Maolin Ge

682 total citations
19 papers, 240 citations indexed

About

Maolin Ge is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Maolin Ge has authored 19 papers receiving a total of 240 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 4 papers in Immunology and 4 papers in Cancer Research. Recurrent topics in Maolin Ge's work include MicroRNA in disease regulation (3 papers), Protein Degradation and Inhibitors (3 papers) and CRISPR and Genetic Engineering (3 papers). Maolin Ge is often cited by papers focused on MicroRNA in disease regulation (3 papers), Protein Degradation and Inhibitors (3 papers) and CRISPR and Genetic Engineering (3 papers). Maolin Ge collaborates with scholars based in China, United States and Switzerland. Maolin Ge's co-authors include Han Liu, Zhi Qiao, Liron Bar‐Peled, Thales Papagiannakopoulos, Jianguo Wu, Hui Lü, Yan Kong, Hua Xiao, Zhen Luo and Fang Liu and has published in prestigious journals such as The Journal of Immunology, Oncogene and FEBS Letters.

In The Last Decade

Maolin Ge

18 papers receiving 239 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maolin Ge China	9	146	49	45	32	32	19	240
Chang Niu China	8	254 1.7×	72 1.5×	28 0.6×	61 1.9×	28 0.9×	13	329
Lior Goldberg Israel	9	106 0.7×	48 1.0×	37 0.8×	53 1.7×	21 0.7×	17	198
David T. Fritz United States	12	422 2.9×	42 0.9×	30 0.7×	34 1.1×	53 1.7×	20	501
H. Yue United States	7	269 1.8×	25 0.5×	31 0.7×	30 0.9×	41 1.3×	15	374
James M. Dunleavey United States	6	159 1.1×	75 1.5×	48 1.1×	77 2.4×	16 0.5×	7	253
Thibault Verjat France	9	222 1.5×	68 1.4×	52 1.2×	107 3.3×	41 1.3×	9	368
Xiang Huang China	8	96 0.7×	76 1.6×	81 1.8×	26 0.8×	10 0.3×	28	230
Razi Quadir Netherlands	10	164 1.1×	47 1.0×	141 3.1×	52 1.6×	22 0.7×	10	337
Esther Yoon United States	9	89 0.6×	46 0.9×	20 0.4×	65 2.0×	14 0.4×	25	235

Countries citing papers authored by Maolin Ge

Since Specialization

Citations

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

Fields of papers citing papers by Maolin Ge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maolin Ge

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

All Works

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19 of 19 papers shown

Ge, Maolin, Rony Chanoch-Myers, Gerard Baquer, et al.. (2025). TMET-30. Uncovering the metabolic programs underlying malignant cell state heterogeneity in glioblastoma. Neuro-Oncology. 27(Supplement_5). v435–v435.

Ge, Maolin, et al.. (2025). Development and validation of a machine learning model for predicting vulnerable carotid plaques using routine blood biomarkers and derived indicators: insights into sex-related risk patterns. Cardiovascular Diabetology. 24(1). 326–326. 2 indexed citations

Ge, Maolin, Thales Papagiannakopoulos, & Liron Bar‐Peled. (2023). Reductive stress in cancer: coming out of the shadows. Trends in cancer. 10(2). 103–112. 25 indexed citations

Li, Dan, Wenbing Wang, Maolin Ge, et al.. (2022). A T-cell independent universal cellular therapy strategy through antigen depletion. Theranostics. 12(3). 1148–1160. 8 indexed citations

Ge, Maolin, Ting Kang, Dan Li, et al.. (2021). Deubiquitinating enzyme inhibitor alleviates cyclin A1‐mediated proteasome inhibitor tolerance in mixed‐lineage leukemia. Cancer Science. 112(6). 2287–2298. 1 indexed citations

Ge, Maolin, et al.. (2020). mTORC1‐mediated amino acid signaling is critical for cell fate determination under transplant‐induced stress. FEBS Letters. 595(4). 462–475. 3 indexed citations

Ge, Maolin, Dan Li, Zhi Qiao, et al.. (2020). Restoring MLL reactivates latent tumor suppression-mediated vulnerability to proteasome inhibitors. Oncogene. 39(36). 5888–5901. 7 indexed citations

Kong, Yan, Zhi Qiao, Georgi Z. Genchev, et al.. (2020). Integrative Analysis of Membrane Proteome and MicroRNA Reveals Novel Lung Cancer Metastasis Biomarkers. Frontiers in Genetics. 11. 1023–1023. 5 indexed citations

Ge, Maolin, Zhi Qiao, Yan Kong, et al.. (2020). Modulating proteasome inhibitor tolerance in multiple myeloma: an alternative strategy to reverse inevitable resistance. British Journal of Cancer. 124(4). 770–776. 16 indexed citations

10.

Ge, Maolin, Zhi Qiao, Yan Kong, Hui Lü, & Han Liu. (2020). Exosomes mediate intercellular transfer of non–autonomous tolerance to proteasome inhibitors in mixed‐lineage leukemia. Cancer Science. 111(4). 1279–1290. 17 indexed citations

11.

Qiao, Zhi, Yan Zhang, Maolin Ge, et al.. (2019). Cancer Cell Derived Small Extracellular Vesicles Contribute to Recipient Cell Metastasis Through Promoting HGF/c-Met Pathway*. Molecular & Cellular Proteomics. 18(8). 1619–1629. 41 indexed citations

12.

Kang, Ting, Maolin Ge, Zhen Tan, et al.. (2019). Arsenic sulfide induces RAG1-dependent DNA damage for cell killing by inhibiting NFATc3 in gastric cancer cells. Journal of Experimental & Clinical Cancer Research. 38(1). 487–487. 11 indexed citations

13.

Chen, Zhihong, Yuting Tan, Maolin Ge, et al.. (2019). MLL is required for miRNA-mediated translational repression. Cell Discovery. 5(1). 43–43. 1 indexed citations

14.

Luo, Zhen, Maolin Ge, Junbo Chen, et al.. (2017). HRS plays an important role for TLR7 signaling to orchestrate inflammation and innate immunity upon EV71 infection. PLoS Pathogens. 13(8). e1006585–e1006585. 31 indexed citations

15.

Ge, Maolin, Zhen Luo, Zhi Qiao, et al.. (2017). HERP Binds TBK1 To Activate Innate Immunity and Repress Virus Replication in Response to Endoplasmic Reticulum Stress. The Journal of Immunology. 199(9). 3280–3292. 20 indexed citations

16.

Bai, Lan, Wei Zhang, Li Tan, et al.. (2015). Hepatitis B virus hijacks CTHRC1 to evade host immunity and maintain replication. Journal of Molecular Cell Biology. 7(6). 543–556. 27 indexed citations

17.

Zhang, Yongliang, Zhiqiang Li, Qingming Shu, Lingzhi Li, & Maolin Ge. (2014). Sequential expression of cyclooxygenase-2, glutamate receptor-2, and platelet activating factor receptor in rat hippocampal neurons after fluid percussion injury. Neural Regeneration Research. 9(9). 978–978. 4 indexed citations

18.

Li, Zhiguo, et al.. (2013). Knockdown of Porcine Endogenous Retroviruses by RNA Interference in Chinese Experimental Miniature Pig Fibroblasts. Transplantation Proceedings. 45(2). 748–755. 4 indexed citations

19.

Li, Zhongjun, et al.. (2011). Genetic Prevalence of Porcine Endogenous Retrovirus in Chinese Experimental Miniature Pigs. Transplantation Proceedings. 43(7). 2762–2769. 17 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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