Liquan Gao

2.3k total citations
31 papers, 1.9k citations indexed

About

Liquan Gao is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Liquan Gao has authored 31 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Immunology, 12 papers in Oncology and 9 papers in Molecular Biology. Recurrent topics in Liquan Gao's work include Immunotherapy and Immune Responses (12 papers), Immune Cell Function and Interaction (8 papers) and Nanoplatforms for cancer theranostics (8 papers). Liquan Gao is often cited by papers focused on Immunotherapy and Immune Responses (12 papers), Immune Cell Function and Interaction (8 papers) and Nanoplatforms for cancer theranostics (8 papers). Liquan Gao collaborates with scholars based in United Kingdom, China and United States. Liquan Gao's co-authors include Hans J. Stauss, John M. Goldman, Zhaofei Liu, Ilaria Bellantuono, Fan Wang, Bing Jia, Chenran Zhang, Stephen B. Marley, Myrtle Y. Gordon and Duo Gao and has published in prestigious journals such as Nature, Blood and ACS Nano.

In The Last Decade

Liquan Gao

31 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liquan Gao United Kingdom 21 1.1k 782 574 436 236 31 1.9k
Robbert van der Voort Netherlands 28 1.4k 1.3× 1.1k 1.4× 658 1.1× 170 0.4× 281 1.2× 43 2.4k
Jifeng Yu China 19 694 0.7× 545 0.7× 508 0.9× 235 0.5× 203 0.9× 77 1.8k
Michael Klichinsky United States 14 902 0.9× 1.3k 1.7× 586 1.0× 315 0.7× 115 0.5× 56 2.0k
Amer Najjar United States 18 413 0.4× 1000 1.3× 517 0.9× 377 0.9× 106 0.4× 29 1.6k
Concetta Quintarelli Italy 27 1.0k 1.0× 1.4k 1.8× 628 1.1× 399 0.9× 338 1.4× 67 2.4k
Maite Álvarez United States 25 1.5k 1.4× 1.0k 1.3× 357 0.6× 173 0.4× 338 1.4× 67 2.1k
Tao Dao United States 28 1.8k 1.7× 1.3k 1.7× 1.2k 2.1× 249 0.6× 237 1.0× 77 3.1k
Eva Lion Belgium 29 1.9k 1.8× 1.3k 1.7× 731 1.3× 215 0.5× 277 1.2× 64 2.6k
Christian M. Capitini United States 23 702 0.7× 670 0.9× 530 0.9× 158 0.4× 182 0.8× 87 1.7k
Stephen H. Wrzesinski United States 13 1.0k 0.9× 872 1.1× 705 1.2× 325 0.7× 57 0.2× 20 2.1k

