Ling-Li Lin

728 total citations
18 papers, 544 citations indexed

About

Ling-Li Lin is a scholar working on Immunology, Cancer Research and Molecular Biology. According to data from OpenAlex, Ling-Li Lin has authored 18 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Immunology, 8 papers in Cancer Research and 5 papers in Molecular Biology. Recurrent topics in Ling-Li Lin's work include Immune Cell Function and Interaction (9 papers), Immunotherapy and Immune Responses (6 papers) and T-cell and B-cell Immunology (6 papers). Ling-Li Lin is often cited by papers focused on Immune Cell Function and Interaction (9 papers), Immunotherapy and Immune Responses (6 papers) and T-cell and B-cell Immunology (6 papers). Ling-Li Lin collaborates with scholars based in United States, Taiwan and Germany. Ling-Li Lin's co-authors include Li‐Fan Lu, Sunglim Cho, Randolph J. Noelle, Alexander Y. Rudensky, Aly A. Khan, Shie-Liang Hsieh, Ai‐Hsiang Chou, I‐Shing Yu, Ping‐I Hsu and Shu‐Wha Lin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Ling-Li Lin

17 papers receiving 541 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ling-Li Lin United States 12 317 222 217 67 39 18 544
Dimitri de Kouchkovsky United States 7 359 1.1× 247 1.1× 204 0.9× 37 0.6× 21 0.5× 10 573
Stewart T. Moran United States 8 490 1.5× 108 0.5× 233 1.1× 57 0.9× 35 0.9× 9 717
Jihène Klibi France 8 301 0.9× 254 1.1× 399 1.8× 175 2.6× 38 1.0× 14 663
Dianne Emslie Australia 11 569 1.8× 76 0.3× 197 0.9× 99 1.5× 43 1.1× 11 780
Kentner L. Singleton United States 8 512 1.6× 61 0.3× 159 0.7× 93 1.4× 42 1.1× 11 657
Sakeenah L. Hicks United States 11 317 1.0× 85 0.4× 163 0.8× 74 1.1× 81 2.1× 27 544
Ivy Suzuki United States 8 419 1.3× 78 0.4× 261 1.2× 71 1.1× 64 1.6× 10 597
Yanggu Shi United States 9 187 0.6× 73 0.3× 257 1.2× 79 1.2× 31 0.8× 11 517
Lifan Xu China 10 432 1.4× 87 0.4× 208 1.0× 153 2.3× 32 0.8× 24 643
MacLean Sellars United States 10 246 0.8× 81 0.4× 268 1.2× 71 1.1× 18 0.5× 11 522

Countries citing papers authored by Ling-Li Lin

Since Specialization
Citations

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

Fields of papers citing papers by Ling-Li Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling-Li Lin

