Xiaodi Wu

6.4k total citations
38 papers, 2.6k citations indexed

About

Xiaodi Wu is a scholar working on Immunology, Molecular Biology and Surgery. According to data from OpenAlex, Xiaodi Wu has authored 38 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 14 papers in Molecular Biology and 5 papers in Surgery. Recurrent topics in Xiaodi Wu's work include T-cell and B-cell Immunology (10 papers), Immunotherapy and Immune Responses (9 papers) and Immune Cell Function and Interaction (6 papers). Xiaodi Wu is often cited by papers focused on T-cell and B-cell Immunology (10 papers), Immunotherapy and Immune Responses (9 papers) and Immune Cell Function and Interaction (6 papers). Xiaodi Wu collaborates with scholars based in China, United States and Switzerland. Xiaodi Wu's co-authors include Kenneth M. Murphy, Nicole M. Kretzer, Carlos G. Briseño, Jörn C. Albring, Gary E. Grajales‐Reyes, Ansuman T. Satpathy, Arifumi Iwata, Theresa L. Murphy, Roxane Tussiwand and Vivek Durai and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Xiaodi Wu

37 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaodi Wu China 20 1.8k 647 370 178 168 38 2.6k
Alexander D. Barrow United States 25 2.0k 1.1× 645 1.0× 556 1.5× 118 0.7× 219 1.3× 38 2.8k
Dimitris Skokos United States 18 1.5k 0.8× 700 1.1× 335 0.9× 137 0.8× 92 0.5× 28 2.2k
Ivana M. Djuretic United States 16 1.7k 0.9× 500 0.8× 573 1.5× 212 1.2× 141 0.8× 27 2.3k
Myriam Armant United States 28 1.1k 0.6× 720 1.1× 376 1.0× 216 1.2× 144 0.9× 55 2.2k
Jun Dong Germany 21 1.3k 0.7× 552 0.9× 307 0.8× 80 0.4× 189 1.1× 57 2.2k
Marita Bosticardo Italy 26 974 0.5× 458 0.7× 475 1.3× 107 0.6× 146 0.9× 54 1.7k
Tai‐Gyu Kim South Korea 27 1.4k 0.8× 617 1.0× 639 1.7× 92 0.5× 272 1.6× 170 2.3k
Marina Garín Spain 21 1.0k 0.6× 592 0.9× 517 1.4× 108 0.6× 155 0.9× 47 2.0k
Machteld M. Tiemessen Netherlands 18 1.2k 0.7× 662 1.0× 351 0.9× 223 1.3× 194 1.2× 29 2.4k
Shaun W. Jackson United States 25 1.6k 0.9× 465 0.7× 354 1.0× 84 0.5× 207 1.2× 42 2.3k

