Menghua Ge

1.8k total citations · 1 hit paper
17 papers, 1.3k citations indexed

About

Menghua Ge is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Menghua Ge has authored 17 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Genetics and 8 papers in Cancer Research. Recurrent topics in Menghua Ge's work include Extracellular vesicles in disease (8 papers), Mesenchymal stem cell research (8 papers) and MicroRNA in disease regulation (7 papers). Menghua Ge is often cited by papers focused on Extracellular vesicles in disease (8 papers), Mesenchymal stem cell research (8 papers) and MicroRNA in disease regulation (7 papers). Menghua Ge collaborates with scholars based in China and United States. Menghua Ge's co-authors include Jianguo Xu, Qiang Shu, Guoping Zheng, Guanguan Qiu, Ruoqiong Huang, Jiangmei Wang, Yaoqin Hu, Lan-Fang Huang, Baoli Cheng and Haijiang Tong and has published in prestigious journals such as Critical Care Medicine, Composites Part B Engineering and Cell and Tissue Research.

In The Last Decade

Menghua Ge

17 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Treatment of acute respiratory distress syndrome with allogeneic adipose-derived mesenchymal stem cells: a randomized, placebo-controlled pilot study

2014 313 citations Guoping Zheng, Lan-Fang Huang et al. Respiratory Research profile →

Peers

Menghua Ge

GENET

PRM

SURGE

Katarina LeBlanc Sweden

Alissa Parmelee United States

Mark Jakob Germany

Franka Luk Netherlands

Lindsay C. Davies Sweden

Satoru Otsuru United States

Soufiane Ghannam France

Nobuhiro Kamiya United States

Kerry Atkinson Australia

Katarina LeBlanc Sweden

Menghua Ge

380 ×0.6

1.0k ×1.8

GENET

126 ×0.4

160 ×0.5

PRM

471 ×1.9

SURGE

Citations per year, relative to Menghua Ge Menghua Ge (= 1×) peers Katarina LeBlanc

Countries citing papers authored by Menghua Ge

Since Specialization

Citations

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

Fields of papers citing papers by Menghua Ge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Menghua Ge

This figure shows the co-authorship network connecting the top 25 collaborators of Menghua Ge. A scholar is included among the top collaborators of Menghua 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 Menghua Ge. Menghua 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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17 of 17 papers shown

Qiu, Guanguan, Guoping Zheng, Menghua Ge, et al.. (2022). Diagnostic Potential of Plasma Extracellular Vesicle miR-483-3p and Let-7d-3p for Sepsis. Frontiers in Molecular Biosciences. 9. 814240–814240. 11 indexed citations

Wang, Jiangmei, Ruoqiong Huang, Qi Xu, et al.. (2020). Mesenchymal Stem Cell–Derived Extracellular Vesicles Alleviate Acute Lung Injury Via Transfer of miR-27a-3p*. Critical Care Medicine. 48(7). e599–e610. 110 indexed citations

Zheng, Guoping, Guanguan Qiu, Menghua Ge, et al.. (2020). miR-10a in Peripheral Blood Mononuclear Cells Is a Biomarker for Sepsis and Has Anti-Inflammatory Function. Mediators of Inflammation. 2020. 1–10. 22 indexed citations

Qiu, Guanguan, Guoping Zheng, Menghua Ge, et al.. (2019). Functional proteins of mesenchymal stem cell-derived extracellular vesicles. Stem Cell Research & Therapy. 10(1). 359–359. 151 indexed citations

Huang, Ruoqiong, Jiangmei Wang, Yaoqin Hu, et al.. (2019). Differential effects of extracellular vesicles from aging and young mesenchymal stem cells in acute lung injury. Aging. 11(18). 7996–8014. 109 indexed citations

Qiu, Guanguan, Guoping Zheng, Menghua Ge, et al.. (2018). Mesenchymal stem cell-derived extracellular vesicles affect disease outcomes via transfer of microRNAs. Stem Cell Research & Therapy. 9(1). 320–320. 229 indexed citations

Zheng, Guoping, Ruoqiong Huang, Guanguan Qiu, et al.. (2018). Mesenchymal stromal cell-derived extracellular vesicles: regenerative and immunomodulatory effects and potential applications in sepsis. Cell and Tissue Research. 374(1). 1–15. 113 indexed citations

Zhang, Kai, Menghua Ge, Cheng Zhao, Zichen Deng, & Xiaojian Xu. (2018). Free vibration of nonlocal Timoshenko beams made of functionally graded materials by Symplectic method. Composites Part B Engineering. 156. 174–184. 64 indexed citations

Chen, Lina, et al.. (2017). Monocytic cell junction proteins serve important roles in atherosclerosis via the endoglin pathway. Molecular Medicine Reports. 16(5). 6750–6756. 6 indexed citations

10.

Zheng, Guoping, Guanguan Qiu, Menghua Ge, et al.. (2017). Human adipose-derived mesenchymal stem cells alleviate obliterative bronchiolitis in a murine model via IDO. Respiratory Research. 18(1). 119–119. 21 indexed citations

11.

Qiu, Guanguan, Guoping Zheng, Menghua Ge, et al.. (2017). Adipose-derived mesenchymal stem cells modulate CD14++CD16+ expression on monocytes from sepsis patients in vitro via prostaglandin E2. Stem Cell Research & Therapy. 8(1). 25 indexed citations

12.

Hu, Yaoqin, Guoping Zheng, Dengming Lai, et al.. (2016). Mesenchymal Stem Cell-Educated Macrophages Ameliorate LPS-Induced Systemic Response. Mediators of Inflammation. 2016. 1–12. 26 indexed citations

13.

Zheng, Guoping, Menghua Ge, Guanguan Qiu, Qiang Shu, & Jianguo Xu. (2015). Mesenchymal Stromal Cells Affect Disease Outcomes via Macrophage Polarization. Stem Cells International. 2015. 1–11. 73 indexed citations

14.

Chen, Lina, Fengming Qin, Menghua Ge, Qingyao Shu, & Jianguo Xu. (2014). Application of Adipose-Derived Stem Cells in Heart Disease. Journal of Cardiovascular Translational Research. 7(7). 651–663. 31 indexed citations

15.

Zheng, Guoping, Lan-Fang Huang, Haijiang Tong, et al.. (2014). Treatment of acute respiratory distress syndrome with allogeneic adipose-derived mesenchymal stem cells: a randomized, placebo-controlled pilot study. Respiratory Research. 15(1). 39–39. 313 indexed citations breakdown →

16.

Zheng, Guoping, Menghua Ge, Qiang Shu, Mauricio Rojas, & Jianguo Xu. (2013). Mesenchymal stem cells in the treatment of pediatric diseases. World Journal of Pediatrics. 9(3). 197–211. 11 indexed citations

17.

Ge, Menghua, et al.. (2011). Primary extraskeletal osteosarcoma of omentum majus. World Journal of Surgical Oncology. 9(1). 10 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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