Yi‐Ling Chen

5.3k total citations
95 papers, 2.3k citations indexed

About

Yi‐Ling Chen is a scholar working on Molecular Biology, Immunology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yi‐Ling Chen has authored 95 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 28 papers in Immunology and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yi‐Ling Chen's work include Immune Cell Function and Interaction (15 papers), T-cell and B-cell Immunology (12 papers) and Advanced Image and Video Retrieval Techniques (9 papers). Yi‐Ling Chen is often cited by papers focused on Immune Cell Function and Interaction (15 papers), T-cell and B-cell Immunology (12 papers) and Advanced Image and Video Retrieval Techniques (9 papers). Yi‐Ling Chen collaborates with scholars based in Taiwan, China and United States. Yi‐Ling Chen's co-authors include Graham S. Ogg, Nai‐Hwa Lien, Clare S. Hardman, Shao‐Yi Chien, Danuta Gutowska‐Owsiak, Bing‐Yu Chen, Maryam Salimi, Hung-Chang Chiu, Rong-Hao Liang and Liwei Chan 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

Yi‐Ling Chen

87 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yi‐Ling Chen Taiwan 25 731 629 246 227 200 95 2.3k
Matthew Cooper United States 33 453 0.6× 394 0.6× 414 1.7× 207 0.9× 915 4.6× 181 3.7k
Quan Nguyen Australia 27 476 0.7× 1.7k 2.7× 278 1.1× 70 0.3× 78 0.4× 99 3.1k
Anne R. Haake United States 20 138 0.2× 571 0.9× 136 0.6× 258 1.1× 169 0.8× 59 1.5k
Paul Kim United States 32 253 0.3× 1.1k 1.7× 348 1.4× 32 0.1× 31 0.2× 119 2.6k
Zhi Hong Chen China 26 132 0.2× 493 0.8× 380 1.5× 38 0.2× 52 0.3× 148 2.3k
Eric Lee United States 26 399 0.5× 2.4k 3.9× 201 0.8× 14 0.1× 96 0.5× 67 4.3k
Stefan Kolb Switzerland 25 279 0.4× 465 0.7× 143 0.6× 24 0.1× 66 0.3× 59 2.8k
Charles Chen United States 30 152 0.2× 1.6k 2.6× 441 1.8× 69 0.3× 67 0.3× 146 4.9k
Daniele Merico Canada 31 719 1.0× 3.8k 6.0× 536 2.2× 47 0.2× 80 0.4× 78 6.6k

Countries citing papers authored by Yi‐Ling Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yi‐Ling Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi‐Ling Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Yi‐Ling Chen. A scholar is included among the top collaborators of Yi‐Ling 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 Yi‐Ling Chen. Yi‐Ling 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.
Gu, Qian, Yan Lin, Yi‐Ling Chen, et al.. (2025). From leaf to blend: CNN-enhanced multi-source feature fusion enables threshold-driven style control in digital tobacco formulation. Biotechnology for Biofuels and Bioproducts. 18(1). 104–104.
2.
Ye, Jianghua, Qi Zhang, Yuhua Wang, et al.. (2024). Joint analysis of transcriptome and hormone metabolome on the mechanism of pruning effect on tea tree (Camellia sinensis) growth. Industrial Crops and Products. 218. 118929–118929. 4 indexed citations
3.
Li, Mingxi, Zhaohua Lin, Shu Liu, et al.. (2024). DNAzyme assisted single amplification for FEN1 activity detection using a personal glucose meter. Analytica Chimica Acta. 1336. 343495–343495. 3 indexed citations
5.
Chen, Yi‐Ling, Yinan Liu, Yen‐Ting Lin, et al.. (2023). LncRNA SLCO4A1-AS1 suppresses lung cancer progression by sequestering the TOX4-NTSR1 signaling axis. Journal of Biomedical Science. 30(1). 80–80. 14 indexed citations
7.
Chen, Yi‐Ling, et al.. (2023). Association between tonsillectomy and COVID-19 in chronic tonsillitis patients. British journal of surgery. 110(11). 1553–1554. 1 indexed citations
8.
Wu, Shang‐Gin, et al.. (2023). Different treatment efficacies and T790M acquisition of EGFR‐TKIs on NSCLC patients with variable Del‐19 subtypes of EGFR. International Journal of Cancer. 153(2). 352–363. 4 indexed citations
9.
Hardman, Clare S., Jeongmin Woo, Randeep Singh, et al.. (2022). Dengue virus co-opts innate type 2 pathways to escape early control of viral replication. Communications Biology. 5(1). 735–735. 17 indexed citations
10.
Hardman, Clare S., Yi‐Ling Chen, Marcin Wegrecki, et al.. (2022). CD1a promotes systemic manifestations of skin inflammation. Nature Communications. 13(1). 7535–7535. 11 indexed citations
11.
Hardman, Clare S., Yi‐Ling Chen, Maryam Salimi, et al.. (2021). IL-6 effector function of group 2 innate lymphoid cells (ILC2) is NOD2 dependent. Science Immunology. 6(59). 12 indexed citations
12.
Cotton, Rachel N., Marcin Wegrecki, Tan‐Yun Cheng, et al.. (2021). CD1a selectively captures endogenous cellular lipids that broadly block T cell response. The Journal of Experimental Medicine. 218(7). 31 indexed citations
13.
Ashouri, Judith F., Lih‐Yun Hsu, Steven Yu, et al.. (2019). Reporters of TCR signaling identify arthritogenic T cells in murine and human autoimmune arthritis. Proceedings of the National Academy of Sciences. 116(37). 18517–18527. 21 indexed citations
14.
Chen, Yi‐Ling, Danuta Gutowska‐Owsiak, Clare S. Hardman, et al.. (2019). Proof-of-concept clinical trial of etokimab shows a key role for IL-33 in atopic dermatitis pathogenesis. Science Translational Medicine. 11(515). 194 indexed citations
15.
Chen, Yi‐Ling, Tomás Gomes, Clare S. Hardman, et al.. (2019). Re-evaluation of human BDCA-2+ DC during acute sterile skin inflammation. The Journal of Experimental Medicine. 217(3). 34 indexed citations
16.
Hardman, Clare S., Yi‐Ling Chen, Maryam Salimi, et al.. (2017). CD1a presentation of endogenous antigens by group 2 innate lymphoid cells. Science Immunology. 2(18). 61 indexed citations
17.
Cheung, Ka Lun, Rachael Jarrett, Sumithra Subramaniam, et al.. (2016). Psoriatic T cells recognize neolipid antigens generated by mast cell phospholipase delivered by exosomes and presented by CD1a. The Journal of Experimental Medicine. 213(11). 2399–2412. 200 indexed citations
18.
Chen, Yi‐Ling & Hung-Chang Chiu. (2009). The effects of relational bonds on online customer satisfaction. Service Industries Journal. 29(11). 1581–1595. 53 indexed citations
19.
Chen, Yi‐Ling, et al.. (1991). Seed Morphology of Impatiens L. (Balsaminaceae) and Its Taxonomic Significance. Journal of Systematics and Evolution. 29(3). 252–257. 20 indexed citations
20.
Chen, Yi‐Ling, et al.. (1990). SIX NEW SPECIES OF IMPATIENS FROM -SICHUAN. Plant Diversity. 12(1). 1. 3 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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