Jiabei Wang

5.5k total citations
84 papers, 2.9k citations indexed

About

Jiabei Wang is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Jiabei Wang has authored 84 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 25 papers in Cancer Research and 24 papers in Oncology. Recurrent topics in Jiabei Wang's work include RNA modifications and cancer (15 papers), Cancer, Hypoxia, and Metabolism (11 papers) and Cancer-related molecular mechanisms research (10 papers). Jiabei Wang is often cited by papers focused on RNA modifications and cancer (15 papers), Cancer, Hypoxia, and Metabolism (11 papers) and Cancer-related molecular mechanisms research (10 papers). Jiabei Wang collaborates with scholars based in China, United States and Hong Kong. Jiabei Wang's co-authors include Tongsen Zheng, Lianxin Liu, Lianxin Liu, Hongchi Jiang, Yingjian Liang, Shangha Pan, Ruipeng Song, Dalong Yin, Xuan Song and Xi Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Jiabei Wang

80 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiabei Wang China 30 1.6k 1.0k 577 270 254 84 2.9k
Xiaohui Wang China 29 1.5k 0.9× 956 0.9× 448 0.8× 253 0.9× 376 1.5× 133 3.0k
Ming‐Hong Tai Taiwan 32 1.6k 1.0× 557 0.5× 583 1.0× 222 0.8× 292 1.1× 116 3.2k
Zhenyu Yin China 32 1.8k 1.1× 635 0.6× 515 0.9× 256 0.9× 357 1.4× 87 3.2k
Shizhong Bu China 30 1.5k 0.9× 626 0.6× 298 0.5× 250 0.9× 197 0.8× 86 2.6k
Xuqi Li China 36 1.5k 0.9× 910 0.9× 1.1k 1.9× 266 1.0× 343 1.4× 105 3.3k
Gang Yin China 28 3.2k 2.0× 1.6k 1.6× 863 1.5× 412 1.5× 368 1.4× 100 4.6k
Laura C. Greaves United Kingdom 32 2.3k 1.4× 448 0.4× 373 0.6× 228 0.8× 201 0.8× 54 3.5k
Yuh-Lih Chang Taiwan 29 1.4k 0.9× 462 0.5× 568 1.0× 171 0.6× 170 0.7× 56 2.5k
Zhaohui Jin United States 27 1.3k 0.8× 466 0.5× 1.1k 1.9× 585 2.2× 248 1.0× 138 3.0k

