Shu-Ching Huang

812 total citations
21 papers, 685 citations indexed

About

Shu-Ching Huang is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Shu-Ching Huang has authored 21 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 6 papers in Cell Biology and 6 papers in Physiology. Recurrent topics in Shu-Ching Huang's work include Erythrocyte Function and Pathophysiology (6 papers), RNA modifications and cancer (6 papers) and RNA Research and Splicing (6 papers). Shu-Ching Huang is often cited by papers focused on Erythrocyte Function and Pathophysiology (6 papers), RNA modifications and cancer (6 papers) and RNA Research and Splicing (6 papers). Shu-Ching Huang collaborates with scholars based in United States, Taiwan and Canada. Shu-Ching Huang's co-authors include Edward J. Benz, Subhendra N. Mattagajasingh, Alexander Ou, Anyu Zhou, Aikaterini Kontrogianni‐Konstantopoulos, M Snyder, Vincent T. Marchesi, Guang Yang, Robert A. Thomas and Albert Siegel and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and The Journal of Cell Biology.

In The Last Decade

Shu-Ching Huang

21 papers receiving 672 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shu-Ching Huang United States 13 456 154 119 63 61 21 685
Takeshi Asakura Japan 15 466 1.0× 372 2.4× 73 0.6× 21 0.3× 35 0.6× 44 921
Canhong Cao United States 10 592 1.3× 403 2.6× 79 0.7× 26 0.4× 49 0.8× 11 876
Weiwei Deng China 16 425 0.9× 100 0.6× 48 0.4× 77 1.2× 45 0.7× 61 885
Frida Danielsson Sweden 7 367 0.8× 116 0.8× 41 0.3× 16 0.3× 15 0.2× 12 632
Wenda Shurety Australia 9 329 0.7× 217 1.4× 95 0.8× 12 0.2× 17 0.3× 13 636
Maureen Mee United Kingdom 11 412 0.9× 167 1.1× 97 0.8× 8 0.1× 53 0.9× 14 678
Christel Navarro France 12 756 1.7× 690 4.5× 36 0.3× 26 0.4× 36 0.6× 13 1.1k
Yick W. Fong United States 14 1.1k 2.4× 51 0.3× 178 1.5× 41 0.7× 14 0.2× 19 1.3k
Yunqing Li China 15 471 1.0× 48 0.3× 38 0.3× 30 0.5× 31 0.5× 54 672
Jennifer E. Klomp United States 10 254 0.6× 148 1.0× 110 0.9× 11 0.2× 13 0.2× 14 439

Countries citing papers authored by Shu-Ching Huang

Since Specialization
Citations

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

Fields of papers citing papers by Shu-Ching Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shu-Ching Huang. 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 Shu-Ching Huang. The network helps show where Shu-Ching Huang may publish in the future.

