Chaoran Li

2.8k total citations
37 papers, 1.9k citations indexed

About

Chaoran Li is a scholar working on Immunology, Molecular Biology and Ophthalmology. According to data from OpenAlex, Chaoran Li has authored 37 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Immunology, 11 papers in Molecular Biology and 7 papers in Ophthalmology. Recurrent topics in Chaoran Li's work include Immune Cell Function and Interaction (11 papers), T-cell and B-cell Immunology (8 papers) and IL-33, ST2, and ILC Pathways (7 papers). Chaoran Li is often cited by papers focused on Immune Cell Function and Interaction (11 papers), T-cell and B-cell Immunology (8 papers) and IL-33, ST2, and ILC Pathways (7 papers). Chaoran Li collaborates with scholars based in China, United States and Japan. Chaoran Li's co-authors include Diane Mathis, Christophe Benoıst, Raúl G. Spallanzani, Qi-Jing Li, David Zemmour, Shan Jiang, Erik Lykken, Ying Wan, Amy J. Wagers and Ronald N. Germain and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Chaoran Li

36 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chaoran Li China 20 986 653 425 343 228 37 1.9k
Corinne Luedemann United States 18 336 0.3× 1.1k 1.6× 265 0.6× 171 0.5× 130 0.6× 27 1.8k
Sofie De Prijck Belgium 13 2.0k 2.1× 831 1.3× 186 0.4× 407 1.2× 235 1.0× 15 3.2k
Ewa M. Turner United States 15 351 0.4× 585 0.9× 226 0.5× 452 1.3× 305 1.3× 17 1.7k
Tiina Skoog Sweden 17 360 0.4× 359 0.5× 201 0.5× 225 0.7× 94 0.4× 27 1.1k
Gudrun Strauß Germany 24 756 0.8× 630 1.0× 105 0.2× 209 0.6× 139 0.6× 53 1.7k
Jia Tay United States 6 508 0.5× 618 0.9× 555 1.3× 123 0.4× 72 0.3× 12 1.3k
Frederico S. Regateiro Portugal 14 428 0.4× 356 0.5× 139 0.3× 89 0.3× 98 0.4× 41 1.4k
Amanda K. Huber United States 26 894 0.9× 498 0.8× 95 0.2× 151 0.4× 168 0.7× 49 2.3k
Laura Tesmer United States 8 947 1.0× 322 0.5× 117 0.3× 114 0.3× 126 0.6× 9 1.6k
Jesse M. Damsker United States 21 409 0.4× 687 1.1× 74 0.2× 104 0.3× 116 0.5× 35 1.3k

Countries citing papers authored by Chaoran Li

Since Specialization
Citations

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

Fields of papers citing papers by Chaoran Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaoran Li

