Zhida Liu

3.6k total citations · 2 hit papers
63 papers, 2.3k citations indexed

About

Zhida Liu is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Zhida Liu has authored 63 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Immunology, 18 papers in Molecular Biology and 18 papers in Oncology. Recurrent topics in Zhida Liu's work include Immunotherapy and Immune Responses (14 papers), Cancer Immunotherapy and Biomarkers (13 papers) and Immune Cell Function and Interaction (9 papers). Zhida Liu is often cited by papers focused on Immunotherapy and Immune Responses (14 papers), Cancer Immunotherapy and Biomarkers (13 papers) and Immune Cell Function and Interaction (9 papers). Zhida Liu collaborates with scholars based in China, United States and Singapore. Zhida Liu's co-authors include Yang‐Xin Fu, Chuanhui Han, Yang-Xin Fu, Anli Zhang, Chunbo Dong, Zhichen Sun, Jian Qiao, Mingzhao Zhu, Zhenhua Ren and Jingya Guo and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and Nature Materials.

In The Last Decade

Zhida Liu

61 papers receiving 2.2k citations

Hit Papers

Hybrid cellular membrane nanovesicles amplify macrophage ... 2020 2026 2022 2024 2020 2022 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhida Liu China 24 1.1k 956 639 492 234 63 2.3k
Luis Martínez‐Lostao Spain 26 933 0.9× 1.2k 1.3× 676 1.1× 227 0.5× 337 1.4× 63 2.4k
Dennis Jones United States 22 479 0.5× 723 0.8× 1.0k 1.6× 433 0.9× 304 1.3× 39 2.3k
Shiro Mori Japan 31 452 0.4× 626 0.7× 785 1.2× 735 1.5× 197 0.8× 123 2.6k
Zhe Wang China 32 686 0.6× 1.5k 1.6× 890 1.4× 357 0.7× 713 3.0× 165 3.6k
Jin Zhu China 30 532 0.5× 1.3k 1.3× 1.0k 1.6× 296 0.6× 341 1.5× 132 2.9k
Edward Y. Kim United States 27 1.2k 1.1× 1.0k 1.1× 706 1.1× 303 0.6× 438 1.9× 70 3.0k
Kazuhiro Yoshikawa Japan 26 502 0.5× 1.0k 1.1× 660 1.0× 273 0.6× 304 1.3× 159 2.5k
Aadil Khan United Kingdom 21 426 0.4× 652 0.7× 1.1k 1.7× 553 1.1× 450 1.9× 90 2.6k
Jianfeng Chen China 30 711 0.7× 1.4k 1.5× 436 0.7× 177 0.4× 396 1.7× 105 3.2k
Lin Tian China 25 486 0.5× 1.3k 1.4× 973 1.5× 174 0.4× 377 1.6× 82 2.7k