Countries citing papers authored by Xiaodi Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaodi Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaodi Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaodi Wu. A scholar is included among the top collaborators of Xiaodi 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 Xiaodi Wu. Xiaodi Wu 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, Xiaodi & Ross L. Levine. (2025). A new link in the leukemia genetic puzzle. Genes & Development. 39(19-20). 1129–1131.
2.
Li, Xin, Ziyi Jiang, Xiaodi Wu, et al.. (2024). Metabolic activation and cytochrome P450 inhibition of piperlonguminine mediated by CYP3A4. International Journal of Biological Macromolecules. 268(Pt 2). 131502–131502. 2 indexed citations
3.
Li, Xin, et al.. (2024). Qualitative and quantitative analysis of chemical components in Qianggan capsule by UHPLC-Q-TOF-MS/MS and LC-sMRM. Journal of Chromatography A. 1728. 465020–465020. 6 indexed citations
4.
Cheng, Xiao, Yan Zhang, Yuncheng Liu, et al.. (2024). Loss of ZNF408 attenuates STING-mediated immune surveillance in breast carcinogenesis. iScience. 27(7). 110276–110276. 2 indexed citations
5.
Stonestrom, Aaron J., Kamal Menghrajani, Sean M. Devlin, et al.. (2023). High-risk and silent clonal hematopoietic genotypes in patients with nonhematologic cancer. Blood Advances. 8(4). 846–856. 5 indexed citations
6.
Wang, Yue, Yongjie Liu, Cuifang Liu, et al.. (2023). NFIB facilitates replication licensing by acting as a genome organizer. Nature Communications. 14(1). 5076–5076. 6 indexed citations
7.
Peng, Yani, Xiaoping Liu, Xinhua Liu, et al.. (2023). RCCD1 promotes breast carcinogenesis through regulating hypoxia-associated mitochondrial homeostasis. Oncogene. 42(50). 3684–3697. 1 indexed citations
8.
Liu, Beibei, Lulu Han, Xing Chen, et al.. (2022). BRD4-directed super-enhancer organization of transcription repression programs links to chemotherapeutic efficacy in breast cancer. Proceedings of the National Academy of Sciences. 119(6). 70 indexed citations
9.
Huo, Yingying, Yong Xu, Xiaodi Wu, et al.. (2022). Functional Trachea Reconstruction Using 3D‐Bioprinted Native‐Like Tissue Architecture Based on Designable Tissue‐Specific Bioinks. Advanced Science. 9(29). e2202181–e2202181. 69 indexed citations
10.
Hua, Yujie, Yingying Huo, Baoshuai Bai, et al.. (2022). Fabrication of biphasic cartilage-bone integrated scaffolds based on tissue-specific photo-crosslinkable acellular matrix hydrogels. Materials Today Bio. 17. 100489–100489. 35 indexed citations
11.
Xu, Wei, Ya‐Hui Wang, Xiaodi Wu, et al.. (2022). An Injectable Platform of Engineered Cartilage Gel and Gelatin Methacrylate to Promote Cartilage Regeneration. Frontiers in Bioengineering and Biotechnology. 10. 884036–884036. 12 indexed citations
12.
He, Lin, Ruorong Yan, Yue Zhang, et al.. (2021). SCF JFK is functionally linked to obesity and metabolic syndrome. EMBO Reports. 22(7). e52036–e52036. 4 indexed citations
13.
Zhang, Zihan, Xiaoping Liu, Lei Li, et al.. (2021). SNP rs4971059 predisposes to breast carcinogenesis and chemoresistance via TRIM46‐mediated HDAC1 degradation. The EMBO Journal. 40(19). e107974–e107974. 21 indexed citations
14.
Wu, Jiajing, Xinhua Liu, Yue Wang, et al.. (2020). Circadian Rhythm Is Disrupted by ZNF704 in Breast Carcinogenesis. Cancer Research. 80(19). 4114–4128. 25 indexed citations
16.
Briseño, Carlos G., Malay Haldar, Nicole M. Kretzer, et al.. (2016). Distinct Transcriptional Programs Control Cross-Priming in Classical and Monocyte-Derived Dendritic Cells. Cell Reports. 15(11). 2462–2474. 152 indexed citations
17.
Murphy, Theresa L., Gary E. Grajales‐Reyes, Xiaodi Wu, et al.. (2016). Transcriptional Control of Dendritic Cell Development. Annual Review of Immunology. 34(1). 93–119. 346 indexed citations
18.
Tussiwand, Roxane, Bart Everts, Gary E. Grajales‐Reyes, et al.. (2015). Klf4 Expression in Conventional Dendritic Cells Is Required for T Helper 2 Cell Responses. Immunity. 42(5). 916–928. 309 indexed citations
19.
Haldar, Malay, Masako Kohyama, Alex Yick‐Lun So, et al.. (2014). Heme-Mediated SPI-C Induction Promotes Monocyte Differentiation into Iron-Recycling Macrophages. Cell. 156(6). 1223–1234. 318 indexed citations
20.
Satpathy, Ansuman T., Xiaodi Wu, Jörn C. Albring, & Kenneth M. Murphy. (2012). Re(de)fining the dendritic cell lineage. Nature Immunology. 13(12). 1145–1154. 327 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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