced nasopharyngeal carcinoma (DIPPER): A multicenter, open-label, phase 3, randomized controlled trial.. Journal of Clinical Oncology. 42(17_suppl). LBA6000–LBA6000. 13 indexed citations
5.
Zhang, Jian, et al.. (2023). Equivalent 2-D FEA Modeling Method for AC Loss Analysis of High-Speed Electrical Machines With Litz Winding Considering Incomplete Transposition. IEEE Transactions on Magnetics. 59(11). 1–6. 2 indexed citations
6.
7.
Jin, Yu, Yalin Kang, Minghuan Wang, et al.. (2022). Targeting polarized phenotype of microglia via IL6/JAK2/STAT3 signaling to reduce NSCLC brain metastasis. Signal Transduction and Targeted Therapy. 7(1). 52–52. 110 indexed citations
8.
Jin, Yu, Yalin Kang, Xiaohong Peng, et al.. (2021). Irradiation-Induced Activated Microglia Affect Brain Metastatic Colonization of NSCLC Cells via miR-9/CDH1 Axis. OncoTargets and Therapy. Volume 14. 1911–1922. 7 indexed citations
9.
Sun, Wei, Meng Gao, G. Hu, & Xun Yuan. (2020). <p>Inflammatory Marker Predicts Outcome of Oral Squamous Cell Carcinoma Receiving Chemo-Radiotherapy</p>. Cancer Management and Research. Volume 12. 12329–12335. 3 indexed citations
10.
Wu, Cheng, Jun Ming, Wei Sun, et al.. (2020). Radiation-Induced DNMT3B Promotes Radioresistance in Nasopharyngeal Carcinoma through Methylation of p53 and p21. Molecular Therapy — Oncolytics. 17. 306–319. 38 indexed citations
11.
Wang, Dingkun, Cheng Wu, Dongbo Liu, et al.. (2019). Ginsenoside Rg3 Inhibits Migration and Invasion of Nasopharyngeal Carcinoma Cells and Suppresses Epithelial Mesenchymal Transition. BioMed Research International. 2019. 1–11. 23 indexed citations
12.
Long, Guoxian, Wenhua Tang, Linli Zhang, et al.. (2019). Pre-treatment Serum Lactate Dehydrogenase Predicts Distant Metastasis and Poor Survival in Nasopharyngeal Carcinoma. Journal of Cancer. 10(16). 3657–3664. 20 indexed citations
13.
Li, Jing, Yang Tang, Liu Huang, et al.. (2016). Genetic Variants in the p14ARF/MDM2/TP53 Pathway Are Associated with the Prognosis of Esophageal Squamous Cell Carcinoma Patients Treated with Radical Resection. PLoS ONE. 11(7). e0158613–e0158613. 5 indexed citations
14.
15.
Zou, Yanmei, G. Hu, Tao Lu, et al.. (2014). Hypoxia-induced autophagy contributes to radioresistance via c-Jun-mediated Beclin1 expression in lung cancer cells. Journal of Huazhong University of Science and Technology [Medical Sciences]. 34(5). 761–767. 39 indexed citations
16.
Liu, Dongbo, G. Hu, Guoxian Long, et al.. (2012). Celecoxib induces apoptosis and cell-cycle arrest in nasopharyngeal carcinoma cell lines via inhibition of STAT3 phosphorylation. Acta Pharmacologica Sinica. 33(5). 682–690. 46 indexed citations
17.
Wu, Huanlei, Li Xu, Jigui Chen, et al.. (2012). Association of estrogen receptor betavariants and serum levels of estradiol with risk of colorectal cancer: a case control study. BMC Cancer. 12(1). 276–276. 18 indexed citations
18.
Liu, Dongbo, Haifeng Lu, Guoxian Long, et al.. (2012). Decreased expression of the carboxyl terminus of heat shock cognate 70 interacting protein in human gastric cancer and its clinical significance. Oncology Reports. 28(4). 1392–1398. 20 indexed citations
19.
Li, Qianxia, Huanlei Wu, Bei Chen, et al.. (2012). SNPs in the TGF-β Signaling Pathway Are Associated with Increased Risk of Brain Metastasis in Patients with Non–Small-Cell Lung Cancer. PLoS ONE. 7(12). e51713–e51713. 28 indexed citations
20.
Qiu, Hong, G. Hu, & Huihua Xiong. (2011). Establishment and characterization of chronic-hypoxia-resistant gastric cancer cell line MNK45/HYP. Journal of Huazhong University of Science and Technology [Medical Sciences]. 31(1). 52–57. 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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