Shang-Yi Chiu

756 total citations
10 papers, 592 citations indexed

About

Shang-Yi Chiu is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Shang-Yi Chiu has authored 10 papers receiving a total of 592 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Oncology. Recurrent topics in Shang-Yi Chiu's work include Congenital heart defects research (3 papers), Pluripotent Stem Cells Research (2 papers) and Immune Response and Inflammation (2 papers). Shang-Yi Chiu is often cited by papers focused on Congenital heart defects research (3 papers), Pluripotent Stem Cells Research (2 papers) and Immune Response and Inflammation (2 papers). Shang-Yi Chiu collaborates with scholars based in United States, Taiwan and France. Shang-Yi Chiu's co-authors include Guillaume Serin, Osamu Ohara, Lynne E. Maquat, Kevin P. O’Rourke, Neil J. Ganem, Fernando D. Camargo, David Pellman, Manuel Théry, Hauke Cornils and Dean Yimlamai and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Scientific Reports.

In The Last Decade

Shang-Yi Chiu

10 papers receiving 588 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shang-Yi Chiu United States 7 461 228 110 63 53 10 592
Sigi Benjamin Israel 9 366 0.8× 190 0.8× 92 0.8× 74 1.2× 24 0.5× 11 504
Onur Cizmecioglu Germany 10 484 1.0× 395 1.7× 161 1.5× 109 1.7× 34 0.6× 12 614
Christopher Bruhn Germany 10 411 0.9× 106 0.5× 190 1.7× 62 1.0× 62 1.2× 19 508
Ridhdhi Desai Canada 7 408 0.9× 192 0.8× 96 0.9× 34 0.5× 61 1.2× 9 524
J. Philippe York United States 11 415 0.9× 238 1.0× 85 0.8× 90 1.4× 55 1.0× 17 536
Daniel Stauffer United States 10 370 0.8× 149 0.7× 89 0.8× 133 2.1× 44 0.8× 10 539
Sihem Zitouni Portugal 5 447 1.0× 397 1.7× 127 1.2× 70 1.1× 34 0.6× 10 577
Fena Ochs Denmark 7 694 1.5× 99 0.4× 210 1.9× 79 1.3× 62 1.2× 8 736
Shreya Paliwal Switzerland 4 391 0.8× 93 0.4× 122 1.1× 35 0.6× 59 1.1× 5 420
Nancy Amin Australia 8 457 1.0× 366 1.6× 94 0.9× 49 0.8× 26 0.5× 10 636

Countries citing papers authored by Shang-Yi Chiu

Since Specialization
Citations

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

Fields of papers citing papers by Shang-Yi Chiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shang-Yi Chiu. 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 Shang-Yi Chiu. The network helps show where Shang-Yi Chiu may publish in the future.

Co-authorship network of co-authors of Shang-Yi Chiu

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

All Works

10 of 10 papers shown
1.
Hsu, Chia‐Chi, Shuyun Chen, Shang-Yi Chiu, et al.. (2022). High-density genetic map and genome-wide association studies of aesthetic traits in Phalaenopsis orchids. Scientific Reports. 12(1). 3346–3346. 9 indexed citations
2.
Huang, Chun-Fang, et al.. (2019). A reporter mouse for non-invasive detection of toll-like receptor ligands induced acute phase responses. Scientific Reports. 9(1). 19065–19065. 10 indexed citations
3.
Lin, Heng, et al.. (2016). Extraembryonic but not embryonic SUMO-specific protease 2 is required for heart development. Scientific Reports. 6(1). 20999–20999. 28 indexed citations
4.
Chen, Yuling, et al.. (2016). Early Detection of T cell Transfer-induced Autoimmune Colitis by In Vivo Imaging System. Scientific Reports. 6(1). 35635–35635. 6 indexed citations
5.
Fu, Jiang, Hongbo Yu, Shang-Yi Chiu, et al.. (2014). Disruption of SUMO-Specific Protease 2 Induces Mitochondria Mediated Neurodegeneration. PLoS Genetics. 10(10). e1004579–e1004579. 69 indexed citations
6.
Ganem, Neil J., Hauke Cornils, Shang-Yi Chiu, et al.. (2014). Cytokinesis Failure Triggers Hippo Tumor Suppressor Pathway Activation. Cell. 158(4). 833–848. 271 indexed citations
7.
Chiu, Shang-Yi, et al.. (2010). Derivation of Mouse Trophoblast Stem Cells from Blastocysts. Journal of Visualized Experiments. 5 indexed citations
8.
Chiu, Shang-Yi, et al.. (2010). Derivation of Mouse Trophoblast Stem Cells from Blastocysts. Journal of Visualized Experiments. 1 indexed citations
9.
Yu, Hsiao‐Man Ivy, Bo Liu, Shang-Yi Chiu, Frank Costantini, & Wei Hsu. (2005). Development of a unique system for spatiotemporal and lineage-specific gene expression in mice. Proceedings of the National Academy of Sciences. 102(24). 8615–8620. 62 indexed citations
10.
Chiu, Shang-Yi, Guillaume Serin, Osamu Ohara, & Lynne E. Maquat. (2003). Characterization of human Smg5/7a: A protein with similarities to Caenorhabditis elegans SMG5 and SMG7 that functions in the dephosphorylation of Upf1. RNA. 9(1). 77–87. 131 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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