Jing Ge

1.7k total citations · 1 hit paper
82 papers, 931 citations indexed

About

Jing Ge is a scholar working on Molecular Biology, Hematology and Epidemiology. According to data from OpenAlex, Jing Ge has authored 82 papers receiving a total of 931 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 17 papers in Hematology and 14 papers in Epidemiology. Recurrent topics in Jing Ge's work include Platelet Disorders and Treatments (15 papers), Liver Disease Diagnosis and Treatment (7 papers) and Immune Cell Function and Interaction (6 papers). Jing Ge is often cited by papers focused on Platelet Disorders and Treatments (15 papers), Liver Disease Diagnosis and Treatment (7 papers) and Immune Cell Function and Interaction (6 papers). Jing Ge collaborates with scholars based in China, United States and United Kingdom. Jing Ge's co-authors include Renchi Yang, Weiting Du, Dongsheng Gu, Feng Xue, Haifeng Zhao, Xin Zhao, Tao Sui, Zhenping Chen, Zhenxing Guo and Zeping Zhou and has published in prestigious journals such as The Journal of Experimental Medicine, Blood and Journal of the American College of Cardiology.

In The Last Decade

Jing Ge

75 papers receiving 917 citations

Hit Papers

Risk factors for kidney stone disease recurrence: a compr... 2022 2026 2023 2024 2022 25 50 75
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.

  1. Risk factors for kidney stone disease recurrence: a comprehensive meta-analysis
    2022 92 citations Jing Ge et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jing Ge China 19 275 213 165 130 101 82 931
Wenhao Cui China 23 278 1.0× 162 0.8× 236 1.4× 88 0.7× 132 1.3× 93 1.3k
Hande Canpınar Türkiye 17 236 0.9× 90 0.4× 197 1.2× 97 0.7× 57 0.6× 65 945
Qian Fan China 20 258 0.9× 144 0.7× 103 0.6× 72 0.6× 161 1.6× 78 1.2k
Huafeng Wang China 11 187 0.7× 254 1.2× 99 0.6× 88 0.7× 36 0.4× 52 926
Ying Hu China 16 218 0.8× 182 0.9× 63 0.4× 81 0.6× 43 0.4× 50 724
Bart J. Crielaard Netherlands 18 463 1.7× 304 1.4× 188 1.1× 124 1.0× 55 0.5× 24 1.3k
Suresh Kumar Balasubramanian United States 15 305 1.1× 150 0.7× 88 0.5× 186 1.4× 107 1.1× 52 1.3k
Ying Ou China 21 609 2.2× 213 1.0× 102 0.6× 93 0.7× 58 0.6× 62 1.2k
Li Teng China 20 435 1.6× 102 0.5× 108 0.7× 248 1.9× 89 0.9× 85 1.4k
Kazuhiro Yokota Japan 20 400 1.5× 98 0.5× 290 1.8× 66 0.5× 58 0.6× 48 1.2k

Countries citing papers authored by Jing Ge

Since Specialization
Citations

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

Fields of papers citing papers by Jing Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Ge

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Ge. A scholar is included among the top collaborators of Jing 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 Jing Ge. Jing 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, Jinling, Tian Xie, Bowen Xie, et al.. (2025). Ciliated cell–derived IL-17D restrains allergic asthma through controlling monocyte recruitment. The Journal of Experimental Medicine. 222(10). 1 indexed citations
2.
Li, Jiahui, et al.. (2024). PGC-1α Promotes mitochondrial biosynthesis and energy metabolism of goose fatty liver. Poultry Science. 104(1). 104617–104617. 1 indexed citations
3.
Liu, Jianping, Wei Hong, Jing Ge, et al.. (2024). Invasive cardiac lipoma at the left ventricular intermuscular region: A case report. Experimental and Therapeutic Medicine. 27(2). 85–85.
4.
Sun, Jingyi, Jing Ge, Jianbo Zhang, et al.. (2024). Magnetically aligned composite membranes based on sulfonated poly(ether ether ketone) and phosphotungstic acid-loaded magnetic nanoparticles for fuel cell. International Journal of Hydrogen Energy. 57. 301–314. 4 indexed citations
5.
Sun, Jingyi, et al.. (2024). Cross-linked proton exchange membrane covalently bonded with silicotungstic acid for enhanced proton conductivity. International Journal of Hydrogen Energy. 141. 499–511. 4 indexed citations
6.
Ge, Jing, et al.. (2024). Identification of key biomarkers and therapeutic targets in sepsis through coagulation-related gene expression and immune pathway analysis. Frontiers in Immunology. 15. 1470842–1470842. 4 indexed citations
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Dong, Jing, et al.. (2024). Neurotoxic lesions of the anterior claustrum influence cued fear memory in rats. Frontiers in Psychiatry. 15. 1387507–1387507.
9.
Ge, Jing, Rui Zhou, Ya‐Hui Hu, et al.. (2023). The activity of cuproptosis pathway calculated by AUCell algorithm was employed to construct cuproptosis landscape in lung adenocarcinoma. Discover Oncology. 14(1). 135–135. 6 indexed citations
10.
Ge, Jing, Xiaohong Zhao, Mengting Gou, et al.. (2023). Cell autonomous expression of BCL6 is required to maintain lineage identity of mouse CCR6+ ILC3s. The Journal of Experimental Medicine. 220(4). 8 indexed citations
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Wang, Bian, et al.. (2022). N-MID, P1NP, β-CTX, and phosphorus in adolescents with condylar resorption. Oral Surgery Oral Medicine Oral Pathology and Oral Radiology. 135(6). 724–731. 3 indexed citations
14.
Liu, Tingting, Hao Li, Ning Xiao, et al.. (2021). Identification of Circular RNA Expression Profiles and Potential Biomarkers for Intracerebral Hemorrhage. Epigenomics. 13(5). 379–395. 7 indexed citations
15.
Xiao, Ning, Tianlong Liu, Hao Li, et al.. (2020). Low Serum Uric Acid Levels Promote Hypertensive Intracerebral Hemorrhage by Disrupting the Smooth Muscle Cell-Elastin Contractile Unit and Upregulating the Erk1/2-MMP Axis. Translational Stroke Research. 11(5). 1077–1094. 16 indexed citations
16.
Li, Song, Tianlong Liu, Yan Song, et al.. (2019). mtDNA Copy Number Contributes to All-Cause Mortality of Lacunar Infarct in a Chinese Prospective Stroke Population. Journal of Cardiovascular Translational Research. 13(5). 783–789. 12 indexed citations
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Zhao, Huiyu, et al.. (2010). Determination of MCPA residue in wheat using high performance liquid chromatography tandem mass spectrometry. Nongyaoxue xuebao. 12(1). 105–108. 1 indexed citations
19.
Du, Wei, et al.. (2009). The role of T-cell immunoglobulin- and mucin-domain-containing molecule-3 polymorphisms in idiopathic thrombocytopenic purpura. Human Immunology. 70(6). 398–402. 19 indexed citations
20.
Guo, Zhenxing, Cuiling Zheng, Zhenping Chen, et al.. (2009). Fetal BM‐derived mesenchymal stem cells promote the expansion of human Th17 cells, but inhibit the production of Th1 cells. European Journal of Immunology. 39(10). 2840–2849. 58 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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