Li Tang

12.0k total citations · 6 hit papers
187 papers, 8.8k citations indexed

About

Li Tang is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Li Tang has authored 187 papers receiving a total of 8.8k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Molecular Biology, 42 papers in Oncology and 38 papers in Immunology. Recurrent topics in Li Tang's work include Nanoparticle-Based Drug Delivery (25 papers), Microbial Natural Products and Biosynthesis (20 papers) and Immunotherapy and Immune Responses (20 papers). Li Tang is often cited by papers focused on Nanoparticle-Based Drug Delivery (25 papers), Microbial Natural Products and Biosynthesis (20 papers) and Immunotherapy and Immune Responses (20 papers). Li Tang collaborates with scholars based in China, United States and Switzerland. Li Tang's co-authors include Jianjun Cheng, Timothy M. Fan, Qian Yin, Darrell J. Irvine, C. Richard Hutchinson, Yuqing Xie, Kewen Lei, Rong Tong, Luke B. Borst and Yugang Guo and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Chemical Society Reviews.

In The Last Decade

Li Tang

185 papers receiving 8.6k citations

Hit Papers

Investigating the optimal size of anticancer nanomedicine 2014 2026 2018 2022 2014 2018 2020 2021 2024 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
Li Tang China 48 3.6k 2.4k 1.9k 1.8k 1.4k 187 8.8k
Mahitosh Mandal India 64 6.0k 1.7× 1.7k 0.7× 1.7k 0.9× 812 0.4× 2.5k 1.8× 302 12.6k
Mahmoud Reza Jaafari Iran 60 5.0k 1.4× 2.2k 0.9× 2.9k 1.5× 2.3k 1.3× 1.2k 0.9× 387 11.8k
Nosratollah Zarghami Iran 56 5.6k 1.6× 3.0k 1.2× 3.7k 1.9× 825 0.5× 1.1k 0.8× 375 13.8k
Yu Zhang China 57 3.6k 1.0× 3.2k 1.3× 3.4k 1.8× 1.7k 1.0× 1.6k 1.2× 508 12.5k
Ning Zhang China 58 5.3k 1.5× 2.2k 0.9× 1.3k 0.7× 1.9k 1.0× 1.9k 1.4× 327 11.2k
Subhash C. Chauhan United States 56 4.6k 1.3× 1.4k 0.6× 2.2k 1.2× 866 0.5× 1.5k 1.1× 181 9.7k
Man Li China 56 3.8k 1.1× 2.2k 0.9× 1.5k 0.8× 1.8k 1.0× 1.9k 1.4× 354 9.8k
Crispin R. Dass Australia 54 5.7k 1.6× 1.8k 0.7× 2.3k 1.2× 570 0.3× 1.7k 1.2× 223 11.5k
Na Zhang China 57 4.9k 1.4× 3.0k 1.2× 3.0k 1.6× 1.8k 1.0× 1.6k 1.2× 460 12.2k
Yadollah Omidi Iran 60 5.6k 1.6× 3.6k 1.5× 2.8k 1.4× 639 0.4× 863 0.6× 340 12.0k