Co-authorship network of co-authors of Shu-Ching Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Shu-Ching Huang. A scholar is included among the top collaborators of Shu-Ching Huang 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 Shu-Ching Huang. Shu-Ching Huang 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.
Sullivan, Patrick F., Tengfei Li, Bingxin Zhao, et al.. (2025). The X chromosome’s influences on the human brain. Science Advances. 11(4). eadq5360–eadq5360. 2 indexed citations
2.
Ho, C.J., Shu-Ching Huang, & Chi-Ming Lai. (2022). Enhancing laminar forced convection heat transfer by using Al2O3/PCM nanofluids in a concentric double-tube duct. Case Studies in Thermal Engineering. 35. 102147–102147. 12 indexed citations
3.
Huang, Shu-Ching, et al.. (2021). Multifunctional protein 4.1R regulates the asymmetric segregation of Numb during terminal erythroid maturation. Journal of Biological Chemistry. 297(3). 101051–101051. 6 indexed citations
4.
Huang, Shu-Ching, et al.. (2019). Epithelial-specific isoforms of protein 4.1R promote adherens junction assembly in maturing epithelia. Journal of Biological Chemistry. 295(1). 191–211. 5 indexed citations
5.
Huang, Shu-Ching, Brian Yu, Ellen McMahon, et al.. (2017). Protein 4.1R Exon 16 3′ Splice Site Activation Requires Coordination among TIA1, Pcbp1, and RBM39 during Terminal Erythropoiesis. Molecular and Cellular Biology. 37(9). 21 indexed citations
6.
Huang, Shu-Ching, et al.. (2016). Protein 4.1R Influences Myogenin Protein Stability and Skeletal Muscle Differentiation. Journal of Biological Chemistry. 291(49). 25591–25607. 10 indexed citations
7.
Huang, Shu-Ching, Alexander Ou, Faye Yu, et al.. (2011). RBFOX2 Promotes Protein 4.1R Exon 16 Selection via U1 snRNP Recruitment. Molecular and Cellular Biology. 32(2). 513–526. 30 indexed citations
8.
Zhou, Anyu, et al.. (2008). Novel Splicing Factor RBM25 Modulates Bcl-x Pre-mRNA 5′ Splice Site Selection. Molecular and Cellular Biology. 28(19). 5924–5936. 108 indexed citations
9.
Yang, Guang, Shu-Ching Huang, Jane Y. Wu, & Edward J. Benz. (2007). Regulated Fox-2 isoform expression mediates protein 4.1R splicing during erythroid differentiation. Blood. 111(1). 392–401. 33 indexed citations
10.
Yang, Guang, Shu-Ching Huang, & Edward J. Benz. (2005). A Novel Splicing Factor RBM-9 Regulates Protein 4.1R Exon 16 Splicing.. Blood. 106(11). 805–805. 1 indexed citations
11.
Kontrogianni‐Konstantopoulos, Aikaterini, Carole S. Frye, Edward J. Benz, & Shu-Ching Huang. (2001). The Prototypical 4.1R-10-kDa Domain and the 4.1G-10-kDa Paralog Mediate Fodrin-Actin Complex Formation. Journal of Biological Chemistry. 276(23). 20679–20687. 32 indexed citations
12.
Kontrogianni‐Konstantopoulos, Aikaterini, Shu-Ching Huang, & Edward J. Benz. (2000). A Nonerythroid Isoform of Protein 4.1R Interacts with Components of the Contractile Apparatus in Skeletal Myofibers. Molecular Biology of the Cell. 11(11). 3805–3817. 40 indexed citations
13.
Mattagajasingh, Subhendra N., et al.. (2000). Characterization of the Interaction between Protein 4.1R and ZO-2. Journal of Biological Chemistry. 275(39). 30573–30585. 122 indexed citations
14.
Mattagajasingh, Subhendra N., et al.. (1999). A Nonerythroid Isoform of Protein 4.1R Interacts with the Nuclear Mitotic Apparatus (NuMA) Protein. The Journal of Cell Biology. 145(1). 29–43. 113 indexed citations
15.
Huang, Shu-Ching, et al.. (1995). Laparoscopic para‐aortic lymph node sampling in the staging of invasive cervical carcinoma: including a comparative study of 21 laparotomy cases. International Journal of Gynecology & Obstetrics. 49(3). 311–318. 18 indexed citations
16.
Panagiotidis, Christos Α., Shu-Ching Huang, & E.S. Canellakis. (1995). Relationship of the expression of the S20 and L34 ribosomal proteins to polyamine biosynthesis in Escherichia coli. The International Journal of Biochemistry & Cell Biology. 27(2). 157–168. 23 indexed citations
17.
Arditi, Moshe, et al.. (1994). Bactericidal/permeability-increasing protein protects vascular endothelial cells from lipopolysaccharide-induced activation and injury. Infection and Immunity. 62(9). 3930–3936. 25 indexed citations
18.
19.
Huang, Shu-Ching, et al.. (1990). Purification and characterization of Saccharomyces cerevisiae uridine monophosphate kinase.. Journal of Biological Chemistry. 265(31). 19122–19127. 8 indexed citations
20.
Koziel, Michael G., et al.. (1985). The nucleotide sequence of tobacco rattle virus RNA-2 (CAM strain). Nucleic Acids Research. 13(23). 8507–8518. 56 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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