Yan‐Shan Dai

3.2k total citations · 1 hit paper
37 papers, 2.6k citations indexed

About

Yan‐Shan Dai is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Genetics. According to data from OpenAlex, Yan‐Shan Dai has authored 37 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 8 papers in Cardiology and Cardiovascular Medicine and 8 papers in Genetics. Recurrent topics in Yan‐Shan Dai's work include Signaling Pathways in Disease (10 papers), Cardiac Fibrosis and Remodeling (7 papers) and Virus-based gene therapy research (5 papers). Yan‐Shan Dai is often cited by papers focused on Signaling Pathways in Disease (10 papers), Cardiac Fibrosis and Remodeling (7 papers) and Virus-based gene therapy research (5 papers). Yan‐Shan Dai collaborates with scholars based in United States, China and Germany. Yan‐Shan Dai's co-authors include Jeffery D. Molkentin, Orlando F. Bueno, Benjamin J. Wilkins, Bruce E. Markham, Stephanie A. Parsons, Jian Xu, Qiangrong Liang, Peter Cserjesi, Thomas R. Kimball and David M. Plank and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Journal of Clinical Investigation.

In The Last Decade

Yan‐Shan Dai

35 papers receiving 2.6k citations

Hit Papers

Calcineurin/NFAT Coupling Participates in Pathological, b... 2003 2026 2010 2018 2003 200 400 600

Peers

Yan‐Shan Dai
Dongtak Jeong United States
Melissa C. Colbert United States
Yee Sook Cho South Korea
Allen J. York United States
Chulan Kwon United States
Hind Lal United States
Maria Nesterova United States
Richard A. Shimkets United States
Dongtak Jeong United States
Yan‐Shan Dai
Citations per year, relative to Yan‐Shan Dai Yan‐Shan Dai (= 1×) peers Dongtak Jeong

Countries citing papers authored by Yan‐Shan Dai

Since Specialization
Citations

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

Fields of papers citing papers by Yan‐Shan Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yan‐Shan Dai. 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 Yan‐Shan Dai. The network helps show where Yan‐Shan Dai may publish in the future.

Co-authorship network of co-authors of Yan‐Shan Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Yan‐Shan Dai. A scholar is included among the top collaborators of Yan‐Shan Dai 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 Yan‐Shan Dai. Yan‐Shan Dai 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.
Liu, Mengping, Edwin H. Cook, Yan‐Shan Dai, et al.. (2025). Systemic delivery of AAV5, AAV8, and AAV9 packaging a C5-12-microdystrophin-FLAG expression cassette in non-human primates. Molecular Therapy — Methods & Clinical Development. 33(1). 101411–101411. 1 indexed citations
2.
Dai, Yan‐Shan, et al.. (2024). Monitoring antigen-specific cellular immune response using an RT-ddPCR-based assay for IFN-γ gene expression. Journal of Pharmaceutical Sciences. 114(2). 1017–1023.
4.
Dai, Yan‐Shan, Huijin Dong, Carol Gleason, et al.. (2023). Comparison of Pre-existing Anti-AAV8 Total Antibody Screening and Confirmatory Assays with a Cell-Based Neutralizing Assay in Normal Human Serum. The AAPS Journal. 25(3). 35–35. 9 indexed citations
5.
Masilamani, Madhan, Vibha Jawa, Yan‐Shan Dai, et al.. (2023). Bioanalytical Methods for Characterization of CAR‐T Cellular Kinetics: Comparison of PCR Assays and Matrices. Clinical Pharmacology & Therapeutics. 114(3). 664–672. 6 indexed citations
6.
Dai, Yan‐Shan, Uma Kavita, Margit H. Lampen, et al.. (2021). Prevalence of Pre-Existing Neutralizing Antibodies Against Adeno-Associated Virus Serotypes 1, 2, 5, 6, 8, and 9 in Sera of Different Pig Strains. Human Gene Therapy. 33(7-8). 451–459. 10 indexed citations
7.
Zhao, Qian, et al.. (2020). SPARC promotes insulin secretion through down-regulation of RGS4 protein in pancreatic β cells. Scientific Reports. 10(1). 17581–17581. 19 indexed citations
8.
Kavita, Uma, Yan‐Shan Dai, Lisa Salvador, et al.. (2018). Development of a Chemiluminescent ELISA Method for the Detection of Total Anti-Adeno Associated Virus Serotype 9 (AAV9) Antibodies. Human Gene Therapy Methods. 29(6). 237–250. 18 indexed citations
9.
Hu, Li, et al.. (2018). NFATc3 deficiency reduces the classical activation of adipose tissue macrophages. Journal of Molecular Endocrinology. 61(3). 79–89. 17 indexed citations
10.
Luo, Yan, Luo Hai, Zhipeng Xu, et al.. (2014). Transcription Factor Ets1 Regulates Expression of Thioredoxin-Interacting Protein and Inhibits Insulin Secretion in Pancreatic β-Cells. PLoS ONE. 9(6). e99049–e99049. 16 indexed citations
11.
Kim, Yong, Amit Deshpande, Yan‐Shan Dai, et al.. (2009). Cyclin-dependent Kinase 2-associating Protein 1 Commits Murine Embryonic Stem Cell Differentiation through Retinoblastoma Protein Regulation. Journal of Biological Chemistry. 284(35). 23405–23414. 18 indexed citations
12.
Socha, Matthew J., Neveen Said, Yan‐Shan Dai, et al.. (2009). Aberrant Promoter Methylation of Sparc in Ovarian Cancer. Neoplasia. 11(2). 126–IN1. 79 indexed citations
13.
Deshpande, Amit, Yan‐Shan Dai, Yong Kim, et al.. (2009). Cdk2ap1 Is Required for Epigenetic Silencing of Oct4 during Murine Embryonic Stem Cell Differentiation. Journal of Biological Chemistry. 284(10). 6043–6047. 32 indexed citations
14.
Dai, Ying, Muhammad Ashraf, Ryota Uemura, et al.. (2008). Mobilized bone marrow progenitor cells serve as donors of cytoprotective genes for cardiac repair. Journal of Molecular and Cellular Cardiology. 44(3). 607–617. 36 indexed citations
15.
Morikawa, Yuka, et al.. (2005). The basic helix‐loop‐helix factor Hand2 regulates autonomic nervous system development. Developmental Dynamics. 234(3). 613–621. 26 indexed citations
16.
Braz, Julian C., Orlando F. Bueno, Qiangrong Liang, et al.. (2003). Targeted inhibition of p38 MAPK promotes hypertrophic cardiomyopathy through upregulation of calcineurin-NFAT signaling. Journal of Clinical Investigation. 111(10). 1475–1486. 262 indexed citations
17.
Dai, Yan‐Shan, Peter Cserjesi, Bruce E. Markham, & Jeffery D. Molkentin. (2002). The Transcription Factors GATA4 and dHAND Physically Interact to Synergistically Activate Cardiac Gene Expression through a p300-dependent Mechanism. Journal of Biological Chemistry. 277(27). 24390–24398. 150 indexed citations
18.
Liang, Qiangrong, Russell J. Wiese, Orlando F. Bueno, et al.. (2001). The Transcription Factor GATA4 Is Activated by Extracellular Signal-Regulated Kinase 1- and 2-Mediated Phosphorylation of Serine 105 in Cardiomyocytes. Molecular and Cellular Biology. 21(21). 7460–7469. 221 indexed citations
19.
Dai, Yan‐Shan & Bruce E. Markham. (2001). p300 Functions as a Coactivator of Transcription Factor GATA-4. Journal of Biological Chemistry. 276(40). 37178–37185. 129 indexed citations
20.
Ambudkar, Indu S., Valerie J. Horn, Yan‐Shan Dai, & Bruce J. Baum. (1990). Evidence against a role for a pertussis toxin-sensitive G protein in Ca2+ mobilization in rat parotid acinar cells. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1055(3). 259–264. 14 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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