Zonghai Li

7.3k total citations
128 papers, 5.0k citations indexed

About

Zonghai Li is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Zonghai Li has authored 128 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Oncology, 42 papers in Molecular Biology and 39 papers in Immunology. Recurrent topics in Zonghai Li's work include CAR-T cell therapy research (56 papers), Monoclonal and Polyclonal Antibodies Research (23 papers) and Immune Cell Function and Interaction (21 papers). Zonghai Li is often cited by papers focused on CAR-T cell therapy research (56 papers), Monoclonal and Polyclonal Antibodies Research (23 papers) and Immune Cell Function and Interaction (21 papers). Zonghai Li collaborates with scholars based in China, United States and Cyprus. Zonghai Li's co-authors include Bizhi Shi, Hua Jiang, Hong Luo, Jianren Gu, Huamao Wang, Ruixin Sun, Shengmeng Di, Ali Övgün, Huiping Gao and Hongyang Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Zonghai Li

125 papers receiving 4.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zonghai Li China 38 2.8k 1.9k 1.5k 795 518 128 5.0k
Jin Zhu China 30 1.0k 0.4× 1.3k 0.7× 532 0.4× 296 0.4× 127 0.2× 132 2.9k
Takeshi Itoh Japan 21 2.1k 0.7× 2.6k 1.4× 743 0.5× 156 0.2× 247 0.5× 56 5.7k
Chunhong Zheng China 14 1.7k 0.6× 1.3k 0.7× 1.6k 1.1× 248 0.3× 82 0.2× 29 3.2k
Wolfgang Mueller‐Klieser Germany 36 2.0k 0.7× 3.5k 1.9× 825 0.6× 1.8k 2.3× 213 0.4× 69 7.8k
Clemens Mayer Netherlands 20 1.5k 0.6× 2.5k 1.4× 977 0.7× 126 0.2× 80 0.2× 45 4.7k
Tadao Ishida Japan 26 1.7k 0.6× 1.7k 0.9× 2.0k 1.3× 67 0.1× 277 0.5× 135 4.4k
Enrico Giraudo Italy 34 1.5k 0.5× 2.4k 1.3× 849 0.6× 235 0.3× 149 0.3× 60 4.5k
Laure Sabatier France 44 1.6k 0.6× 3.7k 2.0× 363 0.2× 96 0.1× 477 0.9× 145 6.8k
Barry Trink United States 45 2.3k 0.8× 4.5k 2.4× 454 0.3× 241 0.3× 527 1.0× 83 7.6k
Deepak Sampath United States 37 1.9k 0.7× 2.9k 1.6× 540 0.4× 109 0.1× 123 0.2× 110 5.0k

Countries citing papers authored by Zonghai Li

Since Specialization
Citations

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

Fields of papers citing papers by Zonghai Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zonghai Li

