Liting Chen

5.1k total citations
174 papers, 2.5k citations indexed

About

Liting Chen is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Liting Chen has authored 174 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 49 papers in Oncology and 25 papers in Genetics. Recurrent topics in Liting Chen's work include CAR-T cell therapy research (40 papers), Virus-based gene therapy research (19 papers) and Lymphoma Diagnosis and Treatment (11 papers). Liting Chen is often cited by papers focused on CAR-T cell therapy research (40 papers), Virus-based gene therapy research (19 papers) and Lymphoma Diagnosis and Treatment (11 papers). Liting Chen collaborates with scholars based in China, United States and Taiwan. Liting Chen's co-authors include Keqiang Wu, Yuyuan Wang, Ming Luo, Jianfeng Zhou, Xiaoxi Zhou, Min Xiao, Bo Huang, Xinlin Yang, Xiaoying Yang and Feng Bai and has published in prestigious journals such as Advanced Materials, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Liting Chen

151 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liting Chen China 26 1.0k 603 491 263 221 174 2.5k
Min Xiong China 31 1.4k 1.3× 664 1.1× 474 1.0× 232 0.9× 224 1.0× 172 3.5k
Weiping Li China 35 1.8k 1.7× 381 0.6× 156 0.3× 201 0.8× 266 1.2× 121 4.1k
Amy Chen United States 24 1.9k 1.9× 382 0.6× 166 0.3× 378 1.4× 131 0.6× 72 3.2k
Yuxi Chen China 25 1.9k 1.9× 287 0.5× 127 0.3× 349 1.3× 98 0.4× 133 3.1k
Michael Burnet Germany 30 994 1.0× 698 1.2× 694 1.4× 143 0.5× 137 0.6× 80 3.2k
Najah T. Nassif Australia 28 2.0k 2.0× 541 0.9× 299 0.6× 403 1.5× 71 0.3× 78 3.1k
Ji Qian China 32 2.1k 2.1× 518 0.9× 390 0.8× 701 2.7× 126 0.6× 146 3.8k
Régen Drouin Canada 34 2.1k 2.1× 520 0.9× 291 0.6× 511 1.9× 66 0.3× 126 3.4k
Ming Fang China 28 1.2k 1.2× 204 0.3× 175 0.4× 224 0.9× 251 1.1× 109 2.6k

Countries citing papers authored by Liting Chen

Since Specialization
Citations

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

Fields of papers citing papers by Liting Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liting Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Liting Chen. A scholar is included among the top collaborators of Liting Chen 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 Liting Chen. Liting Chen 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.
Chen, Liting, et al.. (2025). AAV8-mediated silencing of Atad3 prevents the progression from simple steatosis to MASH in mice by reduced IL6 secretion. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1871(5). 167792–167792.
2.
Wang, Yaxin, Zhaoyang Jiang, Liting Chen, et al.. (2025). Sex-specific behavioral alterations and underlying molecular mechanisms of zebrafish with environmental-related zinc exposure. Ecotoxicology and Environmental Safety. 303. 119024–119024.
3.
Ning, Yue, Dan Li, Liting Chen, et al.. (2025). Structure, transduction pathway, behavior and toxicity of fish olfactory in aquatic environments. Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology. 294. 110195–110195. 3 indexed citations
4.
Zhu, Lanxin, Meng Zhang, Mian He, et al.. (2025). Adaptive-learning physics-assisted light-field microscopy enables day-long and millisecond-scale super-resolution imaging of 3D subcellular dynamics. Nature Communications. 16(1). 7132–7132. 2 indexed citations
5.
Chen, Xu, Liting Chen, Guangna Liu, et al.. (2025). Tailoring an intravenously injectable oncolytic virus for augmenting radiotherapy. Cell Reports Medicine. 6(5). 102078–102078. 4 indexed citations
6.
7.
Chen, Liting, Xu Chen, Xu H, et al.. (2024). RVG29-modified oncolytic herpes simplex virus for intracranial tumor treatment. Nano Today. 61. 102573–102573. 1 indexed citations
8.
Chen, Liting, Xin Yan, Jun Xiao, et al.. (2024). The Effect of Copper–Cadmium Co-Exposure and Hormone Remediation on the Ovarian Transcriptome of Nile Tilapia (Oreochromis niloticus). Fishes. 9(2). 67–67. 3 indexed citations
9.
Zhang, Jiansong, Ming Geng, Jun Xiao, et al.. (2024). Comparative analysis of T-cell immunity between Streptococcus agalactiae susceptible and resistant tilapia (Oreochromis niloticus). Fish & Shellfish Immunology. 154. 109967–109967. 1 indexed citations
10.
Wang, Zhaofei, Yuxuan Zhao, Jin Jin, et al.. (2024). 3D live imaging and phenotyping of CAR-T cell mediated-cytotoxicity using high-throughput Bessel oblique plane microscopy. Nature Communications. 15(1). 6677–6677. 8 indexed citations
11.
Wang, Qin, Yifan Song, Haiyan Qiu, et al.. (2024). Redox nanodrugs alleviate chronic kidney disease by reducing inflammation and regulating ROS. Biomaterials Science. 12(24). 6403–6415. 2 indexed citations
12.
Chen, Liting, Meng Jiao, Fang Zhao, et al.. (2023). Efficient 3D imaging and pathological analysis of the human lymphoma tumor microenvironment using light-sheet immunofluorescence microscopy. Theranostics. 14(1). 406–419. 2 indexed citations
13.
Huang, Ting, Xin Yan, Jun Xiao, et al.. (2023). Effects of four hormones on the mitigation of ovarian damage in tilapia (Oreochromis niloticus) after copper and cadmium exposure. Aquatic Toxicology. 258. 106472–106472. 2 indexed citations
14.
Liu, Zhengwen, Zhengwen Sun, Huifeng Ke, et al.. (2023). Transcriptome, Ectopic Expression and Genetic Population Analysis Identify Candidate Genes for Fiber Quality Improvement in Cotton. International Journal of Molecular Sciences. 24(9). 8293–8293. 8 indexed citations
15.
Zhang, Man, Xiaolu Long, Yi Xiao, et al.. (2023). Assessment and predictive ability of the absolute neutrophil count in peripheral blood for in vivo CAR T cells expansion and CRS. Journal for ImmunoTherapy of Cancer. 11(11). e007790–e007790. 7 indexed citations
16.
Feng, Xuping, Hui Fang, Hangjin Jiang, et al.. (2023). Plantorganelle Hunter is an effective deep-learning-based method for plant organelle phenotyping in electron microscopy. Nature Plants. 9(10). 1760–1775. 10 indexed citations
17.
Wang, Na, Gaoxiang Wang, Liang Huang, et al.. (2022). CAR19/22 T cell cocktail therapy for B-ALL relapsed after allogeneic hematopoietic stem cell transplantation. Cytotherapy. 24(8). 841–849. 14 indexed citations
18.
Gu, Qishen, Huifeng Ke, Zhengwen Liu, et al.. (2020). A high-density genetic map and multiple environmental tests reveal novel quantitative trait loci and candidate genes for fibre quality and yield in cotton. Theoretical and Applied Genetics. 133(12). 3395–3408. 31 indexed citations
19.
20.
Chen, Liting, et al.. (2012). A Calmodulin Interacting Protein Iqcg Is Required for Definitive Hematopoiesis in Zebrafish. Blood. 120(21). 764–764. 1 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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