Sonal S. Sheth

1.0k total citations
10 papers, 683 citations indexed

About

Sonal S. Sheth is a scholar working on Molecular Biology, Physiology and Surgery. According to data from OpenAlex, Sonal S. Sheth has authored 10 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Physiology and 2 papers in Surgery. Recurrent topics in Sonal S. Sheth's work include Adipose Tissue and Metabolism (3 papers), Cholesterol and Lipid Metabolism (2 papers) and Hearing, Cochlea, Tinnitus, Genetics (2 papers). Sonal S. Sheth is often cited by papers focused on Adipose Tissue and Metabolism (3 papers), Cholesterol and Lipid Metabolism (2 papers) and Hearing, Cochlea, Tinnitus, Genetics (2 papers). Sonal S. Sheth collaborates with scholars based in United States, Netherlands and Poland. Sonal S. Sheth's co-authors include Aldons J. Lusis, Jackie Bodnar, Peter Démant, Alan Attie, Anatole Ghazalpour, Lawrence W. Castellani, To Y. Hui, Roger J. Davis, Douglas W. Potter and Jeffrey D. Ohmen and has published in prestigious journals such as Journal of Biological Chemistry, Nature Genetics and Oncogene.

In The Last Decade

Sonal S. Sheth

10 papers receiving 676 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sonal S. Sheth United States 9 520 160 130 78 76 10 683
Joseph Rapley United States 9 661 1.3× 256 1.6× 74 0.6× 153 2.0× 50 0.7× 9 884
Myung Kuk Joe South Korea 14 489 0.9× 239 1.5× 94 0.7× 36 0.5× 56 0.7× 22 764
Shiu‐Ying Ho United States 10 248 0.5× 181 1.1× 46 0.4× 46 0.6× 57 0.8× 11 456
Michael C. Kacergis United States 8 616 1.2× 235 1.5× 106 0.8× 103 1.3× 115 1.5× 8 891
Andrew Kuo United States 14 411 0.8× 150 0.9× 95 0.7× 86 1.1× 64 0.8× 22 669
Anika V. Prabhu Australia 10 444 0.9× 76 0.5× 67 0.5× 121 1.6× 140 1.8× 13 732
T A Diggle United Kingdom 14 627 1.2× 113 0.7× 87 0.7× 27 0.3× 113 1.5× 22 770
Britta Jenke Germany 8 315 0.6× 84 0.5× 109 0.8× 70 0.9× 68 0.9× 9 559
Jin Sook Lee South Korea 14 323 0.6× 119 0.7× 84 0.6× 25 0.3× 76 1.0× 41 623
Niels Gregersen Denmark 14 630 1.2× 55 0.3× 176 1.4× 36 0.5× 54 0.7× 28 935

Countries citing papers authored by Sonal S. Sheth

Since Specialization
Citations

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

Fields of papers citing papers by Sonal S. Sheth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sonal S. Sheth. 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 Sonal S. Sheth. The network helps show where Sonal S. Sheth may publish in the future.

Co-authorship network of co-authors of Sonal S. Sheth

This figure shows the co-authorship network connecting the top 25 collaborators of Sonal S. Sheth. A scholar is included among the top collaborators of Sonal S. Sheth 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 Sonal S. Sheth. Sonal S. Sheth 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.
White, Cory, Jeffrey D. Ohmen, Sonal S. Sheth, et al.. (2009). Genome-wide screening for genetic loci associated with noise-induced hearing loss. Mammalian Genome. 20(4). 207–213. 25 indexed citations
2.
Sheth, Sonal S., Jackie Bodnar, Anatole Ghazalpour, et al.. (2006). Hepatocellular carcinoma in Txnip-deficient mice. Oncogene. 25(25). 3528–3536. 126 indexed citations
3.
Sheth, Sonal S., et al.. (2006). Identification of two major loci that suppress hearing loss and cochlear dysmorphogenesis in Eya1bor/bor mice. Genomics. 88(3). 302–308. 8 indexed citations
4.
Ghazalpour, Anatole, Sudheer Doss, Sonal S. Sheth, et al.. (2005). Genomic analysis of metabolic pathway gene expression in mice. Genome biology. 6(7). R59–R59. 67 indexed citations
5.
Parks, Elizabeth J., et al.. (2004). Increased Lipogenesis and Fatty Acid Reesterification Contribute to Hepatic Triacylglycerol Stores in Hyperlipidemic Txnip−/− Mice. Journal of Nutrition. 134(6). 1475–1480. 49 indexed citations
6.
Sheth, Sonal S., Lawrence W. Castellani, Cory S. Wagg, et al.. (2004). Thioredoxin-interacting protein deficiency disrupts the fasting-feeding metabolic transition. Journal of Lipid Research. 46(1). 123–134. 89 indexed citations
7.
Hui, To Y., Sonal S. Sheth, Douglas W. Potter, et al.. (2004). Mice Lacking Thioredoxin-interacting Protein Provide Evidence Linking Cellular Redox State to Appropriate Response to Nutritional Signals. Journal of Biological Chemistry. 279(23). 24387–24393. 113 indexed citations
8.
Sheth, Sonal S., et al.. (2002). Understanding atherosclerosis through mouse genetics. Current Opinion in Lipidology. 13(2). 181–189. 6 indexed citations
9.
Bodnar, Jackie, Riitta Sallinen, Lawrence W. Castellani, et al.. (2001). Fine mapping of Hyplip1 and the human homolog, a potential locus for FCHL. Mammalian Genome. 12(3). 238–245. 15 indexed citations
10.
Bodnar, Jackie, Aurobindo Chatterjee, Lawrence W. Castellani, et al.. (2001). Positional cloning of the combined hyperlipidemia gene Hyplip1. Nature Genetics. 30(1). 110–116. 185 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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