Danish Sayed

3.9k total citations · 2 hit papers
26 papers, 3.2k citations indexed

About

Danish Sayed is a scholar working on Molecular Biology, Cancer Research and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Danish Sayed has authored 26 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 13 papers in Cancer Research and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Danish Sayed's work include MicroRNA in disease regulation (11 papers), RNA Research and Splicing (9 papers) and RNA modifications and cancer (5 papers). Danish Sayed is often cited by papers focused on MicroRNA in disease regulation (11 papers), RNA Research and Splicing (9 papers) and RNA modifications and cancer (5 papers). Danish Sayed collaborates with scholars based in United States, Taiwan and Italy. Danish Sayed's co-authors include Maha Abdellatif, Chull Hong, Jacqueline Lypowy, Minzhen He, Shweta Rane, Dorothy E. Vatner, Himanshu Vashistha, Ashwani Malhotra, Junichi Sadoshima and Zhi Yang and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Journal of Clinical Investigation.

In The Last Decade

Danish Sayed

25 papers receiving 3.1k citations

Hit Papers

MicroRNAs in Development and Disease 2007 2026 2013 2019 2011 2007 250 500 750

Peers

Danish Sayed
Da‐Zhi Wang United States
Amar J. Majmundar United States
Carmen C. Sucharov United States
Danish Sayed
Citations per year, relative to Danish Sayed Danish Sayed (= 1×) peers Zhan‐Peng Huang

Countries citing papers authored by Danish Sayed

Since Specialization
Citations

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

Fields of papers citing papers by Danish Sayed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danish Sayed. 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 Danish Sayed. The network helps show where Danish Sayed may publish in the future.

Co-authorship network of co-authors of Danish Sayed

This figure shows the co-authorship network connecting the top 25 collaborators of Danish Sayed. A scholar is included among the top collaborators of Danish Sayed 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 Danish Sayed. Danish Sayed 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.
Manhas, Amit, Yu Liu, Chikage Noishiki, et al.. (2025). Multiscale profiling of tyrosine kinase inhibitor cardiotoxicity reveals mechanosensitive ion channel PIEZO1 as cardioprotective. Science Translational Medicine. 17(829). eadv9403–eadv9403.
2.
Alikunju, Saleena, et al.. (2023). Klf9 plays a critical role in GR –dependent metabolic adaptations in cardiomyocytes. Cellular Signalling. 111. 110886–110886. 5 indexed citations
3.
Yang, Zhi, et al.. (2023). Reducing branched-chain amino acids improves cardiac stress response in mice by decreasing histone H3K23 propionylation. Journal of Clinical Investigation. 133(22). 18 indexed citations
4.
Liu, Chun, Pedro P. Medina, Dilip Thomas, et al.. (2021). A protocol for transdifferentiation of human cardiac fibroblasts into endothelial cells via activation of innate immunity. STAR Protocols. 2(2). 100556–100556. 2 indexed citations
5.
Liu, Chun, Farhan Himmati, Mingtao Zhao, et al.. (2020). HIF1α Regulates Early Metabolic Changes due to Activation of Innate Immunity in Nuclear Reprogramming. Stem Cell Reports. 14(2). 192–200. 11 indexed citations
6.
Alikunju, Saleena, Elena Severinova, Zhi Yang, Andreas Ivessa, & Danish Sayed. (2020). Acute NelfA knockdown restricts compensatory gene expression and precipitates ventricular dysfunction during cardiac hypertrophy. Journal of Molecular and Cellular Cardiology. 142. 93–104. 1 indexed citations
7.
Pfleger, Jessica, Yong Heui Jeon, Zhi Yang, et al.. (2019). Oxoglutarate dehydrogenase and acetyl-CoA acyltransferase 2 selectively associate with H2A.Z-occupied promoters and are required for histone modifications. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1862(10). 194436–194436. 13 indexed citations
8.
Shin, Hye‐Won, Minzhen He, Zhi Yang, et al.. (2018). Transcriptional regulation mediated by H2A.Z via ANP32e-dependent inhibition of protein phosphatase 2A. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1861(5). 481–496. 11 indexed citations
9.
He, Minzhen, Zhi Yang, Maha Abdellatif, & Danish Sayed. (2015). GTPase Activating Protein (Sh3 Domain) Binding Protein 1 Regulates the Processing of MicroRNA-1 during Cardiac Hypertrophy. PLoS ONE. 10(12). e0145112–e0145112. 25 indexed citations
10.
Sayed, Danish, Zhi Yang, Minzhen He, Jessica Pfleger, & Maha Abdellatif. (2014). Acute Targeting of General Transcription Factor IIB Restricts Cardiac Hypertrophy via Selective Inhibition of Gene Transcription. Circulation Heart Failure. 8(1). 138–148. 21 indexed citations
11.
Sayed, Danish, Minzhen He, Zhi Yang, Lin Lin, & Maha Abdellatif. (2012). Transcriptional Regulation Patterns Revealed by High Resolution Chromatin Immunoprecipitation during Cardiac Hypertrophy. Journal of Biological Chemistry. 288(4). 2546–2558. 37 indexed citations
12.
Yang, Zhi, Danish Sayed, Minzhen He, et al.. (2012). GATA4 expression is primarily regulated via a miR-26b-dependent post-transcriptional mechanism during cardiac hypertrophy. Cardiovascular Research. 93(4). 645–654. 70 indexed citations
13.
Sayed, Danish & Maha Abdellatif. (2010). AKT-ing via microRNA. Cell Cycle. 9(16). 3233–3237. 48 indexed citations
14.
Rane, Shweta, Minzhen He, Danish Sayed, et al.. (2010). An antagonism between the AKT and beta-adrenergic signaling pathways mediated through their reciprocal effects on miR-199a-5p. Cellular Signalling. 22(7). 1054–1062. 68 indexed citations
15.
Sayed, Danish, Minzhen He, Chull Hong, et al.. (2010). MicroRNA-21 Is a Downstream Effector of AKT That Mediates Its Antiapoptotic Effects via Suppression of Fas Ligand. Journal of Biological Chemistry. 285(26). 20281–20290. 269 indexed citations
16.
Sayed, Danish, et al.. (2009). Abstract 3010: MiRNA-26 Plays Essential Role in Myocyte Survival and Hypertrophy by Regulating GATA4. Circulation. 120. 2 indexed citations
17.
Rane, Shweta, Minzhen He, Danish Sayed, et al.. (2009). Downregulation of MiR-199a Derepresses Hypoxia-Inducible Factor-1α and Sirtuin 1 and Recapitulates Hypoxia Preconditioning in Cardiac Myocytes. Circulation Research. 104(7). 879–886. 482 indexed citations
18.
Sayed, Danish, Shweta Rane, & Maha Abdellatif. (2008). MicroRNAs Challenge the Status Quo of Therapeutic Targeting. Journal of Cardiovascular Translational Research. 2(1). 100–107. 6 indexed citations
19.
Sayed, Danish, Shweta Rane, Jacqueline Lypowy, et al.. (2008). MicroRNA-21 Targets Sprouty2 and Promotes Cellular Outgrowths. Molecular Biology of the Cell. 19(8). 3272–3282. 284 indexed citations
20.
Lypowy, Jacqueline, Jayashree Pain, Danish Sayed, et al.. (2006). Histone H2A.z Is Essential for Cardiac Myocyte Hypertrophy but Opposed by Silent Information Regulator 2α. Journal of Biological Chemistry. 281(28). 19369–19377. 81 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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