Jiadi Lv

4.5k total citations · 4 hit papers
37 papers, 2.3k citations indexed

About

Jiadi Lv is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Jiadi Lv has authored 37 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Immunology, 14 papers in Molecular Biology and 10 papers in Oncology. Recurrent topics in Jiadi Lv's work include Immune Cell Function and Interaction (8 papers), Immune cells in cancer (8 papers) and Cellular Mechanics and Interactions (5 papers). Jiadi Lv is often cited by papers focused on Immune Cell Function and Interaction (8 papers), Immune cells in cancer (8 papers) and Cellular Mechanics and Interactions (5 papers). Jiadi Lv collaborates with scholars based in China, United States and Sweden. Jiadi Lv's co-authors include Ke Tang, Yuying Liu, Bo Huang, Jingwei Ma, Yabo Zhou, Jing Xie, Xiaoyu Liang, Feiran Cheng, Nannan Zhou and Tianzhen Zhang and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Jiadi Lv

35 papers receiving 2.2k citations

Hit Papers

Gasdermin E–mediated target cell pyroptosis by CAR T cell... 2018 2026 2020 2023 2020 2018 2024 2024 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiadi Lv China 22 1.2k 797 491 369 325 37 2.3k
Jingwei Ma China 30 1.7k 1.5× 1.1k 1.3× 565 1.2× 807 2.2× 466 1.4× 63 3.1k
Hua Xiang China 30 1.2k 1.1× 575 0.7× 433 0.9× 355 1.0× 260 0.8× 98 2.6k
Yabo Zhou China 19 793 0.7× 615 0.8× 469 1.0× 177 0.5× 222 0.7× 39 1.7k
Shuli Zhao China 27 1.1k 1.0× 723 0.9× 489 1.0× 484 1.3× 107 0.3× 78 2.1k
Chiara Camisaschi Italy 18 956 0.8× 800 1.0× 789 1.6× 354 1.0× 193 0.6× 32 2.1k
Haocai Chang China 14 886 0.8× 600 0.8× 436 0.9× 339 0.9× 315 1.0× 21 1.9k
Wenyan Fu China 23 1.0k 0.9× 371 0.5× 502 1.0× 372 1.0× 181 0.6× 57 2.2k
Wenbin Qian China 30 1.4k 1.2× 585 0.7× 997 2.0× 211 0.6× 148 0.5× 170 2.8k
Guangfu Li United States 28 984 0.8× 644 0.8× 821 1.7× 380 1.0× 183 0.6× 96 2.4k

Countries citing papers authored by Jiadi Lv

Since Specialization
Citations

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

Fields of papers citing papers by Jiadi Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiadi Lv

This figure shows the co-authorship network connecting the top 25 collaborators of Jiadi Lv. A scholar is included among the top collaborators of Jiadi Lv 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 Jiadi Lv. Jiadi Lv 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.
Zhou, Li, Dongxiao Wu, Yabo Zhou, et al.. (2025). Heterozygous human JAK2V617F activates AhR to drive essential thrombocythemia and promote thrombosis. The Journal of Experimental Medicine. 222(12).
2.
Wei, Keke, Liang Tang, Xin Zhang, et al.. (2025). Lithium carbonate induces myofibroblast necroptosis to reverse pulmonary fibrosis. 1(1).
3.
Li, Yonggang, Yutong Liu, Huafeng Zhang, et al.. (2025). Succinate-loaded tumor cell–derived microparticles reprogram tumor-associated macrophage metabolism. Science Translational Medicine. 17(793). eadr4458–eadr4458. 11 indexed citations
4.
Zhou, Yabo, Chaoying Zhang, Yan Kang, et al.. (2025). Glucose-1-phosphate promotes compartmentalization of glycogen with the pentose phosphate pathway in CD8+ memory T cells. Molecular Cell. 85(13). 2535–2549.e10. 2 indexed citations
5.
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
6.
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
7.
Zhou, Nannan, Jie Chen, Ling Zheng, et al.. (2023). Aryl hydrocarbon receptor sulfenylation promotes glycogenolysis and rescues cancer chemoresistance. Journal of Clinical Investigation. 133(24). 19 indexed citations
8.
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
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, Huafeng Zhang, Dianheng Wang, et al.. (2022). Ammonia detoxification promotes CD8+ T cell memory development by urea and citrulline cycles. Nature Immunology. 24(1). 162–173. 61 indexed citations
11.
Wang, Zhenfeng, Jiadi Lv, Pin Yü, et al.. (2022). SARS-CoV-2 treatment effects induced by ACE2-expressing microparticles are explained by the oxidized cholesterol-increased endosomal pH of alveolar macrophages. Cellular and Molecular Immunology. 19(2). 210–221. 24 indexed citations
12.
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
13.
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
14.
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
15.
Liu, Yuying, Jiadi Lv, Jiangning Liu, et al.. (2020). Mucus production stimulated by IFN-AhR signaling triggers hypoxia of COVID-19. Cell Research. 30(12). 1078–1087. 92 indexed citations
16.
Tang, Ke, Yuandong Yu, Liyan Zhu, et al.. (2019). Hypoxia-reprogrammed tricarboxylic acid cycle promotes the growth of human breast tumorigenic cells. Oncogene. 38(44). 6970–6984. 48 indexed citations
17.
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
18.
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
19.
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
20.
Chen, Degao, Jing Xie, Roland Fiskesund, et al.. (2018). Chloroquine modulates antitumor immune response by resetting tumor-associated macrophages toward M1 phenotype. Nature Communications. 9(1). 873–873. 389 indexed citations breakdown →

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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