This figure shows the co-authorship network connecting the top 25 collaborators of Zonghai Li. A scholar is included among the top collaborators of Zonghai 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 Zonghai Li. Zonghai 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.
2.
Li, Zonghai & Junji Jia. (2024). Deflection of charged signals in a dipole magnetic field in Kerr background. The European Physical Journal C. 84(9). 2 indexed citations
3.
Du, Juan, Siyu Gu, Jing Lü, et al.. (2024). GPRC5D-Targeted CAR T-Cell Therapy CT071 for the Treatment of Refractory/Relapsed Multiple Myeloma. Blood. 144(Supplement 1). 3451–3451. 2 indexed citations
4.
Botta, Gregory P., Joseph Chao, H. Ma, et al.. (2024). Metastatic gastric cancer target lesion complete response with Claudin18.2-CAR T cells. Journal for ImmunoTherapy of Cancer. 12(2). e007927–e007927. 15 indexed citations
5.
Sun, Ruixin, Yansha Sun, Chuanlong Wu, et al.. (2023). CXCR4-modified CAR-T cells suppresses MDSCs recruitment via STAT3/NF-κB/SDF-1α axis to enhance efficacy against pancreatic cancer. Molecular Therapy. 31(11). 3193–3209. 46 indexed citations
6.
Fu, Qihan, Yi Zheng, Weijia Fang, et al.. (2023). RUNX-3-expressing CAR T cells targeting glypican-3 in patients with heavily pretreated advanced hepatocellular carcinoma: a phase I trial. EClinicalMedicine. 63. 102175–102175. 46 indexed citations
7.
Luo, Hong, Su Jingwen, Ruixin Sun, et al.. (2020). Coexpression of IL7 and CCL21 Increases Efficacy of CAR-T Cells in Solid Tumors without Requiring Preconditioned Lymphodepletion. Clinical Cancer Research. 26(20). 5494–5505. 129 indexed citations
8.
Shi, Donghua, Yao Shi, Ahmed O. Kaseb, et al.. (2020). Chimeric Antigen Receptor-Glypican-3 T-Cell Therapy for Advanced Hepatocellular Carcinoma: Results of Phase I Trials. Clinical Cancer Research. 26(15). 3979–3989. 254 indexed citations
9.
Li, Zonghai, Guodong Zhang, & Ali Övgün. (2020). Circular orbit of a particle and weak gravitational lensing. Physical review. D. 101(12). 83 indexed citations
10.
Li, Zonghai & Ali Övgün. (2020). Finite-distance gravitational deflection of massive particles by a Kerr-like black hole in the bumblebee gravity model. Physical review. D. 101(2). 104 indexed citations
11.
Liu, Ying, Shengmeng Di, Bizhi Shi, et al.. (2019). Armored Inducible Expression of IL-12 Enhances Antitumor Activity of Glypican-3–Targeted Chimeric Antigen Receptor–Engineered T Cells in Hepatocellular Carcinoma. The Journal of Immunology. 203(1). 198–207. 118 indexed citations
12.
Jiang, Hua, Huiping Gao, Juan Kong, et al.. (2018). Selective Targeting of Glioblastoma with EGFRvIII/EGFR Bitargeted Chimeric Antigen Receptor T Cell. Cancer Immunology Research. 6(11). 1314–1326. 38 indexed citations
13.
Xu, Wen, Jiqin Zhang, Juan Kong, et al.. (2015). Synergistic antitumor efficacy against the EGFRvIII+HER2+ breast cancers by combining trastuzumab with anti-EGFRvIII antibody CH12. Oncotarget. 6(36). 38840–38853. 6 indexed citations
14.
Gao, Huiping, Kesang Li, Hong Tu, et al.. (2014). Development of T Cells Redirected to Glypican-3 for the Treatment of Hepatocellular Carcinoma. Clinical Cancer Research. 20(24). 6418–6428. 259 indexed citations
15.
Zhou, Min, Hai Wang, Keke Zhou, et al.. (2013). A Novel EGFR Isoform Confers Increased Invasiveness to Cancer Cells. Cancer Research. 73(23). 7056–7067. 20 indexed citations
16.
Luo, Xiaoying, et al.. (2013). Purification and characterization of secretory clusterin proteins from an eukaryotic expression system and the preliminary exploration of its functions. Tumori. 33(7). 597–603. 2 indexed citations
17.
Li, Zonghai, et al.. (2012). Defending against wormhole attacks in wireless sensor networks. 48(27). 94–98. 1 indexed citations
18.
Wang, Hai, et al.. (2012). Location of EGFP Tag Affects the Binding Activity of Peptide Fusions. Zhongguo shengwu gongcheng zazhi. 32(6). 74–78. 1 indexed citations
19.
Li, Zonghai. (2010). Construction and Screening of Phage Antibody Libraries Against Epidermal Growth Factor Receptor Variant Type III. Zhongguo shengwu gongcheng zazhi. 1 indexed citations
20.
Jiang, Hua, Jie Zhang, Bizhi Shi, et al.. (2007). Application of EGFP-EGF fusions to explore mechanism of endocytosis of epidermal growth factor. Acta Pharmacologica Sinica. 28(1). 111–117. 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.

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