Gang Hu

1.1k total citations
40 papers, 851 citations indexed

About

Gang Hu is a scholar working on Molecular Biology, Oncology and Physiology. According to data from OpenAlex, Gang Hu has authored 40 papers receiving a total of 851 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 10 papers in Oncology and 8 papers in Physiology. Recurrent topics in Gang Hu's work include Ferroptosis and cancer prognosis (5 papers), RNA modifications and cancer (5 papers) and Ubiquitin and proteasome pathways (4 papers). Gang Hu is often cited by papers focused on Ferroptosis and cancer prognosis (5 papers), RNA modifications and cancer (5 papers) and Ubiquitin and proteasome pathways (4 papers). Gang Hu collaborates with scholars based in China, United States and France. Gang Hu's co-authors include Eric R. Fearon, Jian-ying Ma, Sheng Zhang, Marc Vidal, Tian Xu, Yuexin Yang, Philippe Pagès, Marcella Reale, Jie Wei and Mei He and has published in prestigious journals such as Genes & Development, PLoS ONE and Diabetes Care.

In The Last Decade

Gang Hu

40 papers receiving 836 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gang Hu China 14 448 245 147 143 123 40 851
Shuji Kanayama Japan 18 496 1.1× 312 1.3× 134 0.9× 183 1.3× 378 3.1× 34 1.1k
Keigo Yoshinaga Japan 15 291 0.6× 320 1.3× 87 0.6× 87 0.6× 207 1.7× 33 878
Yoshitaka Konda Japan 16 385 0.9× 360 1.5× 56 0.4× 123 0.9× 315 2.6× 41 991
Tatsuya Kiyohara Japan 19 426 1.0× 242 1.0× 59 0.4× 131 0.9× 270 2.2× 28 990
Anne Bessard France 15 345 0.8× 257 1.0× 32 0.2× 64 0.4× 110 0.9× 28 909
Carlo Ganini Italy 14 341 0.8× 167 0.7× 48 0.3× 133 0.9× 104 0.8× 30 740
Fumihiko Tanioka Japan 16 345 0.8× 134 0.5× 59 0.4× 116 0.8× 105 0.9× 59 716
John F. Di Mari United States 13 371 0.8× 242 1.0× 33 0.2× 107 0.7× 178 1.4× 15 925
Monica Curto Italy 16 323 0.7× 199 0.8× 30 0.2× 115 0.8× 145 1.2× 22 829