Countries citing papers authored by Zhida Liu

Since Specialization
Citations

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

Fields of papers citing papers by Zhida Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhida Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhida Liu. A scholar is included among the top collaborators of Zhida Liu 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 Zhida Liu. Zhida Liu 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.
Bai, Bing, Cheng Huang, Xueyan Zhang, et al.. (2025). Coordinating interleukin-2 encoding circRNA with immunomodulatory lipid nanoparticles to potentiate cancer immunotherapy. Science Advances. 11(9). eadn7256–eadn7256. 7 indexed citations
3.
Lv, Nan, Shaodong Zhai, Nan Hu, et al.. (2024). Enhanced-permeability delivery system for hydroxyl radical-responsive NIR-II fluorescence-monitored thrombolytic therapy. Colloids and Surfaces B Biointerfaces. 245. 114193–114193. 1 indexed citations
4.
Han, Songyan, et al.. (2024). Advancements in conventional cancer therapy combined with immunotherapy. Oncology and Translational Medicine. 11(1). 17–28. 10 indexed citations
5.
Wu, Dan, Xinyue Li, Jie Zhou, et al.. (2023). Dynamically assembled nanomedicine based on host−guest molecular recognition for NIR laser-excited chemotherapy and phototheranostics. Acta Biomaterialia. 168. 565–579. 19 indexed citations
6.
Feng, Qiang, Zhida Liu, Xuexin Yu, et al.. (2022). Lactate increases stemness of CD8 + T cells to augment anti-tumor immunity. Nature Communications. 13(1). 4981–4981. 254 indexed citations breakdown →
7.
Han, Chuanhui, Victoria Godfrey, Zhida Liu, et al.. (2021). The AIM2 and NLRP3 inflammasomes trigger IL-1–mediated antitumor effects during radiation. Science Immunology. 6(59). 66 indexed citations
8.
Han, Chuanhui, Anli Zhang, Zhida Liu, Casey Moore, & Yang‐Xin Fu. (2020). Small molecular drugs reshape tumor microenvironment to synergize with immunotherapy. Oncogene. 40(5). 885–898. 15 indexed citations
9.
Han, Chuanhui, Zhida Liu, Yunjia Zhang, et al.. (2020). Tumor cells suppress radiation-induced immunity by hijacking caspase 9 signaling. Nature Immunology. 21(5). 546–554. 116 indexed citations
10.
Han, Chuanhui, Zhida Liu, Yunjia Zhang, et al.. (2020). Author Correction: Tumor cells suppress radiation-induced immunity by hijacking caspase 9 signaling. Nature Immunology. 21(11). 1470–1470. 2 indexed citations
11.
Rao, Lang, Lei Wu, Zhida Liu, et al.. (2020). Hybrid cellular membrane nanovesicles amplify macrophage immune responses against cancer recurrence and metastasis. Nature Communications. 11(1). 4909–4909. 307 indexed citations breakdown →
12.
Fermaintt, Charles S., Zhida Liu, Nozomi Ishii, et al.. (2019). A bioactive mammalian disaccharide associated with autoimmunity activates STING-TBK1-dependent immune response. Nature Communications. 10(1). 2377–2377. 19 indexed citations
13.
Liu, Zhida, Chuanhui Han, & Yang‐Xin Fu. (2019). Targeting innate sensing in the tumor microenvironment to improve immunotherapy. Cellular and Molecular Immunology. 17(1). 13–26. 79 indexed citations
14.
Liu, Zhida, Chuanhui Han, Chunbo Dong, et al.. (2019). Hypofractionated EGFR tyrosine kinase inhibitor limits tumor relapse through triggering innate and adaptive immunity. Science Immunology. 4(38). 35 indexed citations
15.
Li, Xiaoguang, Zhida Liu, Anli Zhang, et al.. (2019). NQO1 targeting prodrug triggers innate sensing to overcome checkpoint blockade resistance. Nature Communications. 10(1). 3251–3251. 74 indexed citations
16.
Liu, Zhida, Qin Yan, Zihao Wang, et al.. (2017). Coordinating antigen cytosolic delivery and danger signaling to program potent cross-priming by micelle-based nanovaccine. Cell Discovery. 3(1). 45 indexed citations
17.
Ren, Zhenhua, Jingya Guo, Jing Liao, et al.. (2016). CTLA-4 Limits Anti-CD20–Mediated Tumor Regression. Clinical Cancer Research. 23(1). 193–203. 34 indexed citations
18.
Qiao, Jian, Zhida Liu, & Yang‐Xin Fu. (2016). Adapting conventional cancer treatment for immunotherapy. Journal of Molecular Medicine. 94(5). 489–495. 40 indexed citations
19.
Liu, Zhida, Ling Zhang, Yong Chen, et al.. (2015). [The etiological and clinical characteristics of hospitalized children with hand, foot and mouth disease in Beijing in 2013].. PubMed. 53(6). 459–63. 2 indexed citations
20.
Liu, Feng, Zhida Liu, Nan Wu, et al.. (2013). In vitro interactions between rat bone marrow-derived endothelial progenitor cells and hepatic stellate cells. In Vitro Cellular & Developmental Biology - Animal. 49(7). 537–547. 6 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026