Weijia Wang

1.1k total citations · 1 hit paper
33 papers, 833 citations indexed

About

Weijia Wang is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Weijia Wang has authored 33 papers receiving a total of 833 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 9 papers in Cancer Research and 5 papers in Immunology. Recurrent topics in Weijia Wang's work include Cancer-related molecular mechanisms research (7 papers), RNA modifications and cancer (5 papers) and Advanced biosensing and bioanalysis techniques (4 papers). Weijia Wang is often cited by papers focused on Cancer-related molecular mechanisms research (7 papers), RNA modifications and cancer (5 papers) and Advanced biosensing and bioanalysis techniques (4 papers). Weijia Wang collaborates with scholars based in China, United States and Austria. Weijia Wang's co-authors include Hang‐zi Chen, Qiao Wu, Yuan-li Ai, Bo Zhou, Zhi‐Hong Jiang, Fu-Nan Li, Dawang Zhou, Kang Cheng, Yuanyuan Lei and Chunliang Wang and has published in prestigious journals such as Nature Medicine, Analytical Chemistry and Journal of Ethnopharmacology.

In The Last Decade

Weijia Wang

33 papers receiving 828 citations

Hit Papers

The metabolite α-KG induces GSDMC-dependent pyroptosis th... 2021 2026 2022 2024 2021 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The metabolite α-KG induces GSDMC-dependent pyroptosis through death receptor 6-activated caspase-8
    2021 270 citations Bo Zhou, Yuan-li Ai et al. Cell Research profile →

Peers

Weijia Wang
Xiaoping Zhou China
Haisheng Zhou China
Piotr Zawierucha Poland
Venkatesh V. Nemmara United States
Emily N. Chin United States
Mee‐Young Ahn South Korea
Tomas Bratt Denmark
Ruijuan Du China
Dingyuan Ma China
Shimeng Zhang China
Xiaoping Zhou China
Weijia Wang
Citations per year, relative to Weijia Wang Weijia Wang (= 1×) peers Xiaoping Zhou

Countries citing papers authored by Weijia Wang

Since Specialization
Citations

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

Fields of papers citing papers by Weijia Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weijia Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Weijia Wang. A scholar is included among the top collaborators of Weijia 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 Weijia Wang. Weijia 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.
Wu, Qingqing, Meixiang Chen, Tongchuan Yi, et al.. (2025). Algorithm for Detecting Trees Affected by Pine Wilt Disease in Complex Scenes Based on CNN-Transformer. Forests. 16(4). 596–596. 3 indexed citations
2.
Wang, Weijia, et al.. (2025). Targeting ferroptosis: the role of non-coding RNAs in hepatocellular carcinoma progression and therapy. Naunyn-Schmiedeberg s Archives of Pharmacology. 398(6). 6335–6348. 1 indexed citations
3.
Wu, Qingqing, et al.. (2025). A lightweight segmentation model toward timely processing for identification of pine wood nematode affected trees with UAV. Plant Methods. 21(1). 68–68. 1 indexed citations
4.
5.
Wang, Weijia, Juan Wang, Rong Zeng, et al.. (2024). Homogeneous electrochemiluminescence biosensor for hyaluronidase based on the regulation of hyaluronic acid coating on magnetic nanoparticles. Microchemical Journal. 207. 112131–112131. 3 indexed citations
6.
Ai, Yuan-li, Weijia Wang, Fang Wei, et al.. (2023). Mannose antagonizes GSDME-mediated pyroptosis through AMPK activated by metabolite GlcNAc-6P. Cell Research. 33(12). 904–922. 70 indexed citations
7.
Zhang, Xiaoming, et al.. (2023). KLF4 suppresses the proliferation of perihilar cholangiocarcinoma by negatively regulating GDF15 and phosphorylating AKT. Oncology Reports. 50(6). 3 indexed citations
8.
Su, Chang, Yuxin Yang, Qianru Wang, et al.. (2023). Targeting Glutamine Metabolism through Glutaminase Inhibition Suppresses CellProliferation and Progression in Nasopharyngeal Carcinoma. Anti-Cancer Agents in Medicinal Chemistry. 23(17). 1944–1957. 6 indexed citations
9.
Wang, Weijia, Jing Liu, Kang Chen, et al.. (2021). Vitamin D promotes autophagy in AML cells by inhibiting miR-17-5p-induced Beclin-1 overexpression. Molecular and Cellular Biochemistry. 476(11). 3951–3962. 10 indexed citations
10.
Zhou, Bo, Yuan-li Ai, Kang Cheng, et al.. (2021). The metabolite α-KG induces GSDMC-dependent pyroptosis through death receptor 6-activated caspase-8. Cell Research. 31(9). 980–997. 270 indexed citations breakdown →
11.
Jiang, Zhenzhen, et al.. (2021). CYP2C9 inhibits the invasion and migration of esophageal squamous cell carcinoma via downregulation of HDAC. Molecular and Cellular Biochemistry. 476(5). 2011–2020. 7 indexed citations
12.
13.
Du, Jiawei, Ming Zong, Weijia Wang, et al.. (2020). Argonaute 2 is a key regulator of maternal mRNA degradation in mouse early embryos. Cell Death Discovery. 6(1). 133–133. 18 indexed citations
14.
Qin, Yan, et al.. (2020). Overexpression of AMPD2 indicates poor prognosis in colorectal cancer patients via the Notch3 signaling pathway. World Journal of Clinical Cases. 8(15). 3197–3208. 4 indexed citations
15.
Wang, Juan, Jian‐Yu Jiao, Weijia Wang, et al.. (2019). Serratia microhaemolytica sp. nov., isolated from an artificial lake in Southern China. Antonie van Leeuwenhoek. 112(10). 1447–1456. 3 indexed citations
16.
Xiong, Xing, et al.. (2019). HSDL2 Promotes Bladder Cancer Growth In Vitro and In Vivo. International Journal of Medical Sciences. 16(5). 654–659. 8 indexed citations
17.
Kang, Xiaojing, Jianyong Liu, Wenzheng Li, et al.. (2016). Six generations of epidermolytic palmoplantar keratoderma, associated with a KRT9 R163W mutation. Cancer Genetics. 209(11). 515–524. 3 indexed citations
18.
Lei, Yuanyuan, et al.. (2014). Mitogen-Activated Protein Kinase Signal Transduction in Solid Tumors. Asian Pacific Journal of Cancer Prevention. 15(20). 8539–8548. 79 indexed citations
19.
Yao, Luming, Jianping He, Hang‐zi Chen, et al.. (2011). Orphan receptor TR3 participates in cisplatin-induced apoptosis via Chk2 phosphorylation to repress intestinal tumorigenesis. Carcinogenesis. 33(2). 301–311. 28 indexed citations
20.
Wang, Weijia, Xiuming Zhang, Shifeng Huang, et al.. (2009). ICAT as a potential enhancer of monocytic differentiation: implications from the comparative proteome analysis of the HL60 cell line stimulated by all‐trans retinoic acid and NSC67657. Cell Biochemistry and Function. 27(6). 329–337. 3 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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