Simran Pherwani

482 total citations
9 papers, 325 citations indexed

About

Simran Pherwani is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Physiology. According to data from OpenAlex, Simran Pherwani has authored 9 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cardiology and Cardiovascular Medicine, 5 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Physiology. Recurrent topics in Simran Pherwani's work include Cardiovascular Function and Risk Factors (5 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Adipose Tissue and Metabolism (3 papers). Simran Pherwani is often cited by papers focused on Cardiovascular Function and Risk Factors (5 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Adipose Tissue and Metabolism (3 papers). Simran Pherwani collaborates with scholars based in Canada, Iraq and China. Simran Pherwani's co-authors include Kim L. Ho, Qutuba G. Karwi, Gary D. Lopaschuk, Ezra B. Ketema, John R. Ussher, Cory S. Wagg, Golam M. Uddin, Keshav Gopal, Liyan Zhang and Gavin Y. Oudit and has published in prestigious journals such as Circulation Research, Diabetologia and Cardiovascular Research.

In The Last Decade

Simran Pherwani

9 papers receiving 323 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simran Pherwani Canada 8 161 157 112 81 50 9 325
J. Powers United States 6 167 1.0× 140 0.9× 186 1.7× 117 1.4× 63 1.3× 12 381
Theodore M. Hill United States 3 406 2.5× 199 1.3× 117 1.0× 60 0.7× 67 1.3× 3 590
Natasha H. Banke United States 8 193 1.2× 190 1.2× 208 1.9× 27 0.3× 31 0.6× 8 388
Jean-Marc El Arid France 6 162 1.0× 156 1.0× 81 0.7× 42 0.5× 61 1.2× 14 319
Xiao Xuan Hu China 4 132 0.8× 192 1.2× 140 1.3× 31 0.4× 42 0.8× 6 317
Nana Louise Christensen Denmark 6 83 0.5× 106 0.7× 163 1.5× 118 1.5× 51 1.0× 11 307
Charlotte Potelle France 3 148 0.9× 156 1.0× 79 0.7× 41 0.5× 37 0.7× 5 270
Alberto De Caterina Italy 7 172 1.1× 129 0.8× 58 0.5× 47 0.6× 60 1.2× 10 325
Kristoffer Berg‐Hansen Denmark 11 119 0.7× 58 0.4× 165 1.5× 82 1.0× 36 0.7× 27 299
Sonia Rawat Canada 4 184 1.1× 235 1.5× 141 1.3× 246 3.0× 141 2.8× 8 463

Countries citing papers authored by Simran Pherwani

Since Specialization
Citations

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

Fields of papers citing papers by Simran Pherwani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simran Pherwani

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

All Works

9 of 9 papers shown
1.
Pherwani, Simran, David Connolly, Qiuyu Sun, et al.. (2024). Ketones provide an extra source of fuel for the failing heart without impairing glucose oxidation. Metabolism. 154. 155818–155818. 8 indexed citations
2.
Ho, Kim L., Qutuba G. Karwi, Faqi Wang, et al.. (2024). The ketogenic diet does not improve cardiac function and blunts glucose oxidation in ischaemic heart failure. Cardiovascular Research. 120(10). 1126–1137. 10 indexed citations
3.
Pherwani, Simran, et al.. (2023). ERCP-related adverse events: incidence, mechanisms, risk factors, prevention, and management. Expert Review of Gastroenterology & Hepatology. 17(11). 1101–1116. 7 indexed citations
4.
Ho, Kim L., Qutuba G. Karwi, David J. Connolly, et al.. (2022). Metabolic, structural and biochemical changes in diabetes and the development of heart failure. Diabetologia. 65(3). 411–423. 41 indexed citations
5.
Uddin, Golam M., Qutuba G. Karwi, Simran Pherwani, et al.. (2021). Deletion of BCATm increases insulin-stimulated glucose oxidation in the heart. Metabolism. 124. 154871–154871. 30 indexed citations
6.
Karwi, Qutuba G., et al.. (2021). Concurrent diabetes and heart failure: interplay and novel therapeutic approaches. Cardiovascular Research. 118(3). 686–715. 50 indexed citations
7.
Lopaschuk, Gary D., Qutuba G. Karwi, Kim L. Ho, Simran Pherwani, & Ezra B. Ketema. (2020). Ketone metabolism in the failing heart. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1865(12). 158813–158813. 60 indexed citations
8.
Uddin, Golam M., Liyan Zhang, Saumya Shah, et al.. (2019). Impaired branched chain amino acid oxidation contributes to cardiac insulin resistance in heart failure. Cardiovascular Diabetology. 18(1). 117 indexed citations
9.
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

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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