Lilin Ye

7.3k total citations
80 papers, 2.9k citations indexed

About

Lilin Ye is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Lilin Ye has authored 80 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Immunology, 19 papers in Molecular Biology and 14 papers in Epidemiology. Recurrent topics in Lilin Ye's work include Immune Cell Function and Interaction (48 papers), T-cell and B-cell Immunology (38 papers) and Immunotherapy and Immune Responses (21 papers). Lilin Ye is often cited by papers focused on Immune Cell Function and Interaction (48 papers), T-cell and B-cell Immunology (38 papers) and Immunotherapy and Immune Responses (21 papers). Lilin Ye collaborates with scholars based in China, United States and United Kingdom. Lilin Ye's co-authors include Rafi Ahmed, Xiaoping Zhu, Koichi Araki, J. Scott Hale, Lifan Xu, Derry C. Roopenian, Tuoqi Wu, Yuzhang Wu, Xiaojin Xu and Qizhao Huang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Lilin Ye

76 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lilin Ye China 27 1.9k 864 510 488 271 80 2.9k
Nicola Ternette United Kingdom 29 945 0.5× 1.6k 1.8× 340 0.7× 627 1.3× 208 0.8× 75 2.4k
Shahram Salek‐Ardakani United States 37 2.8k 1.5× 848 1.0× 463 0.9× 1.1k 2.2× 242 0.9× 70 3.9k
Florian Weisel United States 21 2.1k 1.1× 630 0.7× 456 0.9× 246 0.5× 115 0.4× 27 3.0k
Xuewu Zhang China 25 2.0k 1.0× 1.2k 1.4× 312 0.6× 680 1.4× 303 1.1× 54 2.9k
Wataru Ise Japan 23 3.0k 1.6× 760 0.9× 275 0.5× 533 1.1× 116 0.4× 41 3.8k
Elissa K. Deenick Australia 27 2.7k 1.4× 498 0.6× 288 0.6× 562 1.2× 136 0.5× 39 3.4k
Dieter Kube Germany 30 1.4k 0.8× 794 0.9× 764 1.5× 1.1k 2.3× 275 1.0× 76 3.2k
Katsuyuki Yui Japan 27 2.5k 1.3× 1.1k 1.3× 304 0.6× 489 1.0× 232 0.9× 100 3.6k
J. Alejandro López Australia 35 1.4k 0.7× 1.0k 1.2× 264 0.5× 971 2.0× 248 0.9× 74 3.0k

