Fangxing Lin

735 total citations · 1 hit paper
10 papers, 600 citations indexed

About

Fangxing Lin is a scholar working on Oncology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Fangxing Lin has authored 10 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 4 papers in Molecular Biology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Fangxing Lin's work include Viral Infections and Immunology Research (2 papers), Extracellular vesicles in disease (2 papers) and CAR-T cell therapy research (2 papers). Fangxing Lin is often cited by papers focused on Viral Infections and Immunology Research (2 papers), Extracellular vesicles in disease (2 papers) and CAR-T cell therapy research (2 papers). Fangxing Lin collaborates with scholars based in China and United States. Fangxing Lin's co-authors include Changhai Lei, Yongji Yang, Yafeng Shen, Xiaoyan Fan, Wenyan Fu, Shi Hu, Xuting Ye, Min Ding, Shuowu Liu and Chuqi Wang and has published in prestigious journals such as Nature Communications, Clinical Cancer Research and The FASEB Journal.

In The Last Decade

Fangxing Lin

10 papers receiving 596 citations

Hit Papers

CAR exosomes derived from effector CAR-T cells have poten... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fangxing Lin China 8 391 192 181 179 136 10 600
Chuqi Wang China 7 331 0.8× 165 0.9× 144 0.8× 170 0.9× 117 0.9× 13 506
Jizhou Tan China 10 239 0.6× 110 0.6× 259 1.4× 189 1.1× 127 0.9× 17 625
Ilgin Kimiz‐Gebologlu Türkiye 5 460 1.2× 198 1.0× 82 0.5× 110 0.6× 98 0.7× 9 631
Stefania Forti Italy 9 232 0.6× 94 0.5× 139 0.8× 85 0.5× 73 0.5× 10 523
Changlin Yang United States 13 229 0.6× 99 0.5× 263 1.5× 295 1.6× 95 0.7× 46 660
Haifeng Liang China 11 432 1.1× 317 1.7× 79 0.4× 85 0.5× 95 0.7× 28 628
Kesang Li China 13 428 1.1× 274 1.4× 364 2.0× 270 1.5× 83 0.6× 20 811
Shuowu Liu China 6 397 1.0× 222 1.2× 137 0.8× 185 1.0× 116 0.9× 8 550
Shujuan Zhou China 9 142 0.4× 66 0.3× 232 1.3× 211 1.2× 60 0.4× 12 435
Guillermo Nicolás Dalton Argentina 11 265 0.7× 145 0.8× 209 1.2× 83 0.5× 132 1.0× 15 503

Countries citing papers authored by Fangxing Lin

Since Specialization
Citations

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

Fields of papers citing papers by Fangxing Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangxing Lin

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

All Works

10 of 10 papers shown
1.
Zhang, Shuyi, Guangyao Li, Kewen Qian, et al.. (2024). Exosomes derived from cancer cells relieve inflammatory bowel disease in mice. Journal of drug targeting. 32(9). 1073–1085. 1 indexed citations
2.
Fu, Wenyan, Changhai Lei, Chuqi Wang, et al.. (2022). Synthetic libraries of immune cells displaying a diverse repertoire of chimaeric antigen receptors as a potent cancer immunotherapy. Nature Biomedical Engineering. 6(7). 842–854. 12 indexed citations
3.
Fu, Wenyan, Changhai Lei, Yue Yu, et al.. (2019). EGFR/Notch Antagonists Enhance the Response to Inhibitors of the PI3K-Akt Pathway by Decreasing Tumor-Initiating Cell Frequency. Clinical Cancer Research. 25(9). 2835–2847. 29 indexed citations
4.
Fu, Wenyan, Changhai Lei, Shuowu Liu, et al.. (2019). CAR exosomes derived from effector CAR-T cells have potent antitumour effects and low toxicity. Nature Communications. 10(1). 4355–4355. 389 indexed citations breakdown →
5.
Liu, Shuowu, Chuqi Wang, Yingshu Cui, et al.. (2019). Treatment of murine lupus with TIGIT-Ig. Clinical Immunology. 203. 72–80. 27 indexed citations
6.
Li, Tian, Yafeng Shen, Fangxing Lin, et al.. (2019). Targeting RyR2 with a phosphorylation site–specific nanobody reverses dysfunction of failing cardiomyocytes in rats. The FASEB Journal. 33(6). 7467–7478. 7 indexed citations
7.
8.
Hu, Shi, Wenyan Fu, Tian Li, et al.. (2017). Antagonism of EGFR and Notch limits resistance to EGFR inhibitors and radiation by decreasing tumor-initiating cell frequency. Science Translational Medicine. 9(380). 57 indexed citations
9.
Hu, Shi, Haibin Dai, Tian Li, et al.. (2016). Broad RTK-targeted therapy overcomes molecular heterogeneity-driven resistance to cetuximab via vectored immunoprophylaxis in colorectal cancer. Cancer Letters. 382(1). 32–43. 22 indexed citations
10.
Tang, Ying, Yafeng Shen, Libin Huang, et al.. (2015). In vitro cytotoxicity of gold nanorods in A549 cells. Environmental Toxicology and Pharmacology. 39(2). 871–878. 52 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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