Countries citing papers authored by Gang Hu

Since Specialization
Citations

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

Fields of papers citing papers by Gang Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Gang Hu. A scholar is included among the top collaborators of Gang 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 Gang Hu. Gang 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.
Wu, Kunyi, Christopher Cook, Liang Li, et al.. (2024). Effect of opioid receptor antagonist on mitigating tumor necrosis factor-like weak inducer of apoptosis (TWEAK)-induced apoptolysis in pemphigus pathogenesis. Journal of Autoimmunity. 149. 103307–103307. 4 indexed citations
2.
Qi, Qin, Gang Hu, Jianying Chen, et al.. (2024). Therapeutic potential of the probiotic Lactiplantibacillus plantarum BX 62 and its postbiotics in alleviating rheumatoid arthritis in mice. Current Research in Food Science. 9. 100915–100915. 3 indexed citations
3.
Ding, Li, Yuxin Fan, Jiaxing Wang, et al.. (2024). Central Lean Mass Distribution and the Risks of All-Cause and Cause-Specific Mortality in 40,283 UK Biobank Participants. Obesity Facts. 17(5). 502–512. 2 indexed citations
4.
Lin, Yajun, Weiwei Fang, Xin Zhang, et al.. (2022). Tetrandrine Citrate Suppresses Breast Cancer via Depletion of Glutathione Peroxidase 4 and Activation of Nuclear Receptor Coactivator 4-Mediated Ferritinophagy. Frontiers in Pharmacology. 13. 820593–820593. 26 indexed citations
5.
Ding, Li, Yuxin Fan, Qing He, et al.. (2022). Distribution of lean mass and mortality risk in patients with type 2 diabetes. Primary care diabetes. 16(6). 824–828. 6 indexed citations
6.
Hu, Gang, Yan Jiang, Jian-ying Ma, & Hui Zhan. (2022). Necroptosis-associated classification combined with tumor microenvironment characteristic analysis of cutaneous melanoma. Scientific Reports. 12(1). 8752–8752. 4 indexed citations
7.
Chen, Xi, Gang Hu, Li Xiong, & Qingqing Xu. (2022). Relationships of Cuproptosis-Related Genes With Clinical Outcomes and the Tumour Immune Microenvironment in Hepatocellular Carcinoma. Pathology & Oncology Research. 28. 1610558–1610558. 6 indexed citations
8.
Hu, Gang, et al.. (2020). Identification of an Autophagy-Related Signature Predicting Overall Survival for Papillary Thyroid Carcinoma. Dose-Response. 18(1). 3583348097–3583348097. 6 indexed citations
9.
Zhang, Qiongqiong, Zhiheng Liu, Liling Liu, et al.. (2020). Prebiotic Maltose Gel Can Promote the Vaginal Microbiota From BV-Related Bacteria Dominant to Lactobacillus in Rhesus Macaque. Frontiers in Microbiology. 11. 594065–594065. 14 indexed citations
11.
Hu, Pei, et al.. (2020). The Correlation between sST2 and Atrial Fibrillation and Its Clinical Significance. 4(4). 277–283. 2 indexed citations
12.
Ma, Jian-ying, Gang Hu, & Qin Liu. (2019). Prognostic Significance of the Lymphocyte-to-Monocyte Ratio in Bladder Cancer Undergoing Radical Cystectomy: A Meta-Analysis of 5638 Individuals. Disease Markers. 2019. 1–8. 27 indexed citations
13.
Ma, Jian-ying, et al.. (2018). Lymphocyte-to-monocyte ratio in pancreatic cancer: Prognostic significance and meta-analysis. Clinica Chimica Acta. 481. 142–146. 67 indexed citations
14.
Xing, Chongyun, Bin Liang, Junqing Wu, et al.. (2018). Prognostic significance of leukopenia during the induction phase in adult B cell acute lymphoblastic leukemia. Cancer Management and Research. Volume 10. 625–635. 3 indexed citations
15.
Xu, Rong, Yajun Lin, Yong‐Zhan Zhen, et al.. (2016). Recombinant adenovirus of human p66Shc inhibits MCF-7 cell proliferation. Scientific Reports. 6(1). 31534–31534. 4 indexed citations
16.
Wu, Wenjie, Jia Shi, Gang Hu, et al.. (2015). Wnt/β-catenin signaling inhibits FBXW7 expression by upregulation of microRNA-770 in hepatocellular carcinoma. Tumor Biology. 37(5). 6045–6051. 25 indexed citations
17.
Liu, Jiang, Gang Hu, Rong Xu, et al.. (2013). Rhein lysinate decreases the generation of β-amyloid in the brain tissues of Alzheimer's disease model mice by inhibiting inflammatory response and oxidative stress. Journal of Asian Natural Products Research. 15(7). 756–763. 17 indexed citations
18.
Lin, Yajun, et al.. (2013). Rhein lysinate inhibits monocyte adhesion to human umbilical vein endothelial cells by blocking p38 signaling pathway. Archives of Pharmacal Research. 36(11). 1410–1418. 5 indexed citations
19.
Chai, Yi, Bing Gu, Jinrong Qiu, et al.. (2012). The Uncoupling Protein 2 ‐866G > A Polymorphism is Associated with the Risk of Ischemic Stroke in Chinese Type 2 Diabetic Patients. CNS Neuroscience & Therapeutics. 18(8). 636–640. 6 indexed citations
20.
Hu, Gang, et al.. (1997). Mammalian homologs of seven in absentia regulate DCC via the ubiquitin–proteasome pathway. Genes & Development. 11(20). 2701–2714. 172 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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