Emily Somerset

892 total citations
20 papers, 321 citations indexed

About

Emily Somerset is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Emily Somerset has authored 20 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cardiology and Cardiovascular Medicine, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Epidemiology. Recurrent topics in Emily Somerset's work include Chemotherapy-induced cardiotoxicity and mitigation (8 papers), Cardiac Imaging and Diagnostics (6 papers) and Cardiovascular Function and Risk Factors (4 papers). Emily Somerset is often cited by papers focused on Chemotherapy-induced cardiotoxicity and mitigation (8 papers), Cardiac Imaging and Diagnostics (6 papers) and Cardiovascular Function and Risk Factors (4 papers). Emily Somerset collaborates with scholars based in Canada, Australia and United States. Emily Somerset's co-authors include Eitan Amir, Paaladinesh Thavendiranathan, Bernd J. Wintersperger, Thomas H. Marwick, Mark Nolan, Maryam Esmaeilzadeh, Tamar Shalmon, Babitha Thampinathan, Chun‐Po Steve Fan and Christian Houbois and has published in prestigious journals such as Scientific Reports, The Journal of Pediatrics and Heart.

In The Last Decade

Emily Somerset

16 papers receiving 315 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Emily Somerset Canada	11	227	153	82	63	42	20	321
Asif Padiyath United States	6	264 1.2×	181 1.2×	8 0.1×	49 0.8×	61 1.5×	17	329
Donna Natale United States	4	229 1.0×	178 1.2×	30 0.4×	22 0.3×	11 0.3×	6	313
Kaisa Ylänen Finland	9	225 1.0×	94 0.6×	14 0.2×	33 0.5×	18 0.4×	16	270
Maria Spavor Canada	7	186 0.8×	109 0.7×	27 0.3×	26 0.4×	8 0.2×	15	315
Jennifer Erley Germany	12	368 1.6×	257 1.7×	13 0.2×	46 0.7×	24 0.6×	33	429
Borah Hong United States	10	175 0.8×	32 0.2×	27 0.3×	63 1.0×	119 2.8×	39	403
Sergio Barros‐Gomes United States	12	219 1.0×	101 0.7×	39 0.5×	32 0.5×	50 1.2×	16	308
Ya-Ting Huang Taiwan	10	89 0.4×	18 0.1×	37 0.5×	46 0.7×	39 0.9×	22	245
Joel Salazar‐Mendiguchía Spain	13	301 1.3×	42 0.3×	20 0.2×	18 0.3×	36 0.9×	32	354
Kalliopi Keramida Greece	9	166 0.7×	73 0.5×	39 0.5×	48 0.8×	14 0.3×	23	230

Countries citing papers authored by Emily Somerset

Since Specialization

Citations

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

Fields of papers citing papers by Emily Somerset

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emily Somerset

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

All Works

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20 of 20 papers shown

Moayedi, Yasbanoo, Eduard Ródenas‐Alesina, Emily Somerset, et al.. (2024). Enhancing the Prediction of Cardiac Allograft Vasculopathy Using Intravascular Ultrasound and Machine Learning: A Proof of Concept. Circulation Heart Failure. 17(2). e011306–e011306.

O’Connor, Deborah L., et al.. (2024). Associations of maternal inflammatory states with human milk composition in mothers of preterm infants. Frontiers in Nutrition. 10. 1290690–1290690.

Somerset, Emily & Patrick Brown. (2024). Wastewater surveillance using differentiable Gaussian processes. Journal of the Royal Statistical Society Series C (Applied Statistics). 74(3). 675–690.

Thavendiranathan, Paaladinesh, Tamar Shalmon, Chun‐Po Steve Fan, et al.. (2023). Comprehensive Cardiovascular Magnetic Resonance Tissue Characterization and Cardiotoxicity in Women With Breast Cancer. JAMA Cardiology. 8(6). 524–524. 21 indexed citations

Mueller, Brigitte, S. Lucy Roche, Rafael Alonso-González, et al.. (2023). Impact of a quality improvement initiative with a dedicated anesthesia team on outcomes after surgery for adult congenital heart disease. JTCVS Open. 14. 188–204. 3 indexed citations

