Jue Wang

7.4k total citations · 1 hit paper
258 papers, 4.8k citations indexed

About

Jue Wang is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Jue Wang has authored 258 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Molecular Biology, 82 papers in Oncology and 39 papers in Immunology. Recurrent topics in Jue Wang's work include CAR-T cell therapy research (34 papers), Cancer-related molecular mechanisms research (13 papers) and MicroRNA in disease regulation (12 papers). Jue Wang is often cited by papers focused on CAR-T cell therapy research (34 papers), Cancer-related molecular mechanisms research (13 papers) and MicroRNA in disease regulation (12 papers). Jue Wang collaborates with scholars based in China, United States and Germany. Jue Wang's co-authors include Lars Kaestner, Anna Bogdanova, Asya Makhro, Jianfeng Zhou, Peter Lipp, Usha R. Pendurthi, L. Vijaya Mohan Rao, Yang Cao, Albert B. Reynolds and Fen Huang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Jue Wang

237 papers receiving 4.7k citations

Hit Papers

Hepatic cytochrome P450 8B1 and cholic acid potentiate in... 2022 2026 2023 2024 2022 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jue Wang China 37 2.0k 1.0k 761 551 458 258 4.8k
Dirk Schmidt‐Arras Germany 21 1.4k 0.7× 874 0.8× 1.2k 1.5× 410 0.7× 257 0.6× 44 4.5k
Massimo Sanchez Italy 40 2.1k 1.0× 777 0.8× 1.8k 2.3× 325 0.6× 289 0.6× 140 5.0k
Lu Gao China 41 2.1k 1.0× 900 0.9× 1.2k 1.6× 216 0.4× 277 0.6× 254 5.9k
Masanobu Kitagawa Japan 39 2.1k 1.1× 1.2k 1.2× 826 1.1× 788 1.4× 325 0.7× 291 5.4k
Isao Kitajima Japan 42 2.1k 1.1× 607 0.6× 1.2k 1.6× 467 0.8× 220 0.5× 182 5.7k
Orit Pappo Israel 44 2.5k 1.2× 907 0.9× 872 1.1× 390 0.7× 136 0.3× 166 6.7k
Kazuo Takahashi Japan 50 2.4k 1.2× 538 0.5× 1.6k 2.0× 412 0.7× 217 0.5× 311 8.1k
George Kolios Greece 37 1.7k 0.9× 730 0.7× 1.0k 1.4× 145 0.3× 377 0.8× 191 5.5k
Lucia Malaguarnera Italy 39 1.9k 1.0× 429 0.4× 945 1.2× 316 0.6× 244 0.5× 100 4.8k
Giuliano Ramadori Germany 59 3.1k 1.6× 1.4k 1.4× 1.6k 2.1× 548 1.0× 464 1.0× 375 12.3k

