Jingwei Ma

5.9k total citations · 3 hit papers
63 papers, 3.1k citations indexed

About

Jingwei Ma is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Jingwei Ma has authored 63 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Immunology, 25 papers in Molecular Biology and 15 papers in Oncology. Recurrent topics in Jingwei Ma's work include Immune Cell Function and Interaction (13 papers), Immune cells in cancer (11 papers) and Extracellular vesicles in disease (9 papers). Jingwei Ma is often cited by papers focused on Immune Cell Function and Interaction (13 papers), Immune cells in cancer (11 papers) and Extracellular vesicles in disease (9 papers). Jingwei Ma collaborates with scholars based in China, United States and Canada. Jingwei Ma's co-authors include Ke Tang, Bo Huang, Bo Huang, Jiadi Lv, Yuying Liu, Xiaoyu Liang, Pingwei Xu, Huafeng Zhang, Degao Chen and Jing Xie and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Jingwei Ma

61 papers receiving 3.1k citations

Hit Papers

Chloroquine modulates antitumor immune response by resett... 2018 2026 2020 2023 2018 2024 2024 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jingwei Ma China 30 1.7k 1.1k 807 565 466 63 3.1k
Chirag H. Patel United States 18 1.3k 0.8× 1.4k 1.3× 836 1.0× 636 1.1× 289 0.6× 34 3.2k
Giusy Di Conza Italy 19 1.3k 0.7× 1.4k 1.3× 679 0.8× 711 1.3× 179 0.4× 37 2.8k
Jiadi Lv China 22 1.2k 0.7× 797 0.7× 369 0.5× 491 0.9× 325 0.7× 37 2.3k
Ying Zhu China 34 1.5k 0.9× 898 0.8× 897 1.1× 754 1.3× 241 0.5× 145 3.4k
Chunqing Guo United States 29 1.5k 0.9× 1.2k 1.2× 520 0.6× 611 1.1× 209 0.4× 66 2.9k
Young Song United States 28 2.6k 1.5× 704 0.7× 671 0.8× 728 1.3× 194 0.4× 56 3.9k
Xiaofeng Jiang China 35 3.0k 1.7× 865 0.8× 984 1.2× 1.3k 2.2× 237 0.5× 73 4.4k
Jun Wei China 26 1.3k 0.8× 1.1k 1.0× 468 0.6× 655 1.2× 166 0.4× 73 2.8k
Zuo‐Hua Feng China 31 1.4k 0.8× 1.8k 1.7× 745 0.9× 969 1.7× 184 0.4× 59 3.6k
Jinghang Zhang China 20 1.9k 1.1× 1.7k 1.6× 520 0.6× 1.4k 2.5× 361 0.8× 83 4.4k