Countries citing papers authored by Li Tang

Since Specialization
Citations

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

Fields of papers citing papers by Li Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Li Tang. A scholar is included among the top collaborators of Li Tang 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 Li Tang. Li Tang 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.
Tang, Li, et al.. (2025). Mimicking the TCR immune synapse for improved CAR-T cell function. Cell Research. 35(8). 549–550. 2 indexed citations
2.
Feng, Bing & Li Tang. (2024). A new paradigm for cancer immunotherapy: Orchestrating type 1 and type 2 immunity for curative response. Clinical and Translational Medicine. 15(1). e70154–e70154.
3.
Feng, Bing, Rongrong Li, Weilin Li, & Li Tang. (2024). Metabolic immunoengineering approaches to enhance CD8+ T cell-based cancer immunotherapy. Cell Systems. 15(12). 1225–1244. 6 indexed citations
4.
Gensbittel, Valentin, et al.. (2024). Evidence and therapeutic implications of biomechanically regulated immunosurveillance in cancer and other diseases. Nature Nanotechnology. 19(3). 281–297. 45 indexed citations breakdown →
5.
Hu, Xile, et al.. (2023). Smart chemistry for traceless release of anticancer therapeutics. Biomaterials. 303. 122353–122353. 14 indexed citations
6.
Xie, Yuqing, Simon Van Herck, Sina Nassiri, et al.. (2021). Switchable immune modulator for tumor-specific activation of anticancer immunity. Science Advances. 7(37). eabg7291–eabg7291. 36 indexed citations
7.
Lei, Kewen, Armand Kurum, Murat Kaynak, et al.. (2021). Cancer-cell stiffening via cholesterol depletion enhances adoptive T-cell immunotherapy. Nature Biomedical Engineering. 5(12). 1411–1425. 176 indexed citations breakdown →
8.
Bonati, Lucia & Li Tang. (2021). Cytokine engineering for targeted cancer immunotherapy. Current Opinion in Chemical Biology. 62. 43–52. 47 indexed citations
9.
Gao, Min, Yuqing Xie, Kewen Lei, et al.. (2021). A Manganese Phosphate Nanocluster Activates the cGAS‐STING Pathway for Enhanced Cancer Immunotherapy. Advanced Therapeutics. 4(8). 56 indexed citations
10.
Silva, Joana G., Tania Wyss, Silvia A. Fuertes Marraco, et al.. (2020). Central memory CD8+ T cells derive from stem-like Tcf7hi effector cells in the absence of cytotoxic differentiation. Immunity. 53(5). 985–1000.e11. 126 indexed citations
11.
Wei, Lixia, et al.. (2020). Redox-Responsive Polycondensate Neoepitope for Enhanced Personalized Cancer Vaccine. ACS Central Science. 6(3). 404–412. 51 indexed citations
12.
Lei, Kewen & Li Tang. (2020). T cell force-responsive delivery of anticancer drugs using mesoporous silica microparticles. Materials Horizons. 7(12). 3196–3200. 14 indexed citations
13.
Liu, Xueqiang, Lei Liu, Yanyan Liu, et al.. (2019). Extrinsic Fabry Perot interferometer fiber sensor for simultaneous measurement of hydrazine vapor and temperature. Sensors and Actuators A Physical. 292. 60–65. 6 indexed citations
14.
Loukogeorgakis, Stavros, Haiying Li, Li Tang, et al.. (2019). Donor cell engineering with GSK3 inhibitor–loaded nanoparticles enhances engraftment after in utero transplantation. Blood. 134(22). 1983–1995. 14 indexed citations
15.
Guo, Yugang & Li Tang. (2019). A Magnetic Nanovaccine Enhances Cancer Immunotherapy. ACS Central Science. 5(5). 747–749. 9 indexed citations
16.
Xie, Yuqing, Lixia Wei, Yiran Zheng, et al.. (2019). Redox-responsive interleukin-2 nanogel specifically and safely promotes the proliferation and memory precursor differentiation of tumor-reactive T-cells. Biomaterials Science. 7(4). 1345–1357. 79 indexed citations
17.
Chen, Shanshan, Juan Deng, Chao Huang, et al.. (2018). Endocannabinoid hydrolase and cannabinoid receptor 1 are involved in the regulation of hypothalamus-pituitary-adrenal axis in type 2 diabetes. Metabolic Brain Disease. 33(5). 1483–1492. 8 indexed citations
18.
Tang, Li, David Cipolla, Thomas Rades, & Ben J. Boyd. (2018). Drug nanocrystallisation within liposomes. Journal of Controlled Release. 288. 96–110. 111 indexed citations
19.
Chen, Kejie, Xi Peng, Jing Fang, et al.. (2014). Effects of Dietary Selenium on Histopathological Changes and T Cells of Spleen in Broilers Exposed to Aflatoxin B1. International Journal of Environmental Research and Public Health. 11(2). 1904–1913. 46 indexed citations
20.
Li, Ming, Weihua Li, Wen Shu, Yinhui Liu, & Li Tang. (2013). Effects of ceftriaxone‐induced intestinal dysbacteriosis on dendritic cells of small intestine in mice. Microbiology and Immunology. 57(8). 561–568. 10 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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