Countries citing papers authored by Jue Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jue Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jue Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Jue Wang. A scholar is included among the top collaborators of Jue Wang 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 Jue Wang. Jue Wang 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.
Yu, Rong, et al.. (2025). Analysis of anomalous cloud-to-ground lightning in a Wuhan tornadic supercell on 14 May 2021. Atmospheric Research. 320. 108056–108056. 2 indexed citations
2.
Wang, Jue, Na Wang, Jinhuan Xu, et al.. (2025). Long-term Therapy Outcomes of CD19/22 CAR T Cell Alone or with Autologous Stem Cell Transplantation for Relapsed/Refractory DLBCL. Blood Cancer Discovery. 7(1). 142–153.
3.
5.
Jiang, Lingxi, Danni Zheng, Juan Ni, et al.. (2024). P2.10B.04 Paclitaxel Liposome Combined with Immunotherapy in the First-Line Treatment of Advanced NSCLC: A Multicenter Real-World Study. Journal of Thoracic Oncology. 19(10). S248–S249. 1 indexed citations
6.
Wang, Jue, Song Wang, Yuefeng Wang, et al.. (2024). Multi-Omics Sequencing Unveils Tumor Microenvironment Remodeling Induced by Combined Radiotherapy and Immunotherapy in Microsatellite-Stable Locally Advanced Rectal Cancer. International Journal of Radiation Oncology*Biology*Physics. 120(2). e492–e492. 1 indexed citations
8.
Guan, Xiaoyu, et al.. (2024). The polymorphism analysis for CD36 among platelet donors. Scientific Reports. 14(1). 8534–8534. 4 indexed citations
9.
Zhang, Weiwei, Ye Wang, Rui Chen, et al.. (2023). Efficacy comparisons of solvent-based paclitaxel, liposomal paclitaxel, nanoparticle albumin-bound paclitaxel, and docetaxel after neoadjuvant systemic treatment in breast cancer. Nanomedicine Nanotechnology Biology and Medicine. 54. 102707–102707. 5 indexed citations
10.
Li, Huiyan, Jue Wang, Xing Chen, et al.. (2023). Tripartite motif containing 69 elicits ERK2-dependent EYA4 turnover to impart pancreatic tumorigenesis. Journal of Cancer. 14(2). 200–218. 1 indexed citations
11.
Xie, Yiting, Sirui Chen, Kundian Guo, et al.. (2023). The impact of MIF deficiency on alterations of fecal microbiota in C57BL /6 mice induced by Trichinella spiralis infection. The FASEB Journal. 37(10). e23202–e23202. 4 indexed citations
12.
Wang, Jue, Yilin Chen, Hong‐Wen Deng, et al.. (2023). Atp6i deficient mouse model uncovers transforming growth factor-β1 /Smad2/3 as a key signaling pathway regulating odontoblast differentiation and tooth root formation. International Journal of Oral Science. 15(1). 6 indexed citations
13.
Wang, Na, Gaoxiang Wang, Liang Huang, et al.. (2022). CAR19/22 T cell cocktail therapy for B-ALL relapsed after allogeneic hematopoietic stem cell transplantation. Cytotherapy. 24(8). 841–849. 14 indexed citations
14.
He, Xijing, Zhenjie Zhang, Junyi Xue, et al.. (2022). Low-dose AAV-CRISPR-mediated liver-specific knock-in restored hemostasis in neonatal hemophilia B mice with subtle antibody response. Nature Communications. 13(1). 7275–7275. 29 indexed citations
15.
Li, Chun, et al.. (2022). Bombyx mori C-Type Lectin (BmIML-2) Inhibits the Proliferation of B. mori Nucleopolyhedrovirus (BmNPV) through Involvement in Apoptosis. International Journal of Molecular Sciences. 23(15). 8369–8369. 9 indexed citations
16.
Wang, Jue, Usha R. Pendurthi, Guohua Yi, & L. Vijaya Mohan Rao. (2021). SARS-CoV-2 infection induces the activation of tissue factor–mediated coagulation via activation of acid sphingomyelinase. Blood. 138(4). 344–349. 33 indexed citations
17.
Wang, Jue, et al.. (2021). Friedelin inhibits the growth and metastasis of human leukemia cells via modulation of MEK/ERK and PI3K/AKT signalling pathways.. PubMed. 25(3). 1594–1599. 5 indexed citations
18.
Li, Yan, Xiang Chen, Qiannan Zhu, et al.. (2021). Retrospective Comparisons of Nanoparticle Albumin-Bound Paclitaxel and Docetaxel Neoadjuvant Regimens for Breast Cancer. Nanomedicine. 16(5). 391–400. 9 indexed citations
19.
Hu, Zhengqing & Jue Wang. (2014). Histone Deacetylase Inhibitor Induces the Expression of Select Epithelial Genes in Mouse Utricle Sensory Epithelia-Derived Progenitor Cells. Cellular Reprogramming. 16(4). 266–275. 5 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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