Countries citing papers authored by Jingwei Ma

Since Specialization
Citations

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

Fields of papers citing papers by Jingwei Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingwei Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Jingwei Ma. A scholar is included among the top collaborators of Jingwei Ma 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 Jingwei Ma. Jingwei Ma 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.
Ma, Kaili, Yingxi Xu, Hongcheng Cheng, et al.. (2025). T cell-based cancer immunotherapy: opportunities and challenges. PubMed. 70(11). 1872–1890. 10 indexed citations
2.
Liu, Jing, Jiahui Ma, Jingwei Ma, et al.. (2025). Synergistic effect of photodynamic therapy with multimodal therapy achieves anus preservation in MSS ultra-low rectal cancer—A case report and literature review. Photodiagnosis and Photodynamic Therapy. 58. 105299–105299.
3.
Wei, Keke, Liang Tang, Xin Zhang, et al.. (2025). Lithium carbonate induces myofibroblast necroptosis to reverse pulmonary fibrosis. 1(1).
4.
Chen, Jie, Yabo Zhou, Kexin Cao, et al.. (2024). Hepatic glycogenesis antagonizes lipogenesis by blocking S1P via UDPG. Science. 383(6684). eadi3332–eadi3332. 28 indexed citations
5.
Zhou, Li, Dongxiao Wu, Yabo Zhou, et al.. (2023). Tumor cell-released kynurenine biases MEP differentiation into megakaryocytes in individuals with cancer by activating AhR–RUNX1. Nature Immunology. 24(12). 2042–2052. 20 indexed citations
6.
Zhang, Huafeng, Jincheng Liu, Zhuoshun Yang, et al.. (2022). TCR activation directly stimulates PYGB-dependent glycogenolysis to fuel the early recall response in CD8+ memory T cells. Molecular Cell. 82(16). 3077–3088.e6. 29 indexed citations
7.
Chen, Shiqi, Jingwei Ma, Jiangyang Chi, et al.. (2022). Roles and potential clinical implications of tissue transglutaminase in cardiovascular diseases. Pharmacological Research. 177. 106085–106085. 11 indexed citations
8.
Xu, Jin, et al.. (2022). Profiles of transcriptome and metabolic pathways after hypobaric hypoxia exposure. Proteome Science. 20(1). 16–16. 6 indexed citations
9.
Lv, Jiadi, Yuying Liu, Yabo Zhou, et al.. (2022). Gasdermin E mediates resistance of pancreatic adenocarcinoma to enzymatic digestion through a YBX1–mucin pathway. Nature Cell Biology. 24(3). 364–372. 43 indexed citations
10.
Tang, Ke, Liyan Zhu, Jie Chen, et al.. (2021). Hypoxia Promotes Breast Cancer Cell Growth by Activating a Glycogen Metabolic Program. Cancer Research. 81(19). 4949–4963. 75 indexed citations
11.
Zhang, Huafeng, Jingwei Ma, Ke Tang, & Bo Huang. (2020). Beyond energy storage: roles of glycogen metabolism in health and disease. FEBS Journal. 288(12). 3772–3783. 43 indexed citations
12.
Liu, Yuying, Tianzhen Zhang, Haizeng Zhang, et al.. (2020). Cell Softness Prevents Cytolytic T-cell Killing of Tumor-Repopulating Cells. Cancer Research. 81(2). 476–488. 88 indexed citations
13.
Gao, Yunfeng, Hui Zhang, Nannan Zhou, et al.. (2020). Methotrexate-loaded tumour-cell-derived microvesicles can relieve biliary obstruction in patients with extrahepatic cholangiocarcinoma. Nature Biomedical Engineering. 4(7). 743–753. 117 indexed citations
14.
Liu, Yuying, Jiadi Lv, Xiaoyu Liang, et al.. (2018). Fibrin Stiffness Mediates Dormancy of Tumor-Repopulating Cells via a Cdc42-Driven Tet2 Epigenetic Program. Cancer Research. 78(14). 3926–3937. 88 indexed citations
15.
Ma, Jingwei, Keke Wei, Huafeng Zhang, et al.. (2018). Mechanisms by Which Dendritic Cells Present Tumor Microparticle Antigens to CD8+ T Cells. Cancer Immunology Research. 6(9). 1057–1068. 64 indexed citations
16.
Zhang, Huafeng, Yuandong Yu, Li Zhou, et al.. (2018). Circulating Tumor Microparticles Promote Lung Metastasis by Reprogramming Inflammatory and Mechanical Niches via a Macrophage-Dependent Pathway. Cancer Immunology Research. 6(9). 1046–1056. 48 indexed citations
17.
Ma, Ruihua, Tiantian Ji, Yi Zhang, et al.. (2017). A Pck1-directed glycogen metabolic program regulates formation and maintenance of memory CD8+ T cells. Nature Cell Biology. 20(1). 21–27. 151 indexed citations
18.
Li, Yong, Shunqun Luo, Ruihua Ma, et al.. (2015). Upregulation of Cytosolic Phosphoenolpyruvate Carboxykinase Is a Critical Metabolic Event in Melanoma Cells That Repopulate Tumors. Cancer Research. 75(7). 1191–1196. 68 indexed citations
19.
Zhang, Yi, Ke Tang, Ruihua Ma, et al.. (2014). Cell-free Tumor Microparticle Vaccines Stimulate Dendritic Cells via cGAS/STING Signaling. Cancer Immunology Research. 3(2). 196–205. 125 indexed citations
20.
Ma, Jingwei. (2012). Expression and clinical significance of p-STAT3,VEGF,Survivin in breast cancer. 1 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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