Junliang Ge

501 total citations
25 papers, 372 citations indexed

About

Junliang Ge is a scholar working on Molecular Biology, Computational Theory and Mathematics and Oncology. According to data from OpenAlex, Junliang Ge has authored 25 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Computational Theory and Mathematics and 6 papers in Oncology. Recurrent topics in Junliang Ge's work include Computational Drug Discovery Methods (7 papers), Glioma Diagnosis and Treatment (3 papers) and Nanoplatforms for cancer theranostics (3 papers). Junliang Ge is often cited by papers focused on Computational Drug Discovery Methods (7 papers), Glioma Diagnosis and Treatment (3 papers) and Nanoplatforms for cancer theranostics (3 papers). Junliang Ge collaborates with scholars based in China, United States and Hong Kong. Junliang Ge's co-authors include Xinghai Ning, Yurui Xu, Bo Wu, Leilei Guo, Qing Jiang, Xueying An, Xue Shan, Yadong Luo, Meng Li and Xinyu Huang and has published in prestigious journals such as Chemical Communications, Scientific Reports and ACS Applied Materials & Interfaces.

In The Last Decade

Junliang Ge

25 papers receiving 368 citations

Peers

Junliang Ge

PRM

Achyut Dahal United States

Parastoo Tarighi Iran

Chubiao Zhao China

Sona Talaei Iran

Hongyu Zhao China

Vino Sundararajan India

Yuanyuan Jin China

Kuo‐Hsiang Chuang Taiwan

Guiqi Qin China

Nirzari Gupta United States

Achyut Dahal United States

Junliang Ge

185 ×1.3

94 ×0.8

102 ×1.7

39 ×0.7

34 ×0.8

PRM

Citations per year, relative to Junliang Ge Junliang Ge (= 1×) peers Achyut Dahal

Countries citing papers authored by Junliang Ge

Since Specialization

Citations

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

Fields of papers citing papers by Junliang Ge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junliang Ge

This figure shows the co-authorship network connecting the top 25 collaborators of Junliang Ge. A scholar is included among the top collaborators of Junliang 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 Junliang Ge. Junliang 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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20 of 20 papers shown

Wang, Dandan, Chunji Li, Dou Zhang, et al.. (2025). Synergistic interaction in mixed pant growth promoting rhizobacteria consortium enhances biofilm formation and rhizosphere colonization to promote tomato (Solanum lycopersicum) growth. Scientia Horticulturae. 351. 114383–114383. 2 indexed citations

Ge, Junliang, et al.. (2024). Computational study of novel natural agonists targeting farnesoid X receptor. Scientific Reports. 14(1). 17597–17597. 1 indexed citations

Zhong, Sheng, Yuanyuan Hou, Zhiyun Zhang, et al.. (2022). Identification of novel natural inhibitors targeting AKT Serine/Threonine Kinase 1 (AKT1) by computational study. Bioengineered. 13(5). 12003–12020. 24 indexed citations

Gao, Ya, Yu Huang, Junliang Ge, et al.. (2021). An interrelated CataFlower enzyme system for sensitively monitoring sweat glucose. Talanta. 235. 122799–122799. 14 indexed citations

Hou, Yuanyuan, et al.. (2021). Computational study on novel natural inhibitors targeting c-MET. Medicine. 100(38). e27171–e27171. 4 indexed citations

Wu, Bo, Zhen Guo, Daqun Liu, et al.. (2021). Selected using bioinformatics and molecular docking analyses, PHA-793887 is effective against osteosarcoma. Aging. 13(12). 16425–16444. 15 indexed citations

Zhong, Sheng, Bo Wu, Junliang Ge, et al.. (2021). Effective natural inhibitors targeting poly ADP-ribose polymerase by computational study. Aging. 13(2). 1898–1912. 10 indexed citations

Wu, Bo, et al.. (2021). Novel natural inhibitors targeting B-RAF(V600E) by computational study. Bioengineered. 12(1). 2970–2983. 16 indexed citations

Ge, Junliang, Yurui Xu, Jianmei Chen, et al.. (2020). Bioactive multi-engineered hydrogel offers simultaneous promise against antibiotic resistance and wound damage. International Journal of Biological Macromolecules. 164. 4466–4474. 28 indexed citations

10.

Ge, Junliang, et al.. (2020). Computational study on natural compounds inhibitor of c-Myc. Medicine. 99(50). e23342–e23342. 11 indexed citations

11.

Ge, Junliang, Ye Cheng, Bo Wu, et al.. (2020). Computational study of novel natural inhibitors targeting aminopeptidase N(CD13). Aging. 12(9). 8523–8535. 11 indexed citations

12.

Guo, Leilei, Yurui Xu, Anwei Zhou, et al.. (2019). A stimuli-responsive combination therapy for recovering p53-inactivation associated drug resistance. Materials Science and Engineering C. 108. 110403–110403. 12 indexed citations

13.

Zhang, Lei, Leilei Guo, Xue Shan, et al.. (2019). An elegant nitroreductase responsive fluorescent probe for selective detection of pathogenic Listeria in vitro and in vivo. Talanta. 198. 472–479. 22 indexed citations

14.

Cheng, Shusen, et al.. (2019). A review on transfer mechanism and influence factors of silicon in blast furnace. Ironmaking & Steelmaking Processes Products and Applications. 47(3). 246–262. 8 indexed citations

15.

Zhong, Sheng, Yang Bai, Bo Wu, et al.. (2019). Selected by gene co-expression network and molecular docking analyses, ENMD-2076 is highly effective in glioblastoma-bearing rats. Aging. 11(21). 9738–9766. 15 indexed citations

16.

Zhong, Sheng, Bo Wu, Xinhui Wang, et al.. (2019). Identification of driver genes and key pathways of prolactinoma predicts the therapeutic effect of genipin. Molecular Medicine Reports. 20(3). 2712–2724. 6 indexed citations

17.

Zhong, Sheng, Yuxiang Fan, Bo Wu, et al.. (2018). HDAC3 Expression Correlates with the Prognosis and Grade of Patients with Glioma: A Diversification Analysis Based on Transcriptome and Clinical Evidence. World Neurosurgery. 119. e145–e158. 13 indexed citations

18.

Cheng, Shusen, Zhongqi Hao, Lianbo Guo, et al.. (2018). Quantitative analysis of steel and iron by laser-induced breakdown spectroscopy using GA-KELM. Plasma Science and Technology. 21(3). 34020–34020. 9 indexed citations

19.

Zhong, Sheng, et al.. (2018). Identification of driver genes and key pathways of ependymoma. Turkish Neurosurgery. 34(2). 184–195. 3 indexed citations

20.

Zhang, Lei, Xue Shan, Leilei Guo, et al.. (2018). A sensitive and fast responsive fluorescent probe for imaging hypoxic tumors. The Analyst. 144(1). 284–289. 13 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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