I-hsin Su

5.5k total citations
30 papers, 3.6k citations indexed

About

I-hsin Su is a scholar working on Molecular Biology, Immunology and Immunology and Allergy. According to data from OpenAlex, I-hsin Su has authored 30 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 15 papers in Immunology and 5 papers in Immunology and Allergy. Recurrent topics in I-hsin Su's work include Epigenetics and DNA Methylation (14 papers), Cancer-related gene regulation (9 papers) and Immune Cell Function and Interaction (6 papers). I-hsin Su is often cited by papers focused on Epigenetics and DNA Methylation (14 papers), Cancer-related gene regulation (9 papers) and Immune Cell Function and Interaction (6 papers). I-hsin Su collaborates with scholars based in Singapore, United States and Germany. I-hsin Su's co-authors include Alexander Tarakhovsky, Ashwin Basavaraj, Andrew N. Krutchinsky, Axel Ullrich, Brian T. Chait, Oliver Hobert, Nicole Stokes, Elena Ezhkova, Joel S. Parker and H. Amalia Pasolli 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

I-hsin Su

30 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
I-hsin Su Singapore 21 2.4k 1.1k 462 447 321 30 3.6k
Jillian Nicholl Australia 18 2.5k 1.0× 1.6k 1.5× 522 1.1× 716 1.6× 715 2.2× 28 3.9k
Orlando Domı́nguez Spain 33 2.1k 0.9× 736 0.7× 448 1.0× 514 1.1× 454 1.4× 62 3.6k
Takafumi Noma Japan 29 1.4k 0.6× 1.2k 1.1× 244 0.5× 245 0.5× 405 1.3× 84 3.1k
Linda A. Cannizzaro United States 30 2.5k 1.0× 797 0.7× 647 1.4× 397 0.9× 585 1.8× 75 3.9k
Masao Murakami Japan 31 1.8k 0.8× 1.3k 1.1× 495 1.1× 169 0.4× 363 1.1× 81 4.0k
Igor Dozmorov United States 30 1.1k 0.5× 1.1k 1.0× 210 0.5× 298 0.7× 323 1.0× 97 2.7k
Ronald J. Diebold United States 11 1.7k 0.7× 966 0.9× 373 0.8× 259 0.6× 608 1.9× 11 3.3k
Ben-Zion Levi Israel 32 2.3k 1.0× 1.3k 1.2× 409 0.9× 718 1.6× 1.1k 3.5× 56 4.2k
Gerard Brady United Kingdom 29 1.6k 0.7× 564 0.5× 443 1.0× 327 0.7× 737 2.3× 57 2.9k
Robin L. Wesselschmidt United States 22 1.5k 0.6× 1.1k 1.0× 381 0.8× 435 1.0× 547 1.7× 33 3.3k

Countries citing papers authored by I-hsin Su

Since Specialization
Citations

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

Fields of papers citing papers by I-hsin Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I-hsin Su. 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 I-hsin Su. The network helps show where I-hsin Su may publish in the future.

