Qi Ge

4.7k total citations
101 papers, 3.7k citations indexed

About

Qi Ge is a scholar working on Molecular Biology, Physiology and Immunology. According to data from OpenAlex, Qi Ge has authored 101 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 22 papers in Physiology and 17 papers in Immunology. Recurrent topics in Qi Ge's work include Asthma and respiratory diseases (20 papers), Cytokine Signaling Pathways and Interactions (9 papers) and Protein Tyrosine Phosphatases (8 papers). Qi Ge is often cited by papers focused on Asthma and respiratory diseases (20 papers), Cytokine Signaling Pathways and Interactions (9 papers) and Protein Tyrosine Phosphatases (8 papers). Qi Ge collaborates with scholars based in China, Australia and United States. Qi Ge's co-authors include Janette K. Burgess, Judith L. Black, Peter R. A. Johnson, Michael Roth, Michael Tamm, Alaina J. Ammit, Maree H. Poniris, Greg King, Margaret A. Hughes and Brian G. Oliver and has published in prestigious journals such as New England Journal of Medicine, The Lancet and SHILAP Revista de lepidopterología.

In The Last Decade

Qi Ge

95 papers receiving 3.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qi Ge China 32 1.5k 1.4k 1.0k 730 418 101 3.7k
Ulaganathan Mabalirajan India 29 1.1k 0.7× 1.1k 0.8× 797 0.8× 553 0.8× 359 0.9× 62 2.9k
Xiangdong Zhu United States 31 709 0.5× 1.3k 0.9× 408 0.4× 892 1.2× 304 0.7× 105 3.2k
Mark A. Giembycz United States 42 2.4k 1.6× 2.5k 1.8× 1.2k 1.1× 1.5k 2.0× 244 0.6× 133 5.2k
Bifeng Gao United States 26 524 0.3× 1.3k 0.9× 596 0.6× 666 0.9× 311 0.7× 53 3.6k
Hui Liao China 36 502 0.3× 1.5k 1.1× 478 0.5× 728 1.0× 394 0.9× 107 4.6k
Rosario Donato Italy 33 615 0.4× 2.9k 2.0× 382 0.4× 645 0.9× 536 1.3× 81 4.6k
Laurent Baud France 35 519 0.3× 1.3k 0.9× 470 0.5× 775 1.1× 218 0.5× 115 3.8k
Yuehua Li China 42 923 0.6× 2.8k 2.0× 610 0.6× 1.3k 1.8× 637 1.5× 157 5.5k
Joan M. Cook‐Mills United States 34 749 0.5× 1.1k 0.8× 309 0.3× 978 1.3× 196 0.5× 79 3.5k
Hidemi Yoshida Japan 39 505 0.3× 1.4k 1.0× 279 0.3× 1.6k 2.2× 537 1.3× 183 4.6k

Countries citing papers authored by Qi Ge

Since Specialization
Citations

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

Fields of papers citing papers by Qi Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qi Ge