Hoban, Rebecca, et al.. (2023). Inflammatory Markers in Mother’s Own Milk and Infant Stool of Very Low Birthweight Infants. Journal of Human Lactation. 39(4). 656–665. 2 indexed citations

Calvillo‐Argüelles, Oscar, Babitha Thampinathan, Emily Somerset, et al.. (2022). Diagnostic and Prognostic Value of Myocardial Work Indices for Identification of Cancer Therapy–Related Cardiotoxicity. JACC. Cardiovascular imaging. 15(8). 1361–1376. 38 indexed citations

Esmaeilzadeh, Maryam, Kate Rankin, Tamar Shalmon, et al.. (2022). Self-Reported Physical Activity, QoL, Cardiac Function, and Cardiorespiratory Fitness in Women With HER2+ Breast Cancer. JACC CardioOncology. 4(3). 387–400. 14 indexed citations

Somerset, Emily, Angela J. Rogers, Michael C. Sklar, et al.. (2022). Machine learning approaches to the human metabolome in sepsis identify metabolic links with survival. Intensive Care Medicine Experimental. 10(1). 24–24. 11 indexed citations

10.

Esmaeilzadeh, Maryam, Emily Somerset, Tamar Shalmon, et al.. (2022). A Combined Echocardiography Approach for the Diagnosis of Cancer Therapy–Related Cardiac Dysfunction in Women With Early-Stage Breast Cancer. JAMA Cardiology. 7(3). 330–330. 26 indexed citations

11.

McCrindle, Brian W., Brigitte Mueller, Chun‐Po Steve Fan, et al.. (2021). Associations between the spatiotemporal distribution of Kawasaki disease and environmental factors: evidence supporting a multifactorial etiologic model. Scientific Reports. 11(1). 14617–14617. 9 indexed citations

12.

Marwick, Thomas H., Scott C. Adams, Babitha Thampinathan, et al.. (2021). Clinical, Echocardiographic, and Biomarker Associations With Impaired Cardiorespiratory Fitness Early After HER2-Targeted Breast Cancer Therapy. JACC CardioOncology. 3(5). 678–691. 10 indexed citations

13.

Moayedi, Yasbanoo, Emily Somerset, Filio Billia, et al.. (2021). Predicting Cardiac Allograft Vasculopathy Profiles Using Machine Learning Clustering. The Journal of Heart and Lung Transplantation. 40(4). S40–S40. 1 indexed citations

14.

Houbois, Christian, Mark Nolan, Emily Somerset, et al.. (2020). Serial Cardiovascular Magnetic Resonance Strain Measurements to Identify Cardiotoxicity in Breast Cancer. JACC. Cardiovascular imaging. 14(5). 962–974. 55 indexed citations

15.

Hoban, Rebecca, Emily Somerset, Ching Tat Lai, et al.. (2020). Mother's Own Milk Biomarkers Predict Coming to Volume in Pump-Dependent Mothers of Preterm Infants. The Journal of Pediatrics. 228. 44–52.e3. 30 indexed citations

16.

Moayedi, Yasbanoo, Maxime Tremblay‐Gravel, Emily Somerset, et al.. (2020). Run for It: Use of Cardiopulmonary Exercise Testing for Hemodynamic Assessment in Advanced Heart Failure. The Journal of Heart and Lung Transplantation. 39(4). S234–S234.

17.

Somerset, Emily, et al.. (2020). Towards a biopsychosocial understanding of neurodevelopmental outcomes in children with hypoxic-ischemic encephalopathy: A mixed-methods study. The Clinical Neuropsychologist. 35(5). 925–947. 14 indexed citations

18.

Thampinathan, Babitha, Maryam Esmaeilzadeh, Mark Nolan, et al.. (2020). Variability in echocardiography and MRI for detection of cancer therapy cardiotoxicity. Heart. 106(11). 817–823. 51 indexed citations

19.

Nolan, Mark, Thomas H. Marwick, Emily Somerset, et al.. (2019). Can Quantitative CMR Tissue Characterization Adequately Identify Cardiotoxicity During Chemotherapy?. JACC. Cardiovascular imaging. 13(4). 951–962. 34 indexed citations

20.

Somerset, Emily. (2017). Multitaper methods for cyclostationary feature detection in time series data: Application to ACE interplanetary magnetic field data. QSpace (Queen's University Library). 32. 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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