Sirisha Cheedipudi

1.2k total citations
24 papers, 809 citations indexed

About

Sirisha Cheedipudi is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Genetics. According to data from OpenAlex, Sirisha Cheedipudi has authored 24 papers receiving a total of 809 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Cardiology and Cardiovascular Medicine and 3 papers in Genetics. Recurrent topics in Sirisha Cheedipudi's work include Genomics and Chromatin Dynamics (8 papers), Cardiovascular Effects of Exercise (6 papers) and Muscle Physiology and Disorders (5 papers). Sirisha Cheedipudi is often cited by papers focused on Genomics and Chromatin Dynamics (8 papers), Cardiovascular Effects of Exercise (6 papers) and Muscle Physiology and Disorders (5 papers). Sirisha Cheedipudi collaborates with scholars based in United States, India and China. Sirisha Cheedipudi's co-authors include Jyotsna Dhawan, Ali J. Marian, Priyatansh Gurha, Gergana Dobreva, Grace K. Pavlath, Ramkumar Sambasivan, Prethish Sreenivas, Leila Rouhi, Siyang Fan and Cristian Coarfa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Circulation.

In The Last Decade

Sirisha Cheedipudi

24 papers receiving 807 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sirisha Cheedipudi United States 17 597 166 86 68 63 24 809
Gaynor Miller United Kingdom 15 380 0.6× 162 1.0× 77 0.9× 86 1.3× 42 0.7× 20 700
Yanfeng Kong United States 8 589 1.0× 211 1.3× 78 0.9× 116 1.7× 42 0.7× 10 717
Victoria C. Garside Canada 11 455 0.8× 76 0.5× 73 0.8× 85 1.3× 86 1.4× 15 614
Nicolas Sylvius United Kingdom 16 522 0.9× 265 1.6× 45 0.5× 67 1.0× 111 1.8× 30 796
Heidi Auman United States 10 470 0.8× 77 0.5× 65 0.8× 92 1.4× 65 1.0× 14 655
Noboru J. Sakabe United States 18 1.0k 1.7× 131 0.8× 204 2.4× 33 0.5× 148 2.3× 27 1.3k
Shilpa Rao United States 7 351 0.6× 40 0.2× 54 0.6× 60 0.9× 97 1.5× 12 549
Ieharu Yamazaki Japan 10 342 0.6× 51 0.3× 79 0.9× 101 1.5× 63 1.0× 22 772
Weihua Zeng United States 16 957 1.6× 42 0.3× 106 1.2× 64 0.9× 105 1.7× 26 1.1k
Jason Lowry United States 12 615 1.0× 45 0.3× 136 1.6× 35 0.5× 68 1.1× 17 842

Countries citing papers authored by Sirisha Cheedipudi

Since Specialization
Citations

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

Fields of papers citing papers by Sirisha Cheedipudi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sirisha Cheedipudi