This figure shows the co-authorship network connecting the top 25 collaborators of Qi Ge. A scholar is included among the top collaborators of Qi 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 Qi Ge. Qi Ge 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.
Huang, Leyi, et al.. (2025). Tumor-associated Schwann cells as new therapeutic target in non-neurological cancers. Cancer Letters. 624. 217748–217748.
2.
Li, Yuying, Liling Dong, Qi Ge, et al.. (2025). The diagnostic performance of [18F]Florbetazine in Alzheimer’s disease: a head-to-head comparison to [11C]PiB and [18F]Florbetapir. European Journal of Nuclear Medicine and Molecular Imaging. 52(10). 3557–3566.
3.
Zhou, Wangxiao, Ye Jin, Qi Ge, et al.. (2024). Reshaping the battlefield: A decade of clonal wars among Staphylococcus aureus in China. Drug Resistance Updates. 78. 101178–101178. 5 indexed citations
4.
Ren, Chao, Chenhui Mao, Liling Dong, et al.. (2024). Evaluation of a novel PET tracer [18F]-Florbetazine for Alzheimer's disease diagnosis and β-amyloid deposition quantification. NeuroImage. 298. 120779–120779. 2 indexed citations
5.
6.
Dong, Yifei, et al.. (2023). Antioxidant soy peptide can inhibit xanthine oxidase activity and improve LO2 cell damage. Food Bioscience. 52. 102455–102455. 21 indexed citations
7.
Feng, Rong, Yixuan Fan, Liang Chen, et al.. (2022). Based on 16 S rRNA sequencing and metabonomics to reveal the new mechanism of aluminum potassium sulfate induced inflammation and abnormal lipid metabolism in mice. Ecotoxicology and Environmental Safety. 247. 114214–114214. 9 indexed citations
8.
Chen, Liang, Feifei Zhu, Qi Ge, et al.. (2022). The Evaluation of the Biological Effects of Melanin by Using Silkworm as a Model Animal. Toxins. 14(7). 421–421. 5 indexed citations
9.
Li, Mengqi, Qi Ge, Pengfei Jiang, et al.. (2021). Potential Mechanisms Mediating the Protective Effects ofTricholoma matsutake-Derived Peptides in Mitigating DSS-Induced Colitis. Journal of Agricultural and Food Chemistry. 69(19). 5536–5546. 58 indexed citations
10.
11.
Li, Mengqi, et al.. (2021). Tricholoma matsutake-Derived Peptides Show Gastroprotective Effects against Ethanol-Induced Acute Gastric Injury. Journal of Agricultural and Food Chemistry. 69(49). 14985–14994. 27 indexed citations
12.
13.
Ge, Qi, et al.. (2016). Corticosteroid‐Induced MKP‐1 Represses Pro‐Inflammatory Cytokine Secretion by Enhancing Activity of Tristetraprolin (TTP) in ASM Cells. Journal of Cellular Physiology. 231(10). 2153–2158. 18 indexed citations
14.
Zeng, Qingxiang, Qi Ge, Mehra Haghi, et al.. (2014). Allergen exposed primary human bronchial epithelial cells have inhibited transport of salbutamol sulphate only when functional organic cation tranporters are present. European Respiratory Journal. 44(Suppl 58). P944–P944. 2 indexed citations
15.
Seidel, Petra, et al.. (2011). IκBα glutathionylation and reduced histone H3 phosphorylation inhibit eotaxin and RANTES. European Respiratory Journal. 38(6). 1444–1452. 35 indexed citations
16.
Ammit, Alaina J., Lyn M. Moir, Brian G. Oliver, et al.. (2006). Effect of IL-6 trans-signaling on the pro-remodeling phenotype of airway smooth muscle. American Journal of Physiology-Lung Cellular and Molecular Physiology. 292(1). L199–L206. 56 indexed citations
17.
Osei-Kumah, A., Alaina J. Ammit, Roger Smith, Qi Ge, & Vicki L. Clifton. (2005). Inflammatory Mediator Release in Normal Bronchial Smooth Muscle Cells is Altered by Pregnant Maternal and Fetal Plasma Independent of Asthma. Placenta. 27(8). 847–852. 16 indexed citations
18.
Burgess, Janette K., Peter R. A. Johnson, Qi Ge, et al.. (2002). Expression of Connective Tissue Growth Factor in Asthmatic Airway Smooth Muscle Cells. American Journal of Respiratory and Critical Care Medicine. 167(1). 71–77. 109 indexed citations
19.
Johnson, Peter R. A., Michael Roth, Michael Tamm, et al.. (2001). Airway Smooth Muscle Cell Proliferation is Increased in Asthma. American Journal of Respiratory and Critical Care Medicine. 164(3). 474–477. 431 indexed citations
20.
Johnson, Peter R. A., et al.. (2000). The Production of Extracellular Matrix Proteins by Human Passively Sensitized Airway Smooth-Muscle Cells in Culture. American Journal of Respiratory and Critical Care Medicine. 162(6). 2145–2151. 137 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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