Sonia Rawat

592 total citations · 1 hit paper
8 papers, 463 citations indexed

About

Sonia Rawat is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Sonia Rawat has authored 8 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Cardiology and Cardiovascular Medicine and 3 papers in Epidemiology. Recurrent topics in Sonia Rawat's work include Cardiovascular Function and Risk Factors (4 papers), Mitochondrial Function and Pathology (3 papers) and Adipose Tissue and Metabolism (3 papers). Sonia Rawat is often cited by papers focused on Cardiovascular Function and Risk Factors (4 papers), Mitochondrial Function and Pathology (3 papers) and Adipose Tissue and Metabolism (3 papers). Sonia Rawat collaborates with scholars based in Canada, Japan and India. Sonia Rawat's co-authors include Gary D. Lopaschuk, Cory S. Wagg, Liyan Zhang, Hwee Teoh, Golam M. Uddin, Kim L. Ho, Eric Mayoux, Gavin Y. Oudit, Subodh Verma and Nikolaus Marx and has published in prestigious journals such as SHILAP Revista de lepidopterología, Circulation Research and American Journal of Physiology-Heart and Circulatory Physiology.

In The Last Decade

Sonia Rawat

8 papers receiving 460 citations

Hit Papers

Empagliflozin Increases Cardiac Energy Production in Diab... 2018 2026 2020 2023 2018 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sonia Rawat Canada 4 246 235 184 141 141 8 463
Jamie Boisvenue Canada 9 148 0.6× 215 0.9× 195 1.1× 109 0.8× 130 0.9× 10 485
Michael T. Davidson United States 7 124 0.5× 266 1.1× 141 0.8× 59 0.4× 278 2.0× 8 551
Nils Henrik Hansson Denmark 13 241 1.0× 177 0.8× 357 1.9× 120 0.9× 235 1.7× 23 668
Iris Toedt‐Pingel United States 2 93 0.4× 242 1.0× 137 0.7× 98 0.7× 65 0.5× 2 343
J. Powers United States 6 117 0.5× 140 0.6× 167 0.9× 63 0.4× 186 1.3× 12 381
Shradha Rathi United States 6 75 0.3× 227 1.0× 162 0.9× 109 0.8× 68 0.5× 7 509
Theodore M. Hill United States 3 60 0.2× 199 0.8× 406 2.2× 67 0.5× 117 0.8× 3 590
Tarek Almabrouk United Kingdom 7 154 0.6× 119 0.5× 146 0.8× 172 1.2× 94 0.7× 10 372
Zainisha Vasanji Canada 6 167 0.7× 193 0.8× 147 0.8× 270 1.9× 55 0.4× 7 511
Laura M G Meems Netherlands 9 121 0.5× 107 0.5× 260 1.4× 66 0.5× 55 0.4× 16 381

Countries citing papers authored by Sonia Rawat

Since Specialization
Citations

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

Fields of papers citing papers by Sonia Rawat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sonia Rawat

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

All Works

8 of 8 papers shown
1.
Rawat, Sonia, et al.. (2022). Prevalence of non-alcoholic fatty liver disease among diabetes, prediabetes and healthy population. SHILAP Revista de lepidopterología. 11(12). 7640–7643. 1 indexed citations
2.
Altamimi, Tariq, Su Gao, Qutuba G. Karwi, et al.. (2019). Adropin regulates cardiac energy metabolism and improves cardiac function and efficiency. Metabolism. 98. 37–48. 55 indexed citations
3.
Uddin, Golam M., Simran Pherwani, Cory S. Wagg, et al.. (2019). Abstract 868: A Cardiac Specific Branched Chain Aminotransferase Deletion Increases Insulin Stimulated Glucose Oxidation in the Mouse Heart. Circulation Research. 125(Suppl_1). 2 indexed citations
4.
Fukushima, Arata, Liyan Zhang, Alda Huqi, et al.. (2018). Acetylation contributes to hypertrophy-caused maturational delay of cardiac energy metabolism. JCI Insight. 3(10). 27 indexed citations
5.
Verma, Subodh, Sonia Rawat, Kim L. Ho, et al.. (2018). Empagliflozin Increases Cardiac Energy Production in Diabetes. JACC Basic to Translational Science. 3(5). 575–587. 293 indexed citations breakdown →
6.
Rawat, Sonia, Arata Fukushima, Liyan Zhang, et al.. (2018). Control of cardiac fatty acid metabolism in infants with hypoplastic left heart syndrome. Journal of Molecular and Cellular Cardiology. 124. 91–92. 1 indexed citations
7.
Fukushima, Arata, Osama Abo Alrob, Liyan Zhang, et al.. (2016). Acetylation and succinylation contribute to maturational alterations in energy metabolism in the newborn heart. American Journal of Physiology-Heart and Circulatory Physiology. 311(2). H347–H363. 82 indexed citations
8.
Rathi, Vikas, et al.. (2011). Study the effect of substrate thickness and permittivity on patch antenna. 2 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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