Xiangji Wu

716 total citations
4 papers, 47 citations indexed

About

Xiangji Wu is a scholar working on Oncology, Cell Biology and Physiology. According to data from OpenAlex, Xiangji Wu has authored 4 papers receiving a total of 47 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 2 papers in Cell Biology and 1 paper in Physiology. Recurrent topics in Xiangji Wu's work include Cancer Immunotherapy and Biomarkers (2 papers), Cellular Mechanics and Interactions (2 papers) and Cancer Cells and Metastasis (2 papers). Xiangji Wu is often cited by papers focused on Cancer Immunotherapy and Biomarkers (2 papers), Cellular Mechanics and Interactions (2 papers) and Cancer Cells and Metastasis (2 papers). Xiangji Wu collaborates with scholars based in China and France. Xiangji Wu's co-authors include Hong Jiang, Wenting Liao, Ping Wang, Yiduo Zhou, Junbin Qian, Wenyan Xie, Lang Chen, Hao Kong, Lu Chen and Zong‐Guang Zhou and has published in prestigious journals such as Frontiers in Immunology, Cancer Discovery and Cancer Research Communications.

In The Last Decade

Xiangji Wu

4 papers receiving 47 citations

Peers

Xiangji Wu
Elizabeth Sirmans United States
Andrew R. Patterson United States
Deviana Burhan United States
Gabriela Steiner United States
Amanda Erakky United States
Xiangji Wu
Citations per year, relative to Xiangji Wu Xiangji Wu (= 1×) peers Alexander J. Li

Countries citing papers authored by Xiangji Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xiangji Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangji Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiangji Wu. A scholar is included among the top collaborators of Xiangji Wu 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 Xiangji Wu. Xiangji Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
1.
Xie, Wenyan, Xin Yu, Nengwen Ke, et al.. (2025). The Immunomechanical Checkpoint PYK2 Governs Monocyte-to-Macrophage Differentiation in Pancreatic Cancer. Cancer Discovery. 15(8). 1740–1765. 6 indexed citations
2.
Wu, Xiangji, et al.. (2024). Targeting extracellular matrix stiffness for cancer therapy. Frontiers in Immunology. 15. 1467602–1467602. 11 indexed citations
3.
Kong, Hao, Xiangji Wu, Li‐Bin Huang, et al.. (2024). Spatial Context of Immune Checkpoints as Predictors of Overall Survival in Patients with Resectable Colorectal Cancer Independent of Standard Tumor–Node–Metastasis Stages. Cancer Research Communications. 4(11). 3025–3035. 1 indexed citations
4.
Zhou, Yiduo, Lang Chen, Xiangji Wu, et al.. (2023). Receptor-interacting Protein Kinase 2 Is an Immunotherapy Target in Pancreatic Cancer. Cancer Discovery. 14(2). 326–347. 29 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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