Co-authorship network of co-authors of I-hsin Su

This figure shows the co-authorship network connecting the top 25 collaborators of I-hsin Su. A scholar is included among the top collaborators of I-hsin Su 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 I-hsin Su. I-hsin Su 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.
Yeong, Joe, et al.. (2020). IRF-7 Mediates Type I IFN Responses in Endotoxin-Challenged Mice. Frontiers in Immunology. 11. 640–640. 28 indexed citations
2.
Ruedl, Christiane, et al.. (2020). Talin1 controls dendritic cell activation by regulating TLR complex assembly and signaling. The Journal of Experimental Medicine. 217(8). 14 indexed citations
3.
Su, I-hsin, et al.. (2018). Talin1 Methylation Is Required for Neutrophil Infiltration and Lipopolysaccharide-Induced Lethality. The Journal of Immunology. 201(12). 3651–3661. 9 indexed citations
4.
Shrestha, Smeeta, et al.. (2017). Estrogen reprograms the activity of neutrophils to foster protumoral microenvironment during mammary involution. Scientific Reports. 7(1). 46485–46485. 33 indexed citations
5.
Su, I-hsin, et al.. (2016). Isolation and Activation of Murine Lymphocytes. Journal of Visualized Experiments. 42 indexed citations
6.
Gunawan, Merry, Nandini Venkatesan, Jia Tong Loh, et al.. (2015). The methyltransferase Ezh2 controls cell adhesion and migration through direct methylation of the extranuclear regulatory protein talin. Nature Immunology. 16(5). 505–516. 136 indexed citations
7.
Neo, Wen Hao, et al.. (2014). c-Rel Regulates Ezh2 Expression in Activated Lymphocytes and Malignant Lymphoid Cells. Journal of Biological Chemistry. 289(46). 31693–31707. 31 indexed citations
8.
Neo, Wen Hao, Karen Yap, Liang‐Sheng Looi, et al.. (2014). MicroRNA miR-124 Controls the Choice between Neuronal and Astrocyte Differentiation by Fine-tuning Ezh2 Expression. Journal of Biological Chemistry. 289(30). 20788–20801. 98 indexed citations
9.
Chan, Yun-Shen, Jonathan Göke, Xinyi Lu, et al.. (2012). A PRC2-Dependent Repressive Role of PRDM14 in Human Embryonic Stem Cells and Induced Pluripotent Stem Cell Reprogramming. Stem Cells. 31(4). 682–692. 57 indexed citations
10.
Ezhkova, Elena, H. Amalia Pasolli, Joel S. Parker, et al.. (2009). Ezh2 Orchestrates Gene Expression for the Stepwise Differentiation of Tissue-Specific Stem Cells. Cell. 136(6). 1122–1135. 467 indexed citations
11.
Chen, Hainan, Xueying Gu, I-hsin Su, et al.. (2009). Polycomb protein Ezh2 regulates pancreatic β-cell Ink4a/Arf expression and regeneration in diabetes mellitus. Genes & Development. 23(8). 975–985. 296 indexed citations
12.
Xu, Shengli, Jianxin Huo, Merry Gunawan, I-hsin Su, & Kong‐Peng Lam. (2009). Activated Dectin-1 Localizes to Lipid Raft Microdomains for Signaling and Activation of Phagocytosis and Cytokine Production in Dendritic Cells. Journal of Biological Chemistry. 284(33). 22005–22011. 62 indexed citations
13.
Su, I-hsin & Alexander Tarakhovsky. (2006). Lysine methylation and ‘signaling memory’. Current Opinion in Immunology. 18(2). 152–157. 15 indexed citations
14.
Su, I-hsin, Marc‐Werner Dobenecker, Matthew G. Oser, et al.. (2005). Polycomb Group Protein Ezh2 Controls Actin Polymerization and Cell Signaling. Cell. 121(3). 425–436. 302 indexed citations
15.
Su, I-hsin & Alexander Tarakhovsky. (2005). Epigenetic control of B cell differentiation. Seminars in Immunology. 17(2). 167–172. 18 indexed citations
16.
Saijo, Kaoru, Christian Schmedt, I-hsin Su, et al.. (2003). Essential role of Src-family protein tyrosine kinases in NF-κB activation during B cell development. Nature Immunology. 4(3). 274–279. 243 indexed citations
17.
Su, I-hsin, Ashwin Basavaraj, Andrew N. Krutchinsky, et al.. (2002). Ezh2 controls B cell development through histone H3 methylation and Igh rearrangement. Nature Immunology. 4(2). 124–131. 481 indexed citations
18.
Ogata, Hirotaka, I-hsin Su, Kensuke Miyake, et al.. (2000). The Toll-like Receptor Protein Rp105 Regulates Lipopolysaccharide Signaling in B Cells. The Journal of Experimental Medicine. 192(1). 23–30. 251 indexed citations
19.
Su, I-hsin & Alexander Tarakhovsky. (2000). B-1 cells: orthodox or conformist?. Current Opinion in Immunology. 12(2). 191–194. 27 indexed citations
20.
Chan, Vivien W., Ingrid Mecklenbräuker, I-hsin Su, et al.. (1998). The Molecular Mechanism of B Cell Activation by toll-like Receptor Protein RP-105. The Journal of Experimental Medicine. 188(1). 93–101. 89 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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