Countries citing papers authored by Liquan Gao

Since Specialization
Citations

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

Fields of papers citing papers by Liquan Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liquan Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Liquan Gao. A scholar is included among the top collaborators of Liquan Gao 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 Liquan Gao. Liquan Gao 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.
Xu, Menghong, Ping Wang, Suhui Sun, et al.. (2020). Smart strategies to overcome tumor hypoxia toward the enhancement of cancer therapy. Nanoscale. 12(42). 21519–21533. 34 indexed citations
3.
Zhao, Yang, Chenran Zhang, Liquan Gao, et al.. (2017). Chemotherapy-Induced Macrophage Infiltration into Tumors Enhances Nanographene-Based Photodynamic Therapy. Cancer Research. 77(21). 6021–6032. 21 indexed citations
5.
Lai, Jianhao, Dehua Lu, Chenran Zhang, et al.. (2017). Noninvasive small-animal imaging of galectin-1 upregulation for predicting tumor resistance to radiotherapy. Biomaterials. 158. 1–9. 17 indexed citations
6.
Zhang, Chenran, Xinhe Yu, Liquan Gao, et al.. (2017). Noninvasive Imaging of CD206-Positive M2 Macrophages as an Early Biomarker for Post-Chemotherapy Tumor Relapse and Lymph Node Metastasis. Theranostics. 7(17). 4276–4288. 92 indexed citations
7.
Zhang, Chenran, Liquan Gao, Hao Liu, et al.. (2016). Inhibition of tumor growth and metastasis by photoimmunotherapy targeting tumor-associated macrophage in a sorafenib-resistant tumor model. Biomaterials. 84. 1–12. 89 indexed citations
8.
Gao, Liquan, Chenran Zhang, Duo Gao, et al.. (2016). Enhanced Anti-Tumor Efficacy through a Combination of Integrin αvβ6-Targeted Photodynamic Therapy and Immune Checkpoint Inhibition. Theranostics. 6(5). 627–637. 94 indexed citations
9.
Gao, Liquan, Hao Liu, Xianlei Sun, et al.. (2015). Molecular Imaging of Post-Src Inhibition Tumor Signatures for Guiding Dasatinib Combination Therapy. Journal of Nuclear Medicine. 57(2). 321–326. 9 indexed citations
10.
Sun, Xianlei, Duo Gao, Liquan Gao, et al.. (2015). Molecular Imaging of Tumor-Infiltrating Macrophages in a Preclinical Mouse Model of Breast Cancer. Theranostics. 5(6). 597–608. 58 indexed citations
11.
Gao, Duo, Liquan Gao, Chenran Zhang, et al.. (2015). A near-infrared phthalocyanine dye-labeled agent for integrin αvβ6-targeted theranostics of pancreatic cancer. Biomaterials. 53. 229–238. 33 indexed citations
12.
Yu, Xinhe, Yue Wu, Hao Liu, et al.. (2015). Small-Animal SPECT/CT of the Progression and Recovery of Rat Liver Fibrosis by Using an Integrin αvβ3–targeting Radiotracer. Radiology. 279(2). 502–512. 27 indexed citations
13.
Ma, Teng, Xianlei Sun, Liyang Cui, et al.. (2014). Molecular Imaging Reveals Trastuzumab-Induced Epidermal Growth Factor Receptor Downregulation In Vivo. Journal of Nuclear Medicine. 55(6). 1002–1007. 19 indexed citations
14.
Tan, Peng, Helen E.J. Tyrrell, Liquan Gao, et al.. (2014). Adiponectin Receptor Signaling on Dendritic Cells Blunts Antitumor Immunity. Cancer Research. 74(20). 5711–5722. 54 indexed citations
15.
Xue, Shao‐An, Liquan Gao, Maryam Ahmadi, et al.. (2012). Human MHC Class I-restricted high avidity CD4+T cells generated by co-transfer of TCR and CD8 mediate efficient tumor rejection in vivo. OncoImmunology. 2(1). e22590–e22590. 35 indexed citations
16.
Ramı́rez, Francisco, et al.. (2007). Dendritic Cell Immunization Induces Nonprotective WT1-specific CTL Responses in Mouse. Journal of Immunotherapy. 30(2). 140–149. 4 indexed citations
17.
Xue, Shao‐An, Liquan Gao, Daniel P. Hart, et al.. (2005). Elimination of human leukemia cells in NOD/SCID mice by WT1-TCR gene–transduced human T cells. Blood. 106(9). 3062–3067. 154 indexed citations
18.
Morris, Emma, et al.. (2005). Generation of tumor-specific T-cell therapies. Blood Reviews. 20(2). 61–69. 39 indexed citations
19.
Gao, Liquan, Shao‐An Xue, Robert P. Hasserjian, et al.. (2003). Human cytotoxic T lymphocytes specific for Wilms’ tumor antigen-1 inhibit engraftment of leukemia-initiating stem cells in non-obese diabetic-severe combined immunodeficient recipients. Transplantation. 75(9). 1429–1436. 45 indexed citations
20.
Klavinskis, Linda S., Christina Barnfield, Liquan Gao, & Suezanne E. Parker. (1999). Intranasal Immunization with Plasmid DNA-Lipid Complexes Elicits Mucosal Immunity in the Female Genital and Rectal Tracts. The Journal of Immunology. 162(1). 254–262. 110 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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