Daichao Wu

2.6k total citations · 2 hit papers
37 papers, 1.6k citations indexed

About

Daichao Wu is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Daichao Wu has authored 37 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 12 papers in Immunology and 11 papers in Oncology. Recurrent topics in Daichao Wu's work include CAR-T cell therapy research (8 papers), Immunotherapy and Immune Responses (6 papers) and Cancer Immunotherapy and Biomarkers (5 papers). Daichao Wu is often cited by papers focused on CAR-T cell therapy research (8 papers), Immunotherapy and Immune Responses (6 papers) and Cancer Immunotherapy and Biomarkers (5 papers). Daichao Wu collaborates with scholars based in China, United States and Russia. Daichao Wu's co-authors include Dana Nau, Jaimie Murdock, Fusun Yaman, Tsz-Chiu Au, Ugur Kuter, Okhtay Ilghami, Meixiang Li, Hui Guo, Juan Wang and Yongheng Chen and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Blood.

In The Last Decade

Daichao Wu

35 papers receiving 1.5k citations

Hit Papers

SHOP2: An HTN Planning System 2003 2026 2010 2018 2003 2019 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daichao Wu China 17 551 413 314 202 190 37 1.6k
Yingying Yu China 14 173 0.3× 380 0.9× 94 0.3× 85 0.4× 89 0.5× 47 1.1k
Satya Prakash Yadav India 19 173 0.3× 151 0.4× 347 1.1× 221 1.1× 128 0.7× 89 1.3k
David Bednarski United States 8 539 1.0× 1.4k 3.4× 171 0.5× 41 0.2× 72 0.4× 9 2.2k
Toshiaki Miyazaki Japan 24 235 0.4× 801 1.9× 36 0.1× 91 0.5× 272 1.4× 130 2.4k
Jayasree Sengupta India 22 179 0.3× 182 0.4× 807 2.6× 496 2.5× 406 2.1× 115 2.1k
Xiaoning Peng China 17 246 0.4× 617 1.5× 91 0.3× 46 0.2× 33 0.2× 56 1.2k
Lizong Zhang China 15 270 0.5× 122 0.3× 80 0.3× 51 0.3× 118 0.6× 55 827
Yongzhi Cao China 21 365 0.7× 186 0.5× 217 0.7× 279 1.4× 34 0.2× 99 1.1k
Johnson I. Agbinya Australia 17 107 0.2× 692 1.7× 32 0.1× 32 0.2× 91 0.5× 139 2.0k
Waibhav Tembe United States 17 590 1.1× 1.1k 2.7× 14 0.0× 273 1.4× 71 0.4× 31 2.5k