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

All Works

18 of 18 papers shown
1.
Dong, Jiayi, et al.. (2023). miR-15/16 clusters restrict effector Treg cell differentiation and function. The Journal of Experimental Medicine. 220(10). 3 indexed citations
2.
Lin, Chia‐Hao, Cheng-Jang Wu, Sunglim Cho, et al.. (2023). Selective IL-27 production by intestinal regulatory T cells permits gut-specific regulation of TH17 cell immunity. Nature Immunology. 24(12). 2108–2120. 22 indexed citations
3.
Lin, Chia‐Hao, Ling-Li Lin, David A. Christian, et al.. (2021). Gut epithelial IL-27 confers intestinal immunity through the induction of intraepithelial lymphocytes. The Journal of Experimental Medicine. 218(11). 18 indexed citations
4.
Dong, Jiayi, et al.. (2020). miR-155 promotes T reg cell development by safeguarding medullary thymic epithelial cell maturation. The Journal of Experimental Medicine. 218(2). 14 indexed citations
5.
Cho, Sunglim, Hyang‐Mi Lee, I‐Shing Yu, et al.. (2018). Differential cell-intrinsic regulations of germinal center B and T cells by miR-146a and miR-146b. Nature Communications. 9(1). 2757–2757. 57 indexed citations
6.
Cho, Sunglim, Cheng-Jang Wu, Duc T. Nguyen, et al.. (2017). A Novel miR-24–TCF1 Axis in Modulating Effector T Cell Responses. The Journal of Immunology. 198(10). 3919–3926. 16 indexed citations
7.
Hashemifar, Somaye, Cheng-Jang Wu, Sunglim Cho, et al.. (2017). Excessive expression of miR-27 impairs Treg-mediated immunological tolerance. Journal of Clinical Investigation. 127(2). 530–542. 48 indexed citations
8.
Cho, Sunglim, Cheng-Jang Wu, Tomoharu Yasuda, et al.. (2016). MiR-23~27~24 clusters control effector T cell differentiation and function. The Journal of Immunology. 196(1_Supplement). 127.4–127.4. 2 indexed citations
9.
Cho, Sunglim, Cheng-Jang Wu, Tomoharu Yasuda, et al.. (2016). miR-23∼27∼24 clusters control effector T cell differentiation and function. The Journal of Cell Biology. 212(4). 2124OIA22–2124OIA22. 5 indexed citations
10.
Cho, Sunglim, Hyang‐Mi Lee, Youn Soo Choi, et al.. (2016). miR-146a restricts germinal center B cell responses through targeting CD40 signaling pathway. The Journal of Immunology. 196(1_Supplement). 127.11–127.11.
11.
Lu, Li‐Fan, Georg Gasteiger, I‐Shing Yu, et al.. (2015). A Single miRNA-mRNA Interaction Affects the Immune Response in a Context- and Cell-Type-Specific Manner. Immunity. 43(1). 52–64. 144 indexed citations
12.
Lee, Hyang‐Mi, Ruth Forman, Sunglim Cho, et al.. (2015). IFNγ Signaling Endows DCs with the Capacity to Control Type I Inflammation during Parasitic Infection through Promoting T-bet+ Regulatory T Cells. PLoS Pathogens. 11(2). e1004635–e1004635. 21 indexed citations
13.
Wu, Cheng-Jang, Sunglim Cho, Tomoharu Yasuda, et al.. (2015). miR-23~27~24 clusters restrict Th2 immunity and associated immunopathology during airway allergic reaction (HYP2P.335). The Journal of Immunology. 194(1_Supplement). 53.16–53.16. 1 indexed citations
14.
Shih, Hsin‐Yu, et al.. (2010). Co-opetition of cooperative and competitive relationship: A network analysis approach. Portland International Conference on Management of Engineering and Technology. 1–8. 2 indexed citations
15.
Lu, Li‐Fan, Cory L. Ahonen, Evan Lind, et al.. (2007). The in vivo function of a noncanonical TRAF2-binding domain in the C-terminus of CD40 in driving B-cell growth and differentiation. Blood. 110(1). 193–200. 21 indexed citations
16.
Lu, Li‐Fan, W. James Cook, Ling-Li Lin, & Randolph J. Noelle. (2003). CD40 Signaling through a Newly Identified Tumor Necrosis Factor Receptor-associated Factor 2 (TRAF2) Binding Site. Journal of Biological Chemistry. 278(46). 45414–45418. 34 indexed citations
17.
Erickson, Loren D., Ling-Li Lin, Biyan Duan, Laurence Morel, & Randolph J. Noelle. (2003). A genetic lesion that arrests plasma cell homing to the bone marrow. Proceedings of the National Academy of Sciences. 100(22). 12905–12910. 51 indexed citations
18.
Chou, Ai‐Hsiang, Hwei-Fang Tsai, Ling-Li Lin, et al.. (2001). Enhanced Proliferation and Increased IFN-γ Production in T Cells by Signal Transduced Through TNF-Related Apoptosis-Inducing Ligand. The Journal of Immunology. 167(3). 1347–1352. 85 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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