Huimin Hu

4.1k total citations · 1 hit paper
71 papers, 1.8k citations indexed

About

Huimin Hu is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Huimin Hu has authored 71 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 24 papers in Genetics and 23 papers in Cancer Research. Recurrent topics in Huimin Hu's work include Glioma Diagnosis and Treatment (24 papers), MicroRNA in disease regulation (14 papers) and Ferroptosis and cancer prognosis (10 papers). Huimin Hu is often cited by papers focused on Glioma Diagnosis and Treatment (24 papers), MicroRNA in disease regulation (14 papers) and Ferroptosis and cancer prognosis (10 papers). Huimin Hu collaborates with scholars based in China, United States and Canada. Huimin Hu's co-authors include Tao Jiang, Yanwei Liu, Chuanbao Zhang, Guanzhang Li, Ruoyu Huang, Kuanyu Wang, Fan Zeng, Wei Zhang, Mingyang Li and Fan Wu and has published in prestigious journals such as PLoS ONE, Cell Metabolism and Journal of Hazardous Materials.

In The Last Decade

Huimin Hu

66 papers receiving 1.8k citations

Hit Papers

Glycometabolic reprogramming-induced XRCC1 lactylation co... 2024 2026 2025 2024 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huimin Hu China 23 769 517 462 379 378 71 1.8k
Yanhong Ni China 28 1.3k 1.7× 801 1.5× 190 0.4× 578 1.5× 467 1.2× 97 2.4k
Lynn Vitale‐Cross United States 16 824 1.1× 276 0.5× 93 0.2× 537 1.4× 174 0.5× 22 1.5k
Keiichi Isaka Japan 28 814 1.1× 575 1.1× 85 0.2× 374 1.0× 467 1.2× 116 2.5k
Eric Kenneth Parkinson United Kingdom 32 1.8k 2.3× 602 1.2× 203 0.4× 737 1.9× 370 1.0× 92 3.3k
Petro E. Petrides Germany 25 910 1.2× 350 0.7× 604 1.3× 256 0.7× 165 0.4× 84 2.0k
Eloíza H. Tajara Brazil 25 1.3k 1.7× 450 0.9× 65 0.1× 371 1.0× 194 0.5× 99 2.0k
Cheng Fang China 22 872 1.1× 607 1.2× 62 0.1× 197 0.5× 112 0.3× 57 1.4k
Dalila Lucíola Zanette Brazil 23 864 1.1× 570 1.1× 312 0.7× 220 0.6× 244 0.6× 86 1.7k
Hao‐Wei Wang United States 25 703 0.9× 351 0.7× 187 0.4× 979 2.6× 653 1.7× 87 2.4k
Gang Ding China 18 510 0.7× 181 0.4× 403 0.9× 174 0.5× 79 0.2× 41 1.2k