This figure shows the co-authorship network connecting the top 25 collaborators of Sirisha Cheedipudi. A scholar is included among the top collaborators of Sirisha Cheedipudi 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 Sirisha Cheedipudi. Sirisha Cheedipudi 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
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Olcum, Melis, Siyang Fan, Leila Rouhi, et al.. (2023). Genetic inactivation of β-catenin is salubrious, whereas its activation is deleterious in desmoplakin cardiomyopathy. Cardiovascular Research. 119(17). 2712–2728. 9 indexed citations
3.
Rouhi, Leila, et al.. (2023). Cytosolic DNA sensing protein pathway is activated in human hearts with dilated cardiomyopathy. PubMed. 3(3). 10 indexed citations
4.
Cheedipudi, Sirisha, et al.. (2022). Genetic Ablation of the DNA Damage Response Pathway Attenuates Lamin-Associated Dilated Cardiomyopathy in Mice. JACC Basic to Translational Science. 7(12). 1232–1245. 24 indexed citations
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Rouhi, Leila, Siyang Fan, Sirisha Cheedipudi, et al.. (2022). Effects of tamoxifen inducible MerCreMer on gene expression in cardiac myocytes in mice. PubMed. 2. 14 indexed citations
8.
Cheedipudi, Sirisha, Siyang Fan, Leila Rouhi, & Ali J. Marian. (2021). Pharmacological suppression of the WNT signaling pathway attenuates age-dependent expression of the phenotype in a mouse model of arrhythmogenic cardiomyopathy. PubMed. 1(3). 6 indexed citations
9.
Rouhi, Leila, Siyang Fan, Sirisha Cheedipudi, et al.. (2021). The EP300/TP53 pathway, a suppressor of the Hippo and canonical WNT pathways, is activated in human hearts with arrhythmogenic cardiomyopathy in the absence of overt heart failure. Cardiovascular Research. 118(6). 1466–1478. 32 indexed citations
10.
Cheedipudi, Sirisha, Scot J. Matkovich, Cristian Coarfa, et al.. (2019). Genomic Reorganization of Lamin-Associated Domains in Cardiac Myocytes Is Associated With Differential Gene Expression and DNA Methylation in Human Dilated Cardiomyopathy. Circulation Research. 124(8). 1198–1213. 80 indexed citations
11.
Gao, Rui, Xingqun Liang, Sirisha Cheedipudi, et al.. (2019). Pioneering function of Isl1 in the epigenetic control of cardiomyocyte cell fate. Cell Research. 29(6). 486–501. 74 indexed citations
12.
Witzel, Hagen Roland, Sirisha Cheedipudi, Rui Gao, Didier Y. R. Stainier, & Gergana Dobreva. (2017). Isl2b regulates anterior second heart field development in zebrafish. Scientific Reports. 7(1). 41043–41043. 27 indexed citations
13.
Caputo, Luca, Hagen Roland Witzel, Petros Kolovos, et al.. (2015). The Isl1/Ldb1 Complex Orchestrates Genome-wide Chromatin Organization to Instruct Differentiation of Multipotent Cardiac Progenitors. Cell stem cell. 17(3). 287–299. 65 indexed citations
14.
Cheedipudi, Sirisha, Hardik Gala, Deepika Puri, & Jyotsna Dhawan. (2015). Identification of PRDM2 regulated genes in quiescent C2C12 myoblasts. Genomics Data. 6. 264–266. 3 indexed citations
15.
Cheedipudi, Sirisha, Deepika Puri, Hardik Gala, et al.. (2015). A fine balance: epigenetic control of cellular quiescence by the tumor suppressor PRDM2/RIZ at a bivalent domain in the cyclin a gene. Nucleic Acids Research. 43(13). 6236–6256. 33 indexed citations
16.
Cheedipudi, Sirisha, et al.. (2014). Epigenetic inheritance of cell fates during embryonic development. Frontiers in Genetics. 5. 19–19. 40 indexed citations
17.
Sreenivas, Prethish, et al.. (2013). Distinct Transcriptional Networks in Quiescent Myoblasts: A Role for Wnt Signaling in Reversible vs. Irreversible Arrest. PLoS ONE. 8(6). e65097–e65097. 34 indexed citations
18.
Cheedipudi, Sirisha, et al.. (2013). A Novel In Vitro Model for Studying Quiescence and Activation of Primary Isolated Human Myoblasts. PLoS ONE. 8(5). e64067–e64067. 21 indexed citations
19.
Krishna, Srikar, et al.. (2012). Deep sequencing reveals unique small RNA repertoire that is regulated during head regeneration in Hydra magnipapillata. Nucleic Acids Research. 41(1). 599–616. 43 indexed citations
20.
Sambasivan, Ramkumar, et al.. (2009). The small chromatin-binding protein p8 coordinates the association of anti-proliferative and pro-myogenic proteins at the myogenin promoter. Journal of Cell Science. 122(19). 3481–3491. 41 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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