Countries citing papers authored by Lilin Ye

Since Specialization
Citations

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

Fields of papers citing papers by Lilin Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lilin Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Lilin Ye. A scholar is included among the top collaborators of Lilin Ye 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 Lilin Ye. Lilin Ye 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.
Sun, Lina, Cangang Zhang, Anjun Jiao, et al.. (2025). CCR2+ monocytes promote memory CD8+ T-cell differentiation via membrane-bound TGF-β. Cellular and Molecular Immunology. 22(8). 869–888.
2.
Wang, Xiangyang, Linsen Ye, Yuhao Zheng, et al.. (2025). FXR inhibition functions as a checkpoint blockade of the pathogenic Tfh cell response in lupus. Cellular and Molecular Immunology. 22(8). 889–900. 1 indexed citations
3.
Qin, Tian, Cheng Chen, Jinjin Lu, et al.. (2024). Ferroptosis exacerbates the clonal deletion of virus-specific exhausted CD8+ T cells. Frontiers in Immunology. 15. 1490845–1490845. 3 indexed citations
4.
Chen, Xiangyu, Yao Lin, Shuai Yue, et al.. (2023). PD-1/PD-L1 blockade restores tumor-induced COVID-19 vaccine bluntness. Vaccine. 41(34). 4986–4995. 2 indexed citations
5.
Duan, Zhaojun, et al.. (2023). The G allele of SNP rs3922 reduces the binding affinity between IGF2BP3 and CXCR5 correlating with a lower antibody production. European Journal of Immunology. 53(8). e2250261–e2250261. 1 indexed citations
6.
Yuan, Mengqi, Yujie Wang, Guozhong Zhang, et al.. (2023). An RBD bispecific antibody effectively neutralizes a SARS-CoV-2 Omicron variant. PubMed. 1(1). 12–12. 5 indexed citations
7.
Li, Jian, Lisen Lu, Kyle Binder, et al.. (2023). Mechanisms of antigen-induced reversal of CNS inflammation in experimental demyelinating disease. Science Advances. 9(9). eabo2810–eabo2810. 4 indexed citations
8.
You, Renrong, Min Huang, Lihua Tang, et al.. (2023). Identification and Comparison of the Sialic Acid-Binding Domain Characteristics of Avian Coronavirus Infectious Bronchitis Virus Spike Protein. Journal of Virology. 97(5). e0048923–e0048923. 10 indexed citations
9.
Zhang, Yanyan, Baohua Li, Qiang Baï, et al.. (2021). The lncRNA Snhg1-Vps13D vesicle trafficking system promotes memory CD8 T cell establishment via regulating the dual effects of IL-7 signaling. Signal Transduction and Targeted Therapy. 6(1). 126–126. 32 indexed citations
10.
Yao, Yingpeng, Ying Yang, Wenhui Guo, et al.. (2021). METTL3-dependent m6A modification programs T follicular helper cell differentiation. Nature Communications. 12(1). 1333–1333. 137 indexed citations
11.
Zhang, Linxia, Anli Zhang, Jun Xu, et al.. (2020). CD160 Plays a Protective Role During Chronic Infection by Enhancing Both Functionalities and Proliferative Capacity of CD8+ T Cells. Frontiers in Immunology. 11. 2188–2188. 18 indexed citations
12.
Xu, Kaihong, Xiao Yan, Guifang Ouyang, et al.. (2020). Upregulated miR-96-5p inhibits cell proliferation by targeting HBEGF in T-cell acute lymphoblastic leukemia cell line. Folia Histochemica et Cytobiologica. 58(3). 219–226. 2 indexed citations
13.
Huang, Qizhao, Lifan Xu, & Lilin Ye. (2019). T cell immune response within B-cell follicles. Advances in immunology. 144. 155–171. 14 indexed citations
14.
Xiao, Minglu, Xiangyu Chen, Ran He, & Lilin Ye. (2018). Differentiation and Function of Follicular CD8 T Cells During Human Immunodeficiency Virus Infection. Frontiers in Immunology. 9. 1095–1095. 9 indexed citations
15.
Xu, Lifan, Yi Cao, Zhunyi Xie, et al.. (2015). The transcription factor TCF-1 initiates the differentiation of TFH cells during acute viral infection. Nature Immunology. 16(9). 991–999. 172 indexed citations
16.
Ye, Lilin, et al.. (2011). Efficient mucosal vaccination mediated by the neonatal Fc receptor (155.9). The Journal of Immunology. 186(1_Supplement). 155.9–155.9. 1 indexed citations
17.
Ye, Lilin, Xindong Liu, Zili Li, et al.. (2008). The MHC Class II-Associated Invariant Chain Interacts with the Neonatal Fcγ Receptor and Modulates Its Trafficking to Endosomal/Lysosomal Compartments. The Journal of Immunology. 181(4). 2572–2585. 43 indexed citations
18.
19.
Liu, Xindong, et al.. (2007). NF-κB Signaling Regulates Functional Expression of the MHC Class I-Related Neonatal Fc Receptor for IgG via Intronic Binding Sequences. The Journal of Immunology. 179(5). 2999–3011. 85 indexed citations
20.
Zhu, Xiaoping, Junmin Peng, Daohong Chen, et al.. (2005). Calnexin and ERp57 Facilitate the Assembly of the Neonatal Fc Receptor for IgG with β2-Microglobulin in the Endoplasmic Reticulum. The Journal of Immunology. 175(2). 967–976. 14 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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