Countries citing papers authored by Huimin Hu

Since Specialization
Citations

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

Fields of papers citing papers by Huimin Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huimin Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Huimin Hu. A scholar is included among the top collaborators of Huimin 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 Huimin Hu. Huimin 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.
Hu, Huimin, et al.. (2025). Transaldolase 1 impacts Parkinson’s disease pathogenesis via metabolic reprogramming and autophagy-lysosomal pathway. Acta Neuropathologica Communications. 13(1). 223–223.
2.
Huang, Mingqiang, Huimin Hu, Shunyou Cai, et al.. (2024). Chemical and optical characterization of aqueous secondary organic aerosol generated by reaction of pyruvaldehyde with sodium sulfite. Atmospheric Pollution Research. 15(6). 102124–102124. 2 indexed citations
3.
Song, Siyu, et al.. (2024). NBS-Mediated C(sp2)-H Bond Chlorination of Enaminones: Using DCE as Chlorine Source. International Journal of Molecular Sciences. 25(22). 12073–12073. 1 indexed citations
4.
Li, Guanzhang, Di Wang, You Zhai, et al.. (2024). Glycometabolic reprogramming-induced XRCC1 lactylation confers therapeutic resistance in ALDH1A3-overexpressing glioblastoma. Cell Metabolism. 36(8). 1696–1710.e10. 92 indexed citations breakdown →
5.
Hu, Huimin, et al.. (2024). The impact of positive-pressure breathing apparatus on muscle fatigue of volunteer firefighter. PLoS ONE. 19(6). e0305599–e0305599. 1 indexed citations
7.
Machado, Eda, Diantha van de Vlekkert, Heather Sheppard, et al.. (2022). Haploinsufficiency of the lysosomal sialidase NEU1 results in a model of pleomorphic rhabdomyosarcoma in mice. Communications Biology. 5(1). 992–992. 6 indexed citations
8.
Chang, Yuanhao, Ruoyu Huang, You Zhai, et al.. (2021). A potentially effective drug for patients with recurrent glioma: sermorelin. Annals of Translational Medicine. 9(5). 406–406. 4 indexed citations
9.
Chang, Yuanhao, Guanzhang Li, You Zhai, et al.. (2020). Redox Regulator GLRX Is Associated With Tumor Immunity in Glioma. Frontiers in Immunology. 11. 580934–580934. 21 indexed citations
10.
Wang, Pengfei, Zefeng Wang, Zefeng Wang, et al.. (2018). Identification and Biological Evaluation of Novel Type II B‐RafV600E Inhibitors. ChemMedChem. 13(23). 2558–2566. 7 indexed citations
11.
Wang, Zhiliang, Zheng Wang, Chuanbao Zhang, et al.. (2018). Genetic and clinical characterization of B7‐H3 (CD276) expression and epigenetic regulation in diffuse brain glioma. Cancer Science. 109(9). 2697–2705. 78 indexed citations
12.
Li, Guanzhang, Zhiliang Wang, Chuanbao Zhang, et al.. (2018). MEGF10, a Glioma Survival-Associated Molecular Signature, Predicts IDH Mutation Status. Disease Markers. 2018. 1–8. 9 indexed citations
13.
Li, Guanzhang, Zheng Wang, Chuanbao Zhang, et al.. (2017). Molecular and clinical characterization of TIM-3 in glioma through 1,024 samples. OncoImmunology. 6(8). e1328339–e1328339. 109 indexed citations
14.
Wang, Zefeng, et al.. (2017). Design of potent B‐RafV600E inhibitors by multiple copy simulation search strategy. Chemical Biology & Drug Design. 91(2). 567–574. 7 indexed citations
15.
Zhou, Jinglin, et al.. (2017). A pilot study of the metabolomic profiles of saliva from female orthodontic patients with external apical root resorption. Clinica Chimica Acta. 478. 188–193. 16 indexed citations
16.
Zhang, Wenlong, Wenlong Zhang, Yanwei Liu, et al.. (2015). ALDH1A3: A Marker of Mesenchymal Phenotype in Gliomas Associated with Cell Invasion. PLoS ONE. 10(11). e0142856–e0142856. 34 indexed citations
17.
Hu, Huimin, Zheng Wang, Yanwei Liu, et al.. (2014). Genome-wide transcriptional analyses of Chinese patients reveal cell migration is attenuated in IDH1-mutant glioblastomas. Cancer Letters. 357(2). 566–574. 22 indexed citations
18.
Ding, Caifei, et al.. (2014). Circulating microRNAs in patients with polycystic ovary syndrome. Human Fertility. 18(1). 22–29. 65 indexed citations
19.
Ding, Li, et al.. (2012). An experimental study on the ergonomics indices of partial pressure suits. Applied Ergonomics. 44(3). 393–403. 5 indexed citations
20.
Gao, Xiang, Lianghu Huang, Fabrizio Grosjean, et al.. (2011). Low-protein diet supplemented with ketoacids reduces the severity of renal disease in 5/6 nephrectomized rats: a role for KLF15. Kidney International. 79(9). 987–996. 60 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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