Jingshu Meng

1.2k total citations · 1 hit paper
17 papers, 833 citations indexed

About

Jingshu Meng is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Jingshu Meng has authored 17 papers receiving a total of 833 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Cancer Research. Recurrent topics in Jingshu Meng's work include Extracellular vesicles in disease (4 papers), MicroRNA in disease regulation (3 papers) and Immune cells in cancer (3 papers). Jingshu Meng is often cited by papers focused on Extracellular vesicles in disease (4 papers), MicroRNA in disease regulation (3 papers) and Immune cells in cancer (3 papers). Jingshu Meng collaborates with scholars based in China and United States. Jingshu Meng's co-authors include Kunyu Yang, Honglin Jin, Chao Wan, Yajie Sun, Jonathan F. Lovell, Xiaomeng Dai, Gang Wu, Jing Huang, Lisen Lu and Yan Hu and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Science Advances and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Jingshu Meng

17 papers receiving 827 citations

Hit Papers

Ferroptosis‐Enhanced Immunotherapy with an Injectable Dex... 2023 2026 2024 2025 2023 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jingshu Meng China 13 444 244 238 215 186 17 833
Lanlan Hui China 8 411 0.9× 175 0.7× 306 1.3× 215 1.0× 127 0.7× 9 848
Kristina Stumpf United States 4 286 0.6× 152 0.6× 358 1.5× 213 1.0× 107 0.6× 4 693
Selma Maacha United States 10 579 1.3× 212 0.9× 231 1.0× 315 1.5× 84 0.5× 15 951
Edwardine Labay United States 12 540 1.2× 211 0.9× 415 1.7× 223 1.0× 224 1.2× 14 1.1k
Xiaonan Yin China 13 420 0.9× 206 0.8× 197 0.8× 219 1.0× 107 0.6× 35 771
Shihong Zhao China 15 447 1.0× 263 1.1× 123 0.5× 235 1.1× 92 0.5× 35 897
Yinmo Yang China 16 443 1.0× 149 0.6× 410 1.7× 263 1.2× 92 0.5× 38 871
Yoonjeong Choi South Korea 13 399 0.9× 240 1.0× 181 0.8× 203 0.9× 70 0.4× 26 771
Yuan‐Tong Liu China 14 319 0.7× 365 1.5× 384 1.6× 136 0.6× 146 0.8× 18 894

Countries citing papers authored by Jingshu Meng

Since Specialization
Citations

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

Fields of papers citing papers by Jingshu Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingshu Meng

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

All Works

17 of 17 papers shown
1.
Li, Jie, Bin Zhang, Zhiyuan Zhou, et al.. (2024). Stabilization of KPNB1 by deubiquitinase USP7 promotes glioblastoma progression through the YBX1-NLGN3 axis. Journal of Experimental & Clinical Cancer Research. 43(1). 28–28. 11 indexed citations
2.
Zhou, Zhiyuan, Bin Zhang, Yue Deng, et al.. (2024). FBW7/GSK3β mediated degradation of IGF2BP2 inhibits IGF2BP2-SLC7A5 positive feedback loop and radioresistance in lung cancer. Journal of Experimental & Clinical Cancer Research. 43(1). 34–34. 14 indexed citations
3.
Deng, Yue, Qingyan Chen, Xiao Yang, et al.. (2024). Tumor cell senescence-induced macrophage CD73 expression is a critical metabolic immune checkpoint in the aging tumor microenvironment. Theranostics. 14(3). 1224–1240. 23 indexed citations
4.
Wang, Yi‐Jun, Yuxin Yang, Xixi Liu, et al.. (2024). Targeting the Cascade Amplification of Macrophage Colony-stimulating Factor to Alleviate the Immunosuppressive Effects Following Radiotherapy. Research. 7. 450–450. 2 indexed citations
5.
Hu, Yan, Chao Wan, Yang Xiao, et al.. (2023). Radiated tumor cell-derived microparticles effectively kill stem-like tumor cells by increasing reactive oxygen species. Frontiers in Bioengineering and Biotechnology. 11. 1156951–1156951. 2 indexed citations
6.
Meng, Jingshu, Xiao Yang, Jing Huang, et al.. (2023). Ferroptosis‐Enhanced Immunotherapy with an Injectable Dextran‐Chitosan Hydrogel for the Treatment of Malignant Ascites in Hepatocellular Carcinoma. Advanced Science. 10(20). e2300517–e2300517. 71 indexed citations breakdown →
7.
Huang, Jing, Yan Hu, Chao Wan, et al.. (2022). Ionizing Radiation-Induced Tumor Cell-Derived Microparticles Prevent Lung Metastasis by Remodeling the Pulmonary Immune Microenvironment. International Journal of Radiation Oncology*Biology*Physics. 114(3). 502–515. 12 indexed citations
8.
Meng, Jingshu, Yan Li, Chao Wan, et al.. (2021). Targeting senescence-like fibroblasts radiosensitizes non–small cell lung cancer and reduces radiation-induced pulmonary fibrosis. JCI Insight. 6(23). 81 indexed citations
9.
Gao, Yanan, You Qin, Chao Wan, et al.. (2021). Small Extracellular Vesicles: A Novel Avenue for Cancer Management. Frontiers in Oncology. 11. 638357–638357. 54 indexed citations
10.
Wan, Chao, Yajie Sun, Yu Tian, et al.. (2020). Irradiated tumor cell–derived microparticles mediate tumor eradication via cell killing and immune reprogramming. Science Advances. 6(13). eaay9789–eaay9789. 189 indexed citations
11.
Dai, Xiaomeng, Jingshu Meng, Suke Deng, et al.. (2020). Targeting CAMKII to reprogram tumor-associated macrophages and inhibit tumor cells for cancer immunotherapy with an injectable hybrid peptide hydrogel. Theranostics. 10(7). 3049–3063. 76 indexed citations
12.
Dai, Xiaomeng, Lisen Lu, Suke Deng, et al.. (2020). USP7 targeting modulates anti-tumor immune response by reprogramming Tumor-associated Macrophages in Lung Cancer. Theranostics. 10(20). 9332–9347. 195 indexed citations
14.
Meng, Jingshu, Huaxiong Pan, Xiaoqian Li, et al.. (2019). Diagnosis and Treatment of Synchronous Lymphoma and Digestive System Carcinoma: Report of Four Cases and Literature Review. Frontiers in Oncology. 9. 1367–1367. 11 indexed citations
15.
Meng, Jingshu, Huaxiong Pan, Fang Zhu, et al.. (2018). Epidemiologic characteristics of malignant lymphoma in Hubei, China. Medicine. 97(35). e12120–e12120. 20 indexed citations
16.
Liu, Zijian, Jingshu Meng, Xiaoqian Li, et al.. (2018). Identification of Hub Genes and Key Pathways Associated with Two Subtypes of Diffuse Large B-Cell Lymphoma Based on Gene Expression Profiling via Integrated Bioinformatics. BioMed Research International. 2018. 1–14. 37 indexed citations
17.
Chang, Chan Fong, Jingshu Meng, Fang Zhu, et al.. (2017). Expression of Nischarin negatively correlates with estrogen receptor and alters apoptosis, migration and invasion in human breast cancer. Biochemical and Biophysical Research Communications. 484(3). 536–542. 12 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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