Aarathi Sugathan

1.1k total citations
7 papers, 761 citations indexed

About

Aarathi Sugathan is a scholar working on Genetics, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Aarathi Sugathan has authored 7 papers receiving a total of 761 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 4 papers in Molecular Biology and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Aarathi Sugathan's work include Genomics and Chromatin Dynamics (3 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers) and Genetics and Neurodevelopmental Disorders (2 papers). Aarathi Sugathan is often cited by papers focused on Genomics and Chromatin Dynamics (3 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers) and Genetics and Neurodevelopmental Disorders (2 papers). Aarathi Sugathan collaborates with scholars based in United States, Germany and Canada. Aarathi Sugathan's co-authors include David J. Waxman, Alan A. Dombkowski, Yijing Zhang, Kathrin Klein, Ulrich M. Zanger, Najlla Nassery, Ian Blumenthal, James F. Gusella, Ashok Ragavendran and Serkan Erdin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Molecular and Cellular Biology.

In The Last Decade

Aarathi Sugathan

7 papers receiving 752 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aarathi Sugathan United States 7 456 350 132 131 72 7 761
Camila Scorticati Argentina 14 222 0.5× 131 0.4× 46 0.3× 92 0.7× 25 0.3× 28 709
S D Detera-Wadleigh United States 12 289 0.6× 250 0.7× 21 0.2× 266 2.0× 28 0.4× 19 777
Carol Guy United Kingdom 16 522 1.1× 257 0.7× 24 0.2× 38 0.3× 24 0.3× 25 910
Yinhua Zhang South Korea 17 389 0.9× 247 0.7× 68 0.5× 19 0.1× 66 0.9× 52 700
Carolyn Tysoe United Kingdom 13 264 0.6× 190 0.5× 62 0.5× 63 0.5× 22 0.3× 23 586
Aki Harada United States 10 393 0.9× 160 0.5× 18 0.1× 83 0.6× 30 0.4× 11 566
Ángeles García‐Cazorla Spain 16 550 1.2× 204 0.6× 25 0.2× 53 0.4× 32 0.4× 37 1.1k
Naı̈ma Ismaı̈li United States 9 335 0.7× 121 0.3× 13 0.1× 122 0.9× 116 1.6× 13 758
Leah Peleg Israel 14 270 0.6× 181 0.5× 70 0.5× 13 0.1× 62 0.9× 55 697
Mary K. Graves United States 6 522 1.1× 254 0.7× 23 0.2× 104 0.8× 35 0.5× 7 871

Countries citing papers authored by Aarathi Sugathan

Since Specialization
Citations

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

Fields of papers citing papers by Aarathi Sugathan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aarathi Sugathan

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

All Works

7 of 7 papers shown
1.
Blumenthal, Ian, Ashok Ragavendran, Serkan Erdin, et al.. (2014). Transcriptional Consequences of 16p11.2 Deletion and Duplication in Mouse Cortex and Multiplex Autism Families. The American Journal of Human Genetics. 94(6). 870–883. 88 indexed citations
2.
Sugathan, Aarathi, Marta Biagioli, Christelle Golzio, et al.. (2014). CHD8 regulates neurodevelopmental pathways associated with autism spectrum disorder in neural progenitors. Proceedings of the National Academy of Sciences. 111(42). E4468–77. 227 indexed citations
3.
Sugathan, Aarathi & David J. Waxman. (2013). Genome-Wide Analysis of Chromatin States Reveals Distinct Mechanisms of Sex-Dependent Gene Regulation in Male and Female Mouse Liver. Molecular and Cellular Biology. 33(18). 3594–3610. 110 indexed citations
4.
Zhang, Yijing, Kathrin Klein, Aarathi Sugathan, et al.. (2011). Transcriptional Profiling of Human Liver Identifies Sex-Biased Genes Associated with Polygenic Dyslipidemia and Coronary Artery Disease. PLoS ONE. 6(8). e23506–e23506. 138 indexed citations
5.
Sugathan, Aarathi, et al.. (2010). Intrinsic Sex Differences in the Early Growth Hormone Responsiveness of Sex-Specific Genes in Mouse Liver. Molecular Endocrinology. 24(3). 667–678. 77 indexed citations
6.
Ling, Guoyu, Aarathi Sugathan, Tali Mazor, Ernest Fraenkel, & David J. Waxman. (2010). Unbiased, Genome-Wide In Vivo Mapping of Transcriptional Regulatory Elements Reveals Sex Differences in Chromatin Structure Associated with Sex-Specific Liver Gene Expression. Molecular and Cellular Biology. 30(23). 5531–5544. 82 indexed citations
7.
Laz, Ekaterina V., Aarathi Sugathan, & David J. Waxman. (2009). Dynamic in Vivo Binding of STAT5 to Growth Hormone-Regulated Genes in Intact Rat Liver. Sex-Specific Binding at Low- But Not High-Affinity STAT5 Sites. Molecular Endocrinology. 23(8). 1242–1254. 39 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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