Guangfu Li

3.2k total citations
96 papers, 2.4k citations indexed

About

Guangfu Li is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Guangfu Li has authored 96 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Oncology, 33 papers in Molecular Biology and 26 papers in Immunology. Recurrent topics in Guangfu Li's work include Cancer Cells and Metastasis (19 papers), Cancer Genomics and Diagnostics (11 papers) and Pancreatic and Hepatic Oncology Research (9 papers). Guangfu Li is often cited by papers focused on Cancer Cells and Metastasis (19 papers), Cancer Genomics and Diagnostics (11 papers) and Pancreatic and Hepatic Oncology Research (9 papers). Guangfu Li collaborates with scholars based in United States, China and Germany. Guangfu Li's co-authors include Kevin F. Staveley-O’Carroll, Eric T. Kimchi, Jussuf T. Kaifi, Chunwei W. Lai, Tim F. Greten, Diego M. Avella, Kun Cheng, Xiaoqiang Qi, Yariswamy Manjunath and Ming Yang and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Guangfu Li

90 papers receiving 2.4k citations

Peers

Guangfu Li
Chundong Yu China
Junnian Zheng China
Yan Tang China
Yongchang Qiu United States
Cristiana Soldani Italy
Jennifer L. Hsu United States
Chunqing Guo United States
Lidija Klampfer United States
Chundong Yu China
Guangfu Li
Citations per year, relative to Guangfu Li Guangfu Li (= 1×) peers Chundong Yu

Countries citing papers authored by Guangfu Li

Since Specialization
Citations

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

Fields of papers citing papers by Guangfu Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangfu Li

This figure shows the co-authorship network connecting the top 25 collaborators of Guangfu Li. A scholar is included among the top collaborators of Guangfu Li 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 Guangfu Li. Guangfu Li 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.
Bryan, Jeffrey N., Guangfu Li, William T. N. Culp, et al.. (2025). Comparative multi-omics evaluation of the tumor microenvironment in dog and human hepatocellular carcinoma. 2(1).
2.
Zhang, Heming, Tianma Xu, Emily Y. Chen, et al.. (2025). MosGraphFlow: a novel integrative graph AI model mining signaling targets from multi-omic data. PubMed. 2(1). 23–23.
3.
Gao, Jing, Yingxiao Mu, Guangfu Li, et al.. (2024). Highly stable ultralong organic phosphorescence from a 3D organic supramolecule constructed by halogen bonding and π–π interactions. Chemical Engineering Journal. 491. 151984–151984. 4 indexed citations
4.
Suvilesh, Kanve N., Yariswamy Manjunath, Mohamed Gadelkarim, et al.. (2024). Targeting AKR1B10 by Drug Repurposing with Epalrestat Overcomes Chemoresistance in Non–Small Cell Lung Cancer Patient-Derived Tumor Organoids. Clinical Cancer Research. 30(17). 3855–3867. 7 indexed citations
5.
Zhang, Xiuyuan, Yixin Chen, Carlos Cruchaga, et al.. (2024). mosGraphGen: a novel tool to generate multi-omics signaling graphs to facilitate integrative and interpretable graph AI model development. Bioinformatics Advances. 4(1). vbae151–vbae151. 3 indexed citations
6.
Yang, Ming, Xiaoqiang Qi, Nan Li, et al.. (2023). Western diet contributes to the pathogenesis of non-alcoholic steatohepatitis in male mice via remodeling gut microbiota and increasing production of 2-oleoylglycerol. Nature Communications. 14(1). 228–228. 66 indexed citations
7.
Zhou, Jing, Qiongling Wang, Ming Yang, et al.. (2023). A novel role of TGFBI in macrophage polarization and macrophage-induced pancreatic cancer growth and therapeutic resistance. Cancer Letters. 578. 216457–216457. 34 indexed citations
8.
Yang, Ming, Olamide Tosin Olaoba, Chunye Zhang, et al.. (2022). Cancer Immunotherapy and Delivery System: An Update. Pharmaceutics. 14(8). 1630–1630. 26 indexed citations
9.
Qi, Xiaoqiang, Feng Wu, Sung Hoon Kim, et al.. (2022). Nanoliposome C6‐Ceramide in combination with anti‐CTLA4 antibody improves anti‐tumor immunity in hepatocellular cancer. The FASEB Journal. 36(4). e22250–e22250. 13 indexed citations
10.
Liu, Xuanyou, Yichao Xiao, Yuqi Cui, et al.. (2021). Circulating Endothelial Progenitor Cells Are Preserved in Female Mice Exposed to Ambient Fine Particulate Matter Independent of Estrogen. International Journal of Molecular Sciences. 22(13). 7200–7200. 12 indexed citations
11.
Tang, Rui, Xiaohan Mei, Ning Shi, et al.. (2020). LncRNA GAS5 attenuates fibroblast activation through inhibiting Smad3 signaling. American Journal of Physiology-Cell Physiology. 319(1). C105–C115. 30 indexed citations
12.
Qi, Xiaoqiang, Ming Yang, Lixin Ma, et al.. (2020). Synergizing sunitinib and radiofrequency ablation to treat hepatocellular cancer by triggering the antitumor immune response. Journal for ImmunoTherapy of Cancer. 8(2). e001038–e001038. 75 indexed citations
13.
Greten, Tim F., Chunwei W. Lai, Guangfu Li, & Kevin F. Staveley-O’Carroll. (2018). Targeted and Immune-Based Therapies for Hepatocellular Carcinoma. Gastroenterology. 156(2). 510–524. 206 indexed citations
14.
Li, Guangfu, Dai Liu, Eric T. Kimchi, et al.. (2018). Nanoliposome C6-Ceramide Increases the Anti-tumor Immune Response and Slows Growth of Liver Tumors in Mice. Gastroenterology. 154(4). 1024–1036.e9. 123 indexed citations
15.
Wang, Yong, Kai Tian, Kent S. Gates, et al.. (2017). Nanolock–Nanopore Facilitated Digital Diagnostics of Cancer Driver Mutation in Tumor Tissue. ACS Sensors. 2(7). 975–981. 24 indexed citations
16.
Johnson, Christopher, Brian Riesenberg, Guangfu Li, et al.. (2015). Effector CD8+ T-cell Engraftment and Antitumor Immunity in Lymphodepleted Hosts Is IL7Rα Dependent. Cancer Immunology Research. 3(12). 1364–1374. 21 indexed citations
17.
Lu, Shengjun, Jinyu Zhang, Dai Liu, et al.. (2015). Nonblocking Monoclonal Antibody Targeting Soluble MIC Revamps Endogenous Innate and Adaptive Antitumor Responses and Eliminates Primary and Metastatic Tumors. Clinical Cancer Research. 21(21). 4819–4830. 39 indexed citations
18.
Yuan, Yunsheng, Dan Liu, Guangfu Li, et al.. (2015). ATF5 Connects the Pericentriolar Materials to the Proximal End of the Mother Centriole. Cell. 162(3). 580–592. 30 indexed citations
19.
Li, Guangfu, et al.. (2011). HSP70 Protein Promotes Survival of C6 and U87 Glioma Cells by Inhibition of ATF5 Degradation. Journal of Biological Chemistry. 286(23). 20251–20259. 53 indexed citations
20.
Li, Guangfu, Wenhong Li, James M. Angelastro, Lloyd A. Greene, & David X. Liu. (2009). Identification of a Novel DNA Binding Site and a Transcriptional Target for Activating Transcription Factor 5 in C6 Glioma and MCF-7 Breast Cancer Cells. Molecular Cancer Research. 7(6). 933–943. 35 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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