Countries citing papers authored by Jiabei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jiabei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiabei Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Jiabei Wang. A scholar is included among the top collaborators of Jiabei 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 Jiabei Wang. Jiabei 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.
2.
Lu, Hua, Yao Liu, Jiabei Wang, et al.. (2025). Micropeptide hSPAR regulates glutamine levels and suppresses mammary tumor growth via a TRIM21-P27KIP1-mTOR axis. The EMBO Journal. 44(5). 1414–1441. 3 indexed citations
3.
Sun, Hui‐Chuan, Zhiyong Huang, Lianxin Liu, et al.. (2025). Adjuvant Lenvatinib for High-Risk CNLC IIb/IIIa Hepatocellular Carcinoma After Curative Hepatectomy: A Prospective Exploratory Study. Journal of Hepatocellular Carcinoma. Volume 12. 1043–1056.
4.
Chen, Hongyu, Ruifeng Xu, Jianhao Wang, et al.. (2025). Maternal behavior promotes resilience to adolescent stress in mice through a microglia-neuron axis. Nature Communications. 16(1). 2333–2333. 2 indexed citations
5.
Zhou, Shuo, Yao Liu, Ning Zhang, et al.. (2025). Glycolytic enzyme PFKFB4 governs lipolysis by promoting de novo lipogenesis to drive the progression of hepatocellular carcinoma. Cancer Letters. 626. 217774–217774. 2 indexed citations
6.
Meng, Fanzheng, Dalong Yin, Jiabei Wang, et al.. (2024). Adjuvant donafenib for hepatocellular carcinoma patients at high-risk of recurrence after radical resection: a real-world experience. Therapeutic Advances in Medical Oncology. 16. 12703130–12703130. 1 indexed citations
7.
Wang, Jiabei, et al.. (2024). PRDM16 Induces Methylation of FLT3 to Promote FLT3-ITD Signaling and Leukemia Progression. Cancer Research. 85(3). 535–550.
8.
Wang, Jiabei, Yao Liu, Hongyan Zhang, et al.. (2024). HnRNPR-mediated UPF3B mRNA splicing drives hepatocellular carcinoma metastasis. Journal of Advanced Research. 68. 257–270. 6 indexed citations
9.
Liu, Yufeng, Xinyu Guo, Tianming Cui, et al.. (2024). Acetylation-dependent regulation of core spliceosome modulates hepatocellular carcinoma cassette exons and sensitivity to PARP inhibitors. Nature Communications. 15(1). 5209–5209. 9 indexed citations
10.
Wang, Jiabei, Yunguang Zhang, Linmao Sun, & Yao Liu. (2023). IMMT promotes hepatocellular carcinoma formation via PI3K/AKT/mTOR pathway. ONCOLOGIE. 25(6). 691–703. 2 indexed citations
11.
Wang, Jiabei, Linmao Sun, Yao Liu, & Yunguang Zhang. (2023). FIGNL1 Promotes Hepatocellular Carcinoma Formation via RemodelingECM-receptor Interaction Pathway Mediated by HMMR. Current Gene Therapy. 24(3). 249–263. 6 indexed citations
12.
Gao, Feng, Jianhao Wang, Hang Yu, et al.. (2023). SERS-Based Optical Nanobiosensors for the Detection of Alzheimer’s Disease. Biosensors. 13(9). 880–880. 17 indexed citations
13.
Li, Heng, Yao Liu, Shuhang Liang, et al.. (2023). UBE2O reduces the effectiveness of interferon-α via degradation of IFIT3 in hepatocellular carcinoma. Cell Death and Disease. 14(12). 854–854. 13 indexed citations
14.
Liang, Shuhang, Hongrui Guo, Kun Ma, et al.. (2021). A PLCB1–PI3K–AKT Signaling Axis Activates EMT to Promote Cholangiocarcinoma Progression. Cancer Research. 81(23). 5889–5903. 63 indexed citations
15.
Liang, Yingjian, Dandan Zhang, Tongsen Zheng, et al.. (2020). lncRNA-SOX2OT promotes hepatocellular carcinoma invasion and metastasis through miR-122-5p-mediated activation of PKM2. Oncogenesis. 9(5). 54–54. 47 indexed citations
16.
Sun, Haoyu, Lianxin Liu, Qiang Huang, et al.. (2019). Accumulation of Tumor-Infiltrating CD49a+ NK Cells Correlates with Poor Prognosis for Human Hepatocellular Carcinoma. Cancer Immunology Research. 7(9). 1535–1546. 72 indexed citations
17.
18.
Wu, Lihua, Haiyang Yu, Yuhan Zhao, et al.. (2015). HIF-2α mediates hypoxia-induced LIF expression in human colorectal cancer cells. Oncotarget. 6(6). 4406–4417. 41 indexed citations
19.
Song, Xuan, Jiabei Wang, Dalong Yin, et al.. (2009). Down-regulation of lung resistance related protein by RNA interference targeting survivin induces the reversal of chemoresistances in hepatocellular carcinoma.. PubMed. 122(21). 2636–42. 10 indexed citations
20.
Xu, Heng, Yifeng Lu, John S. Partilla, et al.. (1999). Opioid peptide receptor studies, 11: Involvement of Tyr148, Trp318 and His319 of the rat ?-opioid receptor in binding of ?-selective ligands. Synapse. 32(1). 23–28. 41 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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