Rubin Pooni

466 total citations
12 papers, 327 citations indexed

About

Rubin Pooni is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Rubin Pooni has authored 12 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Cardiology and Cardiovascular Medicine and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Rubin Pooni's work include Diabetes Management and Research (6 papers), Cardiovascular and exercise physiology (4 papers) and Obesity, Physical Activity, Diet (3 papers). Rubin Pooni is often cited by papers focused on Diabetes Management and Research (6 papers), Cardiovascular and exercise physiology (4 papers) and Obesity, Physical Activity, Diet (3 papers). Rubin Pooni collaborates with scholars based in Canada, United States and Switzerland. Rubin Pooni's co-authors include Michael C. Riddell, Dessi P. Zaharieva, Trang T. Ly, Todd Vienneau, Kamuran Turksoy, Michael R. Rickels, Eyal Dassau, Joseph El Youssef, Mark A. Clements and Susana R. Patton and has published in prestigious journals such as PLoS ONE, Diabetes Care and Diabetes.

In The Last Decade

Rubin Pooni

11 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rubin Pooni Canada 6 189 126 91 67 64 12 327
Rahul Kapur United States 10 326 1.7× 178 1.4× 148 1.6× 34 0.5× 47 0.7× 19 588
Madeline Paternostro-Bayles United States 5 101 0.5× 89 0.7× 32 0.4× 113 1.7× 26 0.4× 9 332
Claudia Graham United States 12 471 2.5× 232 1.8× 216 2.4× 35 0.5× 26 0.4× 15 544
Maddalena Macedoni Italy 12 160 0.8× 97 0.8× 87 1.0× 36 0.5× 37 0.6× 19 290
Gary Scheiner United States 8 290 1.5× 143 1.1× 130 1.4× 34 0.5× 23 0.4× 23 335
Bartłomiej Matejko Poland 14 441 2.3× 195 1.5× 236 2.6× 90 1.3× 21 0.3× 64 639
Harald Kojzar Austria 12 478 2.5× 360 2.9× 287 3.2× 94 1.4× 30 0.5× 33 570
Arianne C. van Bon Netherlands 14 587 3.1× 389 3.1× 279 3.1× 42 0.6× 33 0.5× 28 703
Jelena Suzic-Lazić Serbia 15 51 0.3× 36 0.3× 34 0.4× 85 1.3× 324 5.1× 43 592
A. Sola‐Gazagnes France 12 298 1.6× 170 1.3× 152 1.7× 40 0.6× 12 0.2× 22 398

Countries citing papers authored by Rubin Pooni

Since Specialization
Citations

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

Fields of papers citing papers by Rubin Pooni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rubin Pooni

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

All Works

12 of 12 papers shown
2.
Yu, Winnie, Rubin Pooni, Chris I. Ardern, & Jennifer L. Kuk. (2023). Is anyone truly healthy? Trends in health risk factors prevalence and changes in their associations with all-cause mortality. PLoS ONE. 18(6). e0286691–e0286691. 1 indexed citations
4.
Lee, SoJung, et al.. (2021). Separate and combined relationships for cardiorespiratory fitness and muscular strength with visceral fat and insulin sensitivity in adolescents with obesity. Applied Physiology Nutrition and Metabolism. 46(8). 945–951. 2 indexed citations
6.
Zaharieva, Dessi P., et al.. (2020). 683-P: Menstrual Cycle and Glycemic Differences during Prolonged, Fasting Exercise in Females with Type 1 Diabetes. Diabetes. 69(Supplement_1). 2 indexed citations
7.
Zaharieva, Dessi P., Kamuran Turksoy, Rubin Pooni, et al.. (2019). Lag Time Remains with Newer Real-Time Continuous Glucose Monitoring Technology During Aerobic Exercise in Adults Living with Type 1 Diabetes. Diabetes Technology & Therapeutics. 21(6). 313–321. 90 indexed citations
8.
Riddell, Michael C., Rubin Pooni, Federico Y. Fontana, & Sam N. Scott. (2019). Diabetes Technology and Exercise. Endocrinology and Metabolism Clinics of North America. 49(1). 109–125. 14 indexed citations
9.
Riddell, Michael C., Rubin Pooni, Zoey Li, et al.. (2019). Reproducibility in the cardiometabolic responses to high-intensity interval exercise in adults with type 1 diabetes. Diabetes Research and Clinical Practice. 148. 137–143. 27 indexed citations
11.
Reddy, Ravi, Rubin Pooni, Dessi P. Zaharieva, et al.. (2018). Accuracy of Wrist-Worn Activity Monitors During Common Daily Physical Activities and Types of Structured Exercise: Evaluation Study. JMIR mhealth and uhealth. 6(12). e10338–e10338. 109 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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