Jie Ji

2.9k total citations · 1 hit paper
74 papers, 2.1k citations indexed

About

Jie Ji is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Jie Ji has authored 74 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 19 papers in Cancer Research and 18 papers in Oncology. Recurrent topics in Jie Ji's work include MicroRNA in disease regulation (12 papers), Immunotherapy and Immune Responses (8 papers) and Extracellular vesicles in disease (8 papers). Jie Ji is often cited by papers focused on MicroRNA in disease regulation (12 papers), Immunotherapy and Immune Responses (8 papers) and Extracellular vesicles in disease (8 papers). Jie Ji collaborates with scholars based in China, United States and Spain. Jie Ji's co-authors include Jiao Feng, Qiang Yu, Chuanyong Guo, Liwei Wu, Jianye Wu, Weiqi Dai, Jingjing Li, Devin Harrison, Jun Huang and Yunlong Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and The Plant Journal.

In The Last Decade

Jie Ji

68 papers receiving 2.1k citations

Hit Papers

Emerging roles and the regulation of aerobic glycolysis i... 2020 2026 2022 2024 2020 100 200 300 400
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. Emerging roles and the regulation of aerobic glycolysis in hepatocellular carcinoma
    2020 474 citations Jiao Feng, Jingjing Li 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
Jie Ji China 21 1.2k 766 370 369 273 74 2.1k
Ling‐Wen Ding Singapore 29 1.6k 1.4× 541 0.7× 506 1.4× 260 0.7× 318 1.2× 65 2.4k
Nadia Μ. Hamdy Egypt 36 1.3k 1.1× 947 1.2× 294 0.8× 230 0.6× 206 0.8× 86 2.5k
Shu‐Chi Wang Taiwan 23 847 0.7× 436 0.6× 367 1.0× 520 1.4× 250 0.9× 87 1.9k
Qing Tang China 31 1.9k 1.6× 1.1k 1.5× 305 0.8× 320 0.9× 270 1.0× 124 2.9k
Qizhi Wang China 27 2.0k 1.6× 544 0.7× 674 1.8× 376 1.0× 232 0.8× 135 3.0k
Chunping Jiang China 27 1.3k 1.1× 850 1.1× 495 1.3× 224 0.6× 157 0.6× 66 2.2k
Guifang Yan China 15 1.0k 0.9× 585 0.8× 589 1.6× 703 1.9× 392 1.4× 29 2.5k
Fang Zheng China 30 1.8k 1.5× 953 1.2× 685 1.9× 708 1.9× 307 1.1× 81 3.0k
Cun Liu China 27 988 0.8× 550 0.7× 318 0.9× 246 0.7× 288 1.1× 103 1.9k

Countries citing papers authored by Jie Ji

Since Specialization
Citations

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

Fields of papers citing papers by Jie Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jie Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Jie Ji. A scholar is included among the top collaborators of Jie Ji 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 Jie Ji. Jie Ji 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
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2.
Chen, Lu, Xiaoyan Chen, Joshua Li, et al.. (2025). Distinct Suppression of Prednisone on Endometrial Immune Cells in Women With Reproductive Failure. American Journal of Reproductive Immunology. 94(4). e70151–e70151. 1 indexed citations
3.
Li, Mengqi, et al.. (2025). Engineering CO2-Fixing Carboxysome into Saccharomyces cerevisiae to Improve Ethanol Production. International Journal of Molecular Sciences. 26(19). 9759–9759.
4.
Ji, Jie, et al.. (2025). Decoding the pancreatic cancer microenvironment: The multifaceted regulation of microRNAs. Clinical and Translational Medicine. 15(7). e70354–e70354.
5.
Jin, Dandan, Jie Ji, Xuebing Xu, et al.. (2024). Glycolysis in the tumor microenvironment: a driver of cancer progression and a promising therapeutic target. Frontiers in Cell and Developmental Biology. 12. 1416472–1416472. 26 indexed citations
6.
Zhang, Xiaoqiang, et al.. (2024). Exosomal circ‐0100519 promotes breast cancer progression via inducing M2 macrophage polarisation by USP7/NRF2 axis. Clinical and Translational Medicine. 14(8). e1763–e1763. 19 indexed citations
7.
Xu, Xuebing, Shengze Zhu, Jie Ji, et al.. (2023). Differences between migrasome, a ‘new organelle’, and exosome. Journal of Cellular and Molecular Medicine. 27(23). 3672–3680. 14 indexed citations
8.
Wang, Longlong, Runhui Li, Tao Tian, et al.. (2022). Single cell‐type transcriptome profiling reveals genes that promote nitrogen fixation in the infected and uninfected cells of legume nodules. Plant Biotechnology Journal. 20(4). 616–618. 24 indexed citations
9.
Xu, Fengqin, et al.. (2022). Tetramethylpyrazine and Paeoniflorin Synergistically Attenuate Cholesterol Efflux in Macrophage Cells via Enhancing ABCA1 and ABCG1 Expression. Evidence-based Complementary and Alternative Medicine. 2022. 1–8. 3 indexed citations
10.
Ji, Jie, Dandan Jin, Yue Wu, et al.. (2022). AKR1B1 promotes pancreatic cancer metastasis by regulating lysosome-guided exosome secretion. Nano Research. 15(6). 5279–5294. 7 indexed citations
11.
12.
Cheng, Ping, Weiqi Dai, Jie Ji, et al.. (2021). Fenofibrate Ameliorates Hepatic Ischemia/Reperfusion Injury in Mice: Involvements of Apoptosis, Autophagy, and PPAR-α Activation. PPAR Research. 2021. 1–16. 14 indexed citations
13.
Jin, Dandan, Jie Ji, Wei Jiang, et al.. (2020). Identification of prognostic risk factors for pancreatic cancer using bioinformatics analysis. PeerJ. 8. e9301–e9301. 13 indexed citations
14.
Yi, Nan, et al.. (2020). Serum galectin‐3 as a biomarker for screening, early diagnosis, prognosis and therapeutic effect evaluation of pancreatic cancer. Journal of Cellular and Molecular Medicine. 24(19). 11583–11591. 20 indexed citations
15.
Yu, Qiang, Liwei Wu, Jie Ji, et al.. (2020). <p>Gut Microbiota, Peroxisome Proliferator-Activated Receptors, and Hepatocellular Carcinoma</p>. Journal of Hepatocellular Carcinoma. Volume 7. 271–288. 19 indexed citations
16.
Chen, Xiaojun, Jie Ji, Rui Zhou, et al.. (2019). Progress of Exosomes in the Diagnosis and Treatment of Pancreatic Cancer. Genetic Testing and Molecular Biomarkers. 23(3). 215–222. 14 indexed citations
17.
Li, Yong-Fang, Miao Zhao, Menglei Wang, et al.. (2019). An improved method of constructing degradome library suitable for sequencing using Illumina platform. Plant Methods. 15(1). 134–134. 7 indexed citations
18.
Ji, Jie, Feifan Zhou, Xiaojie Wang, et al.. (2015). Improvement of DC vaccine with ALA-PDT induced immunogenic apoptotic cells for skin squamous cell carcinoma. Oncotarget. 6(19). 17135–17146. 55 indexed citations
19.
20.
Tong, Xuhui, Xi Han, Binbin Yu, et al.. (2014). Role of gap junction intercellular communication in testicular leydig cell apoptosis induced by oxaliplatin via the mitochondrial pathway. Oncology Reports. 33(1). 207–214. 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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