Jingmin Yu

469 total citations
15 papers, 353 citations indexed

About

Jingmin Yu is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Jingmin Yu has authored 15 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Immunology and 6 papers in Oncology. Recurrent topics in Jingmin Yu's work include Cancer Immunotherapy and Biomarkers (4 papers), Glycosylation and Glycoproteins Research (2 papers) and Immunotherapy and Immune Responses (2 papers). Jingmin Yu is often cited by papers focused on Cancer Immunotherapy and Biomarkers (4 papers), Glycosylation and Glycoproteins Research (2 papers) and Immunotherapy and Immune Responses (2 papers). Jingmin Yu collaborates with scholars based in China, Netherlands and United States. Jingmin Yu's co-authors include Juan Tang, Zhi‐Nan Chen, Yiming Li, Zhenyu Liu, Hanjie Yu, Jianchao Wang, Jian‐Li Jiang, Ming Zheng, Feng Guan and Kai Hu and has published in prestigious journals such as Hepatology, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Jingmin Yu

14 papers receiving 352 citations

Peers

Jingmin Yu
Barry Paul United States
Marion L. Hartley United States
Linda Sun United States
Xueni Liu China
Jingmin Yu
Citations per year, relative to Jingmin Yu Jingmin Yu (= 1×) peers Gabriele Anton

Countries citing papers authored by Jingmin Yu

Since Specialization
Citations

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

Fields of papers citing papers by Jingmin Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingmin Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Jingmin Yu. A scholar is included among the top collaborators of Jingmin Yu 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 Jingmin Yu. Jingmin Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Yang, Ze, Jingmin Yu, Xinyu Wang, et al.. (2025). Construction of a high-sensitivity Cherenkov luminescence endoscopy system for the detection of gastrointestinal cancers. EJNMMI Research. 15(1). 33–33.
3.
Yin, Yue, Jian Wan, Jingmin Yu, & Kaichun Wu. (2023). Molecular Pathogenesis of Colitis-associated Colorectal Cancer: Immunity, Genetics, and Intestinal Microecology. Inflammatory Bowel Diseases. 29(10). 1648–1657. 13 indexed citations
4.
Zang, Qianhao, Jingmin Yu, Jinhua Peng, et al.. (2022). Effect of ultrasonic vibration and heat pipe assistance on microstructure and mechanical properties of friction stir-welded AZ31 alloy. International Journal of Modern Physics B. 36(12n13). 1 indexed citations
5.
Ji, Gang, et al.. (2022). An adaptive feature selection schema using improved technical indicators for predicting stock price movements. Expert Systems with Applications. 200. 116941–116941. 30 indexed citations
6.
Li, Yiming, Zhenyu Liu, Jianchao Wang, et al.. (2019). Alterations of the Immunologic Co-Stimulator B7 and TNFR Families Correlate with Hepatocellular Carcinoma Prognosis and Metastasis by Inactivating STAT3. International Journal of Molecular Sciences. 20(1). 156–156. 19 indexed citations
7.
Li, Yiming, et al.. (2019). Programmed Death Ligand 1 Indicates Pre-Existing Adaptive Immune Response by Tumor-Infiltrating CD8+ T Cells in Non-Small Cell Lung Cancer. International Journal of Molecular Sciences. 20(20). 5138–5138. 18 indexed citations
8.
Yu, Hanjie, Xiaojie Li, Mengting Chen, et al.. (2019). Integrated Glycome Strategy for Characterization of Aberrant LacNAc Contained N-Glycans Associated With Gastric Carcinoma. Frontiers in Oncology. 9. 636–636. 18 indexed citations
9.
Liu, Zhenyu, Ming Zheng, Yiming Li, et al.. (2019). RIP3 promotes colitis-associated colorectal cancer by controlling tumor cell proliferation and CXCL1-induced immune suppression. Theranostics. 9(12). 3659–3673. 73 indexed citations
11.
Zhong, Yaogang, Yannan Qin, Hanjie Yu, et al.. (2015). Avian Influenza Virus Infection Risk in Humans with Chronic Diseases. Scientific Reports. 5(1). 8971–8971. 37 indexed citations
12.
Tang, Juan, Yunshan Guo, Xiaoling Yu, et al.. (2015). CD147 reinforces [Ca2+]i oscillations and promotes oncogenic progression in hepatocellular carcinoma. Oncotarget. 6(33). 34831–34845. 8 indexed citations
13.
Yang, Ganglong, Zengqi Tan, Wei Lü, et al.. (2014). Quantitative Glycome Analysis of N-Glycan Patterns in Bladder Cancer vs Normal Bladder Cells Using an Integrated Strategy. Journal of Proteome Research. 14(2). 639–653. 60 indexed citations
14.
Zhang, Xuan, Lei Zhang, Qing Chen, et al.. (2012). XRCC1 Arg399Gln was associated with repair capacity for DNA damage induced by occupational chromium exposure. BMC Research Notes. 5(1). 263–263. 10 indexed citations
15.
Yu, Jingmin, Zhiyun Meng, & Guifang Dou. (2008). [Recent advances in research on granulocyte colony-stimulating factor--review].. PubMed. 16(2). 452–6. 3 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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