This figure shows the co-authorship network connecting the top 25 collaborators of Chaoran Li. A scholar is included among the top collaborators of Chaoran 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 Chaoran Li. Chaoran 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.
Zhang, Menghao, Chaoran Li, Lu Li, et al.. (2025). Defective neutrophil-derived exosomes facilitate macrophage activation through miR-122-5p in Behçet’s disease. Nature Communications. 16(1). 8186–8186. 1 indexed citations
2.
Yang, Chunjuan, Chaoran Li, Wenchang Sun, et al.. (2023). circRNA_17725 Promotes Macrophage Polarization towards M2 by Targeting FAM46C to Alleviate Arthritis. Mediators of Inflammation. 2023. 1–15. 18 indexed citations
3.
Li, Chaoran. (2023). Role of lymphotoxin alpha as a new molecular biomarker in revolutionizing tear diagnostic testing for dry eye disease. International Journal of Ophthalmology. 16(11). 1883–1889. 4 indexed citations
4.
Wu, Xiuhua, Jing Shi, Xin Yu, et al.. (2022). Macrophage polarization toward M1 phenotype through NF-κB signaling in patients with Behçet’s disease. Arthritis Research & Therapy. 24(1). 249–249. 44 indexed citations
5.
Wang, Hui, Chaoran Li, Chunjuan Yang, et al.. (2022). Updated insight into the role of Th2-associated immunity in systemic lupus erythematosus. Autoimmunity Reviews. 22(1). 103213–103213. 5 indexed citations
6.
Wang, Qingyong, Tiansong Yang, Yuanyuan Qu, et al.. (2022). A meta-analysis evaluating effects of the rotigotine in Parkinson’s disease, focusing on sleep disturbances and activities of daily living. Neurological Sciences. 43(10). 5821–5837. 5 indexed citations
7.
Li, Chaoran, Gang Wang, Pulavendran Sivasami, et al.. (2021). Interferon-α-producing plasmacytoid dendritic cells drive the loss of adipose tissue regulatory T cells during obesity. Cell Metabolism. 33(8). 1610–1623.e5. 73 indexed citations
8.
Li, Lu, Xin Yu, Jinjing Liu, et al.. (2021). Neutrophil Extracellular Traps Promote Aberrant Macrophages Activation in Behçet’s Disease. Frontiers in Immunology. 11. 590622–590622. 42 indexed citations
9.
Yang, Tiansong, Xiaoling Li, Xiaohui Liu, et al.. (2021). Cerebral areas affected by unilateral acupuncture on SP3 in healthy volunteers: An explorative resting‐state fMRI study. Brain and Behavior. 11(4). e02057–e02057.
10.
Sivasami, Pulavendran & Chaoran Li. (2020). Derivation and Differentiation of Adipose-Tissue Regulatory T Cells: A Stepwise, Multi-Site Process. Frontiers in Immunology. 11. 599277–599277. 11 indexed citations
11.
Zhu, Motao, Guangtong Deng, Peng Tan, et al.. (2020). Beclin 2 negatively regulates innate immune signaling and tumor development. Journal of Clinical Investigation. 130(10). 5349–5369. 20 indexed citations
12.
Fernandes, Ricardo A., Chaoran Li, Gang Wang, et al.. (2020). Discovery of surrogate agonists for visceral fat Treg cells that modulate metabolic indices in vivo. eLife. 9. 23 indexed citations
13.
Li, Chaoran. (2020). Association between uveitis and psoriatic disease: a systematic review and Meta-analysis based on the evidence from cohort studies. International Journal of Ophthalmology. 13(4). 650–659. 10 indexed citations
14.
Yang, Tiansong, Yan Yang, Delong Wang, et al.. (2019). The clinical value of cytokines in chronic fatigue syndrome. Journal of Translational Medicine. 17(1). 213–213. 74 indexed citations
15.
Chen, Hua, Yuehua Zhang, Chaoran Li, et al.. (2019). Coronary involvement in patients with Behçet’s disease. Clinical Rheumatology. 38(10). 2835–2841. 21 indexed citations
16.
Zhu, Qingyuan, Peng Tan, Yinyin Li, et al.. (2018). DHX29 functions as an RNA co-sensor for MDA5-mediated EMCV-specific antiviral immunity. PLoS Pathogens. 14(2). e1006886–e1006886. 39 indexed citations
17.
Li, Chaoran, Joanna R. DiSpirito, David Zemmour, et al.. (2018). TCR Transgenic Mice Reveal Stepwise, Multi-site Acquisition of the Distinctive Fat-Treg Phenotype. Cell. 174(2). 285–299.e12. 171 indexed citations
18.
Kolodin, Dmitriy, Nicholas van Panhuys, Chaoran Li, et al.. (2015). Antigen- and Cytokine-Driven Accumulation of Regulatory T Cells in Visceral Adipose Tissue of Lean Mice. Cell Metabolism. 21(4). 543–557. 288 indexed citations
20.
Li, Chaoran. (2011). Experimental study about variation of inflammatory reaction in early stage of lipopolysaccharide-induced acute lung injury. Chinese Journal of Asthma. 31(24). 1857–1860. 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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