Meng-Kai Ge

419 total citations
11 papers, 278 citations indexed

About

Meng-Kai Ge is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Meng-Kai Ge has authored 11 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Oncology. Recurrent topics in Meng-Kai Ge's work include PI3K/AKT/mTOR signaling in cancer (6 papers), RNA modifications and cancer (3 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Meng-Kai Ge is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (6 papers), RNA modifications and cancer (3 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Meng-Kai Ge collaborates with scholars based in China, Thailand and Croatia. Meng-Kai Ge's co-authors include Guoqiang Chen, Shao-Ming Shen, Cheng Zhang, Xia Li, Na Zhang, Jianxiu Yu, Yan Ji, Shuo Yang, Ping He and Zhanming Li and has published in prestigious journals such as Nature Communications, Blood and Nature Cell Biology.

In The Last Decade

Meng-Kai Ge

11 papers receiving 277 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Meng-Kai Ge China	8	226	65	65	27	25	11	278
Candace J. Poole United States	7	234 1.0×	55 0.8×	51 0.8×	27 1.0×	23 0.9×	10	298
Jin Woo Park South Korea	11	357 1.6×	52 0.8×	61 0.9×	24 0.9×	26 1.0×	19	406
Markus Schick Germany	11	209 0.9×	107 1.6×	39 0.6×	41 1.5×	23 0.9×	24	320
Jan B. Heidelberger Germany	10	343 1.5×	68 1.0×	88 1.4×	27 1.0×	28 1.1×	12	406
Caila Ryan United States	9	385 1.7×	67 1.0×	51 0.8×	36 1.3×	17 0.7×	9	456
Holly Yin United States	7	218 1.0×	71 1.1×	42 0.6×	44 1.6×	15 0.6×	19	303
Danton Ivanochko Canada	7	263 1.2×	88 1.4×	38 0.6×	24 0.9×	11 0.4×	13	328
Antonella Di Costanzo Italy	10	249 1.1×	68 1.0×	77 1.2×	20 0.7×	12 0.5×	11	312
Scarlett Czarnecki United States	6	198 0.9×	62 1.0×	98 1.5×	14 0.5×	26 1.0×	10	319
Ji Shi China	10	175 0.8×	53 0.8×	90 1.4×	23 0.9×	45 1.8×	20	282

Countries citing papers authored by Meng-Kai Ge

Since Specialization

Citations

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

Fields of papers citing papers by Meng-Kai Ge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng-Kai Ge

This figure shows the co-authorship network connecting the top 25 collaborators of Meng-Kai Ge. A scholar is included among the top collaborators of Meng-Kai 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 Meng-Kai Ge. Meng-Kai 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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11 of 11 papers shown

1.

Zhang, Cheng, Hongming Ma, Shuai Wu, et al.. (2024). Secreted PTEN binds PLXDC2 on macrophages to drive antitumor immunity and tumor suppression. Developmental Cell. 59(23). 3072–3088.e8. 13 indexed citations

2.

Ge, Meng-Kai, Cheng Zhang, Na Zhang, et al.. (2023). The tRNA-GCN2-FBXO22-axis-mediated mTOR ubiquitination senses amino acid insufficiency. Cell Metabolism. 35(12). 2216–2230.e8. 33 indexed citations

3.

He, Ping, Cheng Zhang, Yanhui Ma, et al.. (2022). Epithelial cells-enriched lncRNA SNHG8 regulates chromatin condensation by binding to Histone H1s. Cell Death and Differentiation. 29(8). 1569–1581. 12 indexed citations

4.

Zhang, Cheng, Hongming Ma, Na Zhang, et al.. (2022). Furin extracellularly cleaves secreted PTENα/β to generate C-terminal fragment with a tumor-suppressive role. Cell Death and Disease. 13(6). 532–532. 5 indexed citations

5.

Yang, Shuo, Xiaona Zhu, Huilin Zhang, et al.. (2021). ANP32B-mediated repression of p53 contributes to maintenance of normal and CML stem cells. Blood. 138(24). 2485–2498. 10 indexed citations

6.

Ge, Meng-Kai, Na Zhang, Xia Li, et al.. (2020). FBXO22 degrades nuclear PTEN to promote tumorigenesis. Nature Communications. 11(1). 1720–1720. 71 indexed citations

7.

Shen, Shao-Ming, Cheng Zhang, Meng-Kai Ge, et al.. (2019). PTENα and PTENβ promote carcinogenesis through WDR5 and H3K4 trimethylation. Nature Cell Biology. 21(11). 1436–1448. 55 indexed citations

8.

Shen, Shao-Ming, Cheng Zhang, Meng-Kai Ge, et al.. (2019). Author Correction: PTENα and PTENβ promote carcinogenesis through WDR5 and H3K4 trimethylation. Nature Cell Biology. 22(1). 135–135. 3 indexed citations

9.

Shen, Shao-Ming, Yan Ji, Cheng Zhang, et al.. (2018). Nuclear PTEN safeguards pre-mRNA splicing to link Golgi apparatus for its tumor suppressive role. Nature Communications. 9(1). 2392–2392. 48 indexed citations

10.

Guo, Meng, Yun Yu, Feifei Zhang, et al.. (2016). Downregulation of AIF by HIF-1 contributes to hypoxia-induced epithelial–mesenchymal transition of colon cancer. Carcinogenesis. 37(11). 1079–1088. 21 indexed citations

11.

Yang, Xiaolei, et al.. (2016). Thrombin Maybe Plays an Important Role in MK Differentiation into Platelets. BioMed Research International. 2016. 1–11. 7 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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