Kuo‐I Lin

7.5k total citations · 3 hit papers
80 papers, 5.8k citations indexed

About

Kuo‐I Lin is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Kuo‐I Lin has authored 80 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Immunology, 44 papers in Molecular Biology and 7 papers in Epidemiology. Recurrent topics in Kuo‐I Lin's work include Immune Cell Function and Interaction (27 papers), T-cell and B-cell Immunology (20 papers) and Glycosylation and Glycoproteins Research (18 papers). Kuo‐I Lin is often cited by papers focused on Immune Cell Function and Interaction (27 papers), T-cell and B-cell Immunology (20 papers) and Glycosylation and Glycoproteins Research (18 papers). Kuo‐I Lin collaborates with scholars based in Taiwan, United States and United Kingdom. Kuo‐I Lin's co-authors include Kathryn Calame, Tracy C. Kuo, Cristina Angelin‐Duclos, Jerry Liao, Miriam A. Shelef, Rajiv R. Ratan, Chainarong Tunyaplin, Louise J. McHeyzer‐Williams, Michael G. McHeyzer‐Williams and Jay M. Baraban and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Kuo‐I Lin

77 papers receiving 5.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Blimp-1 Orchestrates Plasma Cell Differentiation by Extinguishing the Mature B Cell Gene Expression Program

2002 799 citations Kuo‐I Lin, Tracy C. Kuo et al. profile →
Blimp-1 Is Required for the Formation of Immunoglobulin Secreting Plasma Cells and Pre-Plasma Memory B Cells

2003 653 citations Miriam A. Shelef, Kuo‐I Lin et al. profile →
Streamlined single-cell proteomics by an integrated microfluidic chip and data-independent acquisition mass spectrometry

2022 136 citations Asad Ali Siyal, Reta Birhanu Kitata et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kuo‐I Lin Taiwan	37	3.1k	2.5k	737	569	421	80	5.8k
Ottmar Janßen Germany	42	3.0k 1.0×	2.3k 0.9×	1.1k 1.5×	490 0.9×	301 0.7×	135	5.6k
Rie Watanabe‐Fukunaga Japan	19	3.2k 1.0×	4.2k 1.7×	976 1.3×	663 1.2×	289 0.7×	21	6.9k
Yuko Kawakami United States	49	3.7k 1.2×	2.0k 0.8×	603 0.8×	354 0.6×	336 0.8×	131	6.3k
Hermann Gram Switzerland	40	1.6k 0.5×	3.8k 1.5×	763 1.0×	868 1.5×	269 0.6×	74	6.1k
K. Mark Coggeshall United States	49	3.9k 1.2×	3.6k 1.5×	919 1.2×	407 0.7×	209 0.5×	110	7.3k
Kris A. Reedquist Netherlands	43	2.1k 0.7×	2.9k 1.2×	1.1k 1.5×	508 0.9×	245 0.6×	91	5.6k
Zhengbin Yao United States	35	2.8k 0.9×	1.9k 0.8×	857 1.2×	496 0.9×	360 0.9×	46	5.9k
Shigetoshi Sano Japan	42	2.8k 0.9×	2.0k 0.8×	2.0k 2.7×	585 1.0×	584 1.4×	169	6.4k
Larry Kane United States	44	4.5k 1.5×	2.4k 1.0×	2.2k 3.0×	761 1.3×	403 1.0×	96	6.8k
Erhard Hofer Austria	33	1.7k 0.6×	2.8k 1.1×	928 1.3×	770 1.4×	259 0.6×	72	5.3k

Countries citing papers authored by Kuo‐I Lin

Since Specialization

Citations

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

Fields of papers citing papers by Kuo‐I Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuo‐I 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 Kuo‐I Lin. The network helps show where Kuo‐I Lin may publish in the future.

Co-authorship network of co-authors of Kuo‐I Lin

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Liang, Suh‐Yuen, et al.. (2025). Insights into the transcriptional regulation of CD22 in B cell chronic lymphocytic leukemia. Journal of Biological Chemistry. 301(4). 108386–108386.

Chang, Yu‐Chan, Chi‐Long Chen, Michael Hsiao, et al.. (2024). B4GALT1-dependent galectin-8 binding with TGF-β receptor suppresses colorectal cancer progression and metastasis. Cell Death and Disease. 15(9). 654–654. 2 indexed citations

Liu, Ze, Justin Wang, Yi Shi, et al.. (2023). Seryl-tRNA synthetase promotes translational readthrough by mRNA binding and involvement of the selenocysteine incorporation machinery. Nucleic Acids Research. 51(19). 10768–10781. 10 indexed citations

Wang, Szu‐Wen, Kuo‐Shiang Liao, Hsinyu Lee, et al.. (2023). Mechanism of Antigen Presentation and Specificity of Antibody Cross-Reactivity Elicited by an Oligosaccharide-Conjugate Cancer Vaccine. Journal of the American Chemical Society. 145(17). 9840–9849. 4 indexed citations

Wu, Hsin‐Yi, Shang‐Ju Wu, Kuen‐Tyng Lin, et al.. (2022). Phosphoproteomics Reveals the Role of Constitutive KAP1 Phosphorylation by B-cell Receptor Signaling in Chronic Lymphocytic Leukemia. Molecular Cancer Research. 20(8). 1222–1232.

Siyal, Asad Ali, Reta Birhanu Kitata, Takashi Angata, et al.. (2022). Streamlined single-cell proteomics by an integrated microfluidic chip and data-independent acquisition mass spectrometry. Nature Communications. 13(1). 37–37. 136 indexed citations breakdown →

Tseng, Yung-Chieh, Chia-Lin Chen, Hsin-Yu Liao, et al.. (2021). A non-neutralizing antibody broadly protects against influenza virus infection by engaging effector cells. PLoS Pathogens. 17(8). e1009724–e1009724. 24 indexed citations

Chen, Heng-Yi, Feng‐Cheng Chou, Li‐Tzu Yeh, et al.. (2020). Intracellular Galectin-9 Enhances Proximal TCR Signaling and Potentiates Autoimmune Diseases. The Journal of Immunology. 204(5). 1158–1172. 38 indexed citations

Liu, Chin‐Hsiu, Chun‐Hsiung Chen, Kuo-Hsuan Hung, et al.. (2019). HLA-B27–mediated activation of TNAP phosphatase promotes pathogenic syndesmophyte formation in ankylosing spondylitis. Journal of Clinical Investigation. 129(12). 5357–5373. 57 indexed citations

10.

Chiang, Ming‐Tsai, Chih‐Wen Yang, Huan-Yuan Chen, et al.. (2018). Galectin-1 Restricts Vascular Smooth Muscle Cell Motility Via Modulating Adhesion Force and Focal Adhesion Dynamics. Scientific Reports. 8(1). 11497–11497. 30 indexed citations

11.

Lee, Mei–Hsuan, et al.. (2016). Maternal vitamin A deficiency during pregnancy affects vascularized islet development. The Journal of Nutritional Biochemistry. 36. 51–59. 17 indexed citations

12.

Lin, I‐Ying, Feng‐Lan Chiu, Chen‐Hsiang Yeang, et al.. (2014). Suppression of the SOX2 Neural Effector Gene by PRDM1 Promotes Human Germ Cell Fate in Embryonic Stem Cells. Stem Cell Reports. 2(2). 189–204. 42 indexed citations

13.

Wang‎, Shuihua, Chih‐Ming Tsai, Kuo‐I Lin, & Kay‐Hooi Khoo. (2013). Advanced mass spectrometry and chemical analyses reveal the presence of terminal disialyl motif on mouse B-cell glycoproteins. Glycobiology. 23(6). 677–689. 13 indexed citations

14.

Chou, Feng‐Cheng, Shin‐Huei Fu, Hung‐Yi Chiou, et al.. (2012). B lymphocyte-induced maturation protein 1 (BLIMP-1) attenuates autoimmune diabetes in NOD mice by suppressing Th1 and Th17 cells. Diabetologia. 56(1). 136–146. 29 indexed citations

15.

Chen, Mei‐Yu, et al.. (2009). Involvement of Histone Demethylase LSD1 in Blimp-1-Mediated Gene Repression during Plasma Cell Differentiation. Molecular and Cellular Biology. 29(6). 1421–1431. 118 indexed citations

16.

Chen, Ming‐Hsu, et al.. (2009). Absence of the Transcriptional Repressor Blimp-1 in Hematopoietic Lineages Reveals Its Role in Dendritic Cell Homeostatic Development and Function. The Journal of Immunology. 183(11). 7039–7046. 54 indexed citations

17.

Shelef, Miriam A., Kuo‐I Lin, David A. Savitsky, Jerry Liao, & Kathryn Calame. (2005). Blimp-1 is required for maintenance of long-lived plasma cells in the bone marrow. The Journal of Experimental Medicine. 202(11). 1471–1476. 178 indexed citations

18.

Lin, Kuo‐I, Cristina Angelin‐Duclos, Tracy C. Kuo, & Kathryn Calame. (2002). Blimp-1-Dependent Repression of Pax-5 Is Required for Differentiation of B Cells to Immunoglobulin M-Secreting Plasma Cells. Molecular and Cellular Biology. 22(13). 4771–4780. 353 indexed citations

19.

Angelin‐Duclos, Cristina, Giorgio Cattoretti, Kuo‐I Lin, & Kathryn Calame. (2000). Commitment of B Lymphocytes to a Plasma Cell Fate Is Associated with Blimp-1 Expression In Vivo. The Journal of Immunology. 165(10). 5462–5471. 262 indexed citations

20.

Lin, Kuo‐I, Jay M. Baraban, & Rajiv R. Ratan. (1998). Inhibition versus induction of apoptosis by proteasome inhibitors depends on concentration. Cell Death and Differentiation. 5(7). 577–583. 66 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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