Countries citing papers authored by Daichao Wu

Since Specialization
Citations

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

Fields of papers citing papers by Daichao Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daichao Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Daichao Wu. A scholar is included among the top collaborators of Daichao 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 Daichao Wu. Daichao 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.
Zhao, Jianfeng, Ying‐Wu Lin, Mostafa A. Elbahnasawy, et al.. (2025). Structural insights into clonal restriction and diversity in T cell recognition of two immunodominant SARS-CoV-2 nucleocapsid epitopes. Nature Communications. 16(1). 11457–11457.
2.
Liu, Jie, Yuxiao Wang, Jing Li, et al.. (2025). Development and assessment of the health-related quality of life scale for children with hearing loss in China. BMC Public Health. 25(1). 39–39.
3.
Liu, Xiaohong, et al.. (2025). Decoding tumor angiogenesis: pathways, mechanisms, and future directions in anti-cancer strategies. Biomarker Research. 13(1). 62–62. 15 indexed citations
4.
Chang, Chunkang, Min Zhang, Sujun Gao, et al.. (2024). Rovadicitinib in Patients with Myelofibrosis Who Were Refractory or Relapsed or Intolerant to Ruxolitinib: A Single Arm, Multicenter, Open-Label, Phase Ib Study. Blood. 144(Supplement 1). 484–484. 1 indexed citations
5.
Wu, Daichao, Rui Yin, Helder Veras Ribeiro Filho, et al.. (2024). Structural characterization and AlphaFold modeling of human T cell receptor recognition of NRAS cancer neoantigens. Science Advances. 10(47). eadq6150–eadq6150. 9 indexed citations
6.
Liu, Cheng, Huimin Jin, Hong Wang, et al.. (2024). Focusing on CD8+ T-cell phenotypes: improving solid tumor therapy. Journal of Experimental & Clinical Cancer Research. 43(1). 266–266. 7 indexed citations
7.
Duan, Zhihui, et al.. (2023). Advances, opportunities and challenges in developing therapeutic cancer vaccines. Critical Reviews in Oncology/Hematology. 193. 104198–104198. 4 indexed citations
8.
Mariuzza, Roy A., Daichao Wu, & Brian G. Pierce. (2023). Structural basis for T cell recognition of cancer neoantigens and implications for predicting neoepitope immunogenicity. Frontiers in Immunology. 14. 1303304–1303304. 11 indexed citations
9.
Wu, Daichao, et al.. (2023). Structural insights into protection against a SARS-CoV-2 spike variant by T cell receptor diversity. Journal of Biological Chemistry. 299(4). 103035–103035. 14 indexed citations
10.
Wu, Daichao, A. V. Kolesnikov, Rui Yin, et al.. (2022). Structural assessment of HLA-A2-restricted SARS-CoV-2 spike epitopes recognized by public and private T-cell receptors. Nature Communications. 13(1). 27 indexed citations
11.
Li, Yukun, Xiaojuan Chen, Juan Wang, et al.. (2021). FGFR-TKI resistance in cancer: current status and perspectives. Journal of Hematology & Oncology. 14(1). 23–23. 99 indexed citations
12.
Li, Yukun, Juan Zou, Qunfeng Zhang, et al.. (2021). Systemic Analysis of the DNA Replication Regulator MCM Complex in Ovarian Cancer and Its Prognostic Value. Frontiers in Oncology. 11. 681261–681261. 18 indexed citations
13.
Guo, Ming, Shuyan Dai, Daichao Wu, et al.. (2020). Characterization of ibrutinib as a non-covalent inhibitor of SRC-family kinases. Bioorganic & Medicinal Chemistry Letters. 34. 127757–127757. 10 indexed citations
14.
Wu, Daichao, D. Travis Gallagher, Ragul Gowthaman, Brian G. Pierce, & Roy A. Mariuzza. (2020). Structural basis for oligoclonal T cell recognition of a shared p53 cancer neoantigen. Nature Communications. 11(1). 2908–2908. 45 indexed citations
15.
Li, Yan, Chang-ye Chen, Yan Ma, et al.. (2019). Multi-system reproductive metabolic disorder: significance for the pathogenesis and therapy of polycystic ovary syndrome (PCOS). Life Sciences. 228. 167–175. 125 indexed citations
16.
Wang, Juan, Daichao Wu, Hui Guo, & Meixiang Li. (2019). Hyperandrogenemia and insulin resistance: The chief culprit of polycystic ovary syndrome. Life Sciences. 236. 116940–116940. 218 indexed citations breakdown →
17.
Zou, Ju, Daichao Wu, Tao Li, et al.. (2018). Association of PD-L1 gene rs4143815 C>G polymorphism and human cancer susceptibility: A systematic review and meta-analysis. Pathology - Research and Practice. 215(2). 229–234. 30 indexed citations
18.
Li, Jun, Longying Jiang, Xujun Liang, et al.. (2017). DNA-binding properties of FOXP3 transcription factor. Acta Biochimica et Biophysica Sinica. 49(9). 792–799. 16 indexed citations
19.
Wu, Daichao, Lingzhi Qu, Yang Fu, et al.. (2016). Expression and purification of the kinase domain of PINK1 in Pichia pastoris. Protein Expression and Purification. 128. 67–72. 4 indexed citations
20.
Wu, Daichao, Ming Guo, Lingzhi Qu, et al.. (2016). Crystal Structure of the FGFR4/LY2874455 Complex Reveals Insights into the Pan-FGFR Selectivity of LY2874455. PLoS ONE. 11(9). e0162491–e0162491. 32 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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