Yaomin Li

474 total citations
12 papers, 307 citations indexed

About

Yaomin Li is a scholar working on Molecular Biology, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yaomin Li has authored 12 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Genetics and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yaomin Li's work include Glioma Diagnosis and Treatment (7 papers), Ferroptosis and cancer prognosis (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Yaomin Li is often cited by papers focused on Glioma Diagnosis and Treatment (7 papers), Ferroptosis and cancer prognosis (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Yaomin Li collaborates with scholars based in China. Yaomin Li's co-authors include Songtao Qi, Yawei Liu, Guozhong Yi, Shengze Deng, Guanglong Huang, Wei Xiang, Ziyang Chen, Hai Wang, Yu-Ping Peng and Liang Zhao and has published in prestigious journals such as Brain, BioMed Research International and Neuro-Oncology.

In The Last Decade

Yaomin Li

12 papers receiving 306 citations

Peers

Yaomin Li
Cassandra Grello United States
Collin Dube United States
Karim Saoud United States
Myron Gibert United States
Chiaki Tsuge Ishida United States
Cassandra Grello United States
Yaomin Li
Citations per year, relative to Yaomin Li Yaomin Li (= 1×) peers Cassandra Grello

Countries citing papers authored by Yaomin Li

Since Specialization
Citations

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

Fields of papers citing papers by Yaomin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaomin Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yaomin Li. A scholar is included among the top collaborators of Yaomin Li 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 Yaomin Li. Yaomin Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Zhang, Zhi, et al.. (2024). An integrated bioinformatics analysis reveals IRF8 as a critical biomarker for immune infiltration in atherosclerosis advance. Clinical and Experimental Pharmacology and Physiology. 51(8). e13872–e13872. 1 indexed citations
2.
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
3.
Li, Yaomin, Yan‐Ru Hu, Tiantian Zhang, et al.. (2022). Suppression mechanisms on proliferation of glioma U251 cells by FePt nanoparticles through intracellular oxidative stress. Rare Metals. 41(4). 1202–1209. 7 indexed citations
4.
Gao, Lei, Jia Qian Wu, Hai Wang, et al.. (2022). LMO1 Plays an Oncogenic Role in Human Glioma Associated With NF-kB Pathway. Frontiers in Oncology. 12. 770299–770299. 3 indexed citations
5.
Li, Yaomin, Xiran Wang, Songtao Qi, et al.. (2021). Spliceosome-regulated RSRP1-dependent NF-κB activation promotes the glioblastoma mesenchymal phenotype. Neuro-Oncology. 23(10). 1693–1708. 16 indexed citations
6.
Guo, Jinglin, Guozhong Yi, Zhifeng Liu, et al.. (2019). Quantitative Proteomics Analysis Reveals Nuclear Perturbation in Human Glioma U87 Cells treated with Temozolomide. Cell Biochemistry and Function. 38(2). 185–194. 7 indexed citations
7.
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
8.
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
9.
Yang, Runwei, Jinglin Guo, Yaomin Li, et al.. (2019). The combination of two‐dimensional and three‐dimensional analysis methods contributes to the understanding of glioblastoma spatial heterogeneity. Journal of Biophotonics. 13(2). e201900196–e201900196. 12 indexed citations
10.
Li, Yaomin, Yawei Liu, Jing Ren, et al.. (2018). miR-1268a regulates ABCC1 expression to mediate temozolomide resistance in glioblastoma. Journal of Neuro-Oncology. 138(3). 499–508. 58 indexed citations
11.
Yi, Guozhong, Wei Xiang, Ziyang Chen, et al.. (2018). Identification of Key Candidate Proteins and Pathways Associated with Temozolomide Resistance in Glioblastoma Based on Subcellular Proteomics and Bioinformatical Analysis. BioMed Research International. 2018. 1–12. 37 indexed citations
12.
Deng, Shengze, Yaomin Li, Guozhong Yi, et al.. (2017). Overexpression of COX7A2 is associated with a good prognosis in patients with glioma. Journal of Neuro-Oncology. 136(1). 41–50. 14 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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