Fanlin Li

791 total citations
19 papers, 599 citations indexed

About

Fanlin Li is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Fanlin Li has authored 19 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 11 papers in Oncology and 5 papers in Molecular Biology. Recurrent topics in Fanlin Li's work include CAR-T cell therapy research (9 papers), Immunotherapy and Immune Responses (5 papers) and Immune Cell Function and Interaction (4 papers). Fanlin Li is often cited by papers focused on CAR-T cell therapy research (9 papers), Immunotherapy and Immune Responses (5 papers) and Immune Cell Function and Interaction (4 papers). Fanlin Li collaborates with scholars based in China, United States and Mongolia. Fanlin Li's co-authors include Xuanming Yang, Ping Han, Xinyue Qi, Huihui Zhang, Cheng Chen, Jieyi Wang, Yi Wu, Xiaochuan Hong, Liufu Deng and Jingsi Jin and has published in prestigious journals such as Nature Communications, Science Translational Medicine and Frontiers in Immunology.

In The Last Decade

Fanlin Li

18 papers receiving 594 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fanlin Li China 11 383 293 217 68 66 19 599
Ester Blanco Spain 12 302 0.8× 398 1.4× 115 0.5× 59 0.9× 29 0.4× 31 611
Luisa Chocarro Spain 14 362 0.9× 504 1.7× 134 0.6× 61 0.9× 34 0.5× 35 742
Dongqing Cao China 10 384 1.0× 198 0.7× 286 1.3× 86 1.3× 49 0.7× 14 637
Iñigo Tirapu Spain 17 559 1.5× 457 1.6× 213 1.0× 28 0.4× 43 0.7× 32 888
Yanfeng Wu China 11 384 1.0× 196 0.7× 272 1.3× 65 1.0× 45 0.7× 21 646
Mariana Pereira Pinho Brazil 10 341 0.9× 169 0.6× 171 0.8× 67 1.0× 24 0.4× 16 530
Yuanqin Yang China 8 371 1.0× 162 0.6× 244 1.1× 84 1.2× 26 0.4× 10 547
Thomas J. Hayman United States 13 265 0.7× 169 0.6× 375 1.7× 63 0.9× 34 0.5× 27 667
Zhinan Xia China 9 257 0.7× 155 0.5× 177 0.8× 18 0.3× 82 1.2× 22 526
Emily F. Higgs United States 7 421 1.1× 336 1.1× 207 1.0× 72 1.1× 39 0.6× 15 619

Countries citing papers authored by Fanlin Li

Since Specialization
Citations

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

Fields of papers citing papers by Fanlin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fanlin Li

This figure shows the co-authorship network connecting the top 25 collaborators of Fanlin Li. A scholar is included among the top collaborators of Fanlin 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 Fanlin Li. Fanlin Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Zhang, Huihui, Runbo Zhong, Wanting Wang, et al.. (2025). OX40–heparan sulfate binding facilitates CAR T cell penetration into solid tumors in mice. Science Translational Medicine. 17(803). eadr2151–eadr2151. 4 indexed citations
2.
Li, Fanlin, Sijing Chen, Kana Wang, et al.. (2025). Role of transumbilical laparoendoscopic single-site surgery in the implementation ERAS in gynecology oncology: a retrospective study. Frontiers in Oncology. 15. 1483878–1483878.
3.
Li, Fanlin, et al.. (2024). Assessing the learning curve for transumbilical single-site laparoscopy for endometrial cancer. Frontiers in Oncology. 14. 1337719–1337719. 1 indexed citations
4.
Li, Fanlin, Wei Xu, Xiaoqing Zhang, et al.. (2023). A spike-targeting bispecific T cell engager strategy provides dual layer protection against SARS-CoV-2 infection in vivo. Communications Biology. 6(1). 592–592. 5 indexed citations
5.
Li, Fanlin, Huihui Zhang, Wanting Wang, et al.. (2022). T cell receptor β-chain-targeting chimeric antigen receptor T cells against T cell malignancies. Nature Communications. 13(1). 4334–4334. 21 indexed citations
6.
Zhang, Huihui, Fanlin Li, Jiang Cao, et al.. (2021). A chimeric antigen receptor with antigen-independent OX40 signaling mediates potent antitumor activity. Science Translational Medicine. 13(578). 77 indexed citations
7.
Zhang, Xiaoqing, Ping Han, Haiyong Wang, et al.. (2021). Engineering mesenchymal stromal cells with neutralizing and anti-inflammatory capability against SARS-CoV-2 infection. Molecular Therapy — Methods & Clinical Development. 21. 754–764. 7 indexed citations
8.
Liang, Jie, Huihui Zhang, Fanlin Li, et al.. (2021). A CLDN18.2-Targeting Bispecific T Cell Co-Stimulatory Activator for Cancer Immunotherapy. Cancer Management and Research. Volume 13. 6977–6987. 11 indexed citations
9.
Li, Min, Jie Liang, Hao Lin, et al.. (2021). USP22 deficiency in melanoma mediates resistance to T cells through IFNγ-JAK1-STAT1 signal axis. Molecular Therapy. 29(6). 2108–2120. 19 indexed citations
10.
Cao, Jingjing, Min Li, Huihui Zhang, et al.. (2021). Type I Interferon Promotes Antitumor T Cell Response in CRPC by Regulating MDSC. Cancers. 13(21). 5574–5574. 5 indexed citations
11.
Wang, Haiyong, Ping Han, Xinyue Qi, et al.. (2021). Bcl-2 Enhances Chimeric Antigen Receptor T Cell Persistence by Reducing Activation-Induced Apoptosis. Cancers. 13(2). 197–197. 25 indexed citations
12.
Dai, Qiang, Ping Han, Xinyue Qi, et al.. (2020). 4-1BB Signaling Boosts the Anti-Tumor Activity of CD28-Incorporated 2nd Generation Chimeric Antigen Receptor-Modified T Cells. Frontiers in Immunology. 11. 539654–539654. 22 indexed citations
13.
Li, Wenwen, Lu Lu, Xinran Wang, et al.. (2020). cGAS-STING–mediated DNA sensing maintains CD8 + T cell stemness and promotes antitumor T cell therapy. Science Translational Medicine. 12(549). 203 indexed citations
14.
Qi, Xinyue, Fanlin Li, Yi Wu, et al.. (2019). Optimization of 4-1BB antibody for cancer immunotherapy by balancing agonistic strength with FcγR affinity. Nature Communications. 10(1). 2141–2141. 98 indexed citations
15.
Han, Ping, Qiang Dai, Hao Lin, et al.. (2019). Genome-Wide CRISPR Screening Identifies JAK1 Deficiency as a Mechanism of T-Cell Resistance. Frontiers in Immunology. 10. 251–251. 17 indexed citations
16.
Liu, Dan, Ming You, Yujun Xu, et al.. (2016). Inhibition of curcumin on myeloid-derived suppressor cells is requisite for controlling lung cancer. International Immunopharmacology. 39. 265–272. 59 indexed citations
17.
Ji, Jianjian, Jingjing Xu, Fanlin Li, et al.. (2016). A benzenediamine derivate FC-99 attenuates lupus nephritis in MRL/<italic>lpr</italic> mice via inhibiting myeloid dendritic cell-secreted BAFF. Acta Biochimica et Biophysica Sinica. 48(5). 411–419. 2 indexed citations
18.
You, Ming, Guanjun Dong, Fanlin Li, et al.. (2015). Ligation of CD180 inhibits IFN-α signaling in a Lyn-PI3K-BTK-dependent manner in B cells. Cellular and Molecular Immunology. 14(2). 192–202. 17 indexed citations
19.
Ji, Jianjian, Hongye Fan, Fanlin Li, et al.. (2015). A benzenediamine derivative fc-99 attenuates lupus-like syndrome in MRL/lpr mice related to suppression of pDC activation. Immunology Letters. 168